[ { "id": "LV-01", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "the record's name for the entity: the working paper's title", "kind": "definition", "modality": "stipulation", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].name", "quote": "Generative AI and Jobs: A Refined Global Index of Occupational Exposure", "kernel": false, "const": false, "lineage": "what it is: the ILO's index of occupational exposure to GenAI, refined", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" } }, { "id": "LV-02", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "the record's kind for the entity: an index of occupational exposure, a working paper with a research brief", "kind": "definition", "modality": "stipulation", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].kind", "quote": "index of occupational exposure, published as a working paper with a research brief", "kernel": true, "const": true, "lineage": "what it is: the ILO's index of occupational exposure to GenAI, refined", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--brief", "basis": "operator", "quote": "This brief summarizes an ILO Working paper that refines the global assessment of occupational exposure to generative AI.", "url": "https://www.ilo.org/node/706776", "sha256": "d01982bba323de9605e1fb36bb76f3144de14b2c64e930355f9bd04c9e5c15de", "field_source": "B2", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-03", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "the record's other names: Working Paper 140, the Global Index, the brief's title, the Observatory's 'AI impact on jobs'", "kind": "attribution", "modality": "documented", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].aka", "quote": "\"ILO Working Paper 140\", \"Global Index of Occupational Exposure to Generative AI\", \"Generative AI and jobs: A 2025 update\", \"AI impact on jobs\"", "kernel": false, "const": false, "lineage": "what it is: the ILO's index of occupational exposure to GenAI, refined", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" } }, { "id": "LV-04", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "the record's operator: the ILO, with NASK and the Polish ministry as the expert group; eight authors", "kind": "attribution", "modality": "documented", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].operator", "quote": "International Labour Organization (ILO), with NASK and the Polish Ministry of Family, Labour and Social Policy (expert group); authors Paweł Gmyrek, Janine Berg, Karol Kamiński, Filip Konopczyński, Agnieszka Ładna, Balint Nafradi, Konrad Rosłaniec, Marek Troszyński", "kernel": false, "const": false, "lineage": "the makers: the ILO, NASK and the authors", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--wp140", "basis": "operator", "quote": "The expert group includes international specialists at the ILO and its partner organizations, NASK and the Polish Ministry of Family, Labour and Social Policy.", "url": "https://webapps.ilo.org/static/english/intserv/working-papers/wp140/index.html", "sha256": "f33cc70351ee90684681a34ea4977fffca428b0d6712193450d0234c3ad8d743", "field_source": "B9", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-05", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "the record's organizing question, put to every resource it holds: who supplies the labor, who directs it, who receives its gains, and what kind of evidence the resource brings", "kind": "definition", "modality": "stipulation", "strata": [ "D" ], "locus": "census.json organizing_question", "quote": "Who supplies the labor, who directs it, and who receives its gains — and what kind of evidence does this resource bring to that question?", "kernel": true, "const": true, "lineage": "the record's question: whose labor, directed by whom, to whose gain, on what evidence", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" } }, { "id": "LV-06", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "the record places the entity at one of its five intersections: the distribution of gains and losses", "kind": "interpretation", "modality": "interpretation", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].intersections", "quote": "[\"gains-and-losses\"]", "kernel": true, "const": false, "lineage": "the record's placing: gains and losses, an exposure estimate", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" } }, { "id": "LV-07", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "the intersection defined: wages, employment, workload, credit, ownership, and who captures productivity gains", "kind": "definition", "modality": "stipulation", "strata": [ "D" ], "locus": "census.json intersections['gains-and-losses']", "quote": "Distribution of gains and losses: wages, employment, workload, credit, ownership, and who captures productivity gains", "kernel": false, "const": false, "lineage": "the record's placing: gains and losses, an exposure estimate", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" } }, { "id": "LV-08", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "the record's evidence kind for the entity: an exposure estimate", "kind": "interpretation", "modality": "interpretation", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].evidence_kind", "quote": "[\"exposure estimate\"]", "kernel": true, "const": true, "lineage": "the record's placing: gains and losses, an exposure estimate", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" } }, { "id": "LV-09", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "the record's unit: a task's automation score, aggregated to an occupation's mean and spread, placed in a gradient; employment shares then estimated", "kind": "definition", "modality": "stipulation", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].unit", "quote": "a task's automation score, aggregated to a 4-digit ISCO-08 occupation (mean and standard deviation) and placed in one of four exposure gradients; employment shares then estimated by country income group, region and sex", "kernel": false, "const": false, "lineage": "the unit: a task's automation score, an occupation's mean and spread, four gradients", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--wp140", "basis": "operator", "quote": "we rely on two moments of distribution: occupational mean and standard deviation (SD) of task-level scores pertaining to a given 4-digit occupation.", "url": "https://webapps.ilo.org/static/english/intserv/working-papers/wp140/index.html", "sha256": "f33cc70351ee90684681a34ea4977fffca428b0d6712193450d0234c3ad8d743", "field_source": "B9", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-10", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "the record's labor object: the tasks of occupations, and the employment in the 112 exposed occupations", "kind": "interpretation", "modality": "interpretation", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].labor_object", "quote": "the tasks of occupations in ISCO-08 and in Poland's 6-digit classification (29,753 tasks in 2,541 occupations), and the global employment in the 112 occupations classed as exposed", "kernel": true, "const": false, "lineage": "direction: who supplies, directs and gains (the record's reading)", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--wp140", "basis": "operator", "quote": "At the most detailed, 6-digit level, this framework contains 2541 occupations and 29,753 corresponding tasks (Table 1).", "url": "https://webapps.ilo.org/static/english/intserv/working-papers/wp140/index.html", "sha256": "f33cc70351ee90684681a34ea4977fffca428b0d6712193450d0234c3ad8d743", "field_source": "B9", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-11", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "who supplies the labor: not recorded; the index scores technical feasibility, and its own scores were supplied by 1,640 workers in Poland and an expert group", "kind": "interpretation", "modality": "interpretation", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].direction.supplies", "quote": "not recorded; the index scores tasks' technical feasibility for GenAI automation. Its scores were supplied by 1,640 people employed in Poland, each scoring tasks of their own 1-digit occupational group, and by an expert group", "kernel": true, "const": true, "lineage": "direction: who supplies, directs and gains (the record's reading)", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--wp140", "basis": "operator", "quote": "This means that tasks of managers are assessed by individuals working as managers, tasks of professionals are assessed by professionals, etc.", "url": "https://webapps.ilo.org/static/english/intserv/working-papers/wp140/index.html", "sha256": "f33cc70351ee90684681a34ea4977fffca428b0d6712193450d0234c3ad8d743", "field_source": "B9", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-12", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "who directs the labor: not recorded", "kind": "interpretation", "modality": "interpretation", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].direction.directs", "quote": "not recorded", "kernel": true, "const": false, "lineage": "direction: who supplies, directs and gains (the record's reading)", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" } }, { "id": "LV-13", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "who receives the gains: not recorded as observed; the index estimates exposed shares and states that productivity benefits depend on complementing human expertise", "kind": "interpretation", "modality": "interpretation", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].direction.gains", "quote": "not recorded as observed outcomes; it estimates employment shares exposed, by sex and income group, and states that the productivity benefits depend on complementing human expertise", "kernel": true, "const": false, "lineage": "direction: who supplies, directs and gains (the record's reading)", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--wp140", "basis": "operator", "quote": "the key to unlocking the productivity benefits of GenAI lies not in the search of outright labour savings, but in the extent to which human expertise can be complemented with