Artificial intelligence has quickly found its way into nearly every professional conversation, including insurance. Increasingly, clients are using AI tools to help them interpret policies, draft emails, or “fact‑check” recommendations from their broker. On the surface, this seems efficient and empowering. In practice, however, it often creates confusion, delays, and decisions that are not aligned with today’s insurance market realities.
AI can be a useful assistant. It can summarize documents, explain basic insurance concepts, and help clients articulate questions. Where it falls short and sometimes causes harm is when it attempts to replace the role of a licensed, accountable insurance professional.
AI is trained on historical data and generalized information. Insurance, particularly in today’s market, is anything but static. Coverage decisions are driven by real‑time carrier appetite, underwriting behavior, loss trends, reinsurance capacity, litigation climate, and regulatory nuance. These factors change constantly and are often invisible outside of daily broker‑carrier interaction. AI does not negotiate with underwriters, understand carrier-specific endorsements, track shifting market appetites, account for loss history interpretation, or bear professional liability for advice given. A licensed broker does all of that and is legally and professionally accountable for it.
One unintended consequence we’re seeing is increased back‑and‑forth that slows decision‑making. An insured may receive AI‑generated responses that sound confident, but are based on outdated or inapplicable assumptions.
The result is not better outcomes, but longer timelines, frustration, and sometimes missed opportunities. Insurance advice is rarely black and white. Two buildings with identical construction can be priced dramatically differently based on claims history, management practices, tenant mix, or even local jurisdiction. AI cannot weigh these subtleties the way an experienced broker can. More importantly, AI does not know what the carrier will actually do. Brokers do, because we speak to them daily.
AI can absolutely be part of a productive insurance process when used correctly. It works best as a tool to help insureds prepare thoughtful questions, a way to better understand terminology, and a supplement, not a substitute for professional advice. The danger comes when AI is treated as an authority rather than a reference point.
In one of the hardest insurance markets in decades, the broker’s value isn’t just placement, it’s interpretation, strategy, and advocacy. A broker doesn’t just answer what a policy says; they explain why it’s structured that way, what’s realistically available, and how to protect the client moving forward. AI can generate information. Brokers generate outcomes.
Artificial intelligence is here to stay, and it will continue to evolve. But insurance is still a relationship‑driven, judgment‑based profession. When clients rely solely on AI to challenge or override professional guidance, they often unknowingly increase their own risk.
The smartest approach isn’t choosing between AI and a broker; it’s knowing when each belongs in the conversation. Reach out with questions anytime, I’m always here to help.
