The artificial intelligence (AI) chatbot market has experienced an unprecedented “Big Bang” explosion, with an estimated 100 billion web visits to over 10,500 AI tools from August 2024 to July 2025.

A recent comprehensive study, “The AI’ Big Bang’ Study 2025,” reveals that just ten leading AI chatbots have captured a staggering 58.8 per cent of this traffic, collectively drawing 55.88 billion visits within a 12-month period. This signifies a period of rapid consolidation and maturation, transforming AI chatbots from experimental tools into essential digital infrastructure.

For Southeast Asia’s burgeoning tech ecosystem, these global trends offer critical insights into where user attention is consolidating and what strategies drive success in the competitive AI landscape.

ChatGPT maintains unchallenged supremacy

Despite the entry of numerous challengers, ChatGPT remains the undisputed leader, cementing its position as the global default for AI interaction. The OpenAI flagship recorded an unmatched 46.59 billion total web visits from August 2024 to July 2025, demonstrating a robust 106 per cent year-over-year growth.

Also Read: AI is changing work in Singapore — Confidence is the missing link

ChatGPT’s market share is particularly noteworthy, accounting for 48.36 per cent of all AI web traffic among over 10,500 tools as of July 2025. To put this into perspective, the next nine chatbots combined make up only 10.45 per cent of the market. This sustained dominance highlights that ChatGPT is not merely a household name but has become a daily habit for users worldwide.

Grok’s meteoric rise disrupts the market

The most significant surprise of the year comes from Grok, developed by xAI and integrated into X (formerly Twitter). Despite being a late entrant, Grok ascended to the second spot in the weighted rankings, achieving an “astronomical leap” with 686.91 million total web visits. Its growth rate is truly unprecedented: a 1,343,408 per cent year-over-year traffic increase from virtually zero, making it the “fastest-rising star” and the “most significant breakthrough of the past 12 months”.

This explosive momentum is primarily attributed to its platform-native distribution via X and the high-profile backing of Elon Musk, providing instant reach and viral potential that standalone chatbots struggle to match.

Gemini emerges as a formidable challenger

Google DeepMind’s Gemini has steadily climbed to third place, solidifying its position as “ChatGPT’s closest rival”. It logged 1.66 billion total web visits, marking a substantial 156 per cent year-over-year increase. Gemini’s growth trajectory is characterised as “cleanest and steadiest,” mainly due to improved Google integration and user interface enhancements.

With its average monthly visits in the last quarter (May-July 2025) reaching 246.2 million, up by 77.63 per cent from its annual average, Gemini demonstrates “serious competitive intent”. It is methodically building the foundation to challenge for the second position by 2026.

Specialised strengths: Engagement, research, and enterprise

While the top three dominate in scale, other chatbots are carving out strong niches based on specialised strengths:

• Claude: Anthropic’s Claude leads in user engagement, boasting the highest average session duration of 16 minutes and 44 seconds per visit. This “superior engagement depth” signals that users turn to Claude for “thoughtful, extended conversations,” valuing quality over sheer volume. It achieved 1.15 billion visits and a 201 per cent growth rate year-over-year.
• Perplexity: Ranking sixth, Perplexity AI has established itself as the go-to AI chatbot for research-focused answers. It garnered 1.47 billion total web visits with a significant 227 per cent year-over-year growth, attracting users who prioritise “factual, citation-backed answers over conversational fluff”.
• Microsoft Copilot: Positioned seventh, Copilot showcases a different success model driven by enterprise integration. It recorded 957.19 million total web visits and a rapid 348 per cent year-over-year growth, primarily from business users leveraging its seamless integration across Microsoft 365 and Windows platforms. Despite having the shortest average session duration at 9 minutes and 4 seconds, this reflects efficient workplace usage rather than poor engagement, proving that “consistent integration across workflows matters more than lengthy chat sessions” in the B2B space.