new technological capacities to reshape occupations and generate additional value-added", "url": "https://webapps.ilo.org/static/english/intserv/working-papers/wp140/index.html", "sha256": "f33cc70351ee90684681a34ea4977fffca428b0d6712193450d0234c3ad8d743", "field_source": "B9", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-14", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "the record's method: LLM scores, a worker survey, expert validation, an AI predictor fed the human scores, employment shares from the ILO's estimation model", "kind": "fact", "modality": "documented", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].method", "quote": "LLM-generated task scores (GPT-4, GPT-4o, Gemini Flash 1.5), a survey of workers scoring a representative task sample (52,558 data points on 2,861 tasks), expert validation with Delphi-style rounds, then an AI predictor fed the human scores to score all tasks; employment shares from the ILO's global estimation model on harmonised labour force microdata", "kernel": false, "const": false, "lineage": "method: workers scoring tasks, experts, LLMs, a predictor", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--wp140", "basis": "operator", "quote": "Using a representative sample from the 29,753 tasks in the Polish occupational classification system and a survey of 1,640 people employed in each 1-digit ISCO-08 groups, we collect 52,558 data points regarding perceive potential of automation for 2,861 tasks.", "url": "https://webapps.ilo.org/static/english/intserv/working-papers/wp140/index.html", "sha256": "f33cc70351ee90684681a34ea4977fffca428b0d6712193450d0234c3ad8d743", "field_source": "B9", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-15", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "coverage: a static snapshot at the start of 2025, published 20 May 2025; global, the task survey run in Poland", "kind": "fact", "modality": "documented", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].coverage.period", "quote": "a static snapshot of exposure at the start of 2025; published 20 May 2025", "kernel": false, "const": false, "lineage": "the stated limits: exposure not impact, an upper threshold, a snapshot", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--wp140", "basis": "operator", "quote": "Finally, the estimates do not account for new jobs that may be created, nor the technological advances that could potentially automate more tasks in the future. In that sense, our estimates present a static snapshot of the exposure of existing occupations to GenAI at the start of 2025.", "url": "https://webapps.ilo.org/static/english/intserv/working-papers/wp140/index.html", "sha256": "f33cc70351ee90684681a34ea4977fffca428b0d6712193450d0234c3ad8d743", "field_source": "B9", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-16", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "the record's counts kept apart: 29,753 tasks scored, 3,265 ISCO-08 tasks, 1,640 respondents, 52,558 data points, 112 exposed occupations", "kind": "fact", "modality": "documented", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].count.value", "quote": "29,753 Polish 6-digit tasks scored; 3,265 ISCO-08 tasks rescored; 1,640 survey respondents; 52,558 data points; 112 occupations classed as exposed", "kernel": false, "const": false, "lineage": "method: workers scoring tasks, experts, LLMs, a predictor", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--wp140", "basis": "operator", "quote": "Using a representative sample from the 29,753 tasks in the Polish occupational classification system and a survey of 1,640 people employed in each 1-digit ISCO-08 groups, we collect 52,558 data points regarding perceive potential of automation for 2,861 tasks.", "url": "https://webapps.ilo.org/static/english/intserv/working-papers/wp140/index.html", "sha256": "f33cc70351ee90684681a34ea4977fffca428b0d6712193450d0234c3ad8d743", "field_source": "B9", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-17", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "finding: one in four workers globally", "kind": "fact", "modality": "documented", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].findings[0]", "quote": "one in four workers globally (24%) is in an occupation with some GenAI exposure", "kernel": false, "const": false, "lineage": "findings: shares of employment exposed, by income and sex", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--wp140", "basis": "operator", "quote": "one in four jobs globally (24%) has some degree of exposure, and one in three jobs in high-income countries.", "url": "https://webapps.ilo.org/static/english/intserv/working-papers/wp140/index.html", "sha256": "f33cc70351ee90684681a34ea4977fffca428b0d6712193450d0234c3ad8d743", "field_source": "B9", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-18", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "finding: 3.3% in the highest gradient, by sex and income", "kind": "fact", "modality": "documented", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].findings[1]", "quote": "3.3% of global employment falls in the highest exposure gradient (4.7% of female, 2.4% of male employment); in high-income countries 9.6% female and 3.5% male", "kernel": false, "const": false, "lineage": "findings: shares of employment exposed, by income and sex", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--wp140", "basis": "operator", "quote": "Globally, one in four workers are in an occupation with some GenAI exposure. 