Paralegals used an AI tool 58% more when managers backed a better-job pitch with time and training
Law firm paralegals used the same AI tool 58% more when their manager pitched it as job enrichment and funded training and time, a Stanford-led study found. The pitch and the budget arrived together, so this evidence speaks only to a launch memo that comes with protected hours.
Publishers:hai.stanford.edu
Reality
- Evidence45
- Adoption
- Not scored
- Hype gap+30
- Incentives40
- Confidence45
HarperCollins, Simon & Schuster and Hachette use LLMs for agent emails and book copy without author consent, more than two dozen workers told Wired. At one HarperCollins AI session, the person leading it dismissed staff objections as "the cost of doing business," according to an attendee.
Reality
- Evidence50
- Adoption45
- Hype gap+20
- Incentives55
- Confidence55
Almost half of US employees surveyed by Visier said they have exaggerated how much they use AI or how expert they are with it. Visier links it to mandates and peer comparison, so leaders who gauge adoption from staff reports are partly counting a performance.
Reality
- Evidence55
- Adoption50
- Hype gap+15
- Incentives55
- Confidence60
Eagle Hill poll links missed tech returns to underestimated changes in daily work
Eagle Hill Consulting found 51% of 200 senior US leaders say recent technology investments fell short of their intended outcomes. The reason they gave most often was underestimating how the new tools would change day-to-day work.
Reality
- Evidence40
- Adoption
- Not scored
- Hype gap+15
- Incentives55
- Confidence45
PwC's survey of almost 50,000 workers finds 14% pulling ahead on AI, while fewer than 40% of its 56% 'engine room' report access to learning resources. It cannot prove training causes the gap, but it puts that majority at the centre of the next AI spending decision.
Perspective Coverage
3 publishers
- Builder
- Builder 8%
- Operator
- Operator 72%
- Investor
- Investor 20%
Reality
- Evidence55
- Adoption45
- Hype gap+20
- Incentives60
- Confidence60
Daily AI users who trust their employer least were about four times as likely to hide their methods
USC researchers surveying 604 daily AI users found the least trusting quarter about four times as likely as the most trusting to have hidden their methods. The data are correlational, so they show who holds back but not whether building trust would change it.
Reality
- Evidence38
- Adoption
- Not scored
- Hype gap+20
- Incentives30
- Confidence42
HR teams are asking AI what to flag in a manager's draft review
A Gartner survey found 87% of employees thought an algorithm could judge them more fairly than their manager. The tools large employers deployed draft and edit the review instead, so the governance question is authorship.
Reality
- Evidence24
- Adoption22
- Hype gap+15
- Incentives82
- Confidence45
Employers introduced only 55 percent of the AI tools their staff use most often
The third wave of the Konstanz AI study surveyed 1,105 employees in May 2026 and put workplace AI use at 38 percent, a three-point rise that sits inside the sample's own error bar. Just over half of the tools those users reach for came in through the employer.
Reality
- Evidence60
- Adoption45
- Hype gap+15
- Incentives40
- Confidence55
Wharton's agency decay scale tracks how a team slides from testing AI to depending on it
Wharton's Scale of Agency Decay runs experimenting, integrating, relying, depending. The account details the first two, and its usable marker is whether people still overrule a system that contradicts them.
Reality
- Evidence55
- Adoption60
- Hype gap+25
- Incentives55
- Confidence50
Agent-to-agent email is already here. The disclosure rule is not.
A Fast Company essay describes an agent's email answered by a chatbot draft. With 51% of AI users at work using it to write, default behavior will set the norm unless someone writes one down.
Reality
- Evidence34
- Adoption44
- Hype gap+24
- Incentives66
- Confidence38