Skip to main content
FG
FutureGrid

Insights Lab

Experimental analytics that connect AI exposure, labor-market history, and 2030 scenario planning.

These are descriptive, exploratory correlations from BLS OEWS 2016–2025 and the Anthropic Economic Index. They are not causal predictions of job loss.

Cross-signal radar

AI pressure synthesis

A compact bridge across model-catalog footprint, readiness gaps, certified LCA filings, SOC opportunity rows, and market-history signals. It shows where signals coexist; it does not claim causality, adoption, traffic, or investment direction.

Descriptive synthesis

Global ecosystem

Model catalog + readiness gaps

Global

OpenRouter provider/model catalog breadth sits beside country readiness-gap percentiles to flag where catalog footprint and national capacity measures differ.

OpenRouter models
344
69 endpoint providers in the public catalog snapshot.
Readiness countries
125
Lebanon has the largest adoption-minus-readiness percentile gap (+39.5 pts).
Data as of Jul 2026Proxy

OpenRouter catalog snapshot · Anthropic country-exposure index · Microsoft AI diffusion report

Open /global context

Talent bottlenecks

H-1B LCAs + SOC opportunities

Talent

Certified LCA filings are combined with SOC projections and job-posting seeds/proxies to surface occupations where labor-demand signals are worth reviewing.

SOC rows joined
972
Rows draw from H-1B, projections, postings, and occupation snapshots when available.
Latest LCA year
FY2025
Also carries job-posting coverage through 2025 where available.
Top SOC row
Market Research Analysts and Marketing Specialists
13-1161; descriptive score 63.6.
Data as of 2025Proxy

DOL OFLC LCA filings · FutureGrid job-posting seeds (proxy)

Open /visa context

Market history

Stocks + market AI sensitivity

Market

Sector ETF sensitivity and AI-company adjusted-close history are presented as descriptive market records, not forecasts or recommendations.

Sector proxies
11
XLC; descriptive sensitivity score 99.5.
AI companies
47
Latest stock date 2026-07-13; benchmarks SPY / QQQ / SOXX.
Positive 1Y breadth
34 / 47
Count of tracked companies with positive one-year adjusted-close returns.
Data as of Jul 2026Descriptive-only

Yahoo Finance historical data (unofficial endpoint) · BLS occupation market-signal proxies

Jump to market sensitivityJump to stock signals

Read as descriptive, not causal

  • OpenRouter footprint is a provider/model catalog proxy, not usage, traffic, demand, or deployment geography.
  • H-1B values are certified Labor Condition Application filings, not visa approvals.
  • Stock and ETF data are delayed historical market observations, not investment advice or forecasts.
  • Job postings may be provider-ready seed/proxy data and should be treated as directional coverage.

Signal convergence

Evidence Convergence

A scannable summary across all convergence conclusions. Select a view link to explore detail, or scroll down to the full Evidence Stack.

Generated 2026-07-03

Caveat: Not every data source is a chart; each source family supports or qualifies the conclusion rows below.

  1. AgreementHigh confidence

    AI exposure is broad, but concentrated.

    Open view →
  2. MixedMedium confidence

    Exposure vs. employment and wage outcomes is mixed.

    Open view →
  3. MixedHigh confidence

    Capability and usage lenses differ.

    Open view →
  4. Coverage gapMedium confidence

    Labor stress is localized and coverage-sensitive.

    Open view →
  5. WatchLow confidence

    Market signal is a descriptive proxy, not a forecast.

    Open view →
  6. MixedHigh confidence

    Global adoption differs by metric and country.

    Open view →
  7. WatchMedium confidence

    Skills and reskilling pathways are action-oriented, not assured outcomes.

    Open view →

Overview

Evidence Stack: where signals agree

A synthesis layer connects conclusions to source families, signal agreement, disagreement, coverage gaps, and caveats.

Not every data source is a chart; each source family supports or qualifies the conclusion rows below.

Conclusion rows
7
Source families
9
Latest source date
2026-07-03

Source-family strip

Not every source is a standalone chart; each family supports or qualifies the matrix.

Open source notes →

Agreement matrix

Rows are conclusions; columns show which source families support, qualify, or leave gaps.

AgreementMixedCoverage gapWatch

01

Exposure → Outcome Reality Matrix

Gap between AI capability potential and current adoption, plotted against historical employment and wage outcomes by occupation.

