Computational Linguists
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
0.461
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
Exposed tasks only| Task | Claude.aiRaw / share % |
|---|---|
Draw conclusions or make predictions based on data summaries or statistical analyses.15-2041 | 0.169513.1 |
Evaluate sources of information to determine any limitations in terms of reliability or usability.15-2041 | 0.162512.6 |
Prepare appropriate formatting to data sets as requested.15-2041 | 0.12389.6 |
Identify relationships and trends in data, as well as any factors that could affect the results of research.15-2041 | 0.09897.7 |
Report results of statistical analyses, including information in the form of graphs, charts, and tables.15-2041 | 0.07575.9 |
Process large amounts of data for statistical modeling and graphic analysis, using computers.15-2041 | 0.07325.7 |
Examine theories, such as those of probability and inference, to discover mathematical bases for new or improved methods of obtaining and evaluating numerical data.15-2041 | 0.06795.3 |
Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.15-2041 | 0.05904.6 |
Develop an understanding of fields to which statistical methods are to be applied to determine whether methods and results are appropriate.15-2041 | 0.05884.6 |
Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.15-2041 | 0.05864.5 |
| Not observed on any surface — 26 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Evaluate the statistical methods and procedures used to obtain data to ensure validity, applicability, efficiency, and accuracy. | —0 |
Plan data collection methods for specific projects and determine the types and sizes of sample groups to be used. | —0 |
Supervise and provide instructions for workers collecting and tabulating data. | —0 |
Apply sampling techniques or use complete enumeration bases to determine and define groups to be surveyed. | —0 |
Adapt statistical methods to solve specific problems in many fields, such as economics, biology, and engineering. | —0 |
Teach graduate or continuing education courses or seminars in biostatistics. | —0 |
Prepare statistical data for inclusion in reports to data monitoring committees, federal regulatory agencies, managers, or clients. | —0 |
Prepare articles for publication or presentation at professional conferences. | —0 |
Calculate sample size requirements for clinical studies. | —0 |
Assign work to biostatistical assistants or programmers. | —0 |
Monitor clinical trials or experiments to ensure adherence to established procedures or to verify the quality of data collected. | —0 |
Develop or use mathematical models to track changes in biological phenomena such as the spread of infectious diseases. | —0 |
Design or maintain databases of biological data. | —0 |
Collect data through surveys or experimentation. | —0 |
Analyze archival data such as birth, death, and disease records. | —0 |
Provide biostatistical consultation to clients or colleagues. | —0 |
Apply research or simulation results to extend biological theory or recommend new research projects. | —0 |
Design surveys to assess health issues. | —0 |
Write work instruction manuals, data capture guidelines, or standard operating procedures. | —0 |
Track the flow of work forms including in-house data flow or electronic forms transfer. | —0 |
Train staff on technical procedures or software program usage. | —0 |
Supervise the work of data management project staff. | —0 |
Monitor work productivity or quality to ensure compliance with standard operating procedures. | —0 |
Generate data queries based on validation checks or errors and omissions identified during data entry to resolve identified problems. | —0 |
Develop project-specific data management plans that address areas such as data coding, reporting, or transfer, database locks, and work flow processes. | —0 |
Develop or select specific software programs for various research scenarios. | —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 |
|---|---|
Prepare appropriate formatting to data sets as requested.O*NET Task ID 16268 | 1.0 |
Develop technical specifications for data management programming and communicate needs to information technology staff.O*NET Task ID 16270 | 1.0 |
Develop or select specific software programs for various research scenarios.O*NET Task ID 16271 | 1.0 |
Write work instruction manuals, data capture guidelines, or standard operating procedures.O*NET Task ID 16273 | 1.0 |
Design and validate clinical databases, including designing or testing logic checks.O*NET Task ID 16281 | 1.0 |
Design forms for receiving, processing, or tracking data.O*NET Task ID 16286 | 1.0 |
Read technical literature and participate in continuing education or professional associations to maintain awareness of current database technology and best practices.O*NET Task ID 16266 | 0.5 |
Provide support and information to functional areas such as marketing, clinical monitoring, and medical affairs.O*NET Task ID 16267 | 0.5 |
Evaluate processes and technologies, and suggest revisions to increase productivity and efficiency.O*NET Task ID 16269 | 0.5 |
Contribute to the compilation, organization, and production of protocols, clinical study reports, regulatory submissions, or other controlled documentation.O*NET Task ID 16272 | 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