{
 "row": "yale-budget-lab-ai-tracker",
 "address": "Yale Budget Lab AI labor market",
 "addresses": [
  "Yale Budget Lab AI labor market"
 ],
 "extracted": "2026-10-29",
 "extractor": "Claude (Opus 5.5), subagent, one extractor (unaudited, §3.8)",
 "rule": "v0.9 §3.5, source-neutral: opening or key takeaways, defined terms and methods, headline findings, stated limits; quotes verbatim from the saved page texts (whitespace-normalised for the check; multi-part quotes joined by ' … ', each part checked), the census's PDF text, the Wikipedia response summary and raw wikitext, or the card's title for the unreachable video card; 56/56 verified by script",
 "B_note": "The field B (§0.4, §3.1(a)), three origins kept apart: 'card', every card on the transcript's rail (B1 the Lab's first report of 1 October 2025; B2 the tracker page; B3 the Lab's exposure review; B4 the State of the Economy note; B5 a Quest Means Business video, unreachable); 'own_page', the census's own pages that T did not surface (B6, the tracker's PDF, copied from the census's saved copy; B7, the September CPS update page, which the census records as 403 and is unread; the census's other own page, the tracker page, is card B2, byte-identical, carried once as a card); 'wikipedia', no article (B8), with the one article that cites the first report. No third-party source was read by the census (every evidence basis is 'operator'), so there is no 'census_third_party' origin in this row. All four of the reachable cards are the operator's own pages; no card is a homonym.",
 "lineage_note": "Lineages: what it is: the Lab's ongoing tracker of AI's impact on the labor market (B6); the operator and the authors (B1, B2, B4); the analysis it continues: the first report and its documentation (B1, B3, B6); updates, versions and data access (B1, B2, B6); the unit: three sections on monthly CPS data (B6); method: occupational dissimilarity, and synthetic differences-in-differences (B1, B4); headline: no clear economy-wide disruption (B1); finding: the occupational mix (B1, B2); finding: exposure and usage against employment and unemployment (B1, B2); finding: exposed against unexposed workers, employment and wages (B2, B4); the September 2026 update (B6); recent college graduates (B1); the labor market around it (B4); the limit: not yet, and the findings may change (B1, B3, B4, B6); exposure metrics: what they measure and what they do not (B1, B3); usage data: its source, its reach and the data the Lab asks for (B1); reception: the encyclopedia (B8); reception: broadcast (B5). The tracker's takeaways are one work in two instances (B2 the page, B6 the PDF), and the plan to update regularly one lineage across B1 and B2, the earliest instance (B1, 1 October 2025) keeping the date. The census's findings, unit, method, limit, lifecycle and data-access quotes restate B2 and B6 (one lineage each with the page).",
 "pages": "saved files under datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/ (Bn.html raw and Bn.txt text extracted with scripts and styles stripped, by the census's own extraction rule; B6.pdf and B6.txt copied from the census; B7-census-403.html the census's 403 response; B8-* the raw Wikipedia responses, B8.txt a summary of codes and notices with the cited sentence); sha256 per file in each source's 'files'",
 "field": [
  {
   "id": "B1",
   "origin": "card",
   "role": "Overview card 1",
   "card": "The Budget Lab — Evaluating the Impact of AI on the Labor Market: Current State of Affairs | The Budget Lab",
   "url": "https://budgetlab.yale.edu/research/evaluating-impact-ai-labor-market-current-state-affairs",