745 occupations · Outcome window: 2019–2025

Disruption Index:Lower disruption signalHigher disruption signal

Correlations (Pearson r)

Descriptive Pearson r · exploratory only · correlation ≠ causation

Capability × emp growth+0.12
Capability × wage growth-0.23
Gap × emp growth+0.14
Gap × wage growth-0.17

Methodology & provenance

  • · Descriptive/exploratory only: all statistics summarise historical associations; correlation ≠ causation.
  • · Capability potential (llm-exposure) measures what GPT-4-class models can perform on occupation task profiles — not current AI deployment or worker displacement.
  • · Usage proxy (occupation-snapshot aiExposure) reflects adoption-signal estimates, not directly observed market data.

Occupation ranks (mobile view)

Computer Programmers

Computer and Mathematical

#1
Gap (pp): +20.50ppEmployment growth: -12.10%Wage growth: +2.50%

Data Entry Keyers

Office and Administrative Support

#2
Gap (pp): +22.20ppEmployment growth: -3.80%Wage growth: +3.60%

Medical Transcriptionists

Healthcare Support

#3
Gap (pp): +23.80ppEmployment growth: -4.80%Wage growth: +3.20%

Medical Records Specialists

Healthcare Practitioners and Technical

#4
Gap (pp): -4.90ppEmployment growth: +1.90%Wage growth: +2.30%

Desktop Publishers

Office and Administrative Support

#5
Gap (pp): +18.10ppEmployment growth: -14.80%Wage growth: +3.30%

Software Quality Assurance Analysts and Testers

Computer and Mathematical

#6
Gap (pp): +35.70ppEmployment growth: -0.40%Wage growth: +1.50%

Financial and Investment Analysts

Business and Financial Operations

#7
Gap (pp): -11.00ppEmployment growth: +5.50%Wage growth: +2.90%

Database Architects

Computer and Mathematical

#8
Gap (pp): +33.20ppEmployment growth: +7.40%Wage growth: +3.10%

Web Developers

Computer and Mathematical

#9
Gap (pp): +45.30ppEmployment growth: -4.60%Wage growth: +4.70%

Political Scientists

Life, Physical, and Social Science

#10
Gap (pp): +2.70ppEmployment growth: -1.30%Wage growth: +2.50%

Switchboard Operators, Including Answering Service

Office and Administrative Support

#11
Gap (pp): +24.30ppEmployment growth: -10.80%Wage growth: +4.00%

Survey Researchers

Life, Physical, and Social Science

#12
Gap (pp): +19.30ppEmployment growth: -3.00%Wage growth: +2.70%

Computer User Support Specialists

Computer and Mathematical

#13
Gap (pp): +14.20ppEmployment growth: +1.70%Wage growth: +2.80%

Mathematical Science Teachers, Postsecondary

Education, Training, and Library

#14
Gap (pp): +11.00ppEmployment growth: -1.20%Wage growth: +1.40%

Mathematical Science Occupations, All Other

Computer and Mathematical

#15
Gap (pp): +38.80ppEmployment growth: -1.60%Wage growth: +6.90%

Human Resources Assistants, Except Payroll and Timekeeping

Office and Administrative Support

#16
Gap (pp): +21.60ppEmployment growth: -4.30%Wage growth: +3.40%

Public Relations Specialists

Arts, Design, Entertainment, Sports, and Media

#17
Gap (pp): +13.80ppEmployment growth: +2.50%Wage growth: +3.40%

Customer Service Representatives

Office and Administrative Support

#18
Gap (pp): -13.30ppEmployment growth: -1.90%Wage growth: +4.30%

Travel Agents

Sales and Related

#19
Gap (pp): +15.80ppEmployment growth: -3.10%Wage growth: +3.60%

Securities, Commodities, and Financial Services Sales Agents

Sales and Related

#20
Gap (pp): +16.50ppEmployment growth: +1.90%Wage growth: +4.00%

02

Exposure Lenses

Compare what workers use today against what AI systems could do, plus older automation theory.

756 occupations with both capability and usage lenses; larger bubbles mean more employment.

Usage ~ capability r 0.64 · n 756

Lens agreement

Adoption / usage ~ Capability0.64
Adoption / usage ~ AI ability0.54
Adoption / usage ~ Automation baseline-0.14
Capability ~ AI ability0.84
Capability ~ Automation baseline-0.29
AI ability ~ Automation baseline-0.42

Automation flip: historical computerization risk is negatively correlated with modern AI exposure lenses.

