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AI is a limited resource, powered by even more limited resources. Carriers must not forget that, writes Jim Girard, vice president of engineering at Benekiva.

The insurers that build for execution, rather than waiting for the next tool or the next shock, will be the ones still keeping pace when the systems around them strain.

Travelers made a major bet on AI when it committed to developing its own in-house large language model, TravelersLLM. CTO Mojgan Lefebvre discusses how the company determines the technology's success.

As more Americans turn to GLP-1 medications for weight loss, employers are weighing the benefits of coverage against rising healthcare expenses and long-term costs.

New systems will help but insurers first need to organize institutional knowledge and review processes.

As data sources expand and risks become more dynamic, embeddings are influencing how insurers assess risks, segment portfolios and support underwriting and pricing decisions, writes writes Brian Keller, PhD, vice president of AI and data science for LexisNexis Risk Solutions.

Chubb, WTW and Westfield executives emphasize the importance of testing systems and validating information.

The insurer highlighted AI-driven gains in claims processing and underwriting during the second quarter.

The agents that report increased client retention are also more likely to have a positive opinion of using AI, according to Liberty Mutual's 2026 Independent Agency Growth Study.

As climate change makes compound events more likely, experts warned that grappling with them is further complicated by the Trump administration's cuts to disaster work.

AB 311 would give auto insurers more tools to evaluate risks to cover, but critics say it's unclear on how AI can be used.

The health giant, in the midst of a $3 billion investment in AI through 2027, says the technology is now involved in nearly every provider and consumer interaction.

Human-induced changes to the global climate have "a direct and well-understood impact" on extreme heat and rainfall, according to a landmark new US National Academies report.

Teams should revisit sourcing decisions continuously, rather than treat them as fixed multi-year commitments.

Competing philosophies are facing off in California's race for insurance commissioner.

Insurance carriers have always relied on data to understand risk. What has changed dramatically, however, is how that data is used, writes Brian Keller, PhD, vice president of AI and data science for LexisNexis Risk Solutions.

Many people in insurance want AI, but they're having a hard time using it effectively in the workplace.

A dangerous assumption persists that existing commercial insurance portfolios will naturally absorb any liabilities arising from algorithmic failures.

Carriers must move beyond highly visible AI activity that may look like progress and toward real operational transformation, writes Peter McMurtrie, a partner of the insurance practice for West Monroe.

Underwriters do not see AI as a threat; most would consider the quality of an employer's AI tools when switching jobs, according to a new survey.