Berkshire Hathaway’s Insurance Chief: Will AI Ever Fully Replace Human Judgment?

Ajit Jain, the vice chairman of insurance operations at Berkshire Hathaway Inc., has expressed skepticism regarding the capacity of artificial intelligence to fully replace human judgment within the insurance sector. Speaking on the current state of technology in the industry, Jain characterized the prevailing enthusiasm for AI as very fashionable while arguing that its practical utility remains limited to routine labor.

The comments, reported on May 4, 2026, highlight a tension between the rapid adoption of generative AI in financial services and the traditional underwriting philosophies maintained by one of the world’s largest insurance conglomerates.

Distinction Between Routine Labor and Judgment

Jain indicated that while AI tools can efficiently handle repetitive tasks and data processing, they lack the nuanced decision-making capabilities required for complex risk assessment. He suggested that the ability to analyze vast amounts of data does not equate to the ability to exercise professional judgment in high-stakes underwriting scenarios.

According to Jain, the application of AI is most effective when applied to routine labor, such as automating administrative workflows or processing standard claims. However, he stated that he would be surprised if AI ever reaches a point where it can fully replicate the human expertise necessary to price unconventional or catastrophic risks.

The Role of Underwriting Expertise

Berkshire Hathaway’s insurance operations, which include GEICO and General Re, have historically relied on a disciplined approach to underwriting that prioritizes the avoidance of losses over the pursuit of growth. This philosophy emphasizes the art of underwriting—a combination of experience, intuition, and a deep understanding of market cycles that Jain believes cannot be coded into an algorithm.

The vice chairman’s perspective suggests that while AI can improve the speed of data retrieval and the accuracy of basic calculations, the final determination of risk remains a human prerogative. This stance contrasts with the goals of many InsurTech firms that seek to fully automate the underwriting process to reduce overhead and accelerate policy issuance.

Strategic Context for Berkshire Hathaway

Berkshire Hathaway operates a massive insurance float, which provides the capital used for the company’s diverse investment portfolio. Because the stability of this float depends on the accuracy of its insurance pricing, the company maintains a conservative approach to technological disruption that could potentially introduce systemic errors in risk pricing.

The company’s insurance segment continues to focus on several core operational pillars:

• The prioritization of underwriting discipline to ensure long-term profitability.
• The use of technology to enhance efficiency in routine administrative functions.
• Reliance on seasoned executives to manage complex reinsurance treaties and large-scale commercial risks.

By framing AI as a tool for routine labor rather than a replacement for leadership, Jain reinforces the company’s reliance on human capital and specialized knowledge as its primary competitive advantage in the global insurance market.