AI career impact
AI-augmented roles
How AI is used on the tasks of 79 occupations — augmenting people or automating work — from the Anthropic Economic Index (May 2026), with O*NET tasks and skills.
Data compiled 2026-10-09 · BLS 2025–35 · O*NET 31.0 · AEI May 2026
Global Claude.ai conversations with a classified collaboration pattern (excluding unclassified conversations), May 2026
51.4%
augmented the person rather than automating the task.
Anthropic Economic Index (May 2026)
At a glance
Occupations on this page, Anthropic Economic Index (May 2026)
- 43 of 79
Occupations where augmentation leads
Conversations on their tasks augment the person at least as often as they automate the work.
Anthropic Economic Index (May 2026)
All occupations
Sorted by augmentation share
| Occupation | Augmentation | Automation | Work use |
|---|---|---|---|
| Medical Assistants | 72.5% | 27.5% | 8.6% |
| MachinistsLow volume — treat estimates with caution | 71.8% | 28.2% | 48.2% |
| Writers and Authors | 71.5% | 28.5% | 54.5% |
| News Analysts, Reporters, and Journalists | 71.2% | 28.8% | 49.3% |
| Graphic Designers | 70.4% | 29.6% | 75.0% |
| Lawyers | 68.5% | 31.5% | 52.2% |
| Dental HygienistsLow volume — treat estimates with caution | