Academic Advisors
Education & TrainingAI 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
0.000
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.45
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, 25% 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 8 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Advise farmers and demonstrate techniques in areas such as feeding and health maintenance of livestock, growing and harvesting practices, and financial planning.25-9021 | 0.007722.6 | 0.001820.7 |
Provide direct assistance to farmers by performing activities such as purchasing or selling products and supplies, supervising properties, and collecting soil and herbage samples for testing.25-9021 | 0.006117.9 | 0.001517.2 |
Maintain records of services provided and the effects of advice given.25-9021 | 0.006017.6 | 0.005462.1 |
Research information requested by farmers.25-9021 | 0.005115.0 | —0 |
Collaborate with social service and health care professionals to advise individuals and families on home management practices such as budget planning, meal preparation, and time management.25-9021 | 0.004011.7 | —0 |
Prepare and distribute leaflets, pamphlets, and visual aids for educational and informational purposes.25-9021 | 0.003410.0 | —0 |
Conduct classes or deliver lectures on subjects such as nutrition, home management, and farming techniques.25-9021 | 0.00185.3 | —0 |
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 |
|---|---|
Maintain records of services provided and the effects of advice given.O*NET Task ID 10980 | 1.0 |
Collaborate with producers to diagnose and prevent management and production problems.O*NET Task ID 10974 | 0.5 |
Conduct classes or deliver lectures on subjects such as nutrition, home management, and farming techniques.O*NET Task ID 10975 | 0.5 |
Research information requested by farmers.O*NET Task ID 10977 | 0.5 |
Prepare and distribute leaflets, pamphlets, and visual aids for educational and informational purposes.O*NET Task ID 10978 | 0.5 |
Collect and evaluate data to determine community program needs.O*NET Task ID 10979 | 0.5 |
Collaborate with social service and health care professionals to advise individuals and families on home management practices, such as budget planning, meal preparation, and time management.O*NET Task ID 10983 | 0.5 |
Conduct agricultural research, analyze data, and prepare research reports.O*NET Task ID 10985 | 0.5 |
Act as an advocate for farmers or farmers' groups.O*NET Task ID 10986 | 0.5 |
Set and monitor production targets.O*NET Task ID 10988 | 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