3.3% of global employment falls into the highest exposure category, albeit with significant differences between female (4.7%) and male employment (2.4%).", "url": "https://webapps.ilo.org/static/english/intserv/working-papers/wp140/index.html", "sha256": "f33cc70351ee90684681a34ea4977fffca428b0d6712193450d0234c3ad8d743", "field_source": "B9", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-19", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "finding: 34% against 11%", "kind": "fact", "modality": "documented", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].findings[2]", "quote": "exposed employment is 34% in high-income countries and 11% in low-income countries", "kernel": false, "const": false, "lineage": "findings: shares of employment exposed, by income and sex", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--wp140", "basis": "operator", "quote": "These differences increase with countries’ income (9.6% female vs 3.5% male in Gradient 4 in HICs), and so does the overall exposure (11% of total employment in LICs vs 34% in HICs).", "url": "https://webapps.ilo.org/static/english/intserv/working-papers/wp140/index.html", "sha256": "f33cc70351ee90684681a34ea4977fffca428b0d6712193450d0234c3ad8d743", "field_source": "B9", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-20", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "finding: clerical highest; some digitised occupations increased", "kind": "fact", "modality": "documented", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].findings[3]", "quote": "clerical occupations continue to have the highest exposure; some digitised professional and technical occupations increased", "kernel": false, "const": false, "lineage": "findings: which occupations", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--wp140", "basis": "operator", "quote": "Clerical occupations continue to have the highest exposure levels. Additionally, some strongly digitized occupations have increased exposure", "url": "https://webapps.ilo.org/static/english/intserv/working-papers/wp140/index.html", "sha256": "f33cc70351ee90684681a34ea4977fffca428b0d6712193450d0234c3ad8d743", "field_source": "B9", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-21", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "finding: mean 0.29 against 0.30, SD 0.14 against 0.30", "kind": "fact", "modality": "documented", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].findings[4]", "quote": "mean automation score 0.29 in 2025 against 0.30 in 2023, with standard deviation 0.14 against 0.30", "kernel": false, "const": false, "lineage": "lineage: the 2023 index", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--brief", "basis": "operator", "quote": "Overall, the automation scores are slightly lower than in 2023 (a mean automation score of 0.29 in 2025 versus 0.30 in 2023), though the variability of scores is considerably lower (standard deviation 0.14 in 2025 v. 0.30 in 2023).", "url": "https://www.ilo.org/node/706776", "sha256": "d01982bba323de9605e1fb36bb76f3144de14b2c64e930355f9bd04c9e5c15de", "field_source": "B2", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-22", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "finding: most jobs more likely transformed than made redundant", "kind": "interpretation", "modality": "interpretation", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].findings[5]", "quote": "most jobs are more likely to be transformed than made redundant, because of the continued need for human input", "kernel": false, "const": false, "lineage": "transformation over redundancy, and its qualification", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--brief", "basis": "operator", "quote": "One in four workers across the world are in an occupation with some degree of GenAI exposure, but because of the continued need for human input, most jobs will be transformed rather than made redundant.", "url": "https://www.ilo.org/node/706776", "sha256": "d01982bba323de9605e1fb36bb76f3144de14b2c64e930355f9bd04c9e5c15de", "field_source": "B2", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-23", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "limit: exposure and an upper threshold, not the actual impact", "kind": "function", "modality": "self-description", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].stated_limits[0]", "quote": "the estimates measure exposure and give an upper threshold; they are not the actual impact on employment", "kernel": false, "const": false, "lineage": "the stated limits: exposure not impact, an upper threshold, a snapshot", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--wp140", "basis": "operator", "quote": "It