Feb 2026 · 178 Countries · 923 Occupations

Mapping AI adoption across the global economy

DOI: 10.5281/zenodo.20320112 CC BY 4.0

GAIA combines observed AI usage data, theoretical exposure measures, and pre-generative AI baselines into a unified index tracking how artificial intelligence is reshaping work across occupations and economies worldwide.

Explore Occupations ↗ Country Data →

Data access by request. Cite as: Aghabarari (2026) DOI: 10.5281/zenodo.20320112

178
Countries tracked
via Claude.ai behavioral data
923
Occupations rated
O*NET-SOC standard codes
70%
Global task-success rate
across all Claude.ai requests
34.5%
Avg AI exposure
across all occupations (beta)
How AI is being used

Work is the leading use case — ahead of personal and coursework

Nearly half of all Claude.ai requests in February 2026 were work-related. Personal use follows at 42%, and educational use accounts for 12% — signaling that AI has already crossed from experimentation into daily professional workflows.

  • 45.2%
    Work
  • 42.3%
    Personal
  • 12.4%
    Coursework
Occupation exposure

Which jobs are most — and least — exposed to AI?

AI-rated exposure (beta) estimates the share of tasks within an occupation that AI can meaningfully assist with. Knowledge-intensive roles lead; physical and service roles trail.

Highest AI exposure
Mathematicians
100%
Proofreaders & Copy Markers
98%
Blockchain Engineers
97%
Correspondence Clerks
96%
Court Reporters
96%
Lowest AI exposure
Athletes & Sports Competitors
0%
Orderlies
0%
Cooks, Fast Food
0%
Cooks, Short Order
0%
Dining Room Attendants
0%
Browse all 923 occupations →
Human–AI collaboration

How people collaborate with AI at work

Claude.ai logs show six distinct collaboration modes. Directive use — giving direct instructions to complete tasks — dominates, followed by task iteration and learning.

32.6%
Directive
User issues explicit instructions for AI to execute
25.6%
Task Iteration
Refining outputs through back-and-forth exchanges
22.4%
Learning
Using AI to build understanding or gain knowledge
11.5%
Feedback Loop
Giving AI structured feedback to improve responses
4.9%
Validation
AI checks or confirms human-generated work
3.0%
None / Other
Unclassified or minimal interaction patterns