Fed Governor Michael Barr said more rate hikes are likely needed, citing inflation above 2% for five-plus years and a surge in data center investment. He also urged planning now for AI job losses, casting the technology as a price pressure today and a labor risk later.
Reality
- Evidence55
- Adoption
- Insufficient
- Hype gap+10
- Incentives
- Insufficient
- Confidence60
Postings for junior tech roles in the city fell 49% between 2022 and 2025 while overall tech employment stayed flat, and the Center for an Urban Future's remedy routes first jobs through government, nonprofits and small firms.
Reality
- Evidence45
- Adoption40
- Hype gap+30
- Incentives55
- Confidence50
Maria Black's read of payroll data from more than 1 million clients moves the problem from headcount cuts to skills-based team design. ADP also happens to sell the remedy.
Reality
- Evidence38
- Adoption25
- Hype gap+20
- Incentives78
- Confidence45
Labor's share of nonfarm business output was 52.8% in the second quarter, the lowest since the series began in 1947, and the study now being read as the AI explanation for it measured just 11 highly exposed occupations.
Reality
- Evidence52
- Adoption
- Insufficient
- Hype gap+40
- Incentives55
- Confidence55
The three scenarios in Anthropic's new interactive model carry no probabilities and leave out recessions, policy and robots. The factor-share arithmetic inside them is still the part an allocator can use.
Reality
- Evidence45
- Adoption10
- Hype gap+10
- Incentives60
- Confidence52
The Anthropic Institute's three scenarios for 2030 run from half a point of extra GDP growth to 15% a year. The interactive model behind them makes you supply the missing variable, which is how much of what AI can do actually gets used.
Reality
- Evidence42
- Adoption
- Insufficient
- Hype gap+22
- Incentives76
- Confidence48
The middle case in Anthropic's new model puts US GDP at $36.3 trillion by 2030 with knowledge-worker pay flat, and what separates flat pay from a 10% cut is how quickly displaced people find other work.
Reality
- Evidence46
- Adoption
- Insufficient
- Hype gap+34
- Incentives66
- Confidence52
The Economics team's scenario explorer only turns ugly for knowledge workers once growth outruns anything in economic history. That is a demanding assumption to bury inside a headcount reduction plan.
Reality
- Evidence42
- Adoption
- Insufficient
- Hype gap+15
- Incentives72
- Confidence58
A commissioned YouGov survey puts U.S. AI displacement near 3%, with a sampling band about two points wide, and it excludes everyone currently out of work, which is precisely where the labor savings would be hiding.
Reality
- Evidence44
- Adoption24
- Hype gap+18
- Incentives42
- Confidence58
The central bank ties 268,000 of a 285,000 fall in jobs for 15- to 29-year-olds to AI-exposed industries. Exposure is not causation, but the vanishing rung it describes is real.
Reality
- Evidence42
- Adoption
- Insufficient
- Hype gap+24
- Incentives58
- Confidence37
AI-related capital spending added 1.1 points to US GDP growth in the first half of 2025, more than the consumer. That puts a handful of build plans inside every operator's baseline.
Reality
- Evidence42
- Adoption52
- Hype gap+12
- Incentives38
- Confidence46
Economist Gad Levanon checked task-based AI risk models against government employment data. The occupations rated most exposed grew, and the ones rated safe contracted.
Reality
- Evidence34
- Adoption
- Insufficient
- Hype gap+22
- Incentives66
- Confidence38