is important to stress that these new estimates reflect “exposure” to GenAI and not the actual impact on employment. As in 2023, the 2025 estimates represent the upper threshold of the percentage of employment that could be affected if GenAI technology were fully implemented.", "url": "https://webapps.ilo.org/static/english/intserv/working-papers/wp140/index.html", "sha256": "f33cc70351ee90684681a34ea4977fffca428b0d6712193450d0234c3ad8d743", "field_source": "B9", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-24", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "limit: no new jobs, no future advances; a snapshot", "kind": "function", "modality": "self-description", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].stated_limits[1]", "quote": "they do not account for new jobs created or future technical advances: a static snapshot at the start of 2025", "kernel": false, "const": false, "lineage": "the stated limits: exposure not impact, an upper threshold, a snapshot", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--wp140", "basis": "operator", "quote": "Finally, the estimates do not account for new jobs that may be created, nor the technological advances that could potentially automate more tasks in the future. In that sense, our estimates present a static snapshot of the exposure of existing occupations to GenAI at the start of 2025.", "url": "https://webapps.ilo.org/static/english/intserv/working-papers/wp140/index.html", "sha256": "f33cc70351ee90684681a34ea4977fffca428b0d6712193450d0234c3ad8d743", "field_source": "B9", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-25", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "limit: the survey sample, comparable within groups only", "kind": "function", "modality": "self-description", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].stated_limits[2]", "quote": "the survey sample may not represent the entire working population; opinions are comparable only within each 1-digit group", "kernel": false, "const": false, "lineage": "the stated limits of the survey: Poland, the sample, the match", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--wp140", "basis": "operator", "quote": "On the downside, this survey design means that the sample may not represent the entire working population, and interpretability of opinions on the automation potential is limited to comparisons within each 1-digit group.", "url": "https://webapps.ilo.org/static/english/intserv/working-papers/wp140/index.html", "sha256": "f33cc70351ee90684681a34ea4977fffca428b0d6712193450d0234c3ad8d743", "field_source": "B9", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-26", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "limit: 91.5% of tasks unmatched to respondents' own work", "kind": "fact", "modality": "documented", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].stated_limits[3]", "quote": "for 91.5% of tasks, respondents did not report performing a similar task in their work", "kernel": false, "const": false, "lineage": "the stated limits of the survey: Poland, the sample, the match", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--wp140", "basis": "operator", "quote": "For 91.5% of the tasks, respondents did not report performing a similar task in their work", "url": "https://webapps.ilo.org/static/english/intserv/working-papers/wp140/index.html", "sha256": "f33cc70351ee90684681a34ea4977fffca428b0d6712193450d0234c3ad8d743", "field_source": "B9", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-27", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "limit: generic, by ISCO-08", "kind": "function", "modality": "self-description", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].stated_limits[4]", "quote": "the index is generic, because of the nature of ISCO-08", "kernel": false, "const": false, "lineage": "the stated limits of the survey: Poland, the sample, the match", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" }, "basis": { "src": "ilo-genai-exposure-index--wp140", "basis": "operator", "quote": "The new global index presented in this paper is generic, due to the nature of ISCO-08 and the structure of tasks associated with occupations in this framework.", "url": "https://webapps.ilo.org/static/english/intserv/working-papers/wp140/index.html", "sha256": "f33cc70351ee90684681a34ea4977fffca428b0d6712193450d0234c3ad8d743", "field_source": "B9", "note": "the field restates this evidence quote: one lineage with the source, which keeps the earliest date (§3.6)" } }, { "id": "LV-28", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "what this evidence answers: which occupations have tasks scored as technically feasible, and how consistently", "kind": "interpretation", "modality": "interpretation", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].answers[0]", "quote": "which occupations have tasks scored as technically feasible for GenAI automation, and how consistently across their tasks", "kernel": true, "const": false, "lineage": "the record's placing: what the evidence can and cannot