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Technology News Updated Aug 1, 2026

AI to Reshape Insurance Economics, Drive Scale and Specialisation: McKinsey

A McKinsey report highlights that AI is set to reshape global insurance economics, pushing carriers, brokers, and tech providers to choose between scale and cost or deep specialisation. Early adopters could gain a significant edge, while delays may widen competitive gaps. The report notes AI's potential to expand into new risk pools, improve underwriting accuracy, and shift towards continuous, data-driven risk management. Despite industry profitability struggles, AI-driven transformations are already yielding 20-40% reductions in onboarding costs and 10-20% improvements in agent productivity, with AI leaders achieving six times greater shareholder returns.

AI set to reshape insurance economics, push industry towards scale, specialisation: Report

New Delhi, August 1

Artificial intelligence is set to reshape the economics of the global insurance industry, with carriers, brokers and technology providers that move early potentially gaining a significant competitive edge as AI changes underwriting, distribution, productivity and the pace of innovation, according to a McKinsey report.

The report said insurers will increasingly have to choose between competing through scale and cost or through deep specialisation, while building the technology, data and operating capabilities required to respond at "technology speed". Companies that delay AI transformation could see the competitive gap widen, while those able to test, learn and scale faster may build a structural advantage.

McKinsey said AI could help insurers expand into emerging risk pools, improve underwriting and claims accuracy and shift the industry from traditional risk transfer towards continuous, data-driven risk management. New areas such as AI liability, nonphysical business interruption and AI-augmented workforce transitions could expand the insurance market, while parametric products, embedded micro-coverage and on-demand policies could make previously uneconomic segments more accessible.

The report noted that the global insurance industry has struggled to translate premium growth into stronger profitability. Gross written premiums expanded at about 4.9 per cent annually between 2005 and 2025 to an estimated $8.3 trillion, while profits before tax grew by around 4.3 per cent to approximately $580 billion.

AI could also address the sector's longstanding productivity challenge. McKinsey said insurance cost ratios have risen globally despite heavy investment in automation and digital tools. However, AI-driven transformations are already producing 20-40 per cent reductions in customer onboarding costs and 10-20 per cent improvements in insurance agent productivity in some domains.

Distribution could undergo a major shift as AI assistants increasingly compare coverage, prices and products and potentially influence customers' purchase decisions. The report said the "front door" to insurance could increasingly become an AI assistant, platform or ecosystem rather than a traditional agent or insurer website.

McKinsey said insurers will need to build faster decision-making, stronger data architecture and closer integration between business and technical teams. AI leaders have already generated six times greater total shareholder returns than laggards, highlighting the potential financial consequences of moving quickly.

— ANI

Reader Comments

Kavya N

Honestly, I'm a bit skeptical. Insurance companies in India are already struggling with customer service and transparency. Adding AI might just create more confusion for the elderly and rural population who aren't tech-savvy. We need a balanced approach, not just tech for tech's sake. But let's see how it plays out in the Indian context.

Amitabh S

The point about AI liability and new risk pools really resonates. As India moves towards more autonomous vehicles, drone deliveries, and AI-driven healthcare, we're going to need entirely new insurance products. Companies like Acko and Digit are already using AI for faster claims, but there's a huge opportunity for first-movers to dominate this space. जल्दी करो! Fast movers will win!

Suresh O

20-40% reduction in onboarding costs? That's huge for a country like India where LIC alone has 200+ million policyholders. But my concern is: what about data privacy? The Data Protection Bill needs to be enforced properly. These insurance companies will have access to so much personal data. Koi bharosa nahi hai these days. Need strict regulations alongside AI adoption.

Priya S

As someone working in the fintech sector, I can say this is spot on. The traditional distribution models are already being disrupted. My boomer parents still prefer agents, but my generation is comfortable comparing policies on apps like PolicyBazaar. AI assistants that compare coverage will totally change the game. LIC and other big players need to adapt or get left behind honestly.

V Varun X The Indian We welcome thoughtful discussions from our readers. Please keep comments respectful and on-topic.

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