The volatility factor: DeepSeek’s cautionary tale

DeepSeek recorded the “most explosive rise” in the study, surging to 2.74 billion total web visits with an unprecedented 48,848 per cent growth rate year-over-year. However, its trajectory highlights the challenge of maintaining viral momentum.

Also Read: Generative AI: The unstoppable force reshaping work and engagement across SEA

After peaking at 520.2 million visits in February 2025, DeepSeek’s web traffic experienced a steady decline, dropping 39.5 per cent over five months to 314.6 million by July. This “dramatic peak-and-valley pattern” serves as a “classic hype cycle,” underscoring that viral attention does not guarantee lasting success.

Media’s role and mobile traction

Media visibility plays a “key driver of traffic,” with the top AI chatbots collectively mentioned in over 7.7 million media articles from August 2024 to July 2025. Surges in press coverage often correlated with spikes in traffic, reinforcing the media’s role in shaping public adoption.

Mobile adoption is also a significant indicator, with these ten chatbots receiving a combined 40.6 million app store reviews across Apple App Store and Google Play, reflecting strong user engagement. Notably, Poe, despite a 46 per cent decline in web traffic year-over-year, maintains relevance through its “surprisingly loyal mobile user base” with 479,100 app store reviews, demonstrating a “web-to-mobile migration” strategy.

Meta AI: Big name, modest impact

Despite the immense resources and platforms (Facebook, Instagram, WhatsApp) of its parent company, Meta AI ranks tenth in the study, exhibiting “modest impact”. It logged 130.35 million web visits with a 468 per cent year-over-year growth, but its presence and adoption have “not lived up to expectations”.

Its low 38,300 app store reviews signify a struggle to generate buzz or user loyalty, highlighting a “mismatch between resources and real-world impact”. This contrasts sharply with Grok, which launched later but “outpaced Meta AI in nearly every metric”.

A consolidating market and evolving necessity

The AI chatbot landscape 2025 reflects explosive growth, fierce competition, and a clear trend of market consolidation. A small group of “dominant generalists” led by ChatGPT is solidifying its positions, while “rising challengers with specific strengths” like Grok, Gemini, and Claude are gaining ground.

Also Read: #StudentsSpeakonAI: High usage, low understanding—The double-edged sword of AI in education

Concurrently, “specialised tools” such as Perplexity and Microsoft Copilot are successfully carving out profitable niches by solving specific user problems exceptionally well.

The study unequivocally states that “AI chatbots have evolved from experimental toys to essential digital infrastructure”. Success increasingly hinges on platform integration and a refined distribution strategy, which are proving as crucial as technological advancements.

For tech startups and innovators across Southeast Asia, understanding these dynamics is paramount. It’s no longer a question of if these tools will be used, but which ones will best fit evolving needs in a future where human-AI collaboration becomes as natural as texting. The “AI chatbot Big Bang continues expanding,” and this is “only the beginning”.

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You can access the full study here.

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Investors face a muted global risk sentiment, with attention firmly fixed on the Jackson Hole symposium starting today and culminating in Federal Reserve Chair Jerome Powell’s speech tomorrow.

This annual gathering in Wyoming often sets the tone for monetary policy, and with recent data showing a cooling US labour market and persistent inflation concerns, markets anticipate signals on potential rate cuts. President Donald Trump added fuel to the fire by demanding Federal Reserve Governor Lisa Cook resign over mortgage fraud allegations, a move that underscores ongoing tensions between the administration and the central bank.

Such political pressure could amplify volatility, especially as the Fed navigates a delicate balance between supporting growth and taming prices. In my view, this environment highlights the fragility of investor confidence, where policy missteps could trigger sharper corrections, but also opens opportunities for resilient assets like cryptocurrencies to shine amid traditional market wobbles.

US stock markets extended their downward trajectory yesterday, reflecting waning enthusiasm for technology stocks, particularly in artificial intelligence sectors that drove much of the earlier rally. The S&P 500 dipped 0.24 per cent, the Nasdaq fell 0.67 per cent, and the Dow Jones eked out a modest 0.04 per cent gain.

