AI Could Finally Slash Insurance Costs After Decades of Failed Digitisation
McKinsey report reveals that two decades of digitisation failed to lower insurance costs, but AI could transform underwriting and claims.
Despite twenty years of heavy investment in automation and digital tools, the insurance industry has struggled to lower its overall cost burden. However, a new McKinsey report suggests that artificial intelligence could be the game-changer needed to finally reduce expenses in underwriting, claims, and customer servicing.
The Digitisation Paradox
According to the McKinsey report, titled How AI will reshape the economics of insurance: A CEO's guide to strategy, global insurance cost ratios are actually around 10 per cent higher today than they were in 2005. While technology has undoubtedly made processes faster, the expected savings have been swallowed up by other rising expenses.
McKinsey notes that while labour productivity saw significant boosts—increasing by 14 per cent in property and casualty insurance and 24 per cent in life insurance—these gains were largely offset by:
- Increased technology spending
- Rising compliance costs
- The complexity of integrating new digital systems with old, legacy operations
AI: The New Frontier for Efficiency
Unlike previous waves of digitisation that focused on individual processes, AI has the potential to impact the entire value chain simultaneously. The report highlights that AI-led transformations are already showing impressive results, including:
- 20-40 per cent reductions in customer onboarding costs
- 10-20 per cent improvements in insurance agent productivity
A Shift in Distribution and Commissions
Distribution remains one of the most expensive parts of the insurance business. In property and casualty insurance, commissions and acquisition expenses consume between 10 and 25 cents of every premium dollar. In life insurance, this figure can soar to as much as 80 cents of the first-year premium.
AI is poised to disrupt this model through intelligent assistants. These tools could monitor policy renewals, compare prices across various insurers, and recommend switches on behalf of customers. This capability may shift some of the customer relationship away from traditional agents and insurer websites.
The Future of the Insurance Agent
While AI will undoubtedly reshape how value is divided between insurers, distributors, and customers, McKinsey does not predict the immediate disappearance of intermediaries. For complex commercial and specialised insurance, AI is expected to act as a productivity booster for agents and brokers rather than a replacement.
This industry shift comes at a critical time for the sector. In India, the IRDAI recently proposed significant changes to insurance distribution rules—including lower expense limits and revised commission structures—aiming to create a more cost-efficient and customer-focused landscape. The McKinsey findings suggest that the industry's struggle with cost efficiency is a global challenge that AI is uniquely positioned to solve.