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The Real Reason Enterprise AI Adoption Is Moving Slower Than Everyone Expected

Eye on AI3 July 2026Watch on YouTube

Part of series

Ep. 13 · Devvret Model Rishi

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Description

Enterprise AI adoption is moving much slower than almost anyone predicted. And the reason isn't the technology. It's trust. AI systems from the expert system era - the ones enterprises relied on for decades - were deterministic. You put in an input, you got a predictable output, every single time. That's what large organizations are built around: knowing what the answer is going to be before you commit to it. Generative AI doesn't work that way. It's probabilistic. It produces answers that are often excellent - but not guaranteed, not predictable, not always the same twice. And for an enterprise that's managing customer relationships, financial decisions, or sensitive workflows, "often excellent" isn't the same as "trustworthy enough to deploy." That's the trust gap. Does the shift from deterministic to probabilistic AI concern you, or do you think enterprises are being too cautious? Full conversation with Alberto Pan, Chief Technical Officer at Denodo, on Eye on A.I.

What you'll learn

  • Enterprise AI adoption is slower mainly due to trust concerns, not technological limitations
  • Traditional deterministic AI systems provide predictable outputs, while generative AI is probabilistic with no guaranteed results
  • For large organizations managing customer relationships and financial decisions, 'often excellent' isn't reliable enough for deployment

Frequently asked questions

What is the difference between deterministic and probabilistic AI systems?
Deterministic AI systems, which enterprises have relied on for decades, produce the same predictable output every time for a given input. Probabilistic generative AI, by contrast, produces varying answers that are often excellent but not guaranteed or consistent.
Why is the 'trust gap' a problem for enterprises?
Large organizations are built around knowing the answer in advance before committing to decisions. For critical processes like customer management and financial decisions, the unpredictability of generative AI represents an unacceptable risk.
Does technology play a role in slow enterprise AI adoption?
No, the video makes clear that slow adoption is not a technology issue but a trust problem arising from generative AI's inability to provide the same certainty as traditional deterministic systems.

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