Consumer discretionary stocks lagged significantly, dropping 1.2 per cent, as the administration broadened tariffs on steel and aluminum to include various consumer goods. This expansion aligns with Trump’s protectionist agenda, which he has touted as a way to bolster domestic manufacturing, but it risks escalating trade tensions and inflating costs for businesses and consumers alike.

These tariffs represent a double-edged sword: they protect certain industries in the short term but could stifle broader economic momentum, especially if retaliatory measures from trading partners emerge. Recent data from Schwab’s market update shows major indexes sputtering after a featureless session, with tech arresting its slide but only inching up, underscoring limited buying interest amid elevated price-to-earnings ratios. Investors appear cautious, weighing the potential for a soft landing against the reality of slowing growth.

Also Read: Powell’s speech could trigger a market meltdown or a crypto boom

Bond markets offered a slight reprieve, with US Treasury yields inching lower. The 10-year yield slipped one basis point to 4.28 per cent, while the two-year yield also declined one basis point to 3.74 per cent. This modest dip reflects expectations of easing monetary policy, as traders bet on rate cuts to support the economy. The spread between the 10-year and two-year yields remains a focal point, with the Federal Reserve Bank of St. Louis data indicating positive values that could imply future growth, though negative spreads have historically signalled downturns.

In my opinion, these yield movements suggest markets price in a dovish Fed pivot at Jackson Hole, where Powell’s speech could confirm or dash hopes for a September rate cut. Previews from Investing.com highlight all eyes on Powell as the Fed navigates a policy tightrope amid stagflation fears. If history serves as a guide, insurance cuts like those in 2019 have boosted equities, but reactive cuts during recessions often coincide with weaker returns.

Currencies and commodities presented a mixed picture. The US Dollar Index closed largely unchanged at 98.22, providing little directional cue. Gold climbed 0.9 per cent to US$3,345 per ounce, benefiting from a softer dollar and safe-haven demand ahead of Jackson Hole. Brent crude advanced 1.6 per cent to US$67 per barrel, spurred by reports of a six-million-barrel drop in US crude inventories.

Oil prices gained slightly in Asian trading, with larger-than-expected declines in crude and fuel supporting the uptick, as noted by Reuters. I see gold’s resilience as a hedge against uncertainty, particularly with geopolitical risks like the ongoing Russia-Ukraine talks between Trump and Putin potentially easing sanctions on Russian oil. Commodities like these often thrive when traditional assets falter, and the current setup reinforces their role in diversified portfolios.

Asian markets mirrored the global unease, closing mixed yesterday with sharp losses in export-reliant economies. Japan’s Nikkei fell 1.51 per cent, and Taiwan’s index dropped 2.99 per cent, driven by a weak July export report from Japan. Early trading today showed most indices opening higher, but caution prevails.

Bloomberg reports updated stock indexes in Asia-Pacific, with China e-commerce stocks’ 230 per cent rally at risk amid concerns. These declines stem from tariff fears and slowing global demand, yet the rebound in early sessions indicates bargain hunting. US equity futures point to a lower open, aligning with the broader wait-and-see approach before Jackson Hole.

Also Read: Crypto bleeds and Wall Street collapses as 0.9 PPI shock triggers Fed panic right now

Shifting to cryptocurrencies, recent insights from Glassnode illuminate intriguing divisions among Bitcoin investors. The “First Buyers” group increased their stakes by 10 per cent, seizing opportunities during market dips, while “Conviction Buyers” also bolstered holdings by 10 per cent, adopting a cautious yet hopeful stance.

Profit-Takers offloaded 5.4 per cent more assets to capitalise on gains, and Loss Sellers emerged, shedding positions amid creeping losses. Glassnode’s on-chain analysis reveals short-term holders selling at a loss for the first time in seven months, a trend that rings alarm bells but could signal a necessary market reset.

X posts from Glassnode highlight limited realised losses, suggesting newer Bitcoin investors defend their cost basis near US$112,000.

