The “AI Trust Barrier” is real – and it’s costing companies their competitive edge
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- Data and security concerns are the top factors eroding trust (34%), followed by a lack of explainability (30%) and AI model transparency (28%)
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- The ability to articulate AI outputs and data guardrails has emerged as a non-negotiable requirement for solution providers
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- Nearly half (46%) of planned AI investments are currently stalled due to trust concerns—providing a clear blueprint for how vendors must evolve to win
SAN JOSE and SAN LUIS OBISPO – April 15, 2026: Heal, a San Jose, CA based health tech company…
Trust barriers preventing adoption of unproven AI tools identified
The survey uncovered several barriers preventing companies from adopting AI solutions from providers that had failed to allay their concerns:
| Overall | US | UK | |
|---|---|---|---|
| Data 1 | 34% | 36% | 31% |
| Data 2 | 30% | 30% | 31% |
| Data 3 | 28% | 28% | 28% |
| Data 4 | 27% | 27% | 27% |
Methodology
This is our methodology.
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