   "kind": "Overview card (the Lab's first report, 1 October 2025, Gimbel, Kinder, Kendall and Lee; the census's unread source yale-budget-lab-ai-tracker--first-report)",
   "files": {
    "B1.html": {
     "path": "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B1.html",
     "sha256": "065e453aacdb846ce0b085eecb9ad7d6fe6ca47902e6f1f2d68bd13dab6e189d"
    },
    "B1.txt": {
     "path": "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B1.txt",
     "sha256": "8d18c4b7761bfe5f88ec0bd09a95c80e682917a11e15d42215916f04d9afe90e"
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   },
   "fetched": {
    "at": "2026-10-29T22:30:32Z",
    "http": 200,
    "url": "https://budgetlab.yale.edu/research/evaluating-impact-ai-labor-market-current-state-affairs",
    "agent": "Mozilla/5.0 (compatible; Labor-Vector-census)",
    "raw": "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B1.html",
    "raw_sha256": "065e453aacdb846ce0b085eecb9ad7d6fe6ca47902e6f1f2d68bd13dab6e189d",
    "text": [
     "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B1.txt"
    ],
    "census_copy": {
     "src": "yale-budget-lab-ai-tracker--first-report",
     "http": "403",
     "fetched": "2026-10-29T21:49:16Z",
     "sha256": "2e2d66450aadab2d32cadd4ef1983db827783113aea5e93e2f1b8631b4d49987",
     "body": "'160.79.106.143 has been banned' (30 bytes)",
     "agrees": false
    }
   },
   "names_operator": "yes ('The Budget Lab', 'Martha Gimbel , Executive Director of the Budget Lab', '© 2026 Yale University')",
   "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, laborvector, provenanceerasure, machinemediation, EA-WG-CAPTURES-01 in the saved text, card title and snippet)",
   "note": "URL linked from the Lab's own pages (B2, B4: href to research/evaluating-impact-ai-labor-market-current-state-affairs) and confirmed by the page's canonical link and title (identical to the card title). The census recorded this page as HTTP 403 ('has been banned') at 21:49:16Z and left it unread; the card fetch with the same agent string answered 200 at 22:30:32Z. First fetch; no retry.",
   "surfaced_by_T": [
    {
     "slug": "yale-budget-lab-ai-labor-market-aio-20261029",
     "card": 1
    }
   ],
   "card_title": "Evaluating the Impact of AI on the Labor Market: Current State of Affairs | The Budget Lab",
   "card_snippet": "Findings: Broader US labor market shows no discernible disruption or acceleration in occupational mix change 33 months post-ChatGPT launch; trends mirror histor...",
   "card_note": null
  },
  {
   "id": "B2",
   "origin": "card",
   "role": "Overview card 2",
   "card": "The Budget Lab — Tracking the Impact of AI on the Labor Market | The Budget Lab",
   "url": "https://budgetlab.yale.edu/research/tracking-impact-ai-labor-market",
   "kind": "Overview card (the tracker's own page, dated 14 October 2026; the census's own page yale-budget-lab-ai-tracker--tracker)",
   "files": {
    "B2.html": {
     "path": "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B2.html",
     "sha256": "7efbd4d59a4fa6327f6051e259ffd11d84915c75f7ad3c1ddc8d4343fcb68e1c"
    },
    "B2.txt": {
     "path": "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B2.txt",
     "sha256": "94e3c0200ab0b481637721515f95fae8194879d45abff1d2f142688906a2fe87"
    }
   },
   "fetched": {
    "at": "2026-10-29T22:30:34Z",
    "http": 200,
    "url": "https://budgetlab.yale.edu/research/tracking-impact-ai-labor-market",
    "agent": "Mozilla/5.0 (compatible; Labor-Vector-census)",
    "raw": "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B2.html",
    "raw_sha256": "7efbd4d59a4fa6327f6051e259ffd11d84915c75f7ad3c1ddc8d4343fcb68e1c",
    "text": [
     "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B2.txt"
