Occupation Explorer

AI Exposure Across 923 Occupations

Browse exposure scores from four sources: OpenAI AI-rated & human-rated tiers, Brynjolfsson et al. SML scores, and Anthropic behavioral data (task success, AI autonomy, work use). Switch sources using the dropdown.

High exposure ≥ 66%
Medium exposure 33–65%
Low exposure < 33%
Source: OpenAI Occupational Exposure Ratings
Source: OpenAI Occupational Exposure Ratings & Brynjolfsson, Mitchell & Rock (2018) · 923 occupations · O*NET-SOC codes. Data access by request. Cite as: Aghabarari (2026) DOI: 10.5281/zenodo.20320112
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Occupations
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Avg GAIA-E
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High exposure ≥66%
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Low exposure <33%
Avg AI exposure by sector (%) — click a bar to filter ↓

Each bar is a sector's average exposure score. Sectors at the top have the most AI-performable tasks today. Click any bar to filter the whole page to that sector.

How exposure is distributed (% of occupations)

Counts how many occupations fall in each exposure band. The shaded overlay is your current filter, so you can see where a sector or search result sits versus all 923 jobs.

Wages & AI exposure 3 charts · BLS OEWS, May 2024 — click to expand
Median annual wage (USD) vs AI exposure (%, GAIA-E) — each dot is an occupation, colored by sector

Tests the "will AI replace high-paid work?" question. The cloud tilts slightly upward — higher-exposure jobs tend to pay more, because exposure tracks cognitive, knowledge-based tasks rather than low-wage manual ones.

Median wage by sector (USD) — click a bar to filter ↓

Typical pay in each sector, so you can read exposure and wages side by side. Click a bar to filter the page to that sector.

Wage distribution (count of occupations)

How occupations spread across wage bands. The overlay reflects your current filter, so a sector's pay profile stands out against the full set.

The GAIA-E landscape

Distribution of GAIA-E Score

All 923 occupations · index points (0–100)

Source: GAIA-E composite (gaia_e ×100), Feb 2026 AEI release. Shaded band = interquartile range.

Mean GAIA-E by occupation group

Major O*NET occupation groups · sorted

Source: GAIA-E composite (gaia_e ×100), Feb 2026 AEI release.

The sector lens

Which parts of the workforce are most exposed — and where the workers and wages actually sit. Employment-weighted using US BLS data.

Sector map: exposure × wage × employment

Bubble size = US employment · quadrant lines at the medians

Source: GAIA-E (Eloundou 2024) × BLS OEWS employment & median wage, by major occupation group.

Exposure by occupation group

Employment-weighted mean GAIA-E (index points)

Source: GAIA-E weighted by BLS OEWS employment.

SOC Code ↕ Occupation ↕ Sector ↕ GAIA-E ↓ GAIA-B ↕ Alpha ↕ Beta ↕ Gamma ↕ Median Wage ↕