If We’re Not Careful, AI Is Rewiring Our Minds, Making Attention Scarce and Thinking Optional

AI is rapidly becoming one of the most powerful general‑purpose technologies humanity has ever built, reshaping how we consume information, entertain ourselves and relate to one another. It offers phenomenal benefits, but it also stress tests our minds. If we are not careful, AI will not just make information abundant; it will make attention scarce and thinking optional. That is how we drift into artificial ignorance: a state in which powerful tools do so much of the visible thinking that we still look intelligent on the surface, while the underlying muscles of attention, memory and judgment quietly atrophy. This is the real risk facing our children, and those raising them. The question is not only whether AI will grow more intelligent, but whether we will allow ourselves to grow less so.

1. Innovation outruns adaptation

For the first time, the rate of innovation feels consistently faster than the rate of adaptation. We barely absorbed GPT‑3 in 2022 before more capable models landed in 2023 and 2024. Agentic systems now act as digital staff, planning and coordinating quietly in the background.

The curve of technological change has risen above the curve of human or organizational adaptation. Scott Brinker’s Martec’s Law puts it more formally: technology changes exponentially, organisations change logarithmically1 .

The gap between those curves is where parents and educators now live. Children inhabit a world of ambient, on‑demand intelligence; adults are still updating policies and habits designed for a slower era. Nowhere is this gap more visible than in how we consume information and spend attention.

2. Information overload with synthetic content

Analysts now warn that we are racing toward a world where much, if not most, online content is synthetic. A Europol‑linked briefing once estimated that “as much as 90% of online content may be synthetically generated by 2026”2 . The precise number may be contested, but the direction is not. A growing share of what scrolls past our children’s eyes synthetic content spun out by machines.

AI tools generate, translate and recombine text, images, audio and video at negligible marginal cost. Studies of synthetic media on platforms like X show spikes in AI‑generated images and videos after each major model release, including viral deepfakes of public figures3 . Misinformation researchers now treat AI‑generated content as a central risk to the integrity of our information environment4 .

It is not just about opening a floodgate of information. That flood now also contains:

• more hallucinated facts — confidently wrong answers that sound right,
• more false news and deepfakes, and
• less ability to tell who — or what — actually created what we see.

For a teenager trying to understand the world, signal and noise are becoming harder to distinguish. This is classic information overload, amplified by synthetic media. In response, a cottage industry of “AI detectors” has sprung up. The problem is structural: generators improve continuously; detectors are always one step behind. Europol’s analysis warns that as synthetic media proliferates, technical detection alone will be insufficient; human judgment, contextual verification and more old-fashioned attention will be essential. In other words, the real defence has to live in our minds.

That means cultivating a different way of reading and watching:

• Ask high‑quality, grounded questions with enough context. AI systems are pattern‑matchers, not oracles. The more specific your question and situation, the easier it is to see when an answer “sounds right” but clashes with basic facts or lived experience.
• Pre‑empt your own confirmation bias. AI is far too willing to agree and flatter. Before you ask, ask yourself: What evidence would change my mind? Otherwise, you risk using smart tools to dig yourself an even deeper intellectual trench.
• Practice critical, balanced thinking. Check sources, compare perspectives and stay alert to gaslighting, missing context and plausible nonsense dressed up as authority.

These are the cognitive habits that turn AI from a hallucination machine into a thinking aid. They are also habits that children can learn — but only if adults model them.

3. How are we using AI now?

Millions of people now use AI every day. Understanding people’s interactions with AI is one of the great sociological questions of our time. Anthropic, creator of Claude.ai, recently designed a privacy-preserved tool, Anthropic Interviewer, to asks people directly (detailed interviews at unprecedented scale) to get a comprehensive picture of AI’s changing role in people’s lives, including how people are actually using Claude’s output and how do they feel about it. This is a new step in understanding the wants and needs of our users, as well as gathering data for the analysis of AI’s societal and economic impacts5.

Key Usage Trends from Anthropic Interview research results, the Anthropic Economic Index and the AI Fluency Index (late 2025 / early 2026):

• Dominant Uses: Usage is concentrated, with over one-third (36%) of Claude.ai conversations focusing on software development and coding, although educational and scientific tasks are rising.
• Automation vs. Augmentation: While AI agents have spurred an increase in automation (direct task delegation), a significant portion of users still prefer “augmentation”—using AI as a collaborative, interactive, and iterative thought partner.
• Agentic Feature Shift Over Time: By November 2025, 52% of interactions were classified as augmented, while 45% were automated, showing a shift back toward collaboration as more “agentic” (proactive) features were introduced.
• “Artifacts” Impact: When using the “Artifacts” feature (for creating documents, code, or apps), users tend to be less critical, questioning the AI’s reasoning 3.1 percentage points less often than in standard chat, suggesting higher trust in polished-looking outputs.

The trend towards agentic use cases is accelerating. It would be important to take a pause to understand what AI is doing to our brains and what skills would be required to properly leverage AI in amplifying human.

4. What AI is doing to our brains: cognitive offloading and deskilling

There is also a quieter, neurological risk: what happens when we lean on AI too much. And even experts are not immune. But let’s examine the baseline first, as illustrated in a recent MIT Media Lab study led by Nataliya Kosmyna, volunteers wore EEG‑like headsets while writing short essays and taking math tests under three conditions: using only their own brains, using a search engine and using ChatGPT as a co‑pilot6. The results were telling:

• In the brain‑only condition, participants showed the richest, most distributed brain connectivity, especially in regions linked to attention, planning and memory.
• With search engine assistance, connectivity dropped.
• With ChatGPT co-pilot, connectivity dropped roughly halved on some measures compared with the brain‑only baseline. Participants in the heavy‑AI condition were also unable to remember clearly what they had written later.
  

A single practice of using AI does not necessarily shrink our brains. But over time, if we rely on AI tools every day for years, we repeatedly offload effortful thinking to AI. In other words, we are not just using a tool, we are training ourselves not to think. That process of cognitive offloading is artificial ignorance in its purest form: high apparent output, low genuine engagement.

The more we lean on AI, the easier it becomes to let judgment idle, even in domains where we are supposed to be the experts. In the Harvard–Boston Consulting Group “jagged technological frontier” experiment, hundreds of BCG consultants were assigned to solve realistic business problems with and without GPT‑4. When they used AI on tasks inside their domain — say, telecom specialists on telecom cases — they completed 12.2% more tasks, 25.1% faster, and with 40% higher quality compared to those not using AI. But when put the same specialists on tasks outside that frontier, performance fell. Error rates rose by 19%, and consultants began relaying AI’s confident but wrong recommendations instead of interrogating them. Over‑reliance turned experts into novices, like a driver falling asleep at the wheel with cruise control on: safe on straight highways, dangerous on sharp bends7.

Deskilling also appears in the very domains where experts are strongest. A study in The Lancet Gastroenterology & Hepatology followed endoscopists after they introduced AI systems to assist with polyp detection during colonoscopy. AI‑assisted procedures improved detection in the moment, but several months later, in unassisted procedures, the doctors’ own adenoma detection rate appeared to fall by about 20%, suggesting a deskilling effect. AI sharpened the tool but dulled the surgeon8.

The remedy is not to abandon AI, but to build in “AI holidays” — regular AI‑free practice that keeps human skills alive even as machines assist. If this is what over‑reliance can do to expert cognition and performance, it is not hard to imagine what happens when still‑forming minds of the children lean on AI for more and more of their thinking. The deepest risk is that children never fully develop the habits of attention and effort that deep thinking requires.

5. AI-amplified attention casino, loneliness, anxiety and mental health exacerbation

Now move from cognition to attention. When AI is implemented in social media and smartphones, it further fragments our focus by supercharging personalised feeds and content generation. Welcome to the attention casino.

Psychologist Professor Angela Duckworth notes a worrying pattern: where students once stayed with a task for around three minutes before switching, the rise of short‑form, highly curated feeds seems to have cut this to well under a minute. The exact “45 seconds” figure is not a law of nature, but the direction is clear: attention slices are getting thinner9.

You cannot build deep expertise — or deep relationships — 45 seconds at a time.

This is not simply about willpower. Research from the University of Portsmouth and the University of Surrey finds that young adults with higher loneliness and anxiety are more prone to problematic smartphone and social‑media use. They often turn to their phones to cope, only to find that compulsive checking and late‑night scrolling make their anxiety worse. AI‑driven recommendation engines sit on top of that vulnerability, optimising for engagement, not well‑being.

Jonathan Haidt, in The Anxious Generation, offers three practices that, uncomfortably, describe many parents’ failures in fighting the attention crisis amplified by AI10:

• Treat the phone as an experience blocker, not just a distraction. It does not only steal minutes; it can steal entire childhood “sensitive periods” for learning social skills and independence.
• Scaffold real‑world risk. Children do not just need protection; they need difficult projects, physical challenges and unfamiliar groups that build anti‑fragility.
• Fight the algorithm, not the kid. Our children are not weak. They are up against billion‑dollar AI systems tuned to keep them glued to a screen. They do not need more shame; they need allies who understand the game.

The same logic extends into mental health.

On paper, Gen Z is the most connected cohort in history. Yet surveys across countries show rising loneliness and anxiety among teens and young adults. Digital habits are not the only cause, but they have become a powerful amplifier.

AI‑powered companions and “therapist” chatbots plug straight into that vulnerability. Xingye, an AI companion mobile app developed by AI powerhouse MiniMax, has around half a million daily users in China, many of them teen girls and young women11. Journalist Poppy Koronka reports that children using chatbots from Meta as therapists may see their mental health worsen. US regulators have opened investigations into AI therapy bots over misleading claims and data practices12. One clinical worry is structural: human therapy is bounded in time and space; sessions end. AI does not have office hours. A child lying awake at 2 a.m. can spend hours ruminating with an endlessly responsive bot with always-on relief, reinforcing anxious loops instead of disrupting them.

It is worth noting that AI can also support healthier habits — for example, by guiding exposure therapy, structuring journalling or offering language practice — when embedded in thoughtful products and bounded routines. But those designs remain the exception.

6. Skills for a human–AI symbiotic balance

Pull these threads together — synthetic content, artificial ignorance, attention slicing, AI‑mediated coping — and one conclusion emerges: skills for a human–AI symbiotic balance sit at the centre of a new parenting playbook. We are not just managing devices; we are shaping the relationship between our children’s minds and an always‑on layer of machine intelligence.

Human–AI co‑intelligence is less a tug‑of‑war and more a sideways infinity loop: one side human, one side machine. At different ages and in different tasks, one loop should swell while the other shrinks — sometimes the child leads and the AI merely suggests; other times the AI drafts and the human edits. The balance is not automatic; it needs deliberate, ongoing calibration.

Three skills matter most.

1. Asking good questions in the right context.

This is the antidote to both hallucination and shallow thinking. It forces us to slow down, frame problems clearly and engage our own cognition before outsourcing the rest. With teens, that might mean insisting they write their own first paragraph before asking an AI to help; with adults, it might mean defining success criteria before letting an AI agent act.

2. Judgment and discernment.

This is the daily practice of verifying claims, cross‑checking sources, resisting easy answers and being willing to update beliefs in light of evidence. AI will keep getting faster and smarter; the question is whether we, as families and communities, can get wiser at least as quickly — or whether we drift down the comforting glide path into artificial ignorance.

For adults and professionals, these two skills translate into clear guardrails. Humans stay in the loop (AI suggestions remain drafts until a responsible person signs off), AI assists but does not replace (co‑pilot, not pilot), and we schedule regular “AI‑off” sessions (or AI holidays) so people practice key skills without autopilot. In high‑stakes domains, that can mean dual‑pass reading, credentialed access to powerful tools and audits of when humans override or rubber‑stamp AI decisions.

3. Human–AI balance as a parenting habit.

For parents, the balance starts with a different set of questions. With teens, it means deciding together where AI should help and where it should stay out: which homework tasks are AI‑assisted versus AI‑free, which creative projects can use AI as a sparring partner versus a ghostwriter, and how much screen time goes to auto‑playing feeds versus deliberate research. You are not banning tools; you are co‑designing the loop.

I find it useful to picture the human–AI symbiotic partnership as an infinity symbol: one loop for the human, one for the AI. For any given task, age or situation, the loops should be different sizes — sometimes the human side dominates and AI only nudges; other times AI handles more routine work while the human decides what matters. But the human loop never disappears; keeping the human in the loop (HITL) is critical. The exact calibration of human and AI roles depends on two skills: asking high‑quality questions with enough context, and exercising judgment and discernment about when to trust, challenge or ignore what the machine suggests.

For younger children, parents can borrow Clayton Christensen’s “Jobs to Be Done” (JTBD) lens13. Stop asking “Why is my kid using this?” and start asking “What job are they hiring this for?” If a child is using AI “for homework”, is the real job avoiding boredom, chasing quick praise or actually learning the material? Do not fight the tool in the abstract. Ask what job your child is hiring it to do — and whether AI is truly doing that job well for their long‑term growth, or quietly doing the opposite.

Three concrete experiments can make this real in a single month:

• Choose one family activity — a project, trip or meal — that is planned and executed with no AI at all, simply to feel what attention without autopilot is like.
• Have one explicit JTBD conversation with your child about an app or AI tool they love: what job it is doing for them, and whether it is doing that job well.
• Set one clear boundary on AI use for schoolwork (for example, “AI may critique your draft but not write it”) and stick to it.

In the end, ambient intelligence will seep into every corner of our children’s lives. The open question is not whether they will grow up with powerful AI, but whether they will grow up with the inner skills to decide, moment by moment, when to lean on the machine — and when to leave their own minds fully in charge.

Fellow parents, let’s help one another and our children step confidently into the age of artificial intelligence, without sleepwalking into artificial ignorance.

Header image: AI-reimagining “The Thinker (Le Penseur)”, the world-famous bronze sculpture by French artist Auguste Rodin. Rodin himself said the statue thinks with “every muscle of his arms, back, and legs”. Today, as we and our children think with AI, are we allowing ourselves to become less intelligent? [Perplexity Pro]

The post The Age of Artificial Ignorance appeared first on Jumpstart Magazine.

When reality itself becomes editable.

Synthetic media refers to digital content—images, videos, audio, or text—created or significantly modified by artificial intelligence. What once required professional studios and expensive software can now be produced with a few prompts and a laptop. AI models can generate realistic human faces, clone voices, fabricate speeches, and even produce entirely fictional events that look convincingly real.

Advances in generative AI have accelerated this shift. Tools capable of producing lifelike videos, deepfake audio, or AI-generated news scripts are becoming widely accessible. While these technologies offer immense creative possibilities, they also raise profound questions about authenticity and trust in the digital age.

Historically, visual and audio recordings were treated as reliable evidence. Photographs documented history, videos captured events, and recorded voices verified statements. Synthetic media disrupts this long-standing assumption. When machines can fabricate reality with precision, the traditional relationship between media and truth becomes far more fragile.

Deepfakes and the Erosion of Visual Evidence

One of the most widely discussed forms of synthetic media is the deepfake—AI-generated or AI-altered video or audio designed to mimic real people. Deepfakes can convincingly place individuals in situations that never occurred or make them say things they never said.

This technology can be used harmlessly in entertainment, film production, and education. Actors can appear younger on screen, historical figures can be recreated for documentaries, and language dubbing can be seamlessly synchronized with lip movements.

However, the same technology can also be weaponized. Deepfake videos could influence elections, damage reputations, or spread misinformation at scale. A fabricated video of a political leader making inflammatory statements could spread rapidly before fact-checkers intervene. Even if later proven false, the damage to public perception may already be done.

The challenge is not just the existence of fake media but the speed at which it spreads. In an era of viral content and algorithm-driven feeds, a compelling piece of synthetic media can reach millions within minutes.

The “Liar’s Dividend” Problem

Interestingly, synthetic media does not only create fake content—it also undermines real content. This phenomenon is often referred to as the “liar’s dividend.”

When deepfakes become common, people can dismiss genuine evidence by claiming it is fabricated. A politician caught on video engaging in misconduct might argue that the footage is AI-generated. As the public becomes aware of the possibility of synthetic manipulation, uncertainty increases—even around authentic material.

This dynamic erodes a shared foundation of facts. In democratic societies, public debate relies on some degree of agreement about reality. If citizens cannot trust what they see or hear, collective decision-making becomes more difficult.

The liar’s dividend illustrates how synthetic media changes not only the production of content but also the psychology of trust.

Technology Fighting Technology

Despite these risks, technology is also evolving to counter the threats posed by synthetic media. Researchers are developing AI-powered detection systems capable of identifying subtle inconsistencies in manipulated content—such as irregular eye movements, unnatural lighting patterns, or digital artifacts invisible to the human eye.

Another emerging solution is digital provenance. Some organizations are working on systems that attach cryptographic signatures to photos and videos at the moment of capture. These signatures create a verifiable record showing when and where a piece of media was created and whether it has been altered.

Large technology companies, media organizations, and research institutions are collaborating on standards for content authenticity. These initiatives aim to establish transparent chains of custody for digital media so that viewers can verify the origin of what they are seeing.

While no detection method will be perfect, combining technical tools with platform policies and regulatory frameworks may help maintain some level of trust in digital content.

Media Literacy in the Age of AI

Ultimately, technology alone cannot solve the problem of synthetic media. The human factor—how people interpret and evaluate information—will play a crucial role.

Media literacy is becoming a critical skill in the AI era. Individuals must learn to question sources, verify information across multiple channels, and remain cautious about sensational content. Instead of assuming that a photo or video is proof, audiences may need to treat digital media as one piece of evidence among many.

Educational institutions, journalists, and public organizations will increasingly focus on teaching these critical thinking skills. Understanding how AI-generated media works can help people recognize its limitations and potential misuse.

At the same time, responsible creators and companies must adopt ethical guidelines when deploying synthetic media technologies. Transparency—clearly labeling AI-generated content—can help maintain public trust.

Redefining Truth in a Synthetic World

Synthetic media does not necessarily mean the end of truth, but it does require society to rethink how truth is established and verified. Instead of relying solely on visual evidence, future systems may depend more heavily on verified sources, digital authentication, and trusted institutions.

In many ways, the challenge mirrors earlier technological disruptions. The printing press, photography, radio, and the internet all transformed how information spreads and how truth is perceived. Each shift forced societies to develop new norms, institutions, and safeguards.

Artificial intelligence represents the next stage in this evolution. The tools that can fabricate convincing realities also have the potential to enhance creativity, storytelling, and education in unprecedented ways.

The future of truth will likely depend on a balance between innovation and accountability—where technology continues to advance, but systems of verification, ethics, and public awareness evolve alongside it.

In a world where reality can be synthesized, the most valuable currency may not be information itself, but trust.

Header image from Pexels

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Everyone has AI; few have real advantage

Building a sustainable business just got harder. Over the past eight decades, the average lifespan of S&P 500 companies has collapsed from 67 years to just 15. That’s not a slow decline—it’s a cliff dive, and it should concern every founder building today.

In an AI-driven economy, what once took a year of product development can now be replicated with a few prompts and a polished interface. That sounds exciting—and it is. But it also creates a paradox: AI has never been more accessible, yet lasting competitive advantage has never been more fragile.

Still, defensible companies are being built. Perplexity’s rise to millions of users and significant revenue shows that differentiation is possible—even when everyone has access to the same tools. AI may have lowered barriers to entry, but it hasn’t eliminated the opportunity to build something valuable and durable.

The question is no longer whether to use AI. It’s how to create differentiation when traditional moats can disappear overnight. In today’s landscape, advantage looks very different—and investors know it.

When Everyone Has the Same Models, Advantage Shifts Elsewhere

Foundation models have become a universal input. From writing and research to design and coding, nearly every company can tap into the same AI capabilities. As a result, simply “using AI” is no longer a competitive advantage.

When everyone builds on the same models, outputs converge. McKinsey captures it bluntly: generic inputs lead to generic outputs—and generic performance. As markets crowd, price competition increases and margins erode.

So where does advantage come from now? It shifts to application, not access.

Winning companies differentiate through three areas: proprietary data, deep workflow reinvention, and ecosystem orchestration. Instead of focusing on training models, they focus on deploying AI to solve high-value problems inside real business processes.

The most successful founders treat AI models as interchangeable components, not assets to own. The moat isn’t the model—it’s how AI is operationalized to create value competitors can’t easily replicate.

AI’s democratization hasn’t ended competition. It’s intensified it.

From Features to Habits: Designing AI Products Users Can’t Replace

Features are easy to copy. Habits are not.

Strong AI moats are built by embedding products into daily behavior. The smartest founders focus less on features and more on habit formation—designing products users rely on instinctively.

Behavioral science explains this through the habit loop: trigger, action, reward, and investment. Each cycle increases user dependence and raises switching costs rooted in psychology, not technology.

Consider AI writing tools. The initial benefit is speed or quality, but the real moat forms over time as the product adapts to a user’s style and preferences. After months of use, switching tools means losing accumulated personalization—and starting over.

Founders building defensibility focus on three things:

• High-frequency use cases. Daily problems create repeated habit loops.
• Proprietary learning. Every interaction should improve the product in ways competitors can’t access.
• Network effects. When usage by others improves the experience, leaving becomes costly.

The strongest products aren’t just useful—they’re embedded so deeply that replacement feels unthinkable.

Moats Investors Actually Believe in (and the Ones They Don’t)

Nothing makes investors tune out faster than hearing “proprietary AI algorithm” as the primary moat. Algorithms are replicable—and often quickly out-executed by better-resourced competitors.

What investors do believe in is far less glamorous:

1. Real network effects where each new user increases value for others.
2. Meaningful proprietary data generated through unique interactions.
3. Deep workflow integration that makes switching operationally painful.

First-mover advantage is also widely overestimated. Being early often means paying to educate the market while followers learn cheaply.

Investors care less about exclusive technology and more about systems that lock in customer behavior. The strongest moats are built where AI enables value that compounds over time—through data, integration, and usage patterns that are hard to unwind.

In short, investors back businesses that are difficult to replace, not difficult to copy.

How to Build Defensibility Without Inventing New Tech

You don’t need breakthrough AI to build a moat. You need thoughtful implementation.

Three priorities matter:

1. Turn your product into a habit. If switching requires retraining how users think and work, you’ve won.
2. Own the workflow. Deep integration creates real switching costs.
3. Design compounding network effects. Each user should make the product stronger.

Investors have adapted to this reality. They’re less impressed by technical novelty and more focused on whether a product collects unique data, embeds itself into operations, and delivers value competitors can’t easily dislodge.

While many chase the latest AI model, durable companies focus on real problems and sticky solutions. They treat AI as infrastructure—not the headline.

Your competitive advantage won’t come from exclusive access to technology. It will come from using widely available technology in ways that become indispensable.

The race isn’t about who has the best AI. It’s about who builds the most valuable, irreplaceable experience when everyone has it.

Header image from Pexels

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The smartest founders choose funding models that match their long-term vision.

Bootstrapping a business may be a wiser survival strategy than the traditional “get funded or die” mindset. While 90% of startups fail regardless of funding, deeper data reveals a more nuanced reality. Bootstrapping—building a company using personal finances or early operating revenue—offers surprising advantages. Although funded startups grow 1.5x faster in their first five years, bootstrapped ventures are 3x more likely to be profitable within three years, report 35% fewer layoffs during downturns, and spend 45% less on customer acquisition.

The statistics are compelling: bootstrapped startups have a 55% higher chance of reaching break-even within two years, yet only 30% of VC-backed companies ever reach profitability. Long-term survival also favors bootstrappers, with a 38% ten-year survival rate compared to 20% for funded startups.

This guide helps you navigate the bootstrapping vs funding decision with data—not hype. Whether exploring bootstrapping options or considering venture capital, understanding these patterns may determine whether your business becomes sustainable or becomes another failure statistic. We’ll examine the tradeoffs between control and capital, the risks involved, and how your funding strategy should align with long-term vision.

The Founder’s Dilemma: Control vs Capital

Every founder must decide whether to bootstrap business operations or raise external funding—a choice that determines who controls the company’s future. Bootstrapping maintains 100% ownership and full decision authority, enabling founders to follow their vision without investor pressure. Though financial constraints are real, they often force efficiency, innovation, and discipline.

Funding accelerates growth by providing immediate capital, but equity is only part of the cost. Investors typically require board seats, reporting, and aggressive growth targets. Founders who bootstrap retain an average of 75% ownership even after a decade, while venture-backed founders often hold under 15% by Series C. Bootstrapped founders also report 58% higher satisfaction with work–life balance.

Ultimately, the dilemma is simple: own a smaller share of a potentially larger outcome, or maintain majority ownership of a possibly smaller—but entirely yours—business? Your answer should align with your values around autonomy, pace of growth, and the type of entrepreneurial life you want.

Real-World Tradeoffs: Speed, Risk, Flexibility

At the heart of the funding decision lies the choice between speed and sustainability. Bootstrapped startups typically grow slowly, yet maintain a five-year survival rate of 35–40%, far higher than the 10–15% rate of VC-backed ventures.

Capital undeniably fuels speed. Funding allows rapid hiring, product expansion, and market capture. Yet speed often leads to premature scaling—the cause behind 74% of high-growth startup failures.

Financial discipline becomes a natural consequence of bootstrapping. With every expense scrutinized, unit economics strengthen and profitability arrives sooner: 25–30% of bootstrapped startups become profitable early, compared to just 5–10% of funded companies.

Risk also differs. Bootstrappers shoulder personal financial risk, but avoid the aggressive hiring cycles and layoffs common in VC-backed ventures. Funded founders enjoy financial stability regardless of revenue, often earning $100k+ salaries, but face intense pressure for rapid returns.

Operational flexibility is one of bootstrapping’s greatest advantages. Without investor expectations dictating growth, bootstrapped teams can focus on customer needs, pivot quickly, and build cultures grounded in long-term vision rather than quarterly targets.

Long-Term Vision: What Kind of Business Are You Building?

Your funding decision ultimately reflects the type of business you want to create. According to industry data, 78% of startups begin with personal savings, making bootstrapping the most common entrepreneurial path—not a fallback option. For many, bootstrapping is a philosophy that prioritizes independence, sustainability, and profitability from day one.

Benjamin Cahen’s story illustrates this: he reached $1 million in annual revenue within five years without hiring early staff or raising capital. “When you have no funds, you only pay for what’s critical,” he notes—a mindset core to bootstrapping.

Bootstrapped companies often pursue long-term sustainability, managing resources carefully and focusing on fast revenue generation. Mailchimp grew this way before its $12 billion acquisition by Intuit, and Basecamp built its reputation on profitability-first discipline.

VC funding, however, suits businesses targeting rapid market domination or operating in capital-intensive, winner-takes-all environments. As one founder observed, VC is essential “if your market requires speed to become the winner.”

Experienced entrepreneurs who have successfully bootstrapped often emphasize the lifestyle benefits: “enormous profitability… and total freedom to design the life you want.” Bootstrapping allows founders to enjoy “mini exits every year” through consistent profit.

The real question: Are you building a unicorn or a resilient, profitable company? Both paths are valid, but the journey and expectations differ dramatically.

Conclusion

Our exploration challenges the assumption that startups must raise capital to succeed. Bootstrapped companies show a 38% ten-year survival rate versus 20% for funded ventures, underscoring that external financing does not guarantee success.

Bootstrapping offers financial independence and operational control. Without investor pressure, founders maintain ownership—typically 75% after a decade—and can build in alignment with personal values. The discipline required often leads to earlier profitability and stronger business fundamentals.

Success stories like Mailchimp and Basecamp show that sustainable, profitable businesses can thrive without VC money. Conversely, funded startups benefit from speed and resources—essential in markets where being first matters.

Before choosing a path, ask yourself which type of business—and life—you aspire to create. The majority of entrepreneurs (78%) start with personal funds not because they lack alternatives, but because they choose independence and resilience.

In the end, whether you bootstrap or raise capital, success comes from building something customers value enough to pay for. The right path is simply the one that best supports that mission—and the entrepreneurial life you want to build.

Header Image from Pexels

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This isn’t just a story told through numbers—it’s a journey of impact, of two visionaries who dared to dream big and of a team that brings that dream to life every day for clients across India, the U.S., Europe, Asia-Pacific, Canada, Australia and beyond.

This is Mercurius: a name built on resilience, trust and relentless commitment.

From modest roots to a global presence

In 2008, Ankit Jain and Siddhartha Havelia chose courage over comfort. Leaving behind secure roles at renowned firms like PwC, American Express and Grant Thornton, they stepped into the unknown—armed only with experience, conviction and a shared vision to make finance more meaningful.

They began with the basics—conducting physical verification of assets from a small, no-frills office. No glossy presentations. No big promises. Just one guiding principle: “Let your work speak for you.”

And it did.

One client led to ten, ten to a hundred. Every project completed, every challenge overcome, built something more than a portfolio—it built trust. And that trust became the true currency of Mercurius—earned with integrity, sustained by impact.

Mercurius: More than just a name

Today, Mercurius stands for more than what’s printed on a letterhead—it’s a symbol of integrity, excellence and partnerships that transcend borders. With a team of over 400 professionals and clients across more than 60 countries—from India to the U.S., Singapore to the UAE, Australia to the U.K.—Mercurius is both a financial ally and a trusted guide through the ever-evolving complexities of global business.

Their work goes far beyond routine compliance. From helping startups expand into new jurisdictions, to conducting rigorous audits, to driving growth with strategic tax advisory, Mercurius empowers businesses at every stage. The firm navigates US GAAP, IFRS, ESG mandates, SPAC structures and cross-border tax landscapes with precision.

Their Global Capacity Centres (GCCs) offer clients a reliable platform to delegate essential accounting and compliance functions, ensuring accuracy, efficiency and adherence to the highest professional standards.

But while others chase numbers, Mercurius stays focused on impact. Its global expansion—from North America to Europe, Asia-Pacific to the Middle East—isn’t just about presence; it’s about reshaping the future of finance. By integrating AI-powered tools and staying ahead of emerging trends, the team ensures clients receive smarter, faster and more agile solutions in a rapidly shifting world.

The people behind the purpose

What truly sets Mercurius apart isn’t a slick tagline or aggressive marketing—it’s the people. A team of professionals who lead with integrity, think proactively and bring both insight and initiative to every client interaction.

At the helm are 12 partners, including co-founders Ankit Jain and Siddhartha Havelia—seasoned leaders with deep roots in accounting and finance, each bringing a unique strength to the firm’s foundation and growth.

Ankit Jain is known for his precision and strategic mindset, especially in audit, taxation and valuations. His leadership has been instrumental in driving Mercurius’ global expansion and steering its long-term vision.

Siddhartha Havelia, with his technical expertise in valuations and process transformation, champions innovation while nurturing a people-first culture, where collaboration, learning and growth are more than just values; they’re daily practice.

At Mercurius, people don’t just perform tasks—they build careers, shape purpose and help clients create enduring legacies.

Solving for growth: How Mercurius helps businesses break through

As the startup ecosystem continues to thrive, many entrepreneurs find themselves navigating uncharted territory. Their drive to build something meaningful is clear, but turning vision into reality often comes with a maze of financial, regulatory and operational challenges.

In the thick of it all, what founders need isn’t just a service provider—they need a partner, someone who understands the highs and lows of building from the ground up. That’s where Mercurius comes in. More than just advisors, they walk alongside businesses helping them stay compliant, make smart strategic decisions and manage financial complexities with clarity and confidence.

Offering end-to-end business setup services from entity structuring and registration to tax and regulatory onboarding, Mercurius simplifies the startup journey by ensuring every compliance requirement is met from day one.

Earning global trust, one milestone at a time

Mercurius has earned its place on the world stage not just through the clients it serves, but through consistent recognition across global platforms. As a member of prestigious international networks, such as TAG Alliances and United Tax Network (UTN), and a registered firm with regulators including the PCAOB (USA) and CPAB (Canada), Mercurius demonstrates its unwavering commitment to cross-border compliance and audit excellence.

Its commitment to quality is reinforced by globally recognised credentials, including ISO 9001:2015 and ISO 27001:2013 certification, and a team of professionals holding esteemed qualifications such as CPA (USA & ICAEW) and ACCA (UK)—underscoring the firm’s adherence to international standards and its global perspective.

From telecommunications and real estate to aviation, finance and technology, Mercurius’ impact spans industries and geographies. This work has earned the firm several accolades, including:

• Most Trusted Accounting Firm Award, FiNext (2025)
• Rising Accounting Firm Award, Business Connect (2023)
• India’s Leading Partner in Accounting and Tax, Brand Vista (2024-2025)

With services ranging from financial reporting and tax advisory to ESG compliance and transaction support, Mercurius is the strategic partner for businesses looking to scale with clarity. The firm doesn’t believe in one-size-fits-all solutions. It crafts custom strategies aligned with each client’s ambition—filling gaps, solving challenges and enabling long-term growth.

Clients don’t just engage Mercurius—they stay, refer and grow with it.

In the spotlight

Mercurius has garnered attention from leading publications and platforms for its contributions to the financial services landscape. A defining moment was its feature in Forbes India, which highlighted the firm’s growth story and its forward-thinking approach to outsourcing and client-first innovation.

Beyond Forbes, Mercurius has been showcased on prominent national platforms, such as Zee Bharat and NewsX, where its leadership has shared insights on financial trends, compliance and the entrepreneurial landscape.

These features go beyond visibility; they reflect the industry’s growing trust in Mercurius’ vision, voice and consistent delivery.

Image by Mercurius

Where trust meets transformation

In the world of finance, trust is both the rarest and the most fragile asset. Mercurius has earned its reputation through unwavering dedication, transparency and a deep-rooted commitment to doing what’s right. The result? Not just a firm, but a thriving community where businesses grow and people matter.

Mercurius isn’t just about accounting; it’s about transformation. They’re the steady partner for entrepreneurs chasing dreams and the strategic guide for companies navigating complexity.
Their name has come to stand for more than services; it stands for trust, excellence and a future where finance empowers, not just informs.

So the next time finance feels transactional, think again.

Think of Mercurius—where others see numbers, they see potential.

Also read:

• Is Your House Equipped to Start a Home Business? What to Consider
• The Rapid Rise of FinTech in India
• India’s Billion-Dollar Startups: 6 Indian Startups That Turned Into Unicorns in 2024

Header Image from Mercurius

The post Mercurius: Empowering Finance, Enabling Futures appeared first on Jumpstart Magazine.

In the dynamic landscape of biologics and protein therapy, research, precision, reliability and efficiency are paramount. Innovations such as Homogeneous Time-Resolved Fluorescence (HTRF) technology have become pivotal for sensitive assays and complex molecular interactions. Choosing the ideal instrument is essential for ensuring accurate, reproducible results.

Understanding HTRF and its significance

HTRF combines fluorescence resonance energy transfer (FRET) with time-resolved detection to reduce background noise and enhance signal accuracy. By delaying emission measurement by approximately 50–100 µs after excitation, HTRF filters out short-lived autofluorescence, delivering cleaner data and sharper results when analyzing binding kinetics and low-abundance targets.

Applications range from protein–protein interaction studies to drug efficacy screening. HTRF’s high sensitivity also makes it suitable for patient-derived samples, supporting emerging  personalized medicine workflows such as patient-specific assay profiling and therapeutic development.

Key features to consider when selecting an HTRF plate reader

Advanced time-resolved detection capability
Ensure the device offers gated detection to implement a 50–100 µs delay post-excitation. This capability is critical for minimizing background and maximizing sensitivity in assays with low signal levels.

Sensitivity and precision
High-quality optics—whether monochromators or fixed filters—combined with low-noise detectors provide reproducible results even from small-volume samples under 20 µL. According to comparative testing, fluorescence-optimized readers deliver superior sensitivity and accuracy over conventional formats.

Flexibility and ease of use
Look for customizable excitation/emission wavelength selection to accommodate evolving assay needs. Intuitive software and automation minimize manual steps, streamlining workflows. Some manufacturers offer specialized htrf plate reader platforms designed for high-throughput screening.

High-throughput compatibility and miniaturization
Support for 384- and 1536-well formats with volumes down to 16 µL preserves data quality during scale-up. Precise plate handling and environmental control reduce edge effects and inter-well variability.

Dynamic range and automation integration
Enhanced dynamic range (EDR) technology automatically adjusts gain for each well, maintaining linearity across several orders of magnitude without manual calibration. Integration with robotic systems further boosts throughput and consistency.

The real-world impact: Confidence, reliability and innovation

A well-chosen HTRF plate reader can accelerate decision-making in time-sensitive projects and reduce troubleshooting. As described in recent health-tech analyses, integrating advanced detection with AI-driven workflows is reshaping biopharma research. These approaches are increasingly being explored for complex models such as organoid assays to 3D bioprinting applications.

Making a thoughtful choice for future-proof research

Investing in the right HTRF-compatible system ensures your lab remains at the forefront of biologic discovery and personalized medicine. Evaluate technical specifications alongside practical workflow needs, and consult reputable suppliers offering dedicated solutions that match your research goals.

By prioritizing advanced detection, sensitivity, flexibility and scalability, you empower your team to drive the next breakthroughs in biologics and protein therapy development.

Also read:

• What Is Healthcare Interoperability and How Does It Benefit Providers and Patients?
• Top 4 Telehealth Platforms Delivering Comprehensive Healthcare for Women
• From Lab to Cradle: The Rise of Artificial Wombs in Modern Medicine

Header Image from Freepik

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It seems that our brains are wired to spend money impulsively, and retailers have become adept at exploiting these psychological triggers. Understanding the science behind impulse spending is the first step toward regaining control of your financial decisions and building lasting wealth.