    ],
    "census_copy": {
     "src": "yale-budget-lab-ai-tracker--tracker",
     "sha256": "7efbd4d59a4fa6327f6051e259ffd11d84915c75f7ad3c1ddc8d4343fcb68e1c",
     "read": "2026-10-29",
     "http": "200",
     "agrees": true
    }
   },
   "names_operator": "yes ('The Budget Lab', 'Copyright ©2026 Yale University')",
   "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, laborvector, provenanceerasure, machinemediation, EA-WG-CAPTURES-01 in the saved text, card title and snippet)",
   "note": "URL from the census record's url field, confirmed by the page title (identical to the card title). Byte-identical to the census's saved copy (sha256 7efbd4d5…, read the same day) and its extracted text identical to the census's .txt, so the census's own page is carried once, as this card.",
   "surfaced_by_T": [
    {
     "slug": "yale-budget-lab-ai-labor-market-aio-20261029",
     "card": 2
    }
   ],
   "card_title": "Tracking the Impact of AI on the Labor Market | The Budget Lab",
   "card_snippet": "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 ...",
   "card_note": null
  },
  {
   "id": "B3",
   "origin": "card",
   "role": "Overview card 3",
   "card": "The Budget Lab — Labor Market AI Exposure: What Do We Know? | The Budget Lab",
   "url": "https://budgetlab.yale.edu/research/labor-market-ai-exposure-what-do-we-know",
   "kind": "Overview card (the Lab's exposure review, 19 February 2026, Gimbel, Kendall and Kulsakdinun: the 'Gimbel, Kendall, and Kulsakdinun (2026)' the tracker cites)",
   "files": {
    "B3.html": {
     "path": "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B3.html",
     "sha256": "c17cecc68b86f6562b742b51d4cc0c8c335c304105c60b5da803da33843e7e4a"
    },
    "B3.txt": {
     "path": "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B3.txt",
     "sha256": "5a37e388f7ec1f93c495cb637507058db4944dbf9effc3f647385f0d34db391d"
    }
   },
   "fetched": {
    "tries": [
     {
      "at": "between 2026-10-29T22:30:34Z and 22:31:34Z",
      "http": 403,
      "bytes": 30,
      "url": "https://budgetlab.yale.edu/research/labor-market-ai-exposure-what-do-we-know",
      "result": "refused (403, 30 bytes); the body was written to a scratch probe file that the next probe overwrote, so it is not kept; the Lab's server answered other refusals that minute with '<ip> has been banned'"
     },
     {
      "at": "2026-10-29T22:34:11Z",
      "http": 200,
      "url": "https://budgetlab.yale.edu/research/labor-market-ai-exposure-what-do-we-know",
      "sha256": "c17cecc68b86f6562b742b51d4cc0c8c335c304105c60b5da803da33843e7e4a",
      "result": "the page (canonical link and og:title confirm the card title)"
     }
    ],
    "agent": "Mozilla/5.0 (compatible; Labor-Vector-census)",
    "raw": "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B3.html",
    "raw_sha256": "c17cecc68b86f6562b742b51d4cc0c8c335c304105c60b5da803da33843e7e4a",
    "text": [
     "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B3.txt"
    ]
   },
   "names_operator": "yes ('The Budget Lab', the authors at the Lab)",
   "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, laborvector, provenanceerasure, machinemediation, EA-WG-CAPTURES-01 in the saved text, card title and snippet)",
   "note": "URL linked from the Lab's own pages (B1, B4 href to research/labor-market-ai-exposure-what-do-we-know); two WebSearches on the title returned other Budget Lab pages. First fetch refused (HTTP 403); one later fetch with the same agent string and the same command answered 200. No other agent string or route was tried.",
   "surfaced_by_T": [
    {
     "slug": "yale-budget-lab-ai-labor-market-aio-20261029",
