Data Downloads

The global structural baseline and the country-specific bundles are published separately so each layer can be validated on its own, without conflating structural pressure with local demand, wage, transition, or regulatory overlays.

562 occupations · 88 roles · 52 data sources · MIT licensed

Structural scores and local context are separate downloads. Each artifact has an evidence tier: official local, derived from official local, cross-country research, external proxy, or synthetic.

Structural release

score dataset generated 2026-04-09

Live monitor

Q4 2025 full

current labour context used on live pages

Latest official release

Q4 2025

MOM Labour Market Report Q4 2025 published 2026-03-20

Legacy model comparison

Promoted live

median direct task-share 100%

Quarterly briefing

2026 Q1

occupations-v7-2026-04.json

Release history

V6 structural release

Published 1 Apr 2026 · V6 · monitor Q4 2025 full

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V5 structural release

Published 21 Mar 2026 · V5 · monitor Q4 2025 full

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V4.3 structural release

Published 21 Mar 2026 · V4.3 · monitor Q4 2025 full

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View 13 older releases

V4.2 structural release

Published 21 Mar 2026 · V4.2 · monitor Q4 2025 full

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V4.0 four-source ensemble milestone

Published 19 Mar 2026 · V4.0 · monitor Q4 2025 full

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V3.3 ensemble exposure iteration

Published 19 Mar 2026 · V3.3 · monitor Q4 2025 full

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V3.2 confidence-interval milestone

Published 19 Mar 2026 · V3.2 · monitor Q4 2025 full

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V3.1 observed-exposure and demand-signal milestone

Published 16 Mar 2026 · V3.1 · monitor Q4 2025 full

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V3.0 three-layer structural score

Published 16 Mar 2026 · V3.0 · monitor Q4 2025 full

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V2 Singapore occupation scorer

Published Jan 2026 · V2 · monitor Q4 2025 full

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V1 public alpha

Published Dec 2025 · V1 · monitor Q4 2025 full

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V4.3 shadow score published

Published 21 Mar 2026 · V7 · monitor Q4 2025 full

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V5 sidecars published

Published 21 Mar 2026 · V7 · monitor Q4 2025 full

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V5 experimental model published

Published 21 Mar 2026 · V7 · monitor Q4 2025 full

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MOM Labour Market Report Q4 2025

Published 20 Mar 2026 · V7 · monitor Q4 2025 full

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2026 Q1 quarterly briefing

Published 21 Mar 2026 · V7 · monitor Q4 2025 full

Open →

Downloads

CSV

562 occupations, flattened fields + provenance. Best for spreadsheets.

sg-ai-occupations-v7.csv

JSON

Full V7 scores with nested fields, scoring-basis metadata, latent uncertainty intervals, and the retained V4.3 baseline snapshot.

sg-ai-occupations-v7.json

V4.3 Audit Trail

Shadow-governance status, promotion history, and the retained audit trail behind the live V7 release.

experimental-methodology-v43.json

V4.3 Comparison Scores

Task-adjusted comparison scores published alongside the live baseline for validation and promotion review.

shadow-scores-v43.json

Research Library

Canonical citation registry linking the live methodology, validation layer, and archived V5 roadmap to source papers and reports.

research-library.json

V5 Roadmap

Archived roadmap for the V5 research program that preceded the current V7 two-axis structural release.

v5-roadmap.json

V5 Supplementary Data

Published V5 workstream summary covering augmentation heterogeneity, empirical mobility, posterior uncertainty, and realized-risk forecasting sidecars that fed the later V7 release.

v5-sidecars.json

V5 Model Note

Final promotion-comparison artifact for the former live V5 model, retaining the pre-promotion V4.3 baseline and the published adjunct layers.

v5-experimental-model.json

V5 Validation Comparison

Comparison and validation summary for the former live V5 model versus the retained V4.3 baseline across structural and realized-risk checks.

v5-experimental-validation.json

Source Code

Full scoring pipeline and raw data. Open source, MIT licensed.

github.com/kirso/aiworkindex

Country Context Bundles

Context-only bundles are published separately from structural scores. Singapore is fully scored, while the US layer now carries its own public wage and demand context.

Full context pack

All context in one file

Labour monitor

Vacancy, hiring, retrenchment

Worker profile

Age, education, nationality

Geography

Planning area concentration

Macro context

Unemployment, GDP, tightness

AI in Singapore

Adoption, NAIIP, workforce

O*NET task + tools

Supporting task and technology context

Transition support

Pathways, SkillsFuture, JTM / WSQ anchors

Offset potential

Demand persistence, redesign room, switching friction

Field source map

Field-level provenance and transformations

Versioned Snapshots

Historical scoring snapshots for tracking changes over time.