The neuroscience of impulse buying

When you spot something desirable, your brain releases dopamine—the same chemical involved in addiction. That chemical surge creates a powerful urge to purchase, often overriding rational thinking. Marketers amplify this effect with tactics like creating scarcity (“Only 3 left!”), social proof (“1,000+ people bought this today”) and time pressure (“Sale ends tonight!”).

The prefrontal cortex—the region responsible for rational, long-term decision-making—takes longer to activate than the emotion-driven limbic system. This brief delay leaves a window in which emotions drive spending decisions before logic can intervene. Recognizing this biological reality helps you implement strategies that work with your brain rather than against it.

Practical strategies to beat impulse spending

The 24-hour rule plus

For any non-essential purchase over $50, wait 24 hours. For bigger purchases, extend the cooling-off period to a full week. During this pause, the emotional intensity fades, and rational thinking can reassert itself.

Moreover, keep a “want list” where you write down desired items and the date you first wanted them. Review this list monthly—you’ll be surprised how often the appeal disappears over time.

The separate accounts strategy

One of the most effective ways to control impulse spending involves using multiple checking accounts for different purposes. This creates physical barriers that promote conscious spending.

The Three-Account System includes:

• Bills account: Fixed expenses only.
• Spending account: Fun money, capped by a clear monthly limit.
• Goals account: Savings and future purchases.

When the spending account is empty, you’re done for the month. That separation prevents you from tapping money earmarked for bills or savings on impulse purchases.

Many people discover that researching the best checking account offers for this system provides additional benefits—welcome bonuses can fund your initial spending accounts, while better account features make money management easier.

Environmental controls

• Remove stored payment information: Adding friction to online purchases dramatically reduces impulse buying. Having to enter card details manually creates a pause that often breaks an impulse purchase.
• Unsubscribe from marketing: Email promotions and push notifications are designed to trigger impulse purchases. Reduce exposure by unsubscribing from retailer lists and turning off shopping app notifications.
• Shop with lists: Whether shopping in-store or online, stick to predetermined lists. This keeps you focused on actual needs rather than spontaneous wants.

The replacement strategy

Instead of completely banning all discretionary spending, swap pricey impulses for cheaper alternatives. Craving expensive coffee? Brew premium coffee at home. Eyeing new clothes? “Shop” your wardrobe first or visit thrift stores.

This still helps you satisfy the emotional need to “get something new” without the financial damage of full-price impulse purchases.

Advanced behavioral techniques

Mental accounting

Create specific savings goals and fund them with separate accounts. When you’re tempted to make an impulse purchase, compare it to your goals: “Is this $200 gadget worth delaying my vacation by two weeks?” Using bonuses from the best checking account offers to fund specific goals can make those trade-offs even more concrete and emotionally meaningful.

True cost analysis

Translate the real cost of purchases into work hours. If you earn $20/hour after taxes, a $100 impulse buy costs five hours of your life. This reframing often puts purchases in perspective.

Gratitude practices

Regular gratitude exercises lower the psychological urge for new purchases by increasing satisfaction with current possessions. Spend five minutes every week appreciating items you already own.

Building long-term resistance

Track emotional spending: Keep a spending journal, noting your mood and circumstances for each purchase. Patterns will emerge, helping you identify personal triggers.

Automate savings first: When the best checking account offers provide bonuses, direct this money immediately to savings goals. Paying yourself first reduces money available for impulse spending.

Find alternative rewards: Replace shopping with activities that deliver similar emotional benefits—exercise, time with friends, creative hobbies or nature.

The compound effect

Small impulse purchases seem harmless individually, but they can add up drastically over time. Spending $50 weekly on impulse purchases equals $2,600 a year—money that could accelerate major financial goals. 

By understanding the psychology behind impulse spending and implementing systematic controls, you transform from a reactive spender to an intentional saver. Your future self will thank you for every impulse you successfully managed.

Remember, the goal isn’t to eliminate all spontaneous purchases, but to ensure they’re conscious choices aligned with your values and financial goals, rather than emotional reactions to clever marketing.

Also read:

• How to Manage Your Digital Money Better: Effective Strategies from Budgeting to Security
• 10 Clever Ways to Save Money as a Business Owner
• How Do Stores Get You to Spend More Money?

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The post The Psychology of Impulse Spending (And How to Beat It) appeared first on Jumpstart Magazine.

This magical timber might just outmuscle steel—or is it all just a wooden myth?

Steel underpins everything from high‑rises to hatchbacks, but a new class of densified wood nicknamed “Superwood” is vying for the crown. Picture façade panels that shrug off hurricane‑force winds or lightweight decking that matches the pulling strength of mild steel yet weighs only a sixth as much. That’s the promise behind InventWood, a University of Maryland spin‑off racing to scale production by summer 2025.

In this article, let’s explore how this super-charged timber is manufactured, why it has architects buzzing and whether it is truly ready to challenge steel’s heavyweight title.

What exactly is Superwood—and can it really replace steel?

Superwood plank 

Image by InventWood via GlobeNewswire

The story of Superwood begins with a 2018 Nature paper by materials scientist Prof. Liangbing Hu from the University of Maryland. In that study—“Processing Bulk Natural Wood into a High-Performance Structural Material”—Hu’s team showed that by stripping out part of wood’s lignin and then hot-compressing the softened fibres, ordinary timber could be re-engineered into a material strong enough to rival mild steel. Building on those findings, Hu co-founded InventWood to bring the technology out of the lab and into construction sites.

Since then, InventWood has raised about US$50 million and broken ground on a 90,000‑square‑foot plant in Frederick, Maryland. The company’s Series A round, closed on 30 April 2025, will also scale up a pilot line in British Columbia and cement key commercial partnerships.

According to CEO Alex Lau, the Frederick plant will turn out one million square feet of Superwood per year beginning this summer. The first wave targets premium commercial and residential interiors—think high-end wall panelling, flooring and cabinetry. A second phase, slated for autumn 2025, expands into exterior-grade panels for cladding and roofing. Lau says full structural members—beams and columns—are on the roadmap “within a few years”, pending the final round of fire, seismic and long-term creep certifications.

InventWood’s manufacturing facility

Image from Connext CRE

How Superwood is made

Turning poplar or basswood into Superwood starts with a bath of sodium hydroxide and sodium sulfite—both common, food‑grade chemicals. The treatment removes some of the lignin (i.e. the natural polymer that makes wood rigid) and hemicellulose in the wood, softening the timber without destroying its grain. 

Next comes hot compression at about 150 °F (65 °C). The heat collapses the cell walls of wood, forces cellulose fibres into near‑perfect alignment and squeezes out almost every air pocket. In that tight configuration, the fibres form millions of hydrogen bonds, locking together into a material up to four times denser and ten times stronger than the parent wood. 

The resulting material is a dark, richly grained board that still looks like wood but behaves more like a high‑performance composite. And here is a fun fact: cellulose nanocrystals (CNCs) inside those fibres can reach tensile strengths of around 7.5 GPa—higher than many commercial carbon fibres (around 3.5 GPa)—which explains Superwood’s exceptional performance.

Performance: Strength, weight and safety

Superwood’s most eye-catching advantage is its strength-to-weight performance. InventWood says that this material delivers roughly 50% more tensile strength than mild structural steel and a strength-to-weight ratio that is ten times higher than steel. Yet, it tips the scales at only one-sixth the weight of steel. This unique combination of strength and weight makes it ideal for projects that need durability without the bulk, offering a smarter, more sustainable way to build. 

That muscle comes with staying power: the board’s extreme density makes it highly resistant to rot, termites, warping and moisture. In fact, InventWood records less than 8% swelling after prolonged humidity exposure—a level of dimensional stability unheard-of in untreated timber. Fire behavior is equally impressive: façade-thickness panels earn an ASTM E84 Class A rating because the compressed wood is so dense it starves flames of oxygen, causing the surface to char slowly and self-extinguish.

Environmental impact: Toward carbon‑negative construction

Concrete and steel are carbon heavyweights. Every year, the steel industry pumps out about 3.6 billion tonnes of CO₂, while cement production adds another 2.9 billion tonnes. No wonder architects and engineers are scrambling for low-carbon and sustainable building materials.

Superwood changes the equation. Cradle-to-gate life-cycle studies indicate about 90% lower emissions per strength unit than steel, thanks to low‑temperature processing that uses far less energy. As the material is still 100% wood, it locks away the carbon the tree absorbed while growing and continues to store that biogenic carbon for decades. At the end of its service life, it can biodegrade safely—so long as it’s not incinerated—returning nutrients to the soil instead of lingering as landfill or scrap.

Image from Architecture2030

Combining these factors, Superwood offers a credible path to carbon-negative construction when it is sourced from responsibly managed forests and used as a substitute for emissions-intensive steel or concrete. Its environmental credentials, coupled with mechanical performance that meets or exceeds conventional materials, make Superwood one of the most promising tools in the effort to decarbonize the built environment.

Why architects and builders should care

Superwood gives designers the look and feel of real timber yet delivers mechanical properties that outperform everyday structural steel. Since each board weighs only a fraction of its metal counterpart, crews can use smaller foundations, lighter cranes and fewer truckloads—savings that show up in both the budget and the project timeline.

The material’s low-embodied-carbon profile also helps projects meet tough green-building standards such as LEED, WELL or the EU Taxonomy without the trade-offs that often come with alternative products. Moreover, although it is densified, it is still pure wood, retaining the biophilic warmth and natural grain clients love—just without the rot, termites or warping that keep facility managers awake at night.

The road ahead

In conclusion, Superwood is shaping up to be more than just hype—it’s a real contender in revolutionizing construction. If InventWood’s rollout stays on schedule, architects and builders could start specifying densified-wood cladding and decking as early as next year, with load-bearing members following soon after. Whether the material ultimately replaces steel across the board or carves out a substantial niche, the next few years will be pivotal for sustainable construction. One thing is clear: a lighter, stronger, carbon-storing alternative is entering the toolkit, and forward-thinking firms will want to keep it on their radar.

Also read:

• Are Electric Vehicles Truly Eco-Friendly?
• 4 Companies Reusing Coffee Husk for Eco-Friendly Innovations
• 3 Innovative Startups Transforming Food Waste into Eco-Friendly Products
• Meet the 4 Startups Transforming Potatoes into Eco-Friendly Products
• 5 Eco-Friendly Construction Technologies That Are Shaping Our Future Cities

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These drone startups prove the future of mobility and logistics is airborne.

Drones have rapidly evolved from simple toys into advanced, practical tools used across industries worldwide. Thanks to advances in technology and rising demand for efficient aerial solutions, the drone industry is witnessing remarkable growth. According to Technavio, the commercial drones market is projected to grow by US$102.74 billion between 2024 and 2029, growing at an impressive compound annual growth rate (CAGR) of 44%.

In this article, we highlight six innovative drone startups making significant impacts across different sectors with their groundbreaking technologies and applications.

EHang (China): Shaping the future of urban air mobility

The EH216-S by Ehang

Image by Ehang

EHang, founded in 2014 by Huazhi Hu and Derrick Xiong, is headquartered in Guangzhou, China. The startup aims to make urban air travel safe, sustainable and accessible to everyone. With operations spanning Asia-Pacific, EHang is increasingly gaining traction in European and North American markets.

The EH216-S, EHang’s flagship autonomous aerial vehicle (AAV), is specifically engineered for short-distance flights carrying up to two passengers. Utilizing electric vertical takeoff and landing (eVTOL) capabilities, the EH216-S operates without a pilot and holds the distinction of receiving the world’s first certification for autonomous passenger drones from the Civil Aviation Administration of China (CAAC).

Beyond passenger drones, EHang also manufactures unmanned aerial vehicles (UAVs) for logistics, firefighting, emergency response and captivating aerial media displays. Notably, the startup pioneered mass drone performances, earning Guinness World Records for spectacular drone light shows in 2018. Having successfully conducted test flights of its EH216-S in Mexico, EHang continues to expand globally. Going public in 2019, EHang has achieved a market capitalization of approximately US$1.22 billion as of May 2025, with total funding around US$100 million.

Terra Drone (Japan): Innovating industrial inspection and mapping

Image by Terra Drone

Established by Toru Tokushige in 2016, Terra Drone is based in Tokyo, Japan. The startup’s mission revolves around building advanced digital infrastructure to enable safe and efficient drone operations worldwide. 

