If AI is everywhere, why isn’t the impact evenly distributed?
If you wanted a single question that captured the mood at SapioCon 2026, it was this: if AI is everywhere, why isn’t the impact evenly distributed?
Becky Upton, president and CEO of the Pistoia Alliance, and Mike Hampton, Sapio’s chief commercial officer, came at the answer from different directions but landed in the same place. Upton brought the industry-level view: AI investment is accelerating, but enterprise-wide impact remains uneven. Hampton brought the lab-level reality: science has outgrown the tools scientists rely on every day.
The implication is uncomfortable but useful. Most organizations are not stuck because AI tools do not exist. They are stuck because workflows, data practices and day-to-day operating habits were not built to carry AI-enabled work end to end, with enough context and traceability to support decisions teams will stand behind later.
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