Version	Date	Occupations	Download
V6	1 Apr 2026	562	Archived
V5	21 Mar 2026	562	Archived
V4.3	21 Mar 2026	562	Archived
V4.2	21 Mar 2026	562	JSON · CSV
V4.0	19 Mar 2026	562	History only
V3.3	19 Mar 2026	562	History only
V3.2	19 Mar 2026	562	History only
V3.1	16 Mar 2026	562	History only
V3.0	16 Mar 2026	562	JSON
V2	Jan 2026	562	History only
V1	Dec 2025	562	History only

Quarterly snapshots will be archived here as new scoring runs are published. Use snapshots to track band movers and score drift over time.

Methodology Version

Version: V7 (headline risk = displacement pressure × (1 − demand resilience), with V7 task-concentration-weighted exposure and demand-persistence proxy)

Data vintage: 2024 wages, 2025 labour context, 2025/2026 demand signals

Occupations: 562 occupations, currently sourced from Singapore (primary) and United States data

Separate context bundle: Labour monitor, worker profile, industry context, sector wage anchors, geography context, macro labour context, national AI context, offset potential, transition support, and US wage / requirements / skills / narrative layers

Retained baseline trail: Promoted live. The full V4.3 shadow and V5 promotion comparison remain published so the live V7 release can still be audited against the retained V4.3 and V4.2 baselines.

Research memory: 25 canonical research entries are published in the research library and linked to claims/source registry records.

Sources: Live reference-market official statistics and policy data (wages, labour-force context, industry context, demand signals), BLS OEWS, ORS, CPS demographics, Skills Data, OOH, IMDA Singapore Digital Economy Report 2025, IMDA NAIIP 2026, O*NET, Felten AIOE, Pizzinelli/IMF, Anthropic observed usage, Anthropic labor-market impacts, Eloundou GPT exposure, ILO occupational exposure, SOL 2026, Jobs in Demand 2025

Full methodology → V7 release note → Research library →

Release Metadata (46 artifacts)

Manifest version: V7

Manifest generated: 9 Apr 2026, 11:47 am

Score dataset vintage: 2026-04-09

Artifact	Generated	Size	SHA-256
V7 structural score CSV sg-ai-occupations-v7.csv	9 Apr 2026, 11:43 am	270.8 KB	ed3be2ca84fbf3f902985a7eb2ef890393e4bde6e94345c557635d9ca78aa634
V7 structural score JSON sg-ai-occupations-v7.json	9 Apr 2026, 11:43 am	3.14 MB	a0df40920d0e7458862b24e6179f052e305b4c011e06362c84c8bd1a1d2bd472
V4.3 structural score CSV snapshot sg-ai-occupations-v43.csv	9 Apr 2026, 11:43 am	355.0 KB	a2cf27e379fb9cd9afdb84868a51d12bcc6e0aaa5648776af612dca9073a86a9
V4.3 structural score JSON snapshot sg-ai-occupations-v43.json	9 Apr 2026, 11:43 am	4.03 MB	0cd2872762d6f20bedbfecce260538a4e2249dc32cae97c5fba74befafa6450b
V5 structural score CSV snapshot sg-ai-occupations-v5.csv	9 Apr 2026, 11:43 am	367.9 KB	41d9f2678bd959bfbbd6d6cfd0aafb9c4a63ba601ae339413270fab7c089411a
V5 structural score JSON snapshot sg-ai-occupations-v5.json	9 Apr 2026, 11:43 am	4.12 MB	2d9716694eecb86dc1ec3cbb1a508061a3b592b305af7ffe4b71b2f3a1a73621
V4.2 structural score CSV snapshot sg-ai-occupations-v42.csv	9 Apr 2026, 11:43 am	268.0 KB	8faad00e56e86503d75762fbde041145d1108552ec7fc5a4ef48867d369b45cf
V4.2 structural score JSON snapshot sg-ai-occupations-v42.json	9 Apr 2026, 11:43 am	3.02 MB	63029c9709c7b841a694107798d4396428108963120b2f8b75d72b5093b28269
O*NET task and technology enrichment onet-enrichment.json	6 Apr 2026, 5:34 pm	1.33 MB	cc2698082ca62fa3c336815590c1a496f8f0db025f4a49efceedfa5bbff5200f
Singapore context pack sg-context-pack-2025.json	7 Apr 2026, 6:03 pm	653.4 KB	7566a29a6576662dae9170482f69a145e77cf8cc7b7dcb95edfbef6d18c9be5b
Singapore labour monitor sg-labour-monitor-2025.json	1 Apr 2026, 9:22 pm	27.2 KB	cfacd54ba28bc34cb6e9feb32eb09b04e80de669d0056e9ffaa167cd92f9ab13
Singapore worker profile sg-worker-profile-2025.json	28 Mar 2026, 10:19 am	114.5 KB	50dac9fb85e2b7decb34cbf8420d47dc250927da13e654fca9a24647467c0301
Singapore Section D deltas sg-lfr-deltas-2025.json	1 Apr 2026, 9:22 pm	43.6 KB	9642f9b7f5c7a0064389c9643f56b28c9326cde85dda5c5178ec358a4034c70c
Singapore geography context sg-geography-context-2020.json	22 Mar 2026, 12:09 am	12.1 KB	f8722ec53d793e767cfa5f0416d4009a605dcff5b1bdd588ef1a6e7dd09ead60
Singapore macro labour context sg-macro-context-2025.json	22 Mar 2026, 12:09 am	20.4 KB	c2c52768cbf9863fc8d300226f4e2341f15efb53decedca51b9822e0a4ebb7cb
AI in Singapore context sg-ai-in-singapore-2025.json	7 Apr 2026, 5:48 pm	3.7 KB	195efef214bcfa88ae041ad50eb3239fb69f46c5852b288049218568e82ce663
Transition infrastructure layer sg-transition-infrastructure-2025.json	22 Mar 2026, 12:09 am	5.3 KB	87b84dbb236064546184cf5a4abc3784b3ba913649191576043d5d2b7eee5e09
Transition support layer sg-transition-support-v4.json	7 Apr 2026, 5:53 pm	7.34 MB	831a9e8fbc41763416cfa2eaccb5b3a064afc5733430f252cc632be8bc213e5b
United States evidence support bundle countries/us/support.json	7 Apr 2026, 5:49 pm	6.74 MB	3df04c3ed9271b4fcaaf97769ade752f2273e46ef2dc71f5392c920512b41972
Offset potential layer sg-offset-potential-v4.json	22 Mar 2026, 12:09 am	521.5 KB	9512081a46b22df8ef070877688eb1d7235f6a95515ef5ad158af5f13e76d39d
Public claims matrix claims-matrix-v7.json	7 Apr 2026, 6:03 pm	12.5 KB	a8eff060d446bc383d734ef50175c63e0fe42e50dae0bce18d93f1407f5e718f
Public field source map public-field-source-map.json	7 Apr 2026, 6:03 pm	8.7 KB	245c42dc6276425ff9c323c53df2cae2919f68b10d1de67e47e6cb370d6cdc37