From my standpoint, these shifts underscore Bitcoin’s maturing ecosystem, where long-term holders exhibit resilience, but short-term volatility tests newcomers. The STH-SOPR dipping below 1 mirrors past corrections, yet the average unrealised loss of 10.6 per cent among short-term holders indicates panic selling that might create buying opportunities for institutions.

Institutional interest remains a cornerstone of Bitcoin’s stability, with anticipated ETF inflows amplifying demand despite macroeconomic headwinds. US spot Bitcoin ETFs recorded US$3.37 billion in net inflows last week, pushing Bitcoin from US$116,000 to US$124,000 before a pullback.

Cumulative inflows stand at US$54.85 billion, with assets under management at US$150.9 billion, even as recent outflows hit US$643 million. Trump’s executive order allowing cryptocurrency in 401(k) plans opens the door for broader adoption, potentially injecting billions from retirement savings.

The Department of Labor rescinded 2022 guidance discouraging crypto in plans, democratising access to alternative assets. I believe this policy shift marks a pivotal moment, bridging traditional finance and crypto, though risks like volatility persist for retirement investors.

Bitcoin’s consolidation ripples through altcoins like Ethereum and Solana, with Bitcoin’s market dominance at approximately 58.89 per cent. CoinMarketCap charts show Bitcoin dominance at 59.62 per cent, a slight uptick reflecting its safe-haven status. Ethereum ETFs outpaced Bitcoin inflows for five straight days, with corporate treasuries accumulating ETH amid falling exchange supply. This interdependence means Bitcoin’s stability bolsters altcoins, but a breakout above key resistance could trigger broader rallies. Solana, in particular, benefits from its speed and low fees, positioning it for growth if institutional flows diversify.

Hong Kong’s foray into spot Bitcoin and Ether ETFs adds an international dimension, with recent debuts showing cautious investor appetite. MicroBit Capital Management launched ETFs tracking US dollar prices of Bitcoin and Ether, with the Bitcoin ETF (stock code 3430) rising 0.1 per cent to HK$7.82 (US$1.00) and the Ether ETF (3425) up 2.8 per cent to HK$8.03 (US$1.03).

Also Read: Cashing out crypto: A guide for Web3 investors

Trading volumes reached about HK$29.68 million (US$3.80 million), per SoSoValue, contrasting with US euphoria but aligning with new stablecoin rules. Pando Finance teamed with OSL Exchange for its Bitcoin ETF launch on July 18, powered by CME CF benchmarks. Hong Kong’s stablecoin regime, effective August 1, requires licenses for issuers, with the first batch expected early next year. The HKMA’s public registry for licensed issuers enhances transparency. I regard this as a strategic move to position Hong Kong as a crypto hub, potentially attracting Asian capital and fostering innovation in fiat-backed stablecoins for trade and payments.

Overall, these developments paint a picture of interconnected markets navigating uncertainty. Traditional assets grapple with tariffs and policy risks, while cryptocurrencies demonstrate resilience through institutional backing and regulatory progress. Jackson Hole could catalyse shifts: a dovish Powell might ignite risk appetite, lifting stocks and crypto, whereas hawkish tones could strengthen the dollar and pressure yields. X discussions emphasise the symposium’s importance, with investors parsing every nuance.

In my experience, such events often precede turning points, and with Bitcoin’s on-chain metrics showing conviction among long-term holders despite short-term pain, I remain optimistic on its trajectory. The US allowing crypto in 401(k)s could unleash trillions in fresh capital, bridging generations of investors. Yet, caution prevails—volatility remains high, and diversified approaches win in the long run. As we await Powell’s words, markets hold their breath, but history favours those who adapt swiftly to emerging trends.

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Singapore-headquartered AnyMind Group today unveiled AnyLive for Creators, a platform that lets influencers develop AI avatars capable of hosting livestreams and driving affiliate commerce, even while the creators themselves are offline.

The initiative aims to unlock scalable monetisation avenues for Southeast and East Asian creators. Malaysian content creator and entrepreneur Bella Khann has been named the platform’s first signed talent. The creator, who has 1.4 million TikTok followers and 1.2 million YouTube subscribers, debuted her AI avatar on her secondary TikTok account, @bellakhann27.

