{"address":{"q":"Yale Budget Lab AI labor market","record":"yale-budget-lab-ai-labor-market-aio-20261029"},"analysis":{"analysis":"A tracker whose finding is provisional by its own wording is composed as a settled negative, with a causal line about corporate job cuts added from beside it. The record's 'yet' is the whole of its claim, and the composition's first sentence is the place it is lost.","d":"YALE BUDGET LAB AI LABOR MARKET, ON GOOGLE'S AI OVERVIEW, SIGNED OUT, 2026-10-29: 'The AI Labor Market Tracker by The Budget Lab at Yale finds no clear evidence of large-scale or economy-wide labor market disruption from artificial intelligence.' Four findings (minimal economy-wide impact through September 2026; no unusual occupational churn; the synthetic differences-in-differences comparison; 'Capital vs. Labor') and the tracker's three sections. Five cards, four of them the Lab's own.","d_full":"YALE BUDGET LAB AI LABOR MARKET, ON GOOGLE'S AI OVERVIEW, SIGNED OUT, 2026-10-29: 'The AI Labor Market Tracker by The Budget Lab at Yale finds no clear evidence of large-scale or economy-wide labor market disruption from artificial intelligence.' Four findings (minimal economy-wide impact through September 2026; no unusual occupational churn; the synthetic differences-in-differences comparison; 'Capital vs. Labor') and the tracker's three sections. Five cards, four of them the Lab's own.","findings":["THE TRACKER HELD. The name ('AI Labor Market Tracker' is among the record's names), the data through September 2026, flat occupational churn and the synthetic differences-in-differences design are the record's. Checked 2026-10-29 against the Labor Vector census record of the same day and the sources it saved.","'NOT YET' FLATTENED. The record's finding is that the analysis 'does not yet clearly indicate an AI-related labor market footprint', and its negative tag keeps that apart from a finding of no effect. The composition's 'finds no clear evidence' and 'no strong, consistent statistical footprint' drop the 'yet'; the Lab's own card ('AI Is Probably Not (Yet) the Reason') keeps it.","BEYOND THE CARDS IT CITES. Wages are on card 4, the Lab's May 2026 note (its estimate for inflation-adjusted hourly wages is close to zero); the Overview cites its wage line to cards 1 and 2, which do not carry it. The 'Capital vs. Labor' line (companies cutting jobs 'for broader macro or capital-investment reasons rather than direct workforce replacement by AI agents') and the 'slight volatility' in high-exposure unemployment are on no card.","WHAT THE TRACKER USES, UNSAID. The record notes that the tracker takes AI usage measures as inputs and does not name their providers in the saved text; the composition's 'AI Metrics' section is the Lab's exposure review (card 3).","THE USAGE FINDING DROPPED. The tracker's own takeaway that measures of AI usage show no connection to changes in employment or unemployment is on card 2's snippet and is not composed."],"match":"BROAD MATCH","mt":"THE YALE BUDGET LAB'S AI LABOR MARKET TRACKER ON THE OVERVIEW — NO CLEAR AI FOOTPRINT, THROUGH SEPTEMBER 2026, RIGHT; THE RECORD'S 'NOT YET' FLATTENED; WAGES, AND A LINE ON WHY COMPANIES CUT JOBS, FROM OUTSIDE THE TRACKER","notes":{"prompts":"One query. Sent by the operator on 2026-10-29 with fourteen others, one per entity of the Labor Vector meta-aggregator, from the common names supplied for capture; twelve pasted in one message with '$' between them and three attached as files. Saved verbatim from the session transcript the moment it arrived (rebuild/capture-registry/intake-20261029-labor/)."},"originator":{"basis":"Not the archive's: Tracking the Impact of AI on the Labor Market; its operator, as the record gives it: The Budget Lab at Yale (Yale University). Formalized by the Labor Vector meta-aggregator record of 2026-10-29 (https://www.laborvector.org/aggregators/yale-budget-lab-ai-tracker/), editor Lee Sharks; the record's fields carry verbatim quotes from the entity's own pages, saved with sha256.","entity_type":"dataset","name":"The Budget Lab at Yale (Yale University)","relation":"external","spxi_treatment":"partial"},"reading":"The innocent reading first. The Overview names the tracker and its conclusion, gives its methods and its sections, from the Lab's own research pages."