Terra Drone specializes in drones equipped with state-of-the-art sensors and light detection and ranging (LiDAR) technology, essential for precision inspections and 3D mapping. Its latest development, the Terra Xross 1 drone, is designed specifically for challenging indoor inspections at industrial sites such as oil and gas facilities, telecom infrastructure and construction environments.

Globally recognized, Terra Drone ranks as the world’s leading drone service provider, with over 3,000 successful projects completed internationally. It collaborates closely with industry leaders including Shell, Chevron and Mitsui. Following its 2024 IPO on the Tokyo Stock Exchange, Terra Drone currently has a market valuation of about US$390 million, having raised US$98 million in funding.

Zipline (the U.S.): Revolutionizing drone-based delivery

Image by Zipline

Zipline was founded in 2014 by Keller Rinaudo Cliffton, Keenan Wyrobek, Ryan Oksenhorn and William Hetzler. Headquartered in South San Francisco, California, the startup’s vision is to create an equitable logistics system providing instant access to goods worldwide. Currently, Zipline operates in eight countries across four continents.

Initially known for delivering critical medical supplies in Rwanda, Zipline has broadened its services to include food, retail items and agricultural products. Its autonomous fixed-wing drones swiftly deliver packages using precise parachute and tether drop-off methods, with a remarkable 100-mile round-trip capability per battery charge.

Zipline has impressively logged over 100 million autonomous flight miles and completed more than one million deliveries globally. Recognized by CNBC’s Disruptor 50 and Time’s Best Inventions of 2018, Zipline maintains partnerships with Walmart, several African health ministries and prominent healthcare organizations. With approximately US$900 million raised, Zipline’s valuation currently stands around US$4.2 billion.

Azur Drones (France): Pioneering autonomous surveillance

Image by Azur Drones

Founded in 2012 near Bordeaux, France by Stéphane Morelli, Azur Drones specializes in autonomous drone technology through its innovative Skeyetech docked UAV platform. Dedicated to enhancing security and safety, the company aims to standardize autonomous aerial surveillance globally, expanding its presence in Europe, the Middle East and beyond.

Skeyetech drones can autonomously launch and operate without onsite pilots. They are designed to perform crucial security functions such as perimeter surveillance, industrial inspections and radiation detection. Its specialized drone, Skeyetech-DIZI, uniquely addresses autonomous radiation detection at nuclear facilities.

Azur Drones achieved Europe’s first-ever certification for fully autonomous drone flights from France’s civil aviation authority (DGAC) and won the 2021 World Nuclear Exhibition Innovation Award. The startup, which collaborates with major firms like TotalEnergies and Avnir Energy, has completed over 20,000 autonomous missions. To date, Azur Drones has attracted around US$43 million in funding, with its valuation estimated between US$35 and US$53 million.

Wingcopter (Germany): Redefining last-mile drone delivery

The Wingcopter 198 drone

Image by Wingcopter

Wingcopter, founded in 2017 by Tom Plümmer, Jonathan Hesselbarth and Ansgar Kadura, is headquartered in Weiterstadt, Germany. With a focus on sustainability, the company aims to transform logistics globally through innovative drone technologies. It is expanding its operations globally while maintaining a strong presence in Europe. 

The Wingcopter 198, their flagship drone, uses advanced tilt-rotor technology combined with detect-and-avoid systems. Capable of delivering three separate packages per flight, it efficiently navigates challenging weather conditions, flying at speeds up to 93 mp/h (150 km/h) and covering distances of 47 miles (75 km) loaded with up to 13 lb (0.45 kg) of cargo. A single operator can manage up to ten drones simultaneously, demonstrating their efficiency and scalability. 

Wingcopter holds a Guinness World Record for drone speed and collaborates with global humanitarian organizations like UPS and UNICEF for critical vaccine deliveries. Backed by prominent investors including the European Investment Bank, the startup has raised about US$110 million. Though its precise valuation remains undisclosed, industry analysts estimate the latest investment (US$44 million in 2023) doubled the startup’s valuation.

Dronamics (UK): Leading cargo transport with middle-mile drone delivery

Image by Dronamics

Founded in 2014 by brothers Svilen and Konstantin Rangelov, Dronamics operates from Sofia, Bulgaria, with a significant presence in London. The startup’s mission is to democratize cargo aviation by making affordable same-day deliveries accessible worldwide.

Dronamics’ signature drone, the Black Swan, is designed for middle-mile logistics, capable of carrying loads up to 770 lb (350 kg) across distances reaching 1,550 miles (2,500 kilometers). It seamlessly connects warehouses and logistics centers, significantly reducing delivery costs compared to traditional air cargo.

Dronamics has secured Europe’s first cargo drone airline license (LUC) and won the International Air Transport Association’s Drone Innovation Award. The startup maintains strategic partnerships with logistics giants Hellmann Worldwide Logistics and DHL, along with numerous European airports to streamline cargo operations. With approximately US$58 million in funding raised, Dronamics’s valuation is estimated to be around US$200 million.

Conclusion

These six pioneering drone startups highlight the exciting potential of drone technology in diverse areas such as healthcare, logistics, industrial safety and urban mobility. Their innovative solutions not only push the limits of what drones can achieve but also enhance safety, efficiency and access to essential services worldwide. 

As drones continue to become an essential part of modern industries, these startups showcase the value of creativity and collaboration in driving progress. For businesses and enthusiasts alike, following these developments can provide valuable insights into emerging trends, regulatory shifts and exciting new opportunities in the ever-evolving world of drone technology.

Also read:

• What Can Drones Be Used For, and Do They Have a Future?
• Drones Are Now Essential to Public Safety Operations
• How 21st Century Tech Is Saving More Lives in Natural Disasters

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Drones, robots and big deals—Hong Kong’s InnoEX 2025 had it all.

The 3rd InnoEX and the 21st HKTDC Hong Kong Electronics Fair (Spring Edition) concluded on April 16, 2025, attracting around 88,000 buyers from 148 countries. Co-organized by Hong Kong’s Innovation, Technology and Industry Bureau and the Hong Kong Trade Development Council (HKTDC), these events underscored Hong Kong’s vital role as a global innovation and technology hub, connecting Mainland China with international markets.

Spotlight on key tech innovations

InnoEX 2025 prominently featured breakthroughs in five main technology areas: drones and the low-altitude economy, artificial intelligence (AI), robotics, cybersecurity and smart mobility. The low-altitude economy zone, in particular, was a major attraction, presenting drones and electric vertical take-off and landing (eVTOL) aircraft. This sector drew significant attention from buyers interested in practical and innovative applications.

One standout exhibitor, Vertaxi, showcased its eVTOL aircraft and connected with about 30 potential buyers from ASEAN, Canada, Europe, India, the UAE and Hong Kong. Through these engagements, Vertaxi identified numerous market opportunities, including applications in tourism in Thailand and urban mobility solutions in the Middle East, illustrating the global reach and business potential of the event.

The Low-altitude Economy zone presented drone and aircraft solutions from various companies, attracting many potential buyers.

Image by HKTDC

Bridging international markets

This year’s exhibitions attracted a diverse and dynamic audience of international buyers from Mainland China, India, Japan, Korea and Taiwan, alongside numerous local participants. According to HKTDC’s surveys, more than half of the attendees expressed interest in expanding into markets such as ASEAN countries, Mainland China and the Middle East. This diversity highlighted Hong Kong’s strategic position as a crucial connector between East and West, fostering international partnerships and market expansion.

Smart solutions from Hong Kong and beyond

Central to InnoEX was the Smart Hong Kong Pavilion, curated by the Digital Policy Office. The pavilion displayed over 100 practical technology innovations from 20 government departments, demonstrating how Hong Kong leverages technology to address everyday challenges and enhance the quality of life of its citizens.

The event also hosted 17 pavilions from 16 provinces and municipalities from Mainland China, along with international showcases from Canada, the United Kingdom, France and Australia’s Smart Cities Council. It also brought together an impressive mix of industry leaders, such as China Mobile Hong Kong, Huawei and IBM, along with innovative tech solutions from academic institutions, creating a vibrant tech ecosystem.

Facilitating real business opportunities and partnerships

InnoEX 2025 and the Spring Electronics Fair provided valuable platforms for establishing meaningful business connections and exploring new market opportunities. Australian company Spacious Property Development Group sought innovative technologies to reduce hotel operating costs, discovering effective solutions such as automated delivery and cleaning robots and vending machines. Angela Liang, Managing Director at Spacious, praised the event’s efficacy in introducing these innovations to Australia amidst changing global trade dynamics.

Image by HKTDC

Significant business deals were also secured during the events. Digital Pilipinas from the Philippines partnered with UK-based Unifi.id to introduce smart card systems to the Philippines. Additionally, Xi’an Meinan Biotechnology and Hong Kong’s H & Y Building Decoration Electrical Engineering collaborated to deploy sustainable waterproof mortar technology for construction projects.

Product launches at the Electronics Fair

The Electronics Fair has always been a hub for launching innovative products to global markets. Guangzhou’s Havit Technology captured attention with its hat featuring built-in headphones using air conduction technology, combining functionality and style to meet modern consumer demands. Qingdao’s Thunderobot Technology debuted its smart glasses internationally, marking a step into new markets.

Image by HKTDC

Shenzhen Antop Technology showcased air purifiers specifically designed for pet owners, attracting considerable interest from South American buyers and initiating discussions on deals worth approximately US$2.5 million. Additionally, Hong Kong’s CYBERMED negotiated with buyers from Mainland China and the Middle East, averaging US$200,000 per order. DeWalt Mobile Solutions from the US planned purchases of up to US$1 million, highlighting the event’s effectiveness for high-value business negotiations.

Conclusion: A premier platform for innovation and growth

Once again, InnoEX and the Electronics Fair (Spring Edition) demonstrated their essential roles as premier global platforms for innovation, technology exchange and international business partnerships. Exhibitors and buyers alike were optimistic about future market growth and collaboration opportunities.

With clear evidence of successful product launches, strategic partnerships and market expansions, Hong Kong has reinforced its critical role in the global tech landscape, connecting businesses across borders and driving technological advancement.

Also read:

• 3 Trailblazers of Innovation at HKTDC Electronics Fair (Spring Edition) 2025
• HKTDC Electronics Fair (Spring Edition) 2025: Three Startups You Can’t Miss
• HKTDC Hong Kong Electronics Fair 2024 Concludes with Success: A Recap of Key Highlights

Header Image by HKTDC

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Crypto rebounds—welcome to the comeback tour.

After a prolonged crypto winter following the COVID-19 pandemic, Bitcoin surged above US$100,000 by December 2024. This milestone signals a clear recovery for the cryptocurrency market. Major financial institutions like BlackRock and BNY Mellon integrating Bitcoin into their offerings have added credibility to this growth. Experts like Standard Chartered predict Bitcoin could even reach US$200,000 by the end of 2025. But how realistic are these predictions, and what’s driving this recovery?

In this article, we’ll explore the current state of crypto markets, examine trends in institutional adoption and look at regulatory and technological developments shaping the market through 2025.

Bitcoin’s price surge in 2024-2025: Volatile yet positive

Since late 2024, the crypto market has witnessed substantial changes. Bitcoin first broke the US$70,000 mark in March 2024. After briefly correcting mid-year, it climbed steadily again, eventually surpassing US$100,000 by December. This rapid growth primarily resulted from greater institutional confidence, clearer regulatory signals and the positive impact of Bitcoin’s April 2024 “halving” event—when new Bitcoin supply is cut in half.

However, the ride hasn’t been smooth. Early 2025 saw another sharp correction, with Bitcoin dropping nearly 30%, hitting around US$74,000 in April before recovering to the US$90,000 range by May. Despite this volatility, Bitcoin has maintained an overall upward trend, reinforcing the belief that the crypto market is recovering.

How Bitcoin spot ETFs changed the game

The approval of 11 Bitcoin spot ETFs by the U.S. Securities and Exchange Commission (SEC) in January 2024 was a critical turning point. Spot Bitcoin ETFs allow everyday investors easy access to Bitcoin through their regular investment accounts, eliminating the complexity of direct crypto ownership.

Institutions like BlackRock quickly jumped in, attracting billions in investments. By March 2024, ETFs had already attracted around US$31 billion in new capital. By year’s end, this had grown to approximately US$111 billion. The ease of access provided by these ETFs significantly boosted investor confidence and played a central role in the market’s recovery.

Institutions are embracing cryptocurrency

Institutional investors, including hedge funds, banks and asset managers, are now heavily involved in the crypto market. Recent surveys show about 86% of institutional investors either already hold crypto or plan to by the end of 2025. Many institutions allocate 1% to 5% of their portfolios to digital assets, primarily Bitcoin and Ethereum, with some diversifying into smaller cryptocurrencies.

