100
Number 1
22
Number 2
44
Number 3
- Test
- Test2
- Leadership is misreading reality. C-level executives are on average 2.3 times more likely than frontline specialists to describe their organization positively on every dimensions we tested. The gap is widest on trust in AI, where it reaches 47 percentage points. The leaders best positioned to fix the problem are the least likely to see it.
- Adoption is a vanity metric. Only 7% of organizations see significant AI impact across every dimension measured, despite AI touching 39% of daily operations on average. Adoption and value are structurally decoupled. The differentiator is not how much AI you run. It is what you have built around it.
- Trust breaks in the last mile. 74% of respondents discard at least 40% of the AI recommendations they receive. The cause is not accuracy. It is the absence of clear guidance and defined accountability. Where guidance is clear and widely known, the number falls to 54%. Where there is high confidence and trust in AI, it falls to 47%.
- How you build AI capability matters as much as whether you build it. Frontline confidence reaches 56% where AI is embedded in daily workflows, versus 15% with standalone training. Employees with high confidence in AI also give their employer an NPS of +91, compared to +26 for those without it.
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