Computer and Information Research Scientists
Computer & MathematicalAI exposure
- Data source: BLSPublished: 2026-08
Very high· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.340
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.49
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 21% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 10 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Analyze problems to develop solutions involving computer hardware and software.15-1221 | 0.050062.5 | 0.110084.6 |
Evaluate project plans and proposals to assess feasibility issues.15-1221 | 0.010012.5 | 0.01007.7 |
Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.15-1221 | 0.010012.5 | 0.00000.0 |
Develop and interpret organizational goals, policies, and procedures.15-1221 | 0.010012.5 | 0.00000.0 |
Direct daily operations of departments, coordinating project activities with other departments.15-1221 | 0.00000.0 | 0.01007.7 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Analyze problems to develop solutions involving computer hardware and software.O*NET Task ID 14623 | 1.0 |
Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.O*NET Task ID 14626 | 1.0 |
Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers.O*NET Task ID 14629 | 1.0 |
Develop performance standards, and evaluate work in light of established standards.O*NET Task ID 14632 | 1.0 |
Design computers and the software that runs them.O*NET Task ID 14633 | 1.0 |
Assign or schedule tasks to meet work priorities and goals.O*NET Task ID 14624 | 0.5 |
Evaluate project plans and proposals to assess feasibility issues.O*NET Task ID 14625 | 0.5 |
Consult with users, management, vendors, and technicians to determine computing needs and system requirements.O*NET Task ID 14627 | 0.5 |
Develop and interpret organizational goals, policies, and procedures.O*NET Task ID 14630 | 0.5 |
Maintain network hardware and software, direct network security measures, and monitor networks to ensure availability to system users.O*NET Task ID 14634 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page