Corporate adoption also remains strong. MicroStrategy remains the largest corporate holder of Bitcoin, owning roughly 555,450 BTC. Other notable companies like Tesla and Block also hold significant amounts—11,509 and 8,450, respectively. The increased corporate confidence in crypto is a strong indicator of the market’s growing maturity.

Global regulatory clarity boosts confidence

Clearer regulations have significantly boosted market confidence. In Europe, the Markets in Crypto-Assets (MiCA) framework went fully live by December 2024, offering consistent and comprehensive regulations across all EU member states. This has provided much-needed clarity and encouraged crypto businesses to expand in Europe. 

Meanwhile, in the United States, the regulatory environment is steadily improving. In early 2025, President Donald Trump signed an Executive Order to create a Presidential Working Group on Digital Asset Markets. The order aims to provide clear guidelines for cryptocurrencies and even establish a Strategic Bitcoin Reserve using seized crypto assets. Additionally, controversial rules such as the SEC’s SAB 121, which previously complicated crypto custody for banks, are being reviewed for repeal, further easing institutional engagement.

Technological advances powering crypto recovery

New technology developments, particularly Layer 2 scaling solutions and decentralized finance (DeFi), are essential drivers of crypto’s recovery. These innovations address longstanding blockchain issues like high transaction fees and slow speeds, improving usability and accessibility.

Layer 2 scaling solutions

Layer 2 solutions operate alongside main blockchain networks, notably Ethereum, handling transactions more efficiently off-chain. By April 2025, more than 13 million unique addresses were regularly using Ethereum’s Layer 2 networks, such as Optimism and Arbitrum, reflecting significant adoption.

These solutions lower costs dramatically, speed up transaction times and reduce congestion on main networks. Coinbase’s Base network, launched in 2024, quickly became one of the largest Layer 2 solutions, significantly boosting the broader crypto ecosystem.

Decentralized finance (DeFi) rebound

After suffering severe setbacks in the previous bear market, the DeFi sector experienced a strong recovery in 2024. Total Value Locked (TVL)—a key measure of DeFi growth—increased dramatically, reaching nearly US$140 billion by the end of the year. This marked a 160% increase from early 2024, driven by new user-friendly platforms and enhanced scalability thanks to Layer 2 solutions.

Moreover, major DeFi protocols like Uniswap, Aave and Compound rolled out upgrades in 2024 to improve efficiency and user experience, which likely helped attract users back. The emergence of new DeFi primitives (e.g. liquid staking derivatives, decentralized stablecoins like Maker’s DAI and newer ones like Ethena’s USDe, which reached a US$5.9 billion market cap) also contributed to renewed interest. Notably, real-world asset (RWA) tokenization in DeFi grew: By 2025, over US$7.3 billion was locked in RWA protocols (government bond-backed tokens, etc.), an over 200% increase from a year prior, showing DeFi expanding into traditional finance territory.

Stablecoins transform cross-border payments

Stablecoins, cryptocurrencies pegged to stable assets like the US dollar, have seen massive growth, becoming widely adopted for cross-border transactions. In 2024 alone, stablecoins processed about US$32 trillion in transactions globally, with approximately US$6 trillion specifically used for cross-border transfers. Users in developing countries, particularly in Latin America and Africa, increasingly use stablecoins due to their lower costs and faster transfer speeds compared to traditional banking methods.

Payment giants such as Visa, Mastercard and PayPal have integrated stablecoins into their payment networks, further legitimizing cryptocurrencies as practical payment tools.

Real-world crypto adoption 

Real-world adoption has steadily grown alongside institutional investments and technological improvements. By early 2025, approximately 7.5% of the global population actively used cryptocurrencies, a significant increase from previous years. Merchant adoption remains modest yet growing, with around 15,174 global merchants accepting cryptocurrency payments, including major names such as Microsoft, Tesla, AT&T, Starbucks, Shopify and PayPal.

Studies suggest consumer interest is also growing significantly, with more than half crypto holders eager to use digital currencies for everyday transactions. Businesses accepting crypto payments report up to 40% more new customers and double the average order value compared to credit card users.

Meanwhile, countries like El Salvador (where Bitcoin is a legal tender) and emerging economies continue to drive adoption, leveraging Bitcoin and stablecoins as alternatives to unstable national currencies.

Evaluating market predictions: Can Bitcoin reach US$200,000?

Predicting Bitcoin’s price is inherently uncertain, but many credible experts believe it can rise significantly. Standard Chartered’s US$200,000 prediction is ambitious but not impossible, especially considering historical growth patterns after previous halvings. Other analysts suggest more conservative peaks ranging from US$120,000 to US$170,000 by the end of 2025.

These forecasts depend heavily on favorable conditions continuing—like sustained institutional demand, regulatory clarity and stable macroeconomic conditions. Risks remain, including possible regulatory setbacks and macroeconomic instability, which investors should carefully consider.

Conclusion

In short, it’s clear that 2025 is shaping up as a promising year. Increased institutional involvement, clearer regulations, technological advancements and greater real-world adoption all signal a genuine recovery. While exciting price forecasts, like Bitcoin reaching US$200,000, remain speculative, the overall outlook is undeniably positive. Stay informed, keep an eye on market developments and remember to balance your optimism with careful risk management.

Also read:

• Is Reliance’s JioCoin the Next Big Thing in Crypto Rewards or Just a Marketing Hype?
• Enhancing Automated Crypto Trading with DCA Bots
• Best 5 Beginner-Friendly Software Crypto Wallets of 2024

Header Image by Unsplash

The post Bitcoin Breaks US$100,000—Is the Crypto Winter Finally Over in 2025? appeared first on Jumpstart Magazine.

Dumb phones are the way to cut the clutter and go back to basics.

In an era dominated by high-tech smartphones, there’s a surprising trend making waves—basic mobile phones, often called “dumb phones”, are gaining popularity again. According to a 2023 report by Counterpoint Research, this comeback is mainly driven by younger users—primarily Gen Z and millennials. But what exactly are dumb phones, and why are they becoming trendy again?

What are dumb phones?

Dumb phones are simple mobile phones that focus on essential functions like calling and texting. Unlike smartphones, they don’t typically have social media apps, advanced cameras, gaming capabilities or extensive internet browsing options. Instead, their simplicity addresses modern issues like digital overload, privacy, affordability and battery life.

So, let’s explore the five key reasons behind the continued popularity of dumb phones in 2025.

1. Minimalist features mean fewer distractions

Smartphone overuse has sparked a global mental health conversation. Constant notifications, endless scrolling and apps designed to trigger the fear of missing out (FOMO) can contribute to anxiety, depression, impaired productivity and mental exhaustion. Dumb phones cut out these distractions entirely.

Take the Light Phone II, for instance. It includes only basic features such as calls, texts, alarms and limited hotspot capabilities—no social media, games or email. Users often choose the Light Phone to intentionally reduce screen time and avoid digital distractions. This move aligns with the digital minimalism movement, which encourages people to use technology more consciously. In 2024, the “dopamine detox” became especially popular among young adults seeking healthier relationships with technology.

2. Longer battery life: Less charging, more freedom

Smartphones generally require daily charging because of their high-resolution screens, constant internet connection and numerous applications. Dumb phones, on the other hand, boast impressive battery longevity.

For example, the Nokia 105, known for its exceptional battery life, lasts up to 18 days on standby with a single charge. This makes it ideal for travelers, outdoor enthusiasts and anyone prioritizing reliability and energy efficiency over continuous connectivity. For consumers concerned with sustainability and energy conservation, dumb phones present a more environmentally friendly alternative due to their low power consumption.

Image from hmd.com

3. Affordability makes dumb phones attractive

Another key factor fueling the resurgence of dumb phones is their affordability. While flagship smartphones regularly cost more than US$1,000, entry-level dumb phones can start as low as US$20. Mid-range dumb phones, offering slightly advanced features like basic cameras or limited internet access, range between US$50 and US$150.

Additionally, dumb phones typically work well with affordable prepaid plans, costing as little as US$10 per month. This cost-effective option is especially appealing to seniors, students and low-income users. As global economic uncertainty persists, particularly noticeable since 2024, budget-conscious consumers find dumb phones increasingly appealing.

4. Enhanced privacy and security

Smartphones frequently come under scrutiny for data collection, location tracking and invasive app permissions. Growing concerns around surveillance, especially post-pandemic, have increased demand for privacy-focused devices. Dumb phones naturally mitigate these privacy issues by lacking extensive app ecosystems and limiting internet connectivity.

Certain advanced dumb phone models, like the Punkt MP02, enhance privacy further. The MP02 provides basic functionality with secure, encrypted calls and texts through the Signal protocol. Although it supports 4G LTE connectivity for tethering, it deliberately excludes apps like WhatsApp and social media. This design makes it an ideal choice for privacy-conscious users looking for essential connectivity without compromising personal data security.

Image from punkt.ch 

5. Simpler communication: Only calls and texts

The modern smartphone fragments communication across various platforms—WhatsApp, Slack, Messenger and others—leading to multitasking stress. Dumb phones simplify communication by providing only essential functions like voice calls and text messages.

Families, in particular, increasingly choose dumb phones for their children to limit screen time while ensuring basic connectivity. Adults also appreciate the simplicity and nostalgia of straightforward, distraction-free communication. In a world increasingly influenced by generative AI, digital clutter and hyperconnectivity, dumb phones offer a refreshing return to simplicity.

Looking ahead: The rise of hybrid phone usage

In conclusion, dumb phones are more than nostalgic relics. They are powerful tools for intentional living in a hyperconnected age. By tackling modern issues such as digital distraction, privacy concerns, affordability and environmental sustainability, these minimalist devices empower users to regain control of their digital lives. 

As the dumb phone trend continues, it’s possible we’ll see more users adopting a hybrid approach—carrying both a smartphone for advanced functionalities and a dumb phone for focused, distraction-free moments. This combination offers users the best of both worlds, enabling more deliberate management of their digital interactions.

Also read:

• Is Your Phone Spying on You? How to Detect and Stop Spy Apps
• The Rise of Dumb Phones and Top Picks to Simplify Your Life

Header Image from Freepik

The post Why Dumb Phones Are Making a Surprising Comeback in 2025 appeared first on Jumpstart Magazine.

These smartwatches help kids stay active, connected and safe—all at once!

Smartwatches for kids have become essential devices in 2025, providing parents with peace of mind and children with an engaging blend of safety, connectivity and entertainment. Today’s smartwatches for children come equipped with features such as GPS tracking, SOS emergency buttons, parental controls and fitness tracking. Whether your child needs precise location tracking, reliable two-way communication or motivational fitness activities, there’s a smartwatch perfectly tailored for them. 

Here’s an in-depth look at the top five best smartwatches for kids in 2025, selected for their strong safety measures, durability and engaging features.

Verizon GizmoWatch 3

Image by Verizon

The Verizon GizmoWatch 3 puts safety first, making it an ideal choice for concerned parents. It features real-time GPS tracking, which means parents can quickly see their child’s location through the GizmoHub app anytime. The watch has impressive battery life, lasting up to 3.7 days on standby, reducing the need for constant charging.

Kids can make clear voice and video calls using the 5 MP camera, but only to the 20 contacts that parents approve. If there’s ever trouble, a dedicated SOS button immediately notifies parents. Additional engaging features, such as step tracking, fun games and customizable watch faces, make the GizmoWatch 3 enjoyable for children and reassuring for parents. Moreover, its IP68-rated water-resistant design means it’s durable enough for daily adventures. Available for US$149.99, it requires a Verizon service plan at US$10 per month, on top of a one-time activation fee of US$35.

TickTalk 5

Image by TickTalk

The TickTalk 5 is specially designed for kids and stands out for its advanced GPS tracking, enhanced with AI for accurate indoor and outdoor positioning. It makes communicating easy with voice and video calls, plus fun messaging options like greeting cards and GIFs in secure group chats.

In emergencies, pressing the SOS button immediately alerts designated contacts. Parents can add up to 53 trusted contacts and block unknown numbers to keep communication secure. It also includes music streaming, fitness tracking and helpful reminders. With up to 100 hours of battery life on standby and IP67 water resistance (handling short submersion and dust), the TickTalk 5 can handle kids’ active lifestyles. It retails at US$159.99, with monthly service plan options ranging from US$9.99 to US$19.99, without any activation fee.

Fitbit Ace LTE

Image by Fitbit

Fitbit Ace LTE is great for active kids, combining fitness tracking with smart connectivity in a fun, user-friendly design. Kids will enjoy tracking their steps, active minutes and heart rate, motivated by interactive features like avatars and achievement badges.