Hovered occupation lenses

Telephone Operators

Adoption / usage0.0%
Capability89.5%
AI ability87.9%
Automation baseline97.0%

Capability–adoption gap leaders

Largest capability minus usage gaps: AI could help, but adoption is still low.

03

Market AI Sensitivity

A descriptive market-history lens comparing employment-weighted AI exposure with sector ETF excess return versus SPY.

Maps 11 sector ETF proxies: x is employment-weighted AI exposure and y is ETF excess return versus SPY since 2022-11-30.

Market-implied, descriptive
Scatter plot of employment-weighted AI exposure versus sector ETF excess return11 sector ETF proxies compare AI exposure with excess return versus SPY since 2022-11-30; bubble size reflects mapped employment.0%25%50%75%100%-96.3%-45.9%+4.5%+54.9%+105.3%Higher exposureAbove SPYEmployment-weighted AI exposureETF excess return vs SPYXLCCommunication Services (XLC): Employment-weighted AI exposure 26.1%, ETF excess return vs SPY +32.5%, Mapped employment 14.0M, Score 99.5.XLKTechnology (XLK): Employment-weighted AI exposure 22.7%, ETF excess return vs SPY +80.9%, Mapped employment 9.3M, Score 94.6.XLFFinancials (XLF): Employment-weighted AI exposure 26.4%, ETF excess return vs SPY -28.6%, Mapped employment 38.6M, Score 35.0.XLIIndustrials (XLI): Employment-weighted AI exposure 3.9%, ETF excess return vs SPY -5.5%, Mapped employment 49.1M, Score 27.7.XLREReal Estate (XLRE): Employment-weighted AI exposure 21.0%, ETF excess return vs SPY -63.3%, Mapped employment 51.3M, Score 27.1.XLYConsumer Discretionary (XLY): Employment-weighted AI exposure 13.2%, ETF excess return vs SPY -29.1%, Mapped employment 35.3M, Score 15.9.XLPConsumer Staples (XLP): Employment-weighted AI exposure 10.6%, ETF excess return vs SPY -71.9%, Mapped employment 32.6M, Score 12.2.XLVHealth Care (XLV): Employment-weighted AI exposure 4.4%, ETF excess return vs SPY -69.5%, Mapped employment 15.0M, Score 3.2.XLEEnergy (XLE): Employment-weighted AI exposure 2.6%, ETF excess return vs SPY -51.9%, Mapped employment 16.4M, Score 0.6.XLUUtilities (XLU): Employment-weighted AI exposure 2.6%, ETF excess return vs SPY -49.6%, Mapped employment 16.4M, Score 0.6.XLBMaterials (XLB): Employment-weighted AI exposure 2.2%, ETF excess return vs SPY -61.5%, Mapped employment 17.3M, Score 0.0.
  • Communication Services (XLC): Employment-weighted AI exposure 26.1%, ETF excess return vs SPY +32.5%, Mapped employment 14.0M, Score 99.5.
  • Technology (XLK): Employment-weighted AI exposure 22.7%, ETF excess return vs SPY +80.9%, Mapped employment 9.3M, Score 94.6.
  • Financials (XLF): Employment-weighted AI exposure 26.4%, ETF excess return vs SPY -28.6%, Mapped employment 38.6M, Score 35.0.
  • Industrials (XLI): Employment-weighted AI exposure 3.9%, ETF excess return vs SPY -5.5%, Mapped employment 49.1M, Score 27.7.
  • Real Estate (XLRE): Employment-weighted AI exposure 21.0%, ETF excess return vs SPY -63.3%, Mapped employment 51.3M, Score 27.1.
  • Consumer Discretionary (XLY): Employment-weighted AI exposure 13.2%, ETF excess return vs SPY -29.1%, Mapped employment 35.3M, Score 15.9.
  • Consumer Staples (XLP): Employment-weighted AI exposure 10.6%, ETF excess return vs SPY -71.9%, Mapped employment 32.6M, Score 12.2.
  • Health Care (XLV): Employment-weighted AI exposure 4.4%, ETF excess return vs SPY -69.5%, Mapped employment 15.0M, Score 3.2.
  • Energy (XLE): Employment-weighted AI exposure 2.6%, ETF excess return vs SPY -51.9%, Mapped employment 16.4M, Score 0.6.
  • Utilities (XLU): Employment-weighted AI exposure 2.6%, ETF excess return vs SPY -49.6%, Mapped employment 16.4M, Score 0.6.
  • Materials (XLB): Employment-weighted AI exposure 2.2%, ETF excess return vs SPY -61.5%, Mapped employment 17.3M, Score 0.0.

