AI Adoption Is Outrunning Trust. Explainability Closes The Gap.

For the past several years, the enterprise AI race has been framed as a contest for model superiority. Companies compared benchmarks, invested in infrastructure, and rushed to put the newest foundation models into production. That made sense when access to capable AI was scarce, but it makes less sense now that model performance is rapidly improving, agentic tools are multiplying, and AI is moving into the workflows where businesses make decisions.

The next differentiator will be trust, demonstrated through the ability to show where information came from, how it was governed, why an AI system produced a particular answer and whether that answer can be defended when the stakes are highest.

Recent events are making this shift harder to ignore. The industry’s loudest debate right now is whether frontier labs should coordinate a slowdown in response to a wave of AI safety warnings. But a more subtle and immediate shift is already underway inside enterprises. Companies are pulling back on frontier models over questions of trust and sovereignty, not over questions of capability. The Information reported that corporate customers of Anthropic and OpenAI have started restricting or refusing to use the labs’ most advanced models over unresolved questions about how their data is retained and used.

According to a recent survey, from my company, Prosper Insights & Analytics, 53.2% of executives and business owners say they already use generative AI, compared with 37.9% of employees. That gap suggests leadership is moving quickly to capture AI’s upside.

But the same executives are not blind to the risks: 40.2% are concerned AI can provide wrong information, 39.3% say it needs human oversight, and 32.0% want more disclosure and transparency around the data it uses. Adoption and skepticism are rising at the same time.

Yet only 33.8% of executives call agentic AI a good idea, while 35.7% are unsure and 30.5% say no. Even among early adopters, confidence has not caught up with capability.