Why Insurers Don't Act on Their Own AI — and How to Fix It

Gradient AI CEO Stan Smith recently joined host Joshua R. Hollander on the Insurtech Leadership Podcast for a sharp conversation on one of the industry's most underappreciated challenges: why insurers trust their gut over their models and what it actually takes to change that.

In this episode, Stan and Joshua dig into:

• Why explainability — not accuracy — is the real barrier to AI adoption in insurance, and why a prediction no one acts on is worth nothing regardless of how good the model is
  
  
• How Gradient AI's contributory data lake, built from tens of millions of policies and claims, gives carriers access to risk signals that no single book of business could ever produce on its own
  
  
• The in-house AI trap: why carriers that build internally keep arriving at the same minimally viable product and what they're consistently underestimating about the problem