Top sector proxy ranking

Ranked by market AI sensitivity score, with returns measured against SPY.

Methodology

  1. Map occupations into sector ETF proxies and weight AI exposure by employment.
  2. Compare each sector ETF return with SPY over the same historical window; the y-axis is ETF minus benchmark return.
  3. Volatility and drawdown summarize realized price history; they do not describe future moves.

Source and caveat

Price source: Yahoo Finance chart JSON endpoint; benchmark SPY; window 2022-11-30–2026-07-13.

Sector ETFs are market proxies, not exact sector fundamentals. The Yahoo Finance chart JSON endpoint is public and unauthenticated but unofficial/undocumented, so availability and fields may change or rate-limit. This lens is descriptive history, not investment advice, not a prediction, and not causal proof.

04

AI company stock signals

Descriptive historical adjusted-close data for a public AI company watchlist, benchmarked against broad market baskets.

AI company stock signals

Data as of Jul 2026

Tracks public-company AI infrastructure, platform, model-lab proxy, enterprise software, and data-center categories using historical adjusted-close observations.

Historical, descriptive

Finance-safe caveat

Delayed historical adjusted-close data; descriptive only. Not investment advice, not a forecast, not a guarantee, and not a recommendation.

Companies tracked
47
Latest date
2026-07-13
Positive 1Y breadth
34 / 47
72.3%
Benchmark basket
SPY / QQQ / SOXX

Category breadth and 1Y returns

Cyan bars count companies with positive 1Y returns; violet/amber bars summarize average 1Y category return.

Bar chart of AI company stock category breadth and average one-year returnsEach category shows positive one-year breadth and average one-year return from delayed historical adjusted-close data.0%25%50%75%100%Semiconductors, equipment & EDA15/16+170.6%Cloud and AI platforms4/9-0.1%AI cloud, platforms & infrastructure5/11+23.5%Public model-lab proxies2/4+12.2%Enterprise AI software4/9-1.2%Data center, power & networking10/11+74.3%AI memory, interconnect & storage8/8+208.3%
Positive 1Y breadthAverage 1Y return
  • Semiconductors, equipment & EDA: 15 of 16 companies have positive 1Y returns; average 1Y return +170.6%.
  • Cloud and AI platforms: 4 of 9 companies have positive 1Y returns; average 1Y return -0.1%.
  • AI cloud, platforms & infrastructure: 5 of 11 companies have positive 1Y returns; average 1Y return +23.5%.
  • Public model-lab proxies: 2 of 4 companies have positive 1Y returns; average 1Y return +12.2%.
  • Enterprise AI software: 4 of 9 companies have positive 1Y returns; average 1Y return -1.2%.
  • Data center, power & networking: 10 of 11 companies have positive 1Y returns; average 1Y return +74.3%.
  • AI memory, interconnect & storage: 8 of 8 companies have positive 1Y returns; average 1Y return +208.3%.

Source and mode

Source
Static adjusted-close fixture sourced from Yahoo Finance chart JSON
Mode
committed-static-fixture
Access
Committed fixture; no network or credentials required for CI rebuilds

Fixture was bootstrapped from the same public Yahoo chart JSON source already used by data/market-ai-signals.json; Yahoo is unofficial/undocumented and may change, so CI uses only the committed fixture unless ALPHA_VANTAGE_API_KEY is supplied.

  • Descriptive historical signals only; no investment advice, no forecast, and no guaranteed future outcome.
  • Company selection is a small AI watchlist and is not a complete public-market universe.
  • Relative returns are descriptive benchmark comparisons, not causal estimates of AI exposure.

Company metrics

Returns, drawdown, volatility, and relative returns are descriptive historical calculations over the available adjusted-close window.

