In the 1990s, India faced a familiar infrastructure dilemma. Much of the developed world had already invested heavily in copper-wire landline networks and the expensive upgrades that followed. India, by contrast, had weak penetration, unreliable access, and a system many considered structurally behind. Then something remarkable happened. India did not spend decades trying to replicate the West's legacy telecom architecture. It leapfrogged — moving from limited fixed-line access to mobile-first connectivity at a scale and cost the world had not seen. That leap did not merely change how Indians made phone calls. It helped create the conditions for low-cost data, UPI payments, and a digital public infrastructure of global consequence. Healthcare may now be standing at a similar inflection point. For decades, India's healthcare system has been criticised for fragmentation, high out-of pocket spending, uneven quality, and the absence of a unified payer structure. Those criticisms are valid. No serious discussion of Indian healthcare can ignore financial vulnerability, inconsistent standards, or the need for stronger public health capacity. But in the age of artificial intelligence and digital public infrastructure, there is another way to read India's healthcare reality. What if the features long treated only as weaknesses also create a strategic opening? Built for Sick-Care, Not HealthspanThe developed world's healthcare system runs on what might be called the CPT Code Landline - a web of billing codes, insurance gatekeepers, payer adjudication, and clinical-administrative infrastructure built over six decades and now impossible to dismantle without financial catastrophe for the institutions that depend on it. In the United States, more than a third of every healthcare dollar is consumed by administrative overhead alone. A new preventive service, digital therapeutic, or AI-enabled care model must find a reimbursement pathway, fit into existing codes, satisfy payers, and prove short-term medical necessity within a system designed largely for disease treatment. That architecture is not built for healthspan. It is built for sick-care. It works best when a person is already ill enough to qualify for a reimbursable episode. It struggles with the growing space between wellness and disease: early risk detection, metabolic optimisation, preventive screening, behaviour change, sleep, nutrition, and longitudinal monitoring. These are precisely the areas that will define the future of health - and precisely the areas where India's less-constrained market can move first. India's Greenfield SpectrumConsider what India does have. UPI processed more than 21 billion transactions in January 2026 alone - mass-scale, frictionless digital payment behaviour embedded in everyday life. The Ayushman Bharat Digital Mission has created a national health identity and consent architecture, with nearly 80 crore ABHA accounts active by mid-2025. WhatsApp is the default communication interface for over 500 million Indians. And India's private healthcare market - fragmented, consumer-pay, entrepreneurially structured - operates entirely outside the billing-code logic that constrains every new health service launched in the West. This is our equivalent of mobile spectrum. In telecom, the government's decision to auction spectrum and create TRAI as a light-touch regulator allowed private players to build on a clean foundation. In healthcare, UPI is our payment spectrum. ABDM is our consent and identity spectrum. The infrastructure to build something genuinely new already exists. What India has not yet done is recognise it as such - and build accordingly. Now imagine a practical health journey built on this foundation. A person begins through a familiar digital front door - WhatsApp. They complete a structured health intake, upload reports, connect diagnostic data if they choose, and provide explicit consent for how their information is used. An AI system summarises findings in plain language, identifies gaps, and recommends a next step: a repeat test, a nutrition intervention, a cardiovascular risk review, or escalation to a specialist. Payment happens instantly via UPI. Services are fulfilled through a curated local network of diagnostic labs, clinicians, pharmacies, and home-care teams. Records are organised longitudinally. Complex decisions are reviewed by qualified clinicians. India's 50,000-plus private laboratories, nursing homes, and specialist clinics — currently fragmented and uncoordinated - become the raw material for a hub-and-spoke delivery network connected through an AI orchestration layer. India's fragmentation is not the problem. It is the starting point. The Conditions for TrustThis opportunity demands discipline. A national leapfrog cannot be built on hype. It must be built on trust. AI-driven health tools must begin with navigation, prevention, education, and risk awareness - not autonomous clinical decision-making. Health data must be treated as a trust asset: consent specific, transparent, revocable, and understandable. Quality must be designed into every network - distributed providers only work if they are credentialled, audited, and measured against outcomes. And India must resist the assumption that healthcare maturity means importing every feature of Western regulatory architecture. Catastrophic care must be better pooled and public health systems strengthened. But preventive and consumer-facing services should not be forced prematurely into rigid claims infrastructure when better models — built around subscriptions, transparency, and consent - can be constructed instead. A National Industrial OpportunityThe world is ageing. Chronic disease is rising globally. Health systems everywhere are struggling to shift from reactive treatment to proactive prevention. If India develops the right architecture now, it can export not merely doctors, medicines, or low-cost procedures, but health intelligence, care protocols, AI-enabled orchestration models, and real-world evidence drawn from the most diverse patient populations on earth. That is the deeper ambition of the second leapfrog: the first leapfrog connected India; the payments leapfrog changed how India transacts; the health leapfrog could change how India — and the world — lives.The Choice Before UsThe telecom leapfrog did not happen by accident. It required deliberate policy choices: spectrum auction, private sector entry, regulatory restraint, and a commitment to interoperability over monopoly. TRAI created the conditions. The private sector executed. The same logic applies here. India needs a health innovation framework that distinguishes rigorously governed clinical care from agile preventive services, that keeps ABDM an open protocol rather than a walled garden, and that builds the regulatory framework from demonstrated outcomes rather than theoretical precaution. India does not need to spend the next decade replicating yesterday's sick-care bureaucracy. The CPT Code Landline is a burden the West cannot shed. India never laid that wire. The question is whether we recognise this moment - before we bury it under the very legacy systems others are now trying to escape.The author is a Boston-based scientist, serial entrepreneur, innovator, and investor. Views are their own.(Disclaimer: The opinions expressed in this column are that of the writer. The facts and opinions expressed here do not reflect the views of www.economictimes.com.)