The watch has GPS tracking and a handy School Time mode, which lets parents set limits during school hours to encourage concentration. With an Ace Pass subscription, kids can call and message safely, making it a solid choice for older kids needing independence and safety. The Ace LTE costs US$179.99, and the Ace Pass subscription is an additional US$9.99 per month, with no activation fee required.

Apple Watch SE 40 mm (GPS + Cellular)

Image by Apple

For parents wanting a premium experience, the Apple Watch SE 40 mm (GPS + Cellular) is hard to beat. Kids can stay connected without needing their own phone, thanks to the built-in cellular capabilities. Precise GPS tracking, heart rate monitoring, sleep tracking and an Emergency SOS feature provide comprehensive safety measures, including automatic alerts in case of falls.

Using Apple’s Family Setup, parents have control over apps, communication and screen time, ensuring a safe experience. Kids can explore a vast range of apps and music streaming options from Apple’s extensive ecosystem. Designed to be swim-proof and robust, the Apple Watch SE is perfect for active kids. It retails for US$299, requires a monthly service fee of approximately US$10 to US$15 (depending on the carrier), and typically includes an activation fee ranging from US$30 to US$35.

Gabb Watch 3e

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Image by Gabb

The Gabb Watch 3e is ideal for younger children, offering essential features in an easy-to-use package. It allows secure communication with up to 100 pre-approved contacts. The watch includes GPS tracking and customizable Safe Zones that alert you when your child enters or leaves designated areas.

Kids can call or send voice messages to contacts you approve, and an SOS button provides immediate emergency alerts. The unique Gabb Go feature encourages physical activity by turning steps and chores into an interactive game, including caring for a virtual pet. Durable and user-friendly, the Gabb Watch 3e is priced at US$149.99. It requires a monthly Gabb Wireless service fee between US$12.99 and US$17.99, plus a one-time activation fee of US$30.

Choosing the right smartwatch for your child

The best smartwatch depends on your child’s age, activity levels and your priorities for safety. For strong GPS tracking and parental control, the Verizon GizmoWatch 3 and TickTalk 5 are great choices. Active kids will appreciate Fitbit Ace LTE’s fitness tracking and engaging games. For premium features and broader app access, the Apple Watch SE (GPS + Cellular) is ideal. The Gabb Watch 3e is perfect if you’re looking for something budget-friendly yet safety-focused for younger children.

Kids’ smartwatches today go beyond basic communication, seamlessly integrating safety, health and entertainment into their daily lives. Whichever smartwatch you choose, it can foster independence and fun for your child while providing you with invaluable reassurance.

Also read:

• 6 Healthy Products for Kids in 2020
• 5 Essential Smart Gadgets Every New Parent Should Have in 2024
• 4 Budget-Friendly Smartwatches for 2023

Header Image by Writesonic

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Artificial intelligence (AI) is no longer a futuristic concept. It’s here, and it’s already transforming how we live and work. According to the International Monetary Fund, AI could impact nearly 40% of jobs worldwide, making it one of the most significant disruptors of the modern labor market. But this disruption isn’t all doom and gloom. AI is also creating new opportunities, redefining productivity and pushing industries toward a more efficient and innovative future. The key lies in how businesses, governments and individuals respond.

In this article, we’ll look at AI’s significant impact on global employment and shed light on how you can leverage AI’s potential positively to navigate the evolving job landscape successfully.

The rise of AI adoption across industries

In 2025, AI adoption hit an all-time high. According to McKinsey, 72% of companies globally reported using AI in at least one business function, up from just 55% the year before. Some sectors are further along than others, with the tech industry leading the pack. In manufacturing, AI is being used to optimize production, manage inventory and improve customer service, with over 77% of firms reporting AI deployment. Healthcare, long considered a slow adopter, has seen a dramatic rise—66% of physicians now use AI tools, more than double from the previous year. Even education and logistics are catching up, using AI for personalized learning and supply chain forecasting.

The most common functions where AI shows up include marketing, product development and IT. In fact, the use of generative AI in marketing and sales more than doubled in 2024 alone. Tools like ChatGPT and Copilot are being embedded into workflows to speed up content creation, analyze customer data and streamline repetitive tasks.

Image from McKinsey

AI’s impact on jobs: What we lose and what we gain

The growing use of AI raises understandable concerns. According to the World Economic Forum, 45% of workers fear AI could replace their jobs. And they’re not wrong to worry: roles in data entry, routine customer support and basic content creation are already being phased out or heavily automated. In fact, over 7.5 million data entry jobs are expected to disappear by 2027.

However, this is only half the story. AI isn’t just taking jobs—it’s creating them too. McKinsey and the WEF project that 92 million jobs will be displaced by 2030, but an even greater number, around 170 million, will be created. These new roles include AI specialists, machine learning engineers, data scientists and even emerging jobs like prompt engineers and AI ethics officers. There’s also a growing demand for hybrid roles that blend AI with industry expertise, such as healthcare analysts who understand AI diagnostics and marketers who can leverage generative tools.

A global shift: Regional gaps and innovation hotspots

AI isn’t spreading evenly across the world. In advanced economies, roughly 60% of jobs are exposed to AI. In contrast, emerging markets see about 40% exposure, and low-income countries, just 26%. This “AI divide” reflects gaps in infrastructure, investment and access to skilled talent.

Cities like San Francisco, New York and Beijing are leading the AI revolution. The Bay Area alone is home to over 4,000 AI companies and boasts the highest innovation score globally. New York recently overtook Beijing as the second-largest hub for AI startups, thanks to its diverse economy and access to top universities. Beijing, heavily backed by China’s national strategy, continues to lead in research output and speech and vision recognition technologies.

But it’s not just the big players. Singapore, with its “SkillsFuture” initiative, is training hundreds of thousands of citizens in digital and AI skills. Meanwhile, countries like India are ramping up national programs to democratize AI education and training.

Skills gaps and the race to reskill

Despite the surge in AI adoption, companies are struggling to find qualified workers. Red Hat reports that 81% of UK IT managers believe there’s a significant skills gap in areas like data science, large language models and AI integration. Globally, the shortfall is massive. In the U.S. alone, an estimated 700,000 AI-related positions could remain unfilled unless reskilling efforts ramp up.

What skills are in demand? Technically, roles need proficiency in data analysis, machine learning and cloud computing. But it’s not just about coding. Soft skills like analytical thinking, creativity and problem-solving are equally important. Companies are increasingly looking for people who can interpret AI outputs and apply them meaningfully in real-world scenarios.

And the gap isn’t just technical—it’s demographic, too. Only 29% of AI-skilled workers globally are women, and older workers are significantly less likely to receive AI training. Gen Z workers are more likely to be exposed to AI tools early in their careers, creating generational imbalances that inclusive upskilling programs must address.

How companies and governments are responding

Forward-thinking organizations are not just acknowledging the skills gap—they’re doing something about it. In 2018, AT&T invested US$1 billion to retrain nearly half its workforce for advanced tech roles. IKEA, after introducing an AI chatbot that handled 47% of customer inquiries, reskilled 8,500 support workers into interior design consultants, unlocking US$1.4 billion in additional revenue.

Governments are also stepping in. Singapore’s SkillsFuture gives citizens credits to pursue training in high-demand areas, including AI. France, Finland and India have launched national AI education strategies, aiming to provide accessible learning to their entire populations. Platforms like Coursera and edX have seen massive upticks in AI course enrollments, with courses like “Elements of AI” drawing millions of users worldwide.

Hiring in the AI era: Skills over experience

The job market is changing. According to LinkedIn, AI engineer and AI consultant roles are the fastest-growing in the U.S. Over the past eight years, hiring for AI roles has surged by 323%. But what’s even more interesting is that companies aren’t just looking for deep technical backgrounds anymore.

ResumeBuilder reports that 91% of hiring managers prefer candidates with experience using tools like ChatGPT, even in non-technical roles. Two-thirds of executives say they wouldn’t hire a candidate who lacks AI literacy. Whether you’re in marketing, customer service or operations, knowing how to integrate generative AI into your workflow is becoming as essential as spreadsheet skills.

What individuals can do: Upskilling for the AI future

For those worried about being left behind, there’s good news: upskilling has never been more accessible. Online platforms offer beginner-friendly courses like “AI For Everyone” by Andrew Ng or the “Elements of AI” program created by the University of Helsinki. These programs are free, flexible and designed to help non-tech workers understand and apply AI.

Beyond courses, practical experience with tools like ChatGPT, Midjourney or Microsoft Copilot can go a long way. The more comfortable you are using AI in your day-to-day tasks, the more valuable you become to current and future employers. Even small wins, like automating reports or generating faster email drafts, demonstrate your adaptability.

Finally, don’t underestimate the value of soft skills. AI can process data, but it can’t replace human judgment, empathy or creative thinking. Workers who blend technical fluency with strong interpersonal and strategic abilities will thrive.

Looking ahead

AI is reshaping the global workforce, but the outcome isn’t set in stone. With the right investments in education, inclusive training and a proactive mindset, workers and companies alike can turn disruption into opportunity. Whether you’re a business leader, a policymaker or just someone wondering how to stay relevant, the message is clear: start learning, stay curious and embrace the change.

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AI isn’t just thinking ahead—it’s reshaping everything from your health check-ups to disaster forecasts.

Artificial Intelligence (AI) is no longer just a buzzword—it’s actively reshaping how we live, work and solve the world’s toughest problems. From improving how doctors diagnose diseases to predicting natural disasters days in advance, AI is showing up in powerful and practical ways.

Thanks to machine learning, predictive analytics and advanced algorithms, AI systems can now analyze massive datasets in real time. That means faster decisions, better insights and smarter tools across industries. In this article, let’s explore how AI is driving real impact—from hospitals to manufacturing floors to your smartphone.

Healthcare: How AI is saving lives

AI is transforming healthcare with faster diagnoses, better treatment planning and new ways to develop life-saving drugs. Here’s how:

Early and accurate diagnoses

One standout example is Digital Diagnostics and its LumineticsCore®, the first FDA-cleared autonomous AI diagnostic system. This AI system can detect diabetic retinopathy at the point of care, allowing for timely interventions. As per the company, clinical trials have shown that LumineticsCore® can reduce unnecessary specialist doctor visits by 91% while ensuring that high-risk patients get the attention they need.

Meanwhile, Harvard Medical School’s CHIEF model achieved an accuracy as high as 96% in detecting multiple types of cancer. This enables tailored and timely interventions based on tumor microenvironments.

Smarter hospital operations

Hospitals are using AI to predict which patients are most likely to need urgent care or readmission. These predictive models help staff prioritize high-risk patients early and allocate beds and resources more effectively. For instance, some AI systems have reduced hospital readmission rates by up to 30% and flag potential complications through patient data analysis.

Faster drug discovery

Companies like BenevolentAI are using machine learning to scan through chemical data and identify promising new drugs. During the pandemic, BenevolentAI identified a treatment candidate for COVID-19 in record time. Meanwhile, Google’s AlphaFold solved the protein folding problem—a 50-year mystery that could supercharge how we understand and treat diseases.

Business: Making smarter, faster, cheaper decisions

Across industries, AI is helping businesses work more efficiently and serve customers better. Here are a few areas where it’s making a real difference:

Fighting fraud in finance

Financial institutions are increasingly turning to AI to combat sophisticated fraud schemes. AI systems can analyze vast datasets in real-time, identifying anomalies that may indicate fraudulent activities.

For instance, ThetaRay, an Israeli fintech company, offers AI-powered anti-money laundering (AML) solutions that monitor transactions to detect suspicious activities. Its platform has been adopted by global banks like Banco Santander to enhance their fraud detection capabilities.

Similarly, American Express and MasterCard utilize machine learning models to scrutinize transaction data, effectively identifying unusual patterns that could signify fraud. This helps provide real-time alerts and minimize billions of dollars in financial losses.

Predicting equipment failures

AI-powered predictive maintenance helps companies spot issues before breakdowns happen—saving time, money and headaches. Some companies that are using AI for this task include:

• Siemens cut unplanned downtime by 50% using AI to monitor equipment health in real time.
• GE Aerospace uses AI to track more than 44,000 jet engines, predicting issues 60% earlier than traditional methods and reducing disruptions.
• Ford combines AI with digital twins to catch early signs of failure on factory floors, boosting efficiency.

Customer service with virtual assistants

AI-driven virtual assistants are revolutionizing customer service by providing instant, accurate responses to customer inquiries. These systems can handle a multitude of tasks, from answering frequently asked questions to processing transactions.