Ticker / companyCategory1M return6M return1Y returnMax drawdownVolatilityRelative return vs QQQ / SPY
MUMicron TechnologySemiconductors, equipment & EDA-18.8%+126.0%+759.9%-41.2%69.3%QQQ +733.3%SPY +740.1%
INTCIntelSemiconductors, equipment & EDA-26.1%+121.9%+420.8%-55.6%72.8%QQQ +394.2%SPY +401.0%
NBISNebius GroupAI cloud, platforms & infrastructure-23.8%+147.1%+286.8%-36.0%87.1%QQQ +260.2%SPY +266.9%
LRCXLam ResearchSemiconductors, equipment & EDA-23.9%+41.6%+249.8%-32.1%46.7%QQQ +223.2%SPY +230.0%
DELLDell TechnologiesData center, power & networking-1.0%+274.4%+225.4%-34.0%57.9%QQQ +198.9%SPY +205.6%
AMATApplied MaterialsSemiconductors, equipment & EDA-20.4%+79.0%+221.9%-38.1%48.0%QQQ +195.3%SPY +202.1%
AMDAdvanced Micro DevicesSemiconductors, equipment & EDA-8.0%+125.7%+203.1%-49.4%62.1%QQQ +176.5%SPY +183.3%
MRVLMarvell TechnologySemiconductors, equipment & EDA-27.0%+175.8%+171.2%-48.2%64.4%QQQ +144.7%SPY +151.4%
ALABAstera LabsSemiconductors, equipment & EDA-25.0%+140.4%+164.8%-54.9%91.6%QQQ +138.2%SPY +145.0%
KLACKLASemiconductors, equipment & EDA-26.3%+56.0%+154.5%-26.3%43.7%QQQ +127.9%SPY +134.6%
ASMLASMLSemiconductors, equipment & EDA-13.2%+21.7%+149.8%-34.8%38.7%QQQ +123.2%SPY +129.9%
HPEHewlett Packard EnterpriseData center, power & networking+4.7%+121.6%+133.1%-27.1%40.3%QQQ +106.5%SPY +113.2%
CRDOCredo Technology GroupAI memory, interconnect & storage-12.9%+89.1%+112.4%-50.0%78.3%QQQ +85.8%SPY +92.5%
ARMArm HoldingsSemiconductors, equipment & EDA-15.7%+183.8%+111.5%-38.0%76.6%QQQ +84.9%SPY +91.6%
VRTVertivData center, power & networking-8.6%+64.4%+110.3%-43.4%51.9%QQQ +83.7%SPY +90.5%
DDOGDatadogEnterprise AI software-0.0%+101.2%+85.9%-35.1%52.3%QQQ +59.3%SPY +66.1%
GOOGLAlphabetCloud and AI platforms-1.4%+4.4%+84.2%-24.1%31.6%QQQ +57.6%SPY +64.4%
CSCOCisco SystemsData center, power & networking+1.9%+53.7%+78.8%-9.4%23.0%QQQ +52.2%SPY +59.0%
TSMTaiwan Semiconductor ManufacturingSemiconductors, equipment & EDA-11.7%+28.2%+76.4%-20.4%30.4%QQQ +49.8%SPY +56.6%
CLSCelesticaAI memory, interconnect & storage-5.4%+22.8%+72.7%-36.2%59.5%QQQ +46.1%SPY +52.9%
GEVGE VernovaData center, power & networking-11.3%+43.7%+58.3%-18.1%39.4%QQQ +31.7%SPY +38.4%
ANETArista NetworksData center, power & networking+6.6%+27.8%+47.0%-32.8%40.6%QQQ +20.4%SPY +27.2%
MDBMongoDBEnterprise AI software+0.6%-9.0%+42.1%-61.5%63.9%QQQ +15.5%SPY +22.2%
AVGOBroadcomSemiconductors, equipment & EDA+1.7%+16.3%+31.7%-27.6%42.8%QQQ +5.1%SPY +11.9%
NETCloudflareEnterprise AI software+9.9%+52.0%+29.8%-32.0%48.4%QQQ +3.2%SPY +9.9%
BIDUBaiduAI cloud, platforms & infrastructure-0.8%-26.0%+29.0%-27.3%39.1%QQQ +2.5%SPY +9.2%
QCOMQualcommSemiconductors, equipment & EDA-0.4%+22.6%+28.0%-34.4%43.5%QQQ +1.4%SPY +8.2%
PSTGPure StorageAI memory, interconnect & storage-4.4%+8.4%+26.6%-40.2%47.0%QQQ +0.0%SPY +6.8%
SNOWSnowflakeEnterprise AI software+5.6%+39.4%+20.2%-50.4%60.6%QQQ -6.4%SPY +0.4%
IBMIBMAI cloud, platforms & infrastructure+3.2%-4.1%+17.6%-24.7%33.8%QQQ -9.0%SPY -2.3%
NVDANVIDIASemiconductors, equipment & EDA+1.7%+6.6%+14.6%-21.6%35.1%QQQ -12.0%SPY -5.3%
ETNEatonData center, power & networking-5.5%+15.3%+5.9%-27.3%29.0%QQQ -20.6%SPY -13.9%
AMZNAmazonCloud and AI platforms+3.8%+3.3%+5.6%-22.4%28.4%QQQ -20.9%SPY -14.2%
CDNSCadence Design SystemsSemiconductors, equipment & EDA+0.7%+27.5%+3.7%-23.8%28.9%QQQ -22.9%SPY -16.2%
BABAAlibaba GroupAI cloud, platforms & infrastructure+17.1%-33.1%-6.0%-45.8%43.9%QQQ -32.6%SPY -25.8%
METAMeta PlatformsCloud and AI platforms+16.6%-8.2%-14.8%-26.9%34.1%QQQ -41.4%SPY -34.6%
PLTRPalantirEnterprise AI software+11.5%-11.3%-17.9%-41.8%55.9%QQQ -44.5%SPY -37.7%
MSFTMicrosoftCloud and AI platforms+4.8%-8.7%-26.1%-30.2%25.1%QQQ -52.7%SPY -46.0%
CRWVCoreWeaveAI cloud, platforms & infrastructure-16.3%-10.6%-27.0%-56.1%120.6%QQQ -53.6%SPY -46.8%
SNPSSynopsysSemiconductors, equipment & EDA-2.7%-6.7%-31.5%-37.4%33.0%QQQ -58.1%SPY -51.4%
CRMSalesforceEnterprise AI software+9.3%-18.9%-33.2%-53.6%32.4%QQQ -59.7%SPY -53.0%
ADBEAdobeEnterprise AI software+12.5%-21.4%-35.5%-66.8%32.5%QQQ -62.1%SPY -55.4%
NOWServiceNowEnterprise AI software+12.1%-4.9%-41.0%-58.3%42.2%QQQ -67.6%SPY -60.9%
SAPSAPAI cloud, platforms & infrastructure+3.8%-19.0%-43.2%-48.4%25.7%QQQ -69.8%SPY -63.1%
ORCLOracleCloud and AI platforms-9.9%-19.5%-47.6%-52.7%55.3%QQQ -74.2%SPY -67.4%
SMCISuper Micro ComputerData center, power & networking-5.7%-5.0%-53.1%-77.5%89.4%QQQ -79.7%SPY -72.9%
AIC3.aiEnterprise AI software+0.8%-16.8%-61.1%-78.6%65.2%QQQ -87.7%SPY -81.0%

