In May 2026, 97 of the world’s 100 hottest cities were located inside India on a single day. Balangir in Odisha recorded 48°C. Dozens of cities across Uttar Pradesh, Bihar, and Chhattisgarh were simultaneously among the most heat-stressed places on Earth.
This World Environment Day, the pledges will flow. The awareness campaigns will run. And 450 million informal workers, construction labourers, street vendors, domestic workers, and gig delivery riders will go to work anyway, because the alternative is not eating.
The people building parametric insurance infrastructure in India know exactly what it costs to protect someone from this. They also know it is being built far too slowly.
The loss we keep failing to count
India lost an estimated 247 billion labour hours to extreme heat in 2024, a record high of nearly 420 hours per person and 124% above the 1990s average, according to the Lancet Countdown. The income loss: $194 billion. Agriculture absorbed 66% of it. Construction took another 20%.
A Harvard University-backed white paper released in April 2026 estimates roughly 380 million Indians, three-quarters of the workforce, are engaged in heat-exposed labour. The ILO projects heat stress could eliminate 34 million full-time jobs in India by 2030.
For the informal worker, who makes up 90% of India’s workforce with no paid leave and no financial buffer, extreme heat is not a weather event. It is an income event. Avoiding exposure means lost wages. Continuing to work means health costs they cannot afford. Either way, the loss lands entirely on them.
Why traditional insurance cannot solve this
Conventional insurance requires something to break. A flood must damage a home. A fire must destroy a crop. When a daily wage worker is forced inside during a heatwave, nothing breaks in the way insurers have historically understood. There is no asset damage to photograph, no invoice to verify. The loss is invisible to every traditional underwriting model, yet entirely visible to the person experiencing it.
Beyond the claims problem, traditional insurance carries structural barriers that make it inaccessible to informal workers. Premiums must be paid upfront, often in annual lump sums that low-income households cannot afford. Claims require documentation, medical records, employer letters, and proof of income loss, paperwork that most daily wage workers do not have and cannot easily produce. Settlement timelines stretch from weeks to months, arriving long after the crisis has passed and the financial damage is done. For a worker who earns ₹500 a day and has no savings buffer, a two-month claims process is not a slow solution. It is no solution at all.
This is the protection gap that parametric insurance is increasingly being designed to address.
What Parametric Insurance is, and how it works
Parametric insurance is a fundamentally different model. Rather than compensating a loss after assessing its extent, it pays out when a pre-defined event occurs, regardless of individual circumstances. The trigger is objective, weather data from IMD stations, satellite feeds, or reanalysis datasets, not a subjective assessment of damage.
Here is how it works in practice. A policy is designed around a specific weather threshold relevant to the insured risk, for example, two consecutive days where the temperature exceeds 43°C in a given district. This threshold is agreed upon at the time of purchase, alongside the payout amount. When real-time weather data confirms the threshold has been crossed, the payout is released automatically, directly to the policyholder’s UPI-linked account or Jan Dhan account, typically within 24 to 48 hours.
There is no claim to file. No assessor to wait for. No paperwork to gather. The system monitors the weather continuously and acts the moment the trigger condition is met.
Premiums are calculated using decades of historical weather data across thousands of grid points, meaning they can be priced accurately and affordably for specific geographies and risk profiles. A parametric heat product for an informal worker in Nagpur can be priced differently from one in Lucknow, reflecting actual local temperature patterns rather than broad averages.
This precision is what makes parametric insurance uniquely suited to climate risk, particularly for populations whose losses are income-based, invisible to traditional models, and most damaging when relief is delayed.
The regulatory window is open
The Sabka Bima Sabki Raksha (Amendment of Insurance Laws) Act, 2025, which came into force in February 2026, is the most consequential overhaul of India’s insurance law since liberalisation. It raises the FDI ceiling to 100%, enables micro-insurance distribution, and targets “Insurance for All by 2047.” Insurance penetration stands at 3.7% of GDP, compared with a global average of 7.3%. The informal economy, the population most exposed to climate risk, sits almost entirely outside that number.
The architecture for mass-scale parametric climate coverage already exists. Bima Sugam provides the distribution channel. Jan Dhan, UPI, and Aadhaar provide last-mile payment infrastructure. What is missing is execution at the speed the crisis demands.
Three things would accelerate it: standardised national heat triggers aligned with IMD’s heatwave classification, a government co-payment framework through e-SHRAM’s 300 million registered informal workers to bring premiums to near-zero, and investment in hyper-local weather station networks as core financial infrastructure.
The only question that matters
Every World Environment Day produces commitments. India’s are genuine: Net Zero by 2070, 500 GW of renewables by 2030. None of that changes what a construction worker in Patna experiences when the temperature hits 46°C at 9 in the morning, and he has no choice but to climb the scaffolding anyway.
The barrier to protecting him is not invention. It is the pace of execution. The summer of 2026 has made the cost of delay impossible to ignore.
India’s informal workers cannot afford to wait for the next awareness campaign.
Anupam Shrey is the Co-Founder of Plutas.ai