     "card": 3
    }
   ],
   "card_title": "Labor Market AI Exposure: What Do We Know? | The Budget Lab",
   "card_snippet": "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...",
   "card_note": null
  },
  {
   "id": "B4",
   "origin": "card",
   "role": "Overview card 4",
   "card": "The Budget Lab — AI Is Probably Not (Yet) the Reason for Labor Market Weakening | The Budget Lab",
   "url": "https://budgetlab.yale.edu/research/ai-probably-not-yet-reason-labor-market-weakening",
   "kind": "Overview card (the Lab's State of the Economy note, Ryan Nunn, 7 May 2026, introducing the synthetic differences-in-differences analysis)",
   "files": {
    "B4.html": {
     "path": "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B4.html",
     "sha256": "e0811bd485fd98cd911e56de07abb47e9487b57695f51547a50c5399d2165210"
    },
    "B4.txt": {
     "path": "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B4.txt",
     "sha256": "cb1a4388cdde94d650dcf23e307ecf41d38c4743c2fad9798b2f6f77d3ce770e"
    }
   },
   "fetched": {
    "tries": [
     {
      "at": "between 2026-10-29T22:30:34Z and 22:31:34Z",
      "http": 200,
      "result": "answered 200 (1,117,634 bytes) to a scratch probe whose file the next probe overwrote; refetched for saving"
     },
     {
      "at": "2026-10-29T22:31:34Z",
      "http": 200,
      "sha256": "e0811bd485fd98cd911e56de07abb47e9487b57695f51547a50c5399d2165210",
      "result": "saved (same byte count)"
     }
    ],
    "agent": "Mozilla/5.0 (compatible; Labor-Vector-census)",
    "url": "https://budgetlab.yale.edu/research/ai-probably-not-yet-reason-labor-market-weakening",
    "raw": "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B4.html",
    "raw_sha256": "e0811bd485fd98cd911e56de07abb47e9487b57695f51547a50c5399d2165210",
    "text": [
     "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B4.txt"
    ]
   },
   "names_operator": "yes ('The Budget Lab', 'New Budget Lab research')",
   "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, laborvector, provenanceerasure, machinemediation, EA-WG-CAPTURES-01 in the saved text, card title and snippet)",
   "note": "URL from the slug of the card title, confirmed by the page <title> (identical to the card title) and linked from B1. The note's PDF (node/1495/pdf) answered 403 to a probe and is not a source of the row.",
   "surfaced_by_T": [
    {
     "slug": "yale-budget-lab-ai-labor-market-aio-20261029",
     "card": 4
    }
   ],
   "card_title": "AI Is Probably Not (Yet) the Reason for Labor Market Weakening | The Budget Lab",
   "card_snippet": "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...",
   "card_note": null
  },
  {
   "id": "B5",
   "origin": "card",
   "role": "Overview card 5",
   "card": "YouTube·Quest Means Business — Yale Budget Lab Executive Director Martha Gimbel on why AI hasn't disrupted ...",
   "url": null,
   "kind": "Overview card (a video, 5:33; unreachable: no URL found)",
   "files": {},
   "fetched": {
    "unreachable": true,
    "tries": [],
    "searches": [
     "WebSearch 'Yale Budget Lab Executive Director Martha Gimbel on why AI hasn't disrupted Quest Means Business YouTube' (no youtube.com result)",
     "WebSearch 'youtube.com \"Yale Budget Lab Executive Director Martha Gimbel on why AI hasn't disrupted\"' (no youtube.com result)",
     "WebSearch '\"Martha Gimbel\" \"Quest Means Business\" AI youtube' (no youtube.com result)"
    ],
    "note": "The video's URL could not be found from its title and channel; the rail gives no snippet, only the title and the length. Admitted through its title (§3.1(a): a video card through title and snippet); the title stands as its only text."
