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AI Productivity Measurement

How organizations count AI benefit - throughput and time saved - and what those metrics fail to capture about workforce capability.

Current stories

investOne report1 publisher

Kevin Hassett's 4% growth forecast doubles the private-sector estimate

Kevin Hassett, the White House's top economic adviser, projected baseline US growth of about 4%, roughly double the 2% private forecasters expect. A company budgeting off official figures is using a forecast that rests on AI gains he says the statistics have not yet picked up.

Reality

Evidence30
Adoption
Not scored
Hype gap+45
Incentives65
Confidence35
buildOne report1 publisher

UnearthInsight traces 60% of Indian IT's revenue-per-employee gain to headcount

Revenue per employee rises when the denominator falls. Last quarter India's five IT majors moved that denominator in both directions at once. The analyst firm behind the sector's seven-year series says the ratio leaves automation and layoffs indistinguishable.

Publishers:dev.to

Reality

Evidence52
Adoption55
Hype gap+25
Incentives62
Confidence45
leadershipOne report1 publisher

Non-engineers at OpenAI hit 40% Codex adoption while the app still showed them code

Gergely Orosz's visit found finance, recruitment and legal teams going from roughly zero to 90% Codex use in four months, with almost half of that arriving before anyone made the tool comfortable for them.

Reality

Evidence48
Adoption58
Hype gap+30
Incentives68
Confidence45
investOne report1 publisher

Meta abandoned its most aggressive AI-driven staffing cuts after checking its own coding data

Project OT sketched an AI-native Meta with much smaller teams and fewer management layers, and Zuckerberg has been using a CEO agent to skip several of them. The internal coding numbers did not follow.

Publishers:fortune.com

Reality

Evidence27
Adoption20
Hype gap+38
Incentives62
Confidence33
buildOne report1 publisher

Zuckerberg killed Meta's November AI reorg hours before the May layoffs ran

Reuters reports that Meta's OT plan modelled cutting some teams by 60 percent and putting small human crews over agent workflows, while internal indicators said the agents were not delivering the productivity the plan assumed.

Publishers:mezha.net

Reality

Evidence48
Adoption42
Hype gap+28
Incentives66
Confidence46
leadershipOne report1 publisher

The AI Stack Isn't Finished, So Stop Building as Though It Is

Adoption has outrun the personal computer and the internet, yet the technological and institutional foundation stays unsettled. The move is to buy optionality, not lock in architecture.

Reality

Evidence42
Adoption58
Hype gap+8
Incentives40
Confidence45
investOne report1 publisher

The $2.7tn AI offset reaches 0.1% into the countries paying the energy bill

IMF economists put AI's annual time savings at $2.7tn, with 96% landing in high-income countries. The war-driven energy inflation Georgieva describes lands hardest somewhere else.

Reality

Evidence32
Adoption48
Hype gap+30
Incentives58
Confidence34
productOne report1 publisher

The productivity dashboard cannot see the cost MIT measured

An EEG study found LLM-assisted writers did worse once the tool was taken away. That deficit only shows up outside the window where throughput is counted.

Publishers:thenextweb.com

Reality

Evidence30
Adoption
Not scored
Hype gap+38
Incentives62
Confidence34