60%
say AI has helped them make better decisions
84%
get a weekly insight they'd have otherwise missed
64%
of investment researchers caught a risk earlier
Two gaps, one standard
Reliability still requires substantial human effort, and companies are accountable not just for adopting AI, but for how it's used.
Gap 01 — Individual
Reliability still takes effort
Rising confidence hasn't lowered the stakes of a wrong answer, so the checking hasn't stopped. Across platforms, most users verify outputs always or often.
- 62%
- burned by at least one bad AI output
- 79%
- of AI users across platforms verify its output always or often
- 68%
- still name a manual task as their biggest time sink when searching for internal information
Gap 02 — Organizational
Oversight hasn't caught up to adoption
AI use is being encouraged faster than it's being governed — and the gap is sharpest exactly where oversight should start, at the top.
- 47%
- work somewhere AI is formally mandated or encouraged
- 51%
- use AI tools their IT department hasn't approved
- 36%
- of the C-suite runs 2+ unapproved tools — the highest of any level
- 46%
- measure AI's value mainly through productivity gains
Decision-grade AI is the standard these two gaps point toward: output a professional can check once, stand behind, and use in work they are personally accountable for.
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