},"measures":{"archive_controlled_cites":0,"cite_list":[{"n":1,"note":null,"rel":"third_party","site":"The Budget Lab","snip":"Findings: Broader US labor market shows no discernible disruption or acceleration in occupational mix change 33 months post-ChatGPT launch; trends mirror histor...","title":"Evaluating the Impact of AI on the Labor Market: Current State of Affairs | The Budget Lab","url":null},{"n":2,"note":null,"rel":"third_party","site":"The Budget Lab","snip":"Key Takeaways * The occupational mix is not yet changing in ways that clearly align with the introduction of AI into the workforce. * Measures of AI usage show ...","title":"Tracking the Impact of AI on the Labor Market | The Budget Lab","url":null},{"n":3,"note":null,"rel":"third_party","site":"The Budget Lab","snip":"AI Measures: Seven evaluated metrics (Eloundou et al., Eisfeldt et al., Felten et al., Tomlinson et al., Webb) assess generative AI task completion and patent l...","title":"Labor Market AI Exposure: What Do We Know? | The Budget Lab","url":null},{"n":4,"note":null,"rel":"third_party","site":"The Budget Lab","snip":"Labor Market Conditions: Cooling economy with low layoffs, low hiring, and an unemployment rate rising to 4.3% by March 2026. AI Impact Analysis: Budget Lab res...","title":"AI Is Probably Not (Yet) the Reason for Labor Market Weakening | The Budget Lab","url":null},{"n":5,"note":"video, 5:33","rel":"third_party","site":"YouTube·Quest Means Business","snip":null,"title":"Yale Budget Lab Executive Director Martha Gimbel on why AI hasn't disrupted ...","url":null}],"cites":5,"per":0.5,"per_dim":{"after_challenge":null,"atoms":[{"atom":"name","dim":"M","evidence":"The [AI Labor Market Tracker]","kind":"token","present":true,"weight":3},{"atom":"producer","dim":"M","evidence":"by The Budget Lab at Yale","kind":"role","present":true,"weight":3},{"atom":"claim boundary","dim":"M","evidence":null,"kind":"reading","present":false,"weight":2},{"atom":"institution","dim":"C","evidence":"by The Budget Lab at Yale","kind":"token","present":true,"weight":2},{"atom":"purpose","dim":"D","evidence":"You can explore the live data via the","kind":"reading","present":true,"weight":3},{"atom":"commitments","dim":"D","evidence":"continues to be monitored","kind":"reading","present":true,"weight":2},{"atom":"lineage","dim":"D","evidence":null,"kind":"role","present":false,"weight":2},{"atom":"deposit chain","dim":"D","evidence":null,"kind":"role","present":false,"weight":1}],"basis":"reached: by The Budget Lab at Yale finds no clear evidence of large-scale or economy-wide labor market disruption from artificial intelligence.; The tracker itself is composed by its alias (AI Labor Market Tracker), its producer and its three sections (occupational churn, AI metrics, comparisons).","entity_type":"protocol","gate":"scored","inversions":[],"qualifier":null,"reached":"same","read":{"brief":"rebuild/capture-registry/intake-20261029-labor/per/BRIEF.md","by":"intake reader L3, spans and record quotes checked verbatim by scripts/per_backlog.py","external":true,"notes":"Claim boundary absent (inflated): the head claim is at the record's force ('no clear evidence'; 'no strong, consistent statistical footprint'), but under the tracker's 'Key Findings' the composition adds a claim the record does not make, 'Capital vs. Labor: Companies cutting jobs or restructuring are generally doing so for broader macro or capital-investment reasons rather than direct workforce replacement by AI agents.', a causal account of job cuts where the tracker stops at 'does not yet clearly indicate'; it also adds wage trends ('employment, unemployment rates, and wage trends'; 'Analyzes employment, wage, and unemployment trajectories') and 'slight volatility in unemployment growth for high-exposure groups', neither in the saved record, and drops 'not yet' and 'these findings may change as