Klarna, a Swedish fintech company, has implemented an AI chatbot developed in collaboration with OpenAI. This chatbot manages two-thirds of customer service inquiries, effectively performing the work of 700 full-time agents. In its first month, it engaged in 2.3 million conversations, significantly improving efficiency and customer satisfaction.

Another example is HubSpot’s Breeze AI Agents, a suite of AI-driven tools designed to support small businesses, launched this month. These agents enhance customer interactions by learning from structured and unstructured data, thereby improving response times and customer engagement.​

Everyday AI: Tools you already use

AI is baked into lots of tools you probably use every day—even if you don’t realize it.

Google Lens: Search by sight

Snap a photo of an outfit, a plant or a restaurant sign—Google Lens will identify it and show you where to buy it, what it is or where to go. This visual search tool processes over 12 billion queries every month.

Spam filters that actually work

Gmail’s AI blocks over 99.9% of spam, phishing and malware emails. It analyzes how spam behaves, not just keywords, making it far more effective than old-school filters.

Voice assistants

Voice assistants like Siri, Alexa and Google Assistant have become integral to modern technology, enabling users to interact with devices through natural language. These assistants are powered by advanced AI algorithms that process and understand human speech. 

Predicting fashion trends

Retailers use AI to scan social media posts and online photos to forecast what styles will trend next. Companies like Heuritech analyze millions of Instagram photos daily, helping brands create products that actually match what people want.

Solving global challenges: AI for the greater good

AI isn’t just about business efficiency. It’s also tackling massive, high-stakes problems—from natural disasters to climate change.

Predicting natural disasters

AI is helping scientists predict floods, typhoons and even earthquakes with increasing accuracy:

• Floods: Google’s AI model now provides flood warnings up to seven days in advance across 80 countries, serving over 460 million people.
• Typhoons: Taiwan’s AI weather systems improved storm path prediction by 20%, giving emergency teams critical lead time.
• Earthquakes: In one study, an AI model predicted 14 quakes with up to 70% accuracy, within 320 km of the actual location, one week in advance.

Fighting climate change 

AI is helping big tech cut their carbon footprints. Google, for example, used AI to slash data center cooling energy by 40%. In smart buildings, AI systems adjust lighting, heating and cooling based on occupancy and weather conditions, leading to energy savings of up to 30%. These intelligent systems contribute significantly to reducing the carbon footprint of urban infrastructure.

AI in search and rescue

Drones equipped with AI assist rescue teams by scanning disaster zones for survivors more efficiently. These autonomous systems utilize AI to analyze terrain, detect human presence and make real-time decisions during disaster response. By processing data from various sensors, AI enables drones to cover large areas quickly, increasing the chances of finding survivors in critical situations.

For example, during natural disasters like earthquakes and hurricanes, AI-equipped drones can assess damage, identify safe pathways and deliver essential supplies to inaccessible areas, thereby enhancing the effectiveness of rescue missions.

Emerging technologies: Where AI is heading

As technology evolves, AI continues to push boundaries in cutting-edge fields:

Autonomous vehicles

Tesla’s Full Self-Driving (FSD) system relies entirely on AI. Instead of using radar or lidar, Tesla’s cars use eight cameras and neural networks to recognize roads, signs and obstacles. All the data from Tesla’s global fleet helps improve these models over time. While Tesla vehicles still require driver supervision, the system represents a major leap in AI-driven mobility.

AI in IoT (Internet of Things)

AI is what makes smart homes truly smart. The integration of AI with the Internet of Things (IoT) has led to the development of Intelligent IoT (IIoT) systems that enhance automation and decision-making across various sectors. 

• Advanced data analysis: AI, particularly machine learning, processes vast amounts of sensor data to identify patterns and anomalies, facilitating predictive maintenance and reducing unplanned downtime.
• Operational efficiency: By automating decision-making processes, AI helps optimize operations, leading to increased efficiency and cost savings.​
• Enhanced risk management: AI-driven insights allow for proactive risk assessment and management, improving overall safety and reliability.

The bottom line: AI is here to stay—and grow

According to PwC, AI could add US$15.7 trillion to the global economy by 2030. Whether it’s diagnosing cancer, spotting fraud or predicting typhoons, the technology is already proving its worth. The challenge now is making sure we use it responsibly—to help more people, solve bigger problems and create a future that’s not just smarter, but fairer and more sustainable too.

Also read:

• What Are OpenAIʼs US$20,000 AI Agents and Why Are They So Expensive
• AI in Esports: How Machine Learning is Transforming Anti-Cheat Systems in Esports
• The AI Copyright Debate: Who Really Owns AI-Generated Content?

Header image by Unsplash

The post 15 Real-World Examples of AI Solving Complex Problems Across Industries Today appeared first on Jumpstart Magazine.

How Japan’s unicorn startups are proving tech innovation isn’t just a Silicon Valley thing.

Japan, traditionally known for its large corporations and cautious business environment, is experiencing an exciting transformation. Today, the nation is home to an increasing number of dynamic startups known as “unicorns”—companies valued at over US$1 billion. To foster and accelerate this trend, the Japanese government introduced the Startup Development Five-Year Plan in 2022, pledging a substantial investment of JPY10 trillion (approximately US$70 billion). This ambitious plan aims to create 100 unicorns and 100,000 startups by 2027, positioning Japan as a major hub for startup innovation in Asia.

In this article, we highlight six remarkable unicorn startups significantly transforming technology, finance, biotechnology and artificial intelligence (AI) sectors, each contributing uniquely to Japan’s evolving business landscape.

SmartNews: Personalized news at your fingertips

Image from SmartNews 

SmartNews was founded in Tokyo in 2012 by entrepreneurs Ken Suzuki and Kaisei Hamamoto, offering a cutting-edge free news aggregation app driven by AI. Unlike traditional news apps, SmartNews leverages advanced machine learning algorithms to analyze more than ten million articles daily and to deliver personalized news feeds to each user’s interests. 

SmartNews gained unicorn status in 2019 after raising US$92 million in a Series E funding, achieving a valuation of approximately US$1.2 billion. In 2021, another significant investment of US$230 million further boosted the company’s value to over US$2 billion. The company has also been maintaining strategic collaborations with world-renowned news providers, such as Reuters, BBC and CNN, to enhance its reliability and appeal. Currently, SmartNews boasts more than 20 million active users, predominantly in Japan and the U.S., continually innovating to maintain a balanced, engaging and personalized news experience.

SmartHR: Digitizing the HR landscape

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Established in 2013 by Kensuke Naito and Shoji Miyata, SmartHR is revolutionizing Japan’s traditionally paper-heavy human resources industry through its intuitive, cloud-based platform. SmartHR efficiently digitizes complex HR processes, including employee onboarding, payroll, benefits management and compliance tasks, significantly reducing administrative burdens for businesses.

The startup became a unicorn in 2021 following a Series D funding round that secured approximately US$114 million, with a valuation of US$1.6 billion. In 2024, it raised an additional US$140 million through a Series E round, further reinforcing its market dominance. In February 2024, SmartHR reached over US$100 million in annual recurring revenue (ARR), a decent spike from the US$80 million in total revenue the company reported in FY 2023.

Today, SmartHR serves more than 60,000 businesses across Japan. Its seamless, streamlined approach helps organizations increase productivity, enhance employee satisfaction and reduce operational costs, making it a critical player in the HR technology space.

Sakana AI: Pioneering resource-efficient artificial intelligence

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Launched in July 2023 in Tokyo, Sakana AI addresses a crucial market need: powerful yet resource-efficient artificial intelligence solutions. Among the founders are David Ha, who previously led Google Brain’s research team in Tokyo, and Llion Jones, co-author of the influential Transformers research paper central to modern generative AI.

Sakana AI emphasizes sustainability and efficiency, pioneering “nature-inspired” generative AI models that require minimal computational resources. Its innovative “Evolutionary Model Merging” method, similar to natural selection, has successfully produced efficient AI models, including three open-sourced Japanese language models in March 2024. Mid-2024 saw the introduction of the “AI Scientist”, an automated system capable of autonomously generating academic research papers from conception to peer review.

Within a year of its inception, Sakana AI secured substantial investments—initially attracting US$30 million in seed funding, quickly followed by a massive US$200 million Series A round in September 2024. These investments brought the company’s valuation above US$1.5 billion, backed by renowned investors such as Nvidia, MUFG and NEA, highlighting its role as a significant player in global AI innovation.

Preferred Networks (PFN): Industry 5.0’s deep learning architect

Image from Preferred Networks, Inc.

Founded by AI researchers Toru Nishikawa and Daisuke Okanohara in 2014, Preferred Networks (PFN) connects theoretical AI research to practical applications in industries including manufacturing, transportation, healthcare and robotics. Early investments from industry giants Fanuc (US$7.3 million) and Toyota (US$8.1 million) in 2015 significantly propelled PFN’s growth, providing essential capital, valuable data and testing environments.

In 2015, PFN introduced Chainer, an influential open-source deep learning framework widely adopted across Japan’s AI community. That same year, partnerships with Panasonic, NVIDIA, Microsoft and Intel expanded its technological capabilities. PFN also excels in hardware innovation, developing MN-Core, a specialized AI chip designed for efficient deep learning computations. Its MN-3 supercomputer, powered by MN-Core chips, reached the top position on the Green500 list of energy-efficient supercomputers multiple times in 2020 and 2021, achieving groundbreaking efficiency levels. 

In 2018, PFN achieved unicorn status with a valuation exceeding US$2 billion. Continuing its innovative streak, the company recently expanded into semiconductor development, securing nearly JPY10 billion (US$69 million) from SBI Holdings in 2024. PFN’s dual expertise in software and hardware, including the development of specialized AI chips, uniquely positions it as an integrated leader within the AI and robotics landscape.

OPN: Pioneering digital payments globally

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Originally founded in Bangkok in 2013 by Jun Hasegawa and Ezra Don Harinsut and now headquartered in Tokyo, Opn (formerly Omise and Synqa) provides an extensive digital payments platform. The company simplifies transactions for merchants with solutions including mobile wallets, credit card processing and innovative blockchain-based payments.

In 2022, Opn reached unicorn status after raising US$120 million, pushing its valuation beyond the US$1 billion threshold. Notable investors include MUFG, Toyota and JIC Venture Growth Investments. Its client base comprises major enterprises like Toyota and the Thai duty-free giant King Power, significantly contributing to Asia’s transition to cashless commerce.

Beyond organic growth, Opn strategically expanded internationally by acquiring Atlanta-based payment processor MerchantE for around US$400 million in 2022. Currently, Opn operates in Japan, multiple Southeast Asian countries (Thailand, Singapore, Malaysia, Indonesia, the Philippines and Vietnam) and the United States, reflecting its extensive global reach.

Spiber: Revolutionizing sustainable biotech materials

Image from Spiber Inc

Spiber, founded by Kazuhide Sekiyama and Junichi Sugahara in 2007, leads innovation in biotechnology-derived materials through its proprietary Brewed Protein technology. After extensive R&D, Spiber successfully engineered sustainable fibers resembling spider silk using microbial fermentation, eliminating reliance on animal-derived or petroleum-based materials.

Brewed Protein fibers are sustainable alternatives to traditional textiles like silk and wool. They can even be molded into composites suitable for industrial applications. Global partnerships include collaborations with global brands such as The North Face, Goldwin, Toyota and Shiseido, highlighting the versatility of Spiber’s materials.

In September 2021, Spiber reached unicorn status following a JPY24.4 billion (approximately US$221 million) funding round led by Carlyle, valuing the company at about JPY135 billion (US$1.2 billion). Total funding has surpassed US$650 million as of 2024, supporting expansions into major production facilities in Thailand and Iowa. Expanding its global presence, Spiber also established a Paris office in 2023, aiming to better engage European markets and further solidify its leadership in sustainable biotech materials.

Japan’s startup ecosystem: A bright future ahead

The remarkable successes of SmartNews, SmartHR, Sakana AI, Preferred Networks, Opn and Spiber demonstrate Japan’s significant potential for innovation-driven growth. Supported by robust government initiatives, increased venture capital investment and growing global recognition, these unicorn startups highlight Japan’s exciting transition from conservative business traditions to dynamic entrepreneurship.

Although challenges remain—such as risk aversion, limited funding sources compared to global markets and slower technological adoption—these companies illustrate what’s possible. Continued momentum and supportive policies will likely drive substantial growth, inspiring future entrepreneurs and reinforcing Japan’s status as an innovation powerhouse.

Also read:

• The Role Technologies in Enhancing Japan’s Disaster Resilience
• From Japan to Belgium: How These Countries Are Leading the 4-Day Workweek Movement
• Napping inside a Box Is Japan’s Answer to Workplace Exhaustion

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