settle", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" } }, { "id": "LV-29", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/", "label": "LV" }, "claim": "what it answers: the share of employment in exposed occupations, by sex, region and income", "kind": "interpretation", "modality": "interpretation", "strata": [ "D" ], "locus": "census.json rows[slug == 'ilo-genai-exposure-index'].answers[1]", "quote": "what share of employment sits in exposed occupations, by sex, region and country income group", "kernel": false, "const": false, "lineage": "the record's placing: what the evidence can and cannot settle", "date": "2026-10-29", "title": "Labor Vector meta-aggregator record: Generative AI and Jobs: A Refined Global Index of Occupational Exposure (https://www.laborvector.org/aggregators/ilo-genai-exposure-index/), editor Lee Sharks, census compiled 2026-10-29, schema 1.0", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json", "quote_ok": true, "quote_check": "within the field's value as loaded (non-string values as their JSON text; 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They answer different questions and are often cited as if they answered the same one.", "kernel": true, "const": true, "lineage": "the record's placing: what the evidence can and cannot settle", "date": "2026-10-29", "title": "Labor Vector meta-aggregator: worked questions (questions.json), editor Lee Sharks, compiled 2026-10-29", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/questions.json", "quote_ok": true, "quote_check": "within the field's value as loaded (whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" } }, { "id": "LV-50", "dep": "LV", "record": { "url": "https://www.laborvector.org/aggregators/questions/", "label": "LV" }, "claim": "the gap the record states: no record establishes that exposure causes the employment change", "kind": "interpretation", "modality": "interpretation", "strata": [ "D" ], "locus": "questions.json questions[id == 'observed-or-estimated'].gap", "quote": "No record establishes that exposure causes the employment change; the two observed trackers reach different readings of the same period.", "kernel": false, "const": false, "lineage": "the record's placing: what the evidence can and cannot settle", "date": "2026-10-29", "title": "Labor Vector meta-aggregator: worked questions (questions.json), editor Lee Sharks, compiled 2026-10-29", "creator": "Lee Sharks (editor)", "file": "/home/claude/fleet/laborvector/data/labor-census/questions.json", "quote_ok": true, "quote_check": "within the field's value as loaded (whitespace-normalised)", "entity": "ilo-genai-exposure-index", "surface": { "url": "https://www.laborvector.org/aggregators/ilo-genai-exposure-index/" } }, { "id": "CAP-1-01", "dep": "capture-registry", "record": { "url": "https://www.alexanarch.org/captures/ilo-generative-ai-and-jobs-index-aio-20261029/", "label": "CAP" }, "claim": "the composition's paper, 24%, 3.3%, 34% against 11% and the transformation reading are the record's", "kind": "fact", "modality": "documented", "strata": [ "D" ], "locus": "ilo-generative-ai-and-jobs-index-aio-20261029, findings[0] s1–2", "quote": "THE INDEX HELD. Working Paper 140, 24%, 3.3% in the highest gradient, 34% against 11% by income group and the transformation reading ('most jobs are more likely to be transformed than made redundant') are the record's.", "kernel": false, "const": false, "lineage": "the composition at the name: what it held", "date": "2026-10-29", "title": "Capture Registry (EA-WG-CAPTURES-01), entry ilo-generative-ai-and-jobs-index-aio-20261029 (OBS-79a0cee7426a, AXN:0AEF.CAPTURE.🔎♋🔀✋⏏️🌠)", "creator": "Lee Sharks (the registry)", "file": "data/EA-WG-CAPTURES-01.json", "quote_ok": true, "quote_check": "within the entry's field value as loaded (whitespace-normalised)", "surface": { "url": "https://www.alexanarch.org/captures/ilo-generative-ai-and-jobs-index-aio-20261029/" } }, { "id": "CAP-1-02", "dep": "capture-registry", "record": { "url": "https://www.alexanarch.org/captures/ilo-generative-ai-and-jobs-index-aio-20261029/", "label": "CAP" }, "claim": "the finding's method: checked against the census record and the sources it saved", "kind": "fact", "modality": "documented", "strata": [ "D" ], "locus": "ilo-generative-ai-and-jobs-index-aio-20261029, findings[0] s3", "quote": "Checked 2026-10-29 against the Labor Vector census record of the same day and the sources it saved.", "kernel": false, "const": false, "lineage": "the composition at the name: what it held", "date": "2026-10-29", "title": "Capture Registry (EA-WG-CAPTURES-01), entry ilo-generative-ai-and-jobs-index-aio-20261029 (OBS-79a0cee7426a, AXN:0AEF.CAPTURE.