Sep 2, 2026
What Automated Underwriting Can Teach Us About AI Accountability Key Takeaways Insurance did not begin delegating decisions to machines with generative AI. Automated underwriting systems have been doing versions of it for decades, and they generally worked by making...
Aug 26, 2026
Judgment, Determinism, and the Shape of Error in Insurance Key Takeaways Large language models can produce different outputs from identical prompts even when configured to minimize randomness, but some of that variation comes from how the system processes requests...
Aug 19, 2026
The Economics of AI in Insurance, Part 3 By James W. Moore Key Takeaways Better underwriting does not create more risk-bearing capital. Carriers buy reinsurance for reasons that go well beyond confidence in their own risk selection, including capital, liquidity,...
Aug 12, 2026
Artificial Intelligence May Change Competition More Than Demand By James W. Moore Key Takeaways AI’s most important effect on insurance may not be labor displacement but capacity displacement: the creation of underwriting capacity faster than insurable...
Aug 5, 2026
Insurance Answers a Different Economic Question By James W. MooreFounder | Editor-in-Chief, InsuranceIndustry.ai If you’ve spent any time reading about artificial intelligence over the past year, you’ve probably run across Jevons Paradox. The idea...
Jun 10, 2026
But Not the Way You Think. By James W. Moore In February 2026, according to AIUC’s announcement, ElevenLabs became the first company to go live with a dedicated AI liability policy, backed by Lloyd’s market capacity with limits up to $50 million. It...