V4.3 shadow-model readiness experimental-methodology-v43.json	31 Mar 2026, 1:43 pm	3.5 KB	ad2c460a69a6fe143f5a53725591cc1c3da8e26ef9ffcfef07b666be2286bcdb
V4.3 shadow scores shadow-scores-v43.json	22 Mar 2026, 12:09 am	457.8 KB	b6785e6d65955b9fa5a45c60698328661b9363417fe1547d4fcef7fcfc003179
V4.3 shadow comparison summary shadow-comparison-v43.json	22 Mar 2026, 12:09 am	45.1 KB	341f15b2df9f5809226bad6259cdd845ce8a05422b3f81f1ca79bc95eb58b806
V4.3 shadow validation comparison shadow-validation-v43.json	22 Mar 2026, 12:09 am	1.7 KB	85305cd587df876e88239ab4ec811d7307a1db40806993011c75b255d2f7f4d9
V4.3 shadow anchor review shadow-anchor-review-v43.json	22 Mar 2026, 12:09 am	4.3 KB	95356f8c53808e754ea189189e5a060c7817388071c3b9f6ad1a17a0ccf84355
Research library research-library.json	7 Apr 2026, 5:48 pm	27.8 KB	79ed062311013db17f8de0e75b8913cd9863899edb402bf1a802648ba4cf09a3
V5 roadmap v5-roadmap.json	22 Mar 2026, 12:09 am	6.8 KB	ea41803b92bbf021c5d42ab3aa5376ce83ee5de712b2d6a2b106cb25d9e6df63
V5 sidecar summary v5-sidecars.json	22 Mar 2026, 12:09 am	2.6 KB	482602f3baff31cf9d17cf76c58a1b6c92fb527d398dcf2a554f16dd82bd78e4
V5 augmentation heterogeneity sidecar v5-augmentation-heterogeneity.json	22 Mar 2026, 12:09 am	302.7 KB	958e52c0833124bb7500ff4255c940a8d55b6b731102387c0f9ba8a8549a4de2
V5 empirical mobility sidecar v5-empirical-mobility.json	22 Mar 2026, 12:09 am	511.2 KB	3df66354776c576239cdde454e083ad18e7169372fe793aa8e80bb8074e22679
V5 posterior uncertainty sidecar v5-posterior-uncertainty.json	22 Mar 2026, 12:09 am	622.8 KB	f9fc0b95f646161dd8aa0a84c24e2008fb20e4017a1493acfcdf77758d49553f
V5 realized-risk sidecar v5-realized-risk.json	22 Mar 2026, 12:09 am	791.3 KB	39d0749586570d4a3a521408afdd76fa0fe23de18d1504f644da1edab4d28c6e
V5 experimental model v5-experimental-model.json	6 Apr 2026, 5:35 pm	1.67 MB	fb46f9cce5118a1329bf90ff2261a7bb65592b20366934ac5096274d653cd488
V5 experimental validation v5-experimental-validation.json	6 Apr 2026, 5:35 pm	6.4 KB	a728b51a8542ca2495d09a9728b3d7f20893cabb6c37899cadbd70532703434d
Quarterly report quarterly-report.json	9 Apr 2026, 11:44 am	33.7 KB	f47c6f5e055a6deb54cd234339ecc067e91f194cb8dc667db0bbb002d17a8965
LLMs summary ../llms.txt	7 Apr 2026, 5:52 pm	2.1 KB	fa0a70024ce6a947f10c51e7e0f83ea69d2b8eddb549b2f3a6748f398c5f4f0c
LLMs full reference ../llms-full.txt	7 Apr 2026, 5:52 pm	15.5 KB	00625aba8dac67351ede51008fe956883b348bed0c3b29dd2fc146fece3aaaba
Public site status site-status.json	9 Apr 2026, 11:47 am	3.5 KB	c80dcc4d0357840218d71444d9a80783e803515f68658bda519b6a1cb4aaa13d
Public release history releases.json	9 Apr 2026, 11:47 am	9.2 KB	6c1f199faf3ca57dba2a83b17304ec23e061da161bda9ac6ee57822d443645e0
Current cluster validation backtests/current-validation.json	7 Apr 2026, 5:27 pm	9.4 KB	dddc6b0f6ee8d6bd7f13e3753f37752932547a2f158367b29020197cc3794dec
BLS crosswalk validation backtests/bls-crosswalk-validation.json	22 Mar 2026, 12:09 am	2.7 KB	e21c23711c6e75abb51490ab675dc7d0a9c93a1ed4c27123e566e7fb8cc4ccdf
Multi-period temporal validation backtests/multi-period-validation.json	22 Mar 2026, 12:09 am	5.5 KB	f298e044a308f73ac5f8f43d8385b1ae36056566c18e303373780f94eaabf303
Calibration diagnostics backtests/calibration-diagnostics.json	22 Mar 2026, 12:09 am	5.6 KB	a4ec553ba6d92ed58391d8c1f212919b1a92c079d1529f0a2564077e53f9174f
Occupation-family validation backtests/occupation-family-validation.json	22 Mar 2026, 12:09 am	5.7 KB	52729d4563f4b5320e29503342a3c2c5ddc4d14caecab9c7137fd34b65921282