🔎♋🔀✋⏏️🌠)", "creator": "Lee Sharks (the registry)", "file": "data/EA-WG-CAPTURES-01.json", "quote_ok": true, "quote_check": "within the entry's field value as loaded (whitespace-normalised)", "surface": { "url": "https://www.alexanarch.org/captures/ilo-generative-ai-and-jobs-index-aio-20261029/" } }, { "id": "CAP-1-03", "dep": "capture-registry", "record": { "url": "https://www.alexanarch.org/captures/ilo-generative-ai-and-jobs-index-aio-20261029/", "label": "CAP" }, "claim": "the composition's gender figure is not the paper's; the paper's highest-gradient figures are 4.7% female and 2.4% male", "kind": "fact", "modality": "documented", "strata": [ "D" ], "locus": "ilo-generative-ai-and-jobs-index-aio-20261029, findings[1] s1–2", "quote": "A GENDER FIGURE NOT IN THE PAPER. The paper states that women are more affected than men; its own figures for the highest gradient are 4.7% of female and 2.4% of male employment worldwide.", "kernel": true, "const": false, "lineage": "the composition at the name: a figure not in the paper", "date": "2026-10-29", "title": "Capture Registry (EA-WG-CAPTURES-01), entry ilo-generative-ai-and-jobs-index-aio-20261029 (OBS-79a0cee7426a, AXN:0AEF.CAPTURE.🔎♋🔀✋⏏️🌠)", "creator": "Lee Sharks (the registry)", "file": "data/EA-WG-CAPTURES-01.json", "quote_ok": true, "quote_check": "within the entry's field value as loaded (whitespace-normalised)", "surface": { "url": "https://www.alexanarch.org/captures/ilo-generative-ai-and-jobs-index-aio-20261029/" } }, { "id": "CAP-1-04", "dep": "capture-registry", "record": { "url": "https://www.alexanarch.org/captures/ilo-generative-ai-and-jobs-index-aio-20261029/", "label": "CAP" }, "claim": "'roughly 29% vs. 16%' is in no saved source; the paper's 29.2% is the 2023 index's combined augmentation and 'big unknown' share", "kind": "fact", "modality": "documented", "strata": [ "D" ], "locus": "ilo-generative-ai-and-jobs-index-aio-20261029, findings[1] s3", "quote": "'roughly 29% vs. 16% across sampled countries' is in no saved source; the paper's 29.2% is the 2023 index's combined share of augmentation and 'the big unknown'.", "kernel": true, "const": false, "lineage": "the composition at the name: a figure not in the paper", "date": "2026-10-29", "title": "Capture Registry (EA-WG-CAPTURES-01), entry ilo-generative-ai-and-jobs-index-aio-20261029 (OBS-79a0cee7426a, AXN:0AEF.CAPTURE.🔎♋🔀✋⏏️🌠)", "creator": "Lee Sharks (the registry)", "file": "data/EA-WG-CAPTURES-01.json", "quote_ok": true, "quote_check": "within the entry's field value as loaded (whitespace-normalised)", "surface": { "url": "https://www.alexanarch.org/captures/ilo-generative-ai-and-jobs-index-aio-20261029/" } }, { "id": "CAP-1-05", "dep": "capture-registry", "record": { "url": "https://www.alexanarch.org/captures/ilo-generative-ai-and-jobs-index-aio-20261029/", "label": "CAP" }, "claim": "the composition joins two counts, 29,753 tasks and 52,558 data points, that the record keeps apart", "kind": "fact", "modality": "documented", "strata": [ "D" ], "locus": "ilo-generative-ai-and-jobs-index-aio-20261029, findings[2]", "quote": "TWO COUNTS RUN TOGETHER. 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NEW address.", "kernel": false, "const": false, "lineage": "the composition at the name: what it held", "date": "2026-10-29", "title": "Capture Registry (EA-WG-CAPTURES-01), entry ilo-generative-ai-and-jobs-index-aio-20261029 (OBS-79a0cee7426a, AXN:0AEF.CAPTURE.🔎♋🔀✋⏏️🌠)", "creator": "Lee Sharks (the registry)", "file": "data/EA-WG-CAPTURES-01.json", "quote_ok": true, "quote_check": "within the entry's field value as loaded (whitespace-normalised)", "surface": { "url": "https://www.alexanarch.org/captures/ilo-generative-ai-and-jobs-index-aio-20261029/" } }, { "id": "O499-01", "dep": 499, "record": "deposit", "claim": "AI as the full vertical integration of semantic production: one technology owns the instruments, processes the objects and increasingly automates the labor, generation replacing human semantic labor", "kind": "interpretation", "modality": "interpretation", "strata": [ "O" ], "locus": "§2.5 'AI and the Future of Semantic Production' ¶1", "quote": "Artificial intelligence represents the full vertical integration of semantic production — a single technology that owns the instruments (compute), processes the objects (training data), and increasingly automates the labor (generation replacing human semantic labor).", "kernel": true, "const": true, "lineage": "the archive on the class: AI automating labor, and who owns its means", "date": "2026-02-20", "title": "AUTONOMOUS SEMANTIC WARFARE A Field Manual for Meaning in the Age of Platform Capture", "creator": "Rex Fraction", "file": "data/texts/AXN-013E-text.md", "offset": 127061, "quote_ok": true, "quote_check": "verbatim in the deposit text (whitespace-normalised)", "o_class": "employment effects of AI (basis: census intersection gains-and-losses; field B9 §2 and Conclusion, B5)", "instances": [] }, { "id": "O499-02", "dep": 499, "record": "deposit", "claim": "the resources of AI training (data, compute, deployment) controlled by the same small set of corporations that dominate semantic infrastructure", "kind": "interpretation", "modality": "interpretation", "strata": [ "O" ], "locus": "§2.5 ¶4", "quote": "All three resources are controlled by the same small set of corporations that dominate semantic infrastructure generally.", "kernel": false, "const": false, "lineage": "the archive on the class: AI automating labor, and who owns its