05

2030 Employment Forecast

Contrast historical employment with baseline and AI-adjusted scenarios through 2030.

AI-adjusted scenario: −1.9M jobs vs baseline by 2030

National view uses the bundled default sensitivity scenario.

Select an occupation to make the sensitivity slider reactive.

What-if scenario only: the 4% maximum annual drag and sensitivity slider are user-adjustable illustrative assumptions — not empirically calibrated forecasts or FutureGrid predictions. The Baseline line shows the BLS-derived projection.

06

AI Forces

Track AI hiring demand and AI-attributed layoffs on the same timeline.

AI demand is rising while AI-attributed layoffs are also rising.

The line shows AI-related hiring demand; the bars show US job cuts employers attributed to AI.

Latest demand

5.62%

Latest US cuts

54.8K

Caption: Indeed is a job-posting share by country; Challenger is US-national, self-reported job cuts. Source note: US-national, employer-announced job cuts where "AI"/Artificial Intelligence was cited as the stated reason by Challenger, Gray & Christmas; self-reported announced plans, not necessarily realized layoffs. Monthly points are included only where directly verifiable from the community-compiled Challenger passages; annual 2023–2025 totals are verified constants.

07

AI Disruption Index

Rank occupations and sectors using exposure, employment momentum, wage momentum, and outlook signals.

Showing 10 of 745

RankOccupationScore

Weights: AI exposure 40% · employment weakness 25% · wage stagnation 20% · lack of bright outlook 15%.