Checksums are published so downloaded artifacts can be verified against the current release.

Major public claims are also published in a versioned claims matrix with evidence-strength labels, source keys, and research links. The citation layer is also published as research-library.json.

Raw Data Health (31 valid, 0 issues)

Audit generated: 28 Mar 2026, 10:16 am

Summary: 31 valid, 0 placeholder/error, 0 missing, 4 reference-only

Raw Input	Status	Used For	Notes
Postings source registry postings/source-registry.json	Valid	postings pipeline, ATS employer-source ingestion	Valid JSON payload.
Employer pressure seed registry employer-signals-seed.json	Valid	employer pressure pipeline	Valid JSON payload.
Singapore occupations base feed sg_occupations_complete_2024.json	Valid	score pipeline, occupation master list	Valid JSON payload.
Employment by occupation group employment_by_occupation.csv	Valid	score pipeline, market momentum	Header starts with: DataSeries,2025,2024,2023,2022,2021,2020,2019,2018,2017,2016,2015,2014,2013,2012,2011,2010,2009,2008,2007,2005,2004,2003
Median income by occupation group median_income_by_occupation.csv	Valid	score pipeline, market momentum	Header starts with: DataSeries,2023,2022,2021,2020,2019,2018,2017,2016,2015,2014,2013,2012,2011,2010,2009,2008,2007,2004,2003,2002,2001
Vacancy rates by occupation group vacancy_rates_by_occupation_group.csv	Valid	labour monitor	Header starts with: quarter,industry1,industry2,occupation1,job_vacancy_rate
Job vacancies by industry and occupation job_vacancies_by_industry_and_occupation_quarterly.csv	Valid	industry context, labour monitor	Header starts with: DataSeries,20253Q,20252Q,20251Q,20244Q,20243Q,20242Q,20241Q,20234Q,20233Q,20232Q,20231Q,20224Q,20223Q,20222Q,20221Q,2021
Recruitment and resignation rates recruitment_resignation_rates.json	Valid	labour monitor hiring signal	Valid JSON payload.
Recruitment and resignation CSV recruitment_resignation_rates.csv	Reference only	labour monitor troubleshooting	Optional reference/backstop file is not present locally.
Retrenchment by occupation group retrenchment_by_occupation_group.json	Valid	labour monitor retrenchment signal	Valid JSON payload.
Retrenchment by occupation group CSV retrenchment_by_occupation_group.csv	Reference only	labour monitor troubleshooting	Optional reference/backstop file is not present locally.
Labour Force 2024 Section D LFR2024_SectionD.xlsx	Valid	worker profile, employment basis	Workbook sheets: Contents, D1, D2, D3, D4
Labour Force 2025 Section D LFR2025_SectionD.xlsx	Valid	worker profile, employment basis, delta validation	Workbook sheets: Contents, D1, D2, D3, D4
Industry x occupation employment industry_x_occupation.csv	Valid	industry context, industry momentum	Header starts with: DataSeries,2025,2024,2023,2022,2021,2020,2019,2018,2017,2016,2015,2014,2013,2012,2011,2010,2009,2008,2007,2006,2005,2004
Wages by industry wages_by_industry.xlsx	Valid	sector wage anchors	Workbook sheets: Contents, T4, T4.1, T4.2, T4.3
Wages by sex wages_by_sex.xlsx	Valid	worker profile	Workbook sheets: Contents, T1, T1.1, T1.2
Planning area of residence by occupation planning_area_residence_by_occupation.json	Valid	geography context	Valid JSON payload.
Travel time to work by occupation travel_time_to_work_by_occupation.json	Valid	geography context	Valid JSON payload.
Quarterly unemployment rate unemployment_rate_quarterly.json	Valid	macro context	Valid JSON payload.
Job vacancy to unemployed ratio job_vacancy_to_unemployed_ratio.json	Valid	macro context	Valid JSON payload.
WSQ trainees by statement attainment wsq_trainees_by_statement_attainment.json	Valid	transition infrastructure	Valid JSON payload.
Jobs Transformation Maps overview jtm_overview.html	Valid	transition infrastructure	Present locally.
Occupation list workbook occupations_list.xlsx	Reference only	reference	Reference/backstop file present locally, not currently used in the live pipeline.
Felten AIOE appendix AIOE_DataAppendix.xlsx	Valid	exposure ensemble	Workbook sheets: Index, Appendix A, Appendix B, Appendix C, Appendix D
Anthropic job exposure anthropic_job_exposure.csv	Valid	exposure ensemble	Header starts with: occ_code,title,observed_exposure
Eloundou occupation exposure eloundou_gpts_occ_level.csv	Valid	exposure ensemble	Header starts with: O*NET-SOC Code,Title,dv_rating_alpha,dv_rating_beta,dv_rating_gamma,human_rating_alpha,human_rating_beta,human_rating_ga
ILO refined exposure index ilo_genai_scores_isco08_2025.xlsx	Valid	exposure ensemble	Workbook sheets: Sheet1
Anthropic task penetration anthropic_task_penetration.csv	Valid	experimental task-primitives, V4.3 shadow model	Header starts with: task,penetration
O*NET occupation data raw/external/onet/Occupation_Data.txt	Valid	O*NET enrichment	Present locally.
O*NET task statements raw/external/onet/Task_Statements.txt	Valid	O*NET enrichment, experimental task-primitives	Present locally.
O*NET task ratings raw/external/onet/Task_Ratings.txt	Valid	experimental task-primitives, V4.3 shadow model	Present locally.
O*NET technology skills raw/external/onet/Technology_Skills.txt	Valid	O*NET enrichment	Present locally.
Singapore empirical mobility transitions sg_empirical_mobility.json	Valid	experimental transition model, V4.3 shadow model	Valid JSON payload.
BLS occupation projections bls_projections_2024_2034.xlsx	Valid	proxy employment, convergent check	Workbook sheets: Index, Table 1.1, Table 1.2, Table 1.3, Table 1.4
BLS CPS employment bls_cps_employment_2025.xlsx	Reference only	reference	Reference/backstop file present locally, not currently used in the live pipeline.

This audit distinguishes real local raw inputs from missing files and failed download artifacts.