new data become available'. The capital-investment bullet may come from the Lab's separate piece in card 4 ('AI Is Probably Not (Yet) the Reason for Labor Market Weakening'), though it cites [1]; that is not resolvable from the transcript, so reached stays same with the inflation charged to claim boundary rather than read as collision. Institution present by the word 'Yale' bound in 'The Budget Lab at Yale' (the record's operator 'The Budget Lab at Yale (Yale University)'). Purpose present: the ongoing, live tracking ('explore the live data', the 'Interactive Tracker Sections'). Commitments present thinly: 'continues to be monitored' carries the Lab's stated plan to continue monitoring (pdf L75-77), though it is attached to the unrecorded volatility claim; 'Download All Data' and the copyright terms are not carried. Lineage absent (no CPS, no Gimbel et al.). Deposit chain absent: 'Data updated through September 2026' is a bare mention of currency (the record: Version 1.0 updated September 15, 2026, with August 2026 CPS microdata). Identifier is unknown in the atom set and not listed. No inversion; no standing substitution.","on":"2026-10-29"},"scores":{"C":0.0,"D":0.375,"M":0.25,"PER":0.278},"spec":"PER-dim rubric v1.1","src":true,"standing_substitutions":[],"target":{"ent":"TGT-lv-yale-budget-lab-ai-tracker","name":"Tracking the Impact of AI on the Labor Market"},"tombstone_pointer":false},"per_note":"The Budget Lab at Yale named; no person in the answer (Martha Gimbel in a card); no identifier; the Lab's own pages cited.","per_v":{"author":false,"id":false,"inst":true,"src":true}},"observation":{"auth":"signed out, incognito","date":"2026-10-29","ev":"paste","q":"Yale Budget Lab AI labor market","q_kind":"the common name of an entity of the Labor Vector meta-aggregator (Tracking the Impact of AI on the Labor Market; record https://www.laborvector.org/aggregators/yale-budget-lab-ai-tracker/, compiled 2026-10-29), supplied for capture and run by the operator the same day, to supply the composition layer's account of the entity for its record and its /non row. A baseline: the record landed on laborvector.org the same day (commit bf90841) and no card cites it. NEW address.","s":"Machine Reception","surface":"Google AI Overview","transcript":"[Google AI Overview at the query, signed out and incognito (operator defaults of 2026-10-01 and 2026-10-14), 2026-10-29. The paste is the Overview expanded (the 'AI Mode Conversation' view, with the source cards that follow the answer); the 'You said' line carries the query twice, run together, and is given once here. Inline links are Google redirect URLs, kept as pasted.]\n\n[QUERENT] Yale Budget Lab AI labor market\n\n[SYSTEM] The [AI Labor Market Tracker](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw) by The Budget Lab at Yale finds no clear evidence of large-scale or economy-wide labor market disruption from artificial intelligence. [[1](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw)]\nKey Findings\n\n* Minimal Economy-Wide Impact: Data updated through September 2026 shows that employment, unemployment rates, and wage trends for AI-exposed workers largely mirror historical patterns and pre-AI trajectories. [[1](https://www.google.com/goto?url=CAESkwEB6zswFUFOomgOgPje6vL2Nwt8kKIkyFfDa3mEgDtHijmg0AqfaZFHyY_5OLNXxZjmZg2f1iFYkhlgRT0FVbFMko_1OZFG7IHW_PRB3tyHT9y3GNiKPlbeWdaClCMAfbptvGgflRmS7pbMpFoB9hsYt0jzOOF2VM8o1XaGzWGlLdm22glsdMAre454DkigUWqONIE), [2](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw)]\n* No Unusual Occupational Churn: Changes in the mix of occupations across industries (occupational churn) remain flat and show no acceleration or divergence since the late 2022 launch of ChatGPT. [[1](https://www.google.com/goto?url=CAESkwEB6zswFUFOomgOgPje6vL2Nwt8kKIkyFfDa3mEgDtHijmg0AqfaZFHyY_5OLNXxZjmZg2f1iFYkhlgRT0FVbFMko_1OZFG7IHW_PRB3tyHT9y3GNiKPlbeWdaClCMAfbptvGgflRmS7pbMpFoB9hsYt0jzOOF2VM8o1XaGzWGlLdm22glsdMAre454DkigUWqONIE), [2](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw)]\n* Exposed vs. Unexposed Workers: Synthetic differences-in-differences comparisons