means", "date": "2026-02-20", "title": "AUTONOMOUS SEMANTIC WARFARE A Field Manual for Meaning in the Age of Platform Capture", "creator": "Rex Fraction", "file": "data/texts/AXN-013E-text.md", "offset": 129728, "quote_ok": true, "quote_check": "verbatim in the deposit text (whitespace-normalised)", "o_class": "employment effects of AI (the same section; who controls the means, the record's 'directs')", "instances": [] }, { "id": "O521-01", "dep": 521, "record": "deposit", "claim": "an account of AI job loss read as a scenario and not a prediction: the Citrini memo's displacement spiral (AI improves, companies cut workers, displaced workers spend less, companies invest more in AI) narrated backward, a retrocausal technique", "kind": "interpretation", "modality": "interpretation", "strata": [ "O" ], "locus": "¶10–11", "quote": "What follows is a scenario, not a prediction. … Their \"macro memo from June 2028\" traced the intelligence displacement spiral before it began, identifying the negative feedback loop — AI improves, companies cut workers, displaced workers spend less, companies invest more in AI — that had no natural brake.", "kernel": true, "const": false, "lineage": "the archive on the class: displacement accounts as scenario, not forecast", "date": "2026-02-27", "title": "Ghost Meaning: The Semantic Entropy Crisis and the Architecture That Was Already Waiting Rex Fraction / Lee Sharks Journ", "creator": "Rex Fraction", "file": "data/texts/AXN-015A-text.md", "offset": 854, "quote_ok": true, "quote_check": "verbatim in the deposit text (whitespace-normalised; multi-part, each part checked)", "o_class": "employment effects of AI (basis as above)", "instances": [ { "dep": 1155, "locus": "¶20–21", "note": "the same text (Lee Sharks, the same date): one lineage, #521 kept (S4)" } ] }, { "id": "O520-01", "dep": 520, "record": "deposit", "claim": "the displacement crisis of the memo has a policy resolution, the redistribution of gains; the semantic crisis has none", "kind": "interpretation", "modality": "interpretation", "strata": [ "O" ], "locus": "Citrini Research & Shah (2026), annotation", "quote": "Citrini's crisis has a policy resolution (redistribute gains); the semantic crisis does not (cannot legislate meaning).", "kernel": false, "const": false, "lineage": "the archive on the class: displacement accounts as scenario, not forecast", "date": "2026-02-27", "title": "GHOST MEANING: RESEARCH PROGRAM AND CITATIONAL ATLAS Companion Dossier to \"Ghost Meaning: The Semantic Entropy Crisis and the Architecture That Was Already Waiting\"", "creator": "Rex Fraction", "file": "data/texts/AXN-0159-text.md", "offset": 6085, "quote_ok": true, "quote_check": "verbatim in the deposit text (whitespace-normalised)", "o_class": "employment effects of AI; the distribution of gains (census intersection gains-and-losses)", "instances": [] }, { "id": "O533-01", "dep": 533, "record": "deposit", "claim": "labor that platforms displace does not vanish: it is relocated, from visible human interpreters to invisible architectural constraints built and kept by schema designers, ontology engineers and data annotators", "kind": "interpretation", "modality": "interpretation", "strata": [ "O" ], "locus": "'Labor bearing-cost' ¶1", "quote": "He correctly notes that platforms displace this labor. He does not note that the labor does not vanish. It is *relocated* — from visible human interpreters to invisible architectural constraints.", "kernel": true, "const": true, "lineage": "the archive on the class: displaced labor relocated, and whose gain", "date": "2026-03-04", "title": "The Groundskeeper's Treatise: A Diagnostic Reading of Platform Stewardship Theory through the Semantic Economy", "creator": "Johannes Sigil", "file": "data/texts/AXN-0168-text.md", "offset": 14177, "quote_ok": true, "quote_check": "verbatim in the deposit text (whitespace-normalised)", "o_class": "employment effects of AI and platforms (basis as above; the next paragraph names generative AI among intelligence-generating platforms)", "instances": [] }, { "id": "O533-02", "dep": 533, "record": "deposit", "claim": "the steward captures the relocated labor as proprietary infrastructure: the enclosure of interpretive labor", "kind": "interpretation", "modality": "interpretation", "strata": [ "O" ], "locus": "'Labor bearing-cost' ¶1", "quote": "What was distributed human judgment becomes centralized architectural authority. The steward captures the labor of reconciliation as proprietary infrastructure. This is the *enclosure of interpretive labor*.", "kernel": false, "const": false, "lineage": "the archive on the class: displaced labor relocated, and whose gain", "date": "2026-03-04", "title": "The Groundskeeper's Treatise: A Diagnostic Reading of Platform Stewardship Theory through the Semantic Economy", "creator": "Johannes Sigil", "file": "data/texts/AXN-0168-text.md", "offset": 14813, "quote_ok": true, "quote_check": "verbatim in the deposit text (whitespace-normalised)", "o_class": "the distribution of gains (census intersection gains-and-losses)", "instances": [] } ]