Evidence Tiers

Tier	Meaning
Official local	Direct local government or official-statistics data published at the level shown on the site.
Derived from official local	Rule-based or aggregated fields anchored to official local data or published policy scope.
Cross-country research	Peer-reviewed or multi-country research inputs used for the structural baseline or calibration.
External proxy	Non-local research or external data used as an exposure input, proxy, or cross-check.
Synthetic	Estimated role constructs or illustrative outputs that do not map one-to-one to official occupations.

The employment estimate and wage-pool proxy are intentionally separated. The first is an estimated local allocation from official Labour Force 2025 2-digit occupation-family totals, weighted within each family; the second is a BLS-weighted proxy used only for wage-pool views. Separate live worker-profile context comes from Labour Force 2025 Section D and wages-by-sex tables.

Current labour evidence is also published separately in the reference-market context pack so the structural score and the monitor can be audited independently.

A note on data quality

All scores are deterministic and reproducible. The scoring pipeline uses no LLM in the loop, and every displayed proxy or estimate now carries an explicit basis and evidence tier in the dataset.

Source Registry (52 sources)

Live sources are tracked separately from the structural score. Some sources are already active in the live monitor pipeline; others remain reference or backlog sources and are not yet part of the published monitor.

Source	Tier	Status	Used For
MOM Occupational Wage Survey 2024 2024	Official local	Live	median wages, wage quartiles
MOM / SingStat Detailed SSOC Employment Counts not publicly released	Official local	Requested	official detailed occupation employment
MOM Labour Force 2024 Table D8 2024	Official local	Live	sub-major employment totals, estimated occupation employment basis
MOM Labour Force 2025 Table D8 2025	Official local	Live	sub-major employment totals, estimated occupation employment basis, family delta validation
MOM Employment by Occupation Group 2024	Official local	Live	major-group market momentum
MOM Industry × Occupation 2024	Official local	Live	industry momentum spread, Singapore context support, industry footprint
MOM Labour Force 2024 Section D 2024	Official local	Live	worker profile context, detailed gender anchors, estimated employment basis
MOM Labour Force 2025 Section D 2025	Official local	Live	worker profile context, detailed gender anchors, family delta context, industry workforce context, industry occupation mix context, experimental demand fragility overlay
SingStat Planning Area of Residence by Occupation 2020	Official local	Live	geography context, planning-area concentration
SingStat Travel Time to Work by Occupation 2020	Official local	Live	geography context, commute burden context
US BLS Occupational Projections 2024-2034 2024-2034	Official local	Live	US demand resilience, US employment outlook, US wage context
US BLS CPS Employment 2025 2025	Official local	Live	US current employment context, US calibration
US BLS OEWS 2025	Official local	Available	US wage context, US wage distribution, occupational pay calibration
US BLS Occupational Requirements Survey 2025	Official local	Available	US transition capacity, US work-context friction, US bottleneck calibration
US BLS CPS Demographics by Occupation 2025	Official local	Available	US worker profile, US demographic context, equity and transition framing
US BLS Skills Data 2025	Official local	Available	US skills context, US task and skill explanation
US Occupational Outlook Handbook 2025	Official local	Available	US narrative context, career guidance, work-environment copy
MOM Jobs in Demand 2025 2025	Official local	Live	demand signal, market resilience bonus
MOM Shortage Occupation List 2026 2026	Official local	Live	demand signal, market resilience bonus
MOM Labour Market Reports / monitor series 2025	Official local	Live	labour monitor, quarterly context, cluster vacancy rates
Job Vacancies by Industry and Occupation 2024	Official local	Live	industry context vacancy overlay, cluster vacancy counts
MOM Job Vacancy Rates by Occupation Group 2025	Official local	Live	labour monitor, vacancy validation
MOM Job Vacancy Counts 2025	Official local	Live	labour monitor, vacancy validation
MOM Recruitment and Resignation Rates 2025	Official local	Live	labour monitor hiring signal
MOM / SingStat Retrenchment by Occupation Group 2026	Official local	Live	labour monitor retrenchment signal
SingStat Unemployment Rate, Quarterly, Seasonally Adjusted 2025	Official local	Live	macro context, unemployment context
MOM Job Vacancy to Unemployed Person Ratio 2024	Official local	Live	macro context, labour tightness context
Workforce Singapore Jobs Transformation Maps 2026	Official local	Live	transition infrastructure, transition-support context
SkillsFuture WSQ Trainees by Statement Attainment 2024	Official local	Live	transition infrastructure
SkillsFuture Career Transition Programme 2026	Official local	Live	transition infrastructure, transition-support context
Workforce Singapore Career Conversion Programmes 2026	Official local	Live	transition infrastructure, transition-support context
Workforce Singapore CareersFinder 2025	Official local	Live	transition infrastructure, transition-support context
Wages by Industry 2024	Official local	Live	sector wage anchors, industry context support
Wages by Sex 2024	Official local	Live	worker-profile wage context
IMDA Singapore Digital Economy Report 2025 2025	Official local	Live	AI in Singapore context, reports, national AI adoption framing
IMDA Singapore Digital Economy Report 2025 2025	Official local	Live	AI in Singapore context, reports, national AI adoption framing
IMDA National AI Impact Programme 2026	Official local	Live	AI in Singapore context, national programme framing
MOM Singapore Opportunity Index 2025	Official local	Live	AI in Singapore context, employer-quality context, career mobility framing
Felten AIOE 2021	External proxy	Live	exposure ensemble
Pizzinelli et al. theta 2023	External proxy	Live	human bottleneck
Anthropic Economic Index 2026-01	External proxy	Live	exposure ensemble, observed usage gap
Eloundou GPT Exposure 2023	External proxy	Live	exposure ensemble
ILO Generative AI Exposure Index 2025	External proxy	Live	exposure ensemble
O*NET Occupation Data 2026	External proxy	Live	task and technology enrichment context
O*NET Task Statements 2026	External proxy	Live	task and technology enrichment context
O*NET Technology Skills 2026	External proxy	Live	task and technology enrichment context
O*NET Job Zones 2026	External proxy	Live	education label proxy
US BLS Occupational Projections 2024-2034 2024-2034	External proxy	Live	employment proxy, convergent cross-check
Local wage-floor mapping 2026	Derived from official local	Live	local context
Local licensing mapping 2026	Derived from official local	Live	local context
Labour-dependency mapping 2026	Derived from official local	Live	local context
Transition-program mapping 2026	Derived from official local	Live	local context