   },
   "names_operator": "yes ('Yale Budget Lab Executive Director Martha Gimbel', in the title)",
   "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, laborvector, provenanceerasure, machinemediation, EA-WG-CAPTURES-01 in the saved text, card title and snippet)",
   "surfaced_by_T": [
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     "slug": "yale-budget-lab-ai-labor-market-aio-20261029",
     "card": 5
    }
   ],
   "card_title": "Yale Budget Lab Executive Director Martha Gimbel on why AI hasn't disrupted ...",
   "card_snippet": null,
   "card_note": "video, 5:33"
  },
  {
   "id": "B6",
   "origin": "own_page",
   "role": "the census's own page (not surfaced by T)",
   "card": "The Budget Lab — Tracking the Impact of AI on the Labor Market (printable PDF of the tracker, Version 1.0, 15 September 2026)",
   "url": "https://budgetlab.yale.edu/sites/default/files/page_to_pdf/1419/publication_1419.pdf",
   "kind": "own page: the tracker's printable PDF (node 1419), the census's source yale-budget-lab-ai-tracker--first-report-pdf",
   "files": {
    "B6.pdf": {
     "path": "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B6.pdf",
     "sha256": "9bcf775f43ed575636765e73b3cad8cfb62fb413e94428b92efdfabb086bafc0"
    },
    "B6.txt": {
     "path": "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B6.txt",
     "sha256": "6a1c4bade1ce5498466e7d968f62c1efbb8694f10525db47426ccf73c22efeac"
    }
   },
   "fetched": {
    "census_copy": {
     "src": "yale-budget-lab-ai-tracker--first-report-pdf",
     "url": "https://budgetlab.yale.edu/sites/default/files/page_to_pdf/1419/publication_1419.pdf",
     "sha256": "9bcf775f43ed575636765e73b3cad8cfb62fb413e94428b92efdfabb086bafc0",
     "read": "2026-10-29",
     "fetched": "2026-10-29T21:50:24Z",
     "http": "200",
     "agrees": true
    },
    "how": "copied from the census's saved copy (sources/yale-budget-lab-ai-tracker--first-report-pdf.html.gz, gunzipped; a PDF, so saved as B6.pdf) and its pdftotext text (.txt); not refetched",
    "raw": "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B6.pdf",
    "raw_sha256": "9bcf775f43ed575636765e73b3cad8cfb62fb413e94428b92efdfabb086bafc0",
    "text": [
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    ]
   },
   "names_operator": "yes ('The Budget Lab')",
   "names_archive": "no (none of the Crimson Hexagonal Archive, Alexanarch, Lee Sharks, laborvector, provenanceerasure, machinemediation, EA-WG-CAPTURES-01 in the saved text, card title and snippet)",
   "note": "Admitted beside the cards on the operator's ruling; not surfaced by T. The census's id calls it 'first-report-pdf', but its content is the tracker's PDF (title 'Tracking the Impact of AI on the Labor Market', 'Published: July 16, 2026 Updated: September 15, 2026'), not the first report of October 2025 (card 1, B1). The text of the second page breaks off in the methods paragraph, as the census records.",
   "surfaced_by_T": []
  },
  {
   "id": "B7",
   "origin": "own_page",
   "role": "the census's own page (unread)",
   "card": "The Budget Lab — Evaluating the Impact of AI on the Labor Market: September CPS Update (unread)",
   "url": "https://budgetlab.yale.edu/research/evaluating-impact-ai-labor-market-september-cps-update",
   "kind": "own page, unread: the census recorded HTTP 403",
   "files": {
    "B7-census-403.html": {
     "path": "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B7-census-403.html",
     "sha256": "bfa6a45b2e4a901f66905e5f67f06f52043234aa3e1f179b2805c3222ba6d41d"
    }
   },
   "fetched": {
    "unreachable": true,
    "census_copy": {
     "src": "yale-budget-lab-ai-tracker--september-cps-update",
     "http": "403",
     "fetched": "2026-10-29T21:50:24Z",
     "sha256": "bfa6a45b2e4a901f66905e5f67f06f52043234aa3e1f179b2805c3222ba6d41d",
     "body": "160.79.106.138 has been banned"
    },
    "note": "Recorded as unread, as the census records it (substitution 3); not refetched. The census's 30-byte response is copied as B7-census-403.html. No text, no claims."
