Are nuclear plants, spaceships, and oil rigs riskier than AI? Some insurers believe AI poses a greater risk.
In this episode of Leading Change in the Wild, I take a close look at how major carriers like AIG, Great American, and WR Berkeley are approaching AI risk—and what that means for leaders and organizations betting on this technology.
📉 Here’s what I unpack:
- Why carriers are asking to limit AI liability coverage
- How real-world AI mishaps—from chatbot hallucinations to deepfake fraud—are creating concern
- Why agentic AI introduces systemic risk that could trigger thousands of simultaneous claims
- What recent cloud outages at AWS and Microsoft reveal about scale, dependency, and exposure
- Why AI’s “black box” nature makes it nearly impossible to price risk accurately
- How this shift could impact AI-first companies that assumed insurance would back them up
- The key questions leaders need to ask their brokers before diving into AI
Insurance has traditionally been there to catch the risk when we experiment, innovate, or try something new. But with AI, we’re entering uncharted territory, and companies need to think carefully about risk before jumping in.
👇 Let’s discuss:
Should insurers be able to limit AI coverage?
How is your organization weighing risk versus reward when using AI?
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