Data Dictionary

65 fields across 9 categories. See the methodology page for derivation details.

Identity & classification (4 fields)

Field	Type	Description
ssoc	string	[Singapore] Singapore Standard Occupational Classification code (5-digit detail code).
title	string	Occupation title from the national classification (MOM for Singapore).
major_group	string	Major occupational group key (for example professionals or managers).
education_label	string	Displayed education proxy. Derived from O*NET Job Zones via the country crosswalk.

Wages & employment (11 fields)

Field	Type	Description
gross_wage_median	number	Median gross monthly wage in local currency from MOM 2024 (Singapore).
gross_wage_25th	number	25th percentile gross monthly wage in local currency.
gross_wage_75th	number	75th percentile gross monthly wage in local currency.
employment_thousands	number	Legacy compatibility alias for estimated_sg_employment_thousands. Derived from published Labour Force 2025 2-digit occupation-family totals and weighted within each family. Not an official occupation headcount.
estimated_sg_employment_thousands	number	[Singapore only] Est. Singapore employment for this occupation, derived from published Labour Force 2025 2-digit occupation-family totals and weighted within each family using BLS proxy employment plus Singapore wage information. Not an official occupation headcount.
employment_basis	enum	Basis label for estimated_sg_employment_thousands. Current live basis: Est. local sub-major weighted allocation (2025).
bls_proxy_employment	number	BLS-weighted proxy employment used for wage-pool analysis. This is not an official Singapore occupation headcount.
data_basis.employment_estimate	object	Tier/source metadata for the Singapore employment estimate.
data_basis.wage_pool_proxy	object	Tier/source metadata for the wage-pool proxy field.
labour_monitor_key	enum\|null	Cluster key linking this occupation to the separately published Singapore labour monitor dataset.
group_employment_thousands	number	Official employment total for the broad Singapore occupation group (in thousands).

Core scoring (9 fields)

Field	Type	Description
exposure	number	Live exposure score (0-1). V7 uses a 4-source exposure ensemble with task-concentration amplification.
bottleneck	number	Human bottleneck strength (0-1). Higher means stronger human advantage from judgment, accountability, or interpersonal work.
displacement_pressure	number	Intermediate structural pressure field (0-1). Formula: exposure × (1 - bottleneck).
demand_signal_bonus	number	Additive demand bonus from exact or prefix matches against SOL and Jobs in Demand.
demand_resilience	number	Published V7 demand-resilience field (0-1). Formula: min(1, base_resilience × 0.45 + demand_signal_bonus + 0.10 × demand_persistence).
net_risk	number	Headline displacement risk (0-1). Formula: headline_risk = displacement_pressure × (1 - demand_resilience), where displacement_pressure = exposure × (1 - bottleneck).
risk_band	enum	Categorical risk: very_low (<5%), low (<15%), moderate (<30%), high (<50%), very_high (≥50%).
augmentation	number	Live V7 augmentation potential (0-1). Formula: exposure × bottleneck × market.market_resilience.
impact_type	enum	ai_leveraged \| at_risk \| stable \| mixed, based on displacement and augmentation thresholds.