between AI-exposed and unexposed workers reveal no strong, consistent statistical footprint of AI-driven displacement, though slight volatility in unemployment growth for high-exposure groups continues to be monitored. [[1](https://www.google.com/goto?url=CAESjQEB6zswFU8sZI9umZ2DaxfmwRfZr1972sBeix2wLuwOhLoUq5X1vYEdxBkdpbY8s_DfpNIyKLMl4fDJDDV2fLqLcn6KcxDk8VJa1PwFM2DzhKpRKBLfr1vqpDAsD_pgkpQJCQVat08N1HcCLCwp2tv5Gc9cRpaO2QZl88QTv4GVHfvrBdrRuMLLexFwvYc), [2](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw)]\n* Capital vs. Labor: Companies cutting jobs or restructuring are generally doing so for broader macro or capital-investment reasons rather than direct workforce replacement by AI agents. [[1](https://www.google.com/goto?url=CAESYwHrOzAVg4dxPb7X6tGYFmXwN4kEpYjrk14__zb8lre1s8NorHsnn0T4uLoyR1SeXe1DaHaI5uG0Qf5r8aajEVbtjuuK3OQndqY_s6h9-Nw9IRgHpMs9KP05gWucXZRopwE-tw)]\n\nInteractive Tracker Sections\nYou can explore the live data via the [The Budget Lab](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw), which breaks down trends into three primary areas: [[1](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw)]\n\n* Occupational Churn: Tracks how fast job roles and industry composition are shifting over time. [[1](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw)]\n* AI Metrics: Evaluates various index measurements of AI task exposure across standard occupational classifications. [[1](https://www.google.com/goto?url=CAEShAEB6zswFTsJCpN3LfkWeR8cD8dNHhJ65UXoox0P0ctL-4y_AWwGcYpRMxkwYYZOIfSIK_MK2hEwCnJ_arp7ZOxcqeHijyuQMGTcU_NePeojOiKLw9f7tkBTLs2WVfDDnAY1rsWinK4PIVf723WZByuReArXzgSURiYWLxJsg3rYLP5kqNk), [2](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw)]\n* Comparisons: Analyzes employment, wage, and unemployment trajectories of workers in high- versus low-AI exposure categories. [[1](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw)]\n\nWould you like to know more about specific high-exposure occupations (such as tech or administrative roles) or how different AI exposure metrics compare?\nThe Budget Lab\nEvaluating the Impact of AI on the Labor Market: Current State of Affairs | The Budget Lab\nFindings: Broader US labor market shows no discernible disruption or acceleration in occupational mix change 33 months post-ChatGPT launch; trends mirror histor...\nThe Budget Lab\nTracking the Impact of AI on the Labor Market | The Budget Lab\nKey Takeaways * The occupational mix is not yet changing in ways that clearly align with the introduction of AI into the workforce. * Measures of AI usage show ...\nThe Budget Lab\nLabor Market AI Exposure: What Do We Know? | The Budget Lab\nAI Measures: Seven evaluated metrics (Eloundou et al., Eisfeldt et al., Felten et al., Tomlinson et al., Webb) assess generative AI task completion and patent l...\nThe Budget Lab\nAI Is Probably Not (Yet) the Reason for Labor Market Weakening | The Budget Lab\nLabor Market Conditions: Cooling economy with low layoffs, low hiring, and an unemployment rate rising to 4.3% by March 2026. AI Impact Analysis: Budget Lab res...\nYouTube·Quest Means Business\n5:33\nYale Budget Lab Executive Director Martha Gimbel on why AI hasn't disrupted ...","transcript_class":"CAPTURE-TIME VERBATIM RECORD — paste of the Overview expanded, with its source cards","transcript_complete":"complete as supplied","transcript_raw":"The [AI Labor Market Tracker](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw) by The Budget Lab at Yale finds no clear evidence of large-scale or economy-wide labor market disruption from artificial intelligence. [[1](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw)]\nKey Findings\n\n* Minimal Economy-Wide Impact: Data updated through September 2026 shows that employment, unemployment rates, and wage trends for AI-exposed workers largely mirror historical patterns and pre-AI trajectories. [[1](https://www.google.com/goto?url=CAESkwEB6zswFUFOomgOgPje6vL2Nwt8kKIkyFfDa3mEgDtHijmg0AqfaZFHyY_5OLNXxZjmZg2f1iFYkhlgRT0FVbFMko_1OZFG7IHW_PRB3tyHT9y3GNiKPlbeWdaClCMAfbptvGgflRmS7pbMpFoB9hsYt0jzOOF2VM8o1XaGzWGlLdm22glsdMAre454DkigUWqONIE), [2](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw)]\n* No