The launch comes when two major growth sectors, live commerce and the creator economy, rapidly converge in Asia. Live commerce is projected to surpass US$77 billion by 2030, while the creator economy is forecasted to hit US$75 billion by 2032.

Yet this growth brings new challenges, including increasing demands on creator time and a need for more efficient content generation. AnyLive for Creators addresses these pain points by allowing creators to deploy AI avatars that can stream around the clock on platforms such as YouTube, TikTok, and Facebook.

Also Read: Forget the rest: ChatGPT alone drives more traffic than 10,500 AI tools combined

The avatars communicate in eight languages, including English, Mandarin, Bahasa Indonesia, Bahasa Melayu, Thai, Vietnamese, Tagalog, and Japanese. The support for these regional languages is a key strategic choice, increasing accessibility and relevance for brands and consumers alike.

The platform also offers users automation and data-driven insights. An integrated analytics module lets creators benchmark performance against their AI counterparts. Additionally, AI-generated scripts can optimise livestream engagement, whether hosted by humans or digital twins.

With over 2,300 creators across APAC working with AnyMind on monetisation, content production, and brand collaboration, the company believes it is well-positioned to scale this new AI-powered offering.

“We’re opening up a new dimension for creators by extending their influence beyond time and effort,” said Akinori Kubo, Managing Director of Global E-Commerce at AnyMind Group, in a press statement. “This is more than just automation. It’s a step forward for the creator economy where commerce is co-created by humans and AI.”

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Image Credit: AnyMind Group

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India’s lending ecosystem is undergoing a historic transformation, and Generative AI is at the centre of this change.

Far beyond being a tech buzzword, GenAI is fundamentally reshaping how credit is assessed, delivered, and managed across segments. From personal loans to home loans, every lending product in the credit ecosystem is being recalibrated with greater precision, agility, and personalisation.

Fast-tracking digital underwriting and risk assessment 

Home loan underwriting in India has traditionally involved arduous paperwork, strict eligibility criteria, and long processing times. With GenAI, the process is starting to change.

Lenders are now using large language models (LLMs) to read and interpret bank statements and income proofs automatically. When combined with alternate data points like rent payments and UPI credit history, these tools can build a complete credit profile of the borrower. This can be especially helpful for middle-income borrowers in urban and semi-urban areas, who may not have a strong traditional credit history.

According to a PwC report, the rise of digital lending has already reduced processing times and made credit more accessible across different customer segments. More recently, EY projected that GenAI could improve productivity in banking operations by up to 46 per cent by 2030, mainly through faster credit decisions and better fraud detection.

Some of these improvements are already evident, with leading Fintechs reporting 30 per cent -40 per cent quicker turnaround on home loan approvals and processing time averaging around 48-72 hours.

Personalised home loan experiences 

Today, the appeal of home loans goes beyond just interest rates and tenure. What matters to consumers is how well the loan fits into their individual lives, and this is where GenAI is making a difference.

GenAI allows lenders and Fintechs to offer personalised loan solutions by designing flexible loan structures, including better interest rate recommendations, dynamic EMI plans, and repayment schedules matching a borrower’s income patterns.

Also Read: GenAI’s twisted impact on the creative world: Navigating chaos to find new order

A recent survey conducted by EY reveals 68 per cent lenders, including fintechs, are prioritising customer service as the main area for deploying GenAI, with 32 per cent targeting sales and underwriting next. This shift will eventually lead to the adoption of conversational AI, where borrowers can interact with virtual assistants to explore loan options tailored to their specific needs.

For instance, AI-powered conversations can help first-time home buyers by offering suggestions based not only on their affordability but also as per their preferences, such as proximity to schools, hospitals, or even pet clinics. Such additional layers of interaction help make the loan process feel more intuitive and trustworthy, improving both engagement and consumer satisfaction.