Market signals (5 fields)

Field	Type	Description
market.market_momentum	number	Broad labour-market momentum signal (0-1).
market.industry_footprint_momentum	number\|null	Industry-footprint employment momentum when occupation-specific industry context is available.
market.market_resolution	enum	How market resilience was resolved for the occupation, for example broad-only or industry-footprint blend.
market.occupation_scarcity	number	Labour shortage signal (0-1), derived from SOL and Jobs in Demand lists.
market.market_resilience	number	Combined market buffer (0-1). Higher means stronger demand protection.

Evidence & provenance (12 fields)

Field	Type	Description
evidence.anthropic_calibrated	boolean	Whether Anthropic observed-usage data is available for this occupation.
evidence.anthropic_gap	number\|null	Observed-usage percentile minus theoretical exposure percentile.
evidence.anthropic_observed_pctile	number\|null	Observed Anthropic usage percentile when a direct Anthropic match exists.
evidence.sol_match	string\|false	Shortage Occupation List match: exact, prefix, or false.
evidence.jobs_in_demand_match	string\|false	Jobs in Demand match: exact, prefix, or false.
evidence.exposure_blend_strategy	enum	Current exposure provenance marker for the deterministic audited 4-source stack.
evidence.exposure_agreement	enum	Agreement across matched exposure sources: consensus_high, consensus_low, aligned_mid, divergent, or insufficient_data.
evidence.exposure_source_weights	object	Normalized per-source weights used inside the exposure ensemble after conditioning on which sources matched this occupation.
evidence.exposure_source_keys	string[]	List of matched exposure sources used by the audited ensemble.
evidence.exposure_source_pctiles	object	Persisted per-source exposure percentiles for the matched AIOE, Anthropic, Eloundou, and ILO inputs.
evidence.signal_conflict	boolean	Whether the occupation has materially conflicting evidence, such as high structural pressure but strong current demand signals.
evidence.signal_conflict_reasons	string[]	Explicit reasons why the occupation is flagged as having conflicting evidence.

Confidence & uncertainty (14 fields)

Field	Type	Description
confidence.score	number	Overall estimate confidence (0-1), combining crosswalk quality, market data, and source freshness.
confidence.exposure_source_count	number	How many exposure sources were available in the audited 4-source exposure stack.
confidence.source_coverage	number	Coverage component of confidence (0-1), based on the number of matched exposure sources.
confidence.signal_agreement	number	Agreement component of confidence (0-1), derived from agreement across available exposure sources.
confidence.sensitivity	number	Sensitivity component of confidence (0-1), derived from the stability stress test.
confidence.level	enum	Final published confidence label. This may be capped below the raw threshold result for fallback, sparse-source, or contested cases.
confidence.threshold_level	enum	Raw threshold label implied by confidence.score before any publication policy cap is applied.
confidence.policy_cap_reason	enum\|null	If present, explains why the published label is more conservative than the raw threshold: insufficient_source_count, fallback_mapping, major_fallback_mapping, or signal_conflict.
uncertainty.exposure_p10	number	10th-percentile interval estimate for exposure.
uncertainty.exposure_p50	number	Median interval estimate for exposure.
uncertainty.exposure_p90	number	90th-percentile interval estimate for exposure.
uncertainty.net_risk_p10	number	10th-percentile interval estimate for net_risk.
uncertainty.net_risk_p50	number	Median interval estimate for net_risk.
uncertainty.net_risk_p90	number	90th-percentile interval estimate for net_risk.

Task primitives (4 fields)

Field	Type	Description
task_primitives.matched_task_weight_share	number\|null	Share of weighted O*NET task importance/frequency that matched the experimental Anthropic task-penetration layer.
task_primitives.task_effective_coverage	number\|null	Experimental task-weighted effective coverage sidecar. Null when weighted task portfolios are not available.
task_primitives.task_exposure_concentration	number\|null	Experimental task-weighted concentration sidecar. Higher means exposure is concentrated into fewer important tasks.
task_primitives.method	enum\|null	Experimental task-primitive method identifier. Null when no weighted task evidence is available for this occupation.

Context & stability (2 fields)

Field	Type	Description
sg_context	object	Local context flags (policy coverage, licensing, labour dependency, transition support).
stability.label	enum	stable \| watch \| sensitive — how much the risk band moves under the Monte Carlo stability check.

Workflow overlay (1 fields)

Field	Type	Description
workflow_overlay.*	object	Heuristic workflow dimensions used by role and scenario tooling. These provide interpretive context rather than direct live-score inputs.