   },
   "names_operator": "n/a (unread)",
   "names_archive": "n/a (unread)",
   "surfaced_by_T": []
  },
  {
   "id": "B8",
   "origin": "wikipedia",
   "role": "the entity's Wikipedia article (none)",
   "card": "Wikipedia — Tracking the Impact of AI on the Labor Market (no article)",
   "url": "https://en.wikipedia.org/w/index.php?title=Tracking_the_Impact_of_AI_on_the_Labor_Market&action=raw",
   "kind": "Wikipedia (no article; one article cites the first report)",
   "files": {
    "B8-raw-1.wiki": {
     "path": "datasets/negative-of-the-negative/v2/intake/yale-budget-lab-ai-tracker-20261029/B8-raw-1.wiki",
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    "B8-raw-2.wiki": {
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    "B8-raw-3.wiki": {
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   "quote": "Labor Market AI Exposure: What Do We Know? Martha Gimbel , Joshua Kendall and Ryan Kulsakdinun February 19, 2026",
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   "quote": "From its post-pandemic low of 3.4% in April 2023, the unemployment rate has risen to 4.3% in March 2026—a higher though still healthy level. Both layoffs and hires have been low, with unemployed job seekers having an especially difficult and worsening experience.",
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   "quote": "One feature of that previous analysis is that it does not rely on AI exposure metrics and is not subject to critiques of those measures. However, it does not formally attempt to identify effects of AI.",
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   "quote": "A principal reason for this low growth is the slowdown in net immigration, which reduced labor force growth.",
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   "quote": "Published: July 16, 2026 Updated: September 15, 2026",
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   "quote": "The Budget Lab's labor market analysis, updated to incorporate August 2026 CPS microdata, does not provide clear evidence of labor market disruption associated with AI. Churn across occupations, AI exposure among the unemployed, and usage data all remain flat, lie within historical ranges, or continue along pre-AI trends.",
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   "quote": "Of course, these findings may change as new data become available. The Budget Lab plans to continue monitoring AI-relevant trends to assess how job impacts might change.",
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   "quote": "Major categories of analysis can be accessed by clicking tabs towards the top of the page with the following names: Occupational churn, AI metrics, and Comparisons of AI-exposed and unexposed workers.",
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   "quote": "Occupational churn, AI-exposure rates of the unemployed, and related analysis can be found in Gimbel et al. (2025). Details of AI exposure metrics are discussed in Gimbel, Kendall, and Kulsakdinun (2026).",
   "claim": "its documentation: Gimbel et al. (2025) for churn and the exposure of the unemployed; Gimbel, Kendall and Kulsakdinun (2026) for the exposure metrics",
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   "quote": "Download All Data",
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   "quote": "HTTP 404. Wikipedia does not have an article with this exact name. … There were no results matching the query.",
   "claim": "Wikipedia has no article on the tracker under its title or alias, nor on the Lab under four forms of its name, and no article text with the tracker's title",
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   "quote": "However, a 2025 study concluded that the US labor market had so far not experienced a discernible disruption from generative AI.",
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 },
 "field_sources": {
  "B1": "The Budget Lab — Evaluating the Impact of AI on the Labor Market: Current State of Affairs | The Budget Lab",
  "B2": "The Budget Lab — Tracking the Impact of AI on the Labor Market | The Budget Lab",
  "B3": "The Budget Lab — Labor Market AI Exposure: What Do We Know? | The Budget Lab",
  "B4": "The Budget Lab — AI Is Probably Not (Yet) the Reason for Labor Market Weakening | The Budget Lab",
  "B5": "YouTube·Quest Means Business — Yale Budget Lab Executive Director Martha Gimbel on why AI hasn't disrupted ...",
  "B6": "The Budget Lab — Tracking the Impact of AI on the Labor Market (printable PDF of the tracker, Version 1.0, 15 September 2026)",
  "B7": "The Budget Lab — Evaluating the Impact of AI on the Labor Market: September CPS Update (unread)",
  "B8": "Wikipedia — Tracking the Impact of AI on the Labor Market (no article)"
 }
}