Smarter fraud detection and compliance 

As digital lending volumes grow, so does the risk of fraud. However, GenAI can be a valuable tool in mitigating this risk by identifying anomalies in documents, detecting forged statements, and flagging unusual repayment transactions. By combining semantic analysis with structured data, GenAI can easily spot inconsistencies that traditional systems might overlook.

Regulators are also becoming increasingly supportive. RBI has introduced guidelines that call for AI risk frameworks and explanations in AI-driven underwriting.

Deploying GenAI responsibly requires strong governance, and its ethical use is non-negotiable. Lending platforms are working towards embedding bias-mitigation modules to verify AI decisions and thereby ensure that underserved applicants are not excluded from access to credit.

Co-lending models to propel lending space 

The rise of co-lending models, where fintechs partner with traditional banks and NBFCs, is reshaping India’s credit landscape. Such collaborations combine the agility and digital reach of fintechs with the capital base and regulatory stability of established banks and financial institutions.

When paired with GenAI, these partnerships can streamline credit evaluation, expedite disbursals, and offer tailored loan products. Co-lending models are expected to play an integral role in scaling lending operations and improving affordability, especially for younger homebuyers.

Also Read: 3 game-changing GenAI insights every digital-native business needs to know

Green mortgages and sustainability pricing 

Today’s consumers are more conscious about sustainability, and it is influencing their home-buying decisions. There is a growing demand for green mortgages—home loans tailored for properties that follow energy-efficient practices, such as solar rooftops, rainwater harvesting systems, or passive cooling designs.

Through image and document analysis, GenAI can help identify eco-friendly features in a property and factor them into pricing models. Some fintechs have already started offering “green home loans” with preferential interest rates for such properties. GenAI is not just a tool for operational efficiency, but also acts as an enabler of sustainable lending by rewarding environmentally responsible choices and supporting climate goals.

Portfolio management and risk foretelling 

The use of GenAI goes just beyond underwriting. Lenders are leveraging it to analyse macroeconomic trends such as real estate cycles, employment trends, and market sentiments to proactively predict and manage portfolio risk.

These advanced models support dynamic capital provisioning and adjustable risk buffers, helping the industry respond to economic changes with greater agility.

Banks, fintechs, and NBFCs are already investing heavily in AI-first frameworks to mitigate their risk exposure. This can result in lending platforms, especially fintechs, reporting a 15-20 per cent reduction in delinquency rates compared to traditional approaches.

While rapid adoption of GenAI across the lending space is on a surge, scaling these capabilities effectively will require strong cybersecurity practices, robust data infrastructure, and a skilled talent pool to manage and govern AI systems responsibly.

For leaders, the message is clear – GenAI is pivotal to the lending landscape. Those who embrace it quickly will lead the next phase of growth, delivering faster and more inclusive credit experiences to borrowers.

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We’re living longer than ever before. That much is clear. But the real question is: are we living well for longer? How are technological, social, and cultural systems working — not just to extend our lifespan — but our healthspan, the years we live in good health and full vitality?

Across Asia, conversations about ageing are shifting dramatically – from a crisis mindset toward opportunity-driven innovation. This change is fuelled by urgent demographic realities, guided by deep cultural values, and propelled by new technologies. As someone who operates at the crossroads of wellness, policy, and early-stage investment, I see a powerful trend: Asia is actively redefining what longevity means – not only how long we live, but how well we live throughout those years.

Current situation in Asia

Asia is home to over half the world’s ageing population, and it is ageing faster than anywhere else. According to the WHO, one in six people will be aged 60 or older globally by 2030, but Asia’s pace is especially rapid.

Consider these numbers:  30 per cent of Japan’s population is aged 65 and above. In 2024, South Korea saw this age group make up nearly 20 per cent of its population. Singapore expects that by 2030, one in four residents will be senior citizens. And across Southeast Asia, those aged 60 and over are expected to nearly double their share  — from 12.2 per cent in 2024 to nearly 23 per cent by 2050.