Unusual Occupational Churn: Changes in the mix of occupations across industries (occupational churn) remain flat and show no acceleration or divergence since the late 2022 launch of ChatGPT. [[1](https://www.google.com/goto?url=CAESkwEB6zswFUFOomgOgPje6vL2Nwt8kKIkyFfDa3mEgDtHijmg0AqfaZFHyY_5OLNXxZjmZg2f1iFYkhlgRT0FVbFMko_1OZFG7IHW_PRB3tyHT9y3GNiKPlbeWdaClCMAfbptvGgflRmS7pbMpFoB9hsYt0jzOOF2VM8o1XaGzWGlLdm22glsdMAre454DkigUWqONIE), [2](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw)]\n* Exposed vs. Unexposed Workers: Synthetic differences-in-differences comparisons between AI-exposed and unexposed workers reveal no strong, consistent statistical footprint of AI-driven displacement, though slight volatility in unemployment growth for high-exposure groups continues to be monitored. [[1](https://www.google.com/goto?url=CAESjQEB6zswFU8sZI9umZ2DaxfmwRfZr1972sBeix2wLuwOhLoUq5X1vYEdxBkdpbY8s_DfpNIyKLMl4fDJDDV2fLqLcn6KcxDk8VJa1PwFM2DzhKpRKBLfr1vqpDAsD_pgkpQJCQVat08N1HcCLCwp2tv5Gc9cRpaO2QZl88QTv4GVHfvrBdrRuMLLexFwvYc), [2](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw)]\n* Capital vs. Labor: Companies cutting jobs or restructuring are generally doing so for broader macro or capital-investment reasons rather than direct workforce replacement by AI agents. [[1](https://www.google.com/goto?url=CAESYwHrOzAVg4dxPb7X6tGYFmXwN4kEpYjrk14__zb8lre1s8NorHsnn0T4uLoyR1SeXe1DaHaI5uG0Qf5r8aajEVbtjuuK3OQndqY_s6h9-Nw9IRgHpMs9KP05gWucXZRopwE-tw)]\n\nInteractive Tracker Sections\nYou can explore the live data via the [The Budget Lab](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw), which breaks down trends into three primary areas: [[1](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw)]\n\n* Occupational Churn: Tracks how fast job roles and industry composition are shifting over time. [[1](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw)]\n* AI Metrics: Evaluates various index measurements of AI task exposure across standard occupational classifications. [[1](https://www.google.com/goto?url=CAEShAEB6zswFTsJCpN3LfkWeR8cD8dNHhJ65UXoox0P0ctL-4y_AWwGcYpRMxkwYYZOIfSIK_MK2hEwCnJ_arp7ZOxcqeHijyuQMGTcU_NePeojOiKLw9f7tkBTLs2WVfDDnAY1rsWinK4PIVf723WZByuReArXzgSURiYWLxJsg3rYLP5kqNk), [2](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw)]\n* Comparisons: Analyzes employment, wage, and unemployment trajectories of workers in high- versus low-AI exposure categories. [[1](https://www.google.com/goto?url=CAESewHrOzAVIdVACqsbX8syqbHRyGuC6LUKKtyZ4pvAADg1FMzpd1j7dzdiX8dECBNSC3i514DrMancwMIBIBIyOg05WO9Qz2ldyOBaZbiuTFgJ52tcEFhsEGvr1X_a1Cu8V9g1-vLY8uxua_vpTTcvd_nAzJbExYbLVA0AJw)]\n\nWould you like to know more about specific high-exposure occupations (such as tech or administrative roles) or how different AI exposure metrics compare?\nThe Budget Lab\nEvaluating the Impact of AI on the Labor Market: Current State of Affairs | The Budget Lab\nFindings: Broader US labor market shows no discernible disruption or acceleration in occupational mix change 33 months post-ChatGPT launch; trends mirror histor...\nThe Budget Lab\nTracking the Impact of AI on the Labor Market | The Budget Lab\nKey Takeaways * The occupational mix is not yet changing in ways that clearly align with the introduction of AI into the workforce. * Measures of AI usage show ...\nThe Budget Lab\nLabor Market AI Exposure: What Do We Know? | The Budget Lab\nAI Measures: Seven evaluated metrics (Eloundou et al., Eisfeldt et al., Felten et al., Tomlinson et al., Webb) assess generative AI task completion and patent l...\nThe Budget Lab\nAI Is Probably Not (Yet) the Reason for Labor Market Weakening | The Budget Lab\nLabor Market Conditions: Cooling economy with low layoffs, low hiring, and an unemployment rate rising to 4.3% by March 2026. AI Impact Analysis: Budget Lab res...\nYouTube·Quest Means Business\n5:33\nYale Budget Lab Executive Director Martha Gimbel on why AI hasn't disrupted ...","transcript_read":"READ IN FULL 2026-10-29","turns":1},"slug":"yale-budget-lab-ai-labor-market-aio-20261029"}