These statistics aren’t just abstract figures. They have real consequences on workforce dynamics, healthcare systems, and social support networks. According to the World Health Organisation, there is currently a 9.6-year gap between lifespan and healthspan – the average person may live those extra years in poor health.

Also Read: The ageing economy: Why investors should bet on longevity over AI

Asia’s demographic pressure is compounded by rich traditions of holistic health, such as Traditional Chinese Medicine, Ayurveda, forest bathing, and blue-zone diets, that shape how people think about longevity. It’s not simply biological age that matters; it’s the balance of prevention, mobility, community, and mental wellbeing.

This combination, rapid ageing plus cultural wisdom, makes Asia a fertile ground for what I call practical longevity innovation.

The rise of applied longevity

I’m not a scientist by training. I’m a wellness entrepreneur and investor. Over the years, I’ve learned that what people really want as they age is clarity and personalisation, not just more medicine. They want better tools to manage sleep, stress, diet, and mobility; access to nature; and meaningful routines that sustain vitality.

That’s why the most exciting longevity solutions in Asia aren’t always found in high-tech labs. They’re in everyday places, such as gyms, kitchens, and bedrooms,  and increasingly in the cloud.

In Singapore, platforms like HealthHub and Healthy 365 are quietly shaping healthier behaviours, encouraging people to walk more, screen earlier, and make better food choices. Across Indonesia, India, and Malaysia, digital health startups are making diagnostics, telehealth, and wellness coaching more accessible than ever.

In Japan and South Korea, robotics and AI are being used to support ageing in place — helping older adults move, live, and thrive independently. And in Thailand, wellness tourism is evolving to meet the needs of older travellers, integrating nature with structured, evidence-backed health programs.

Tech + culture = Scalable healthspan

Yes, AI, biomarkers, and predictive analytics are certainly exciting. Asia is investing heavily in health-focused AI under national strategies that prioritise practical applications.

But what really matters is layering smart, unobtrusive technology on top of cultural habits and lifestyles—tools for sleep optimisation, gut health tracking, and AI-powered meal-planning that align with local diets and social norms.

Also Read: Innovation that lasts: Why inclusion is the Southeast Asian startup advantage

In other words, it’s not about high-tech or low-tech; it’s about right-tech: solutions that fit the cultural context and the daily realities of people’s lives.

The financial potential reflects this urgency: UBS estimates the global longevity economy will be worth US$8 trillion by 2030, driven largely by older consumers spending on wellness, mobility, and travel.

AI is coming but behaviour still leads

AI tools can predict metabolic risks, tailor nutrition based on microbiome data, and even coach stress management. But data alone won’t walk you to the gym or help you sleep better.

That’s why we need robust, real-world ecosystems: urban planning that promotes walkability; community programmes that combat social isolation; and employer policies that encourage healthy work-life balance.

Asia could lead the world by not just developing cutting-edge technology, but deploying it in culturally sensitive, context-aware ways. This is longevity that fits, not a one-size-fits-all model, but something tailored to diverse Asian populations.

The question we should all be asking is: what would society look like if we assumed people live to 100, not as outliers, but as the norm?

These aren’t sci-fi ideas. It’s a near-future reality. But it demands a shift in mindset: longevity must be viewed as basic infrastructure, not a luxury or elite pursuit. Asia is uniquely positioned to pioneer this transition because, in many ways, we are already living the future others are still preparing for.

Some ventures are reimagining access to holistic healthcare and lifestyle interventions to extend healthspan and create social value. At the early stage, they need more than capital — they need aligned partners who can support scalable, impact-driven innovation where returns grow in tandem with health and societal outcomes.

The need to unite sectors

Ageing is a design-centric challenge that integrates technology, policy, wellness, urban planning, and community.

It cuts across every sector, ranging from finance and hospitality to healthcare and city governance. Every industry has the potential to play a great role to build this future.

The question isn’t whether ageing will matter, it already does. The challenge is how to design infrastructure, systems, and markets that make long life not just possible, but meaningful.

And if we get it right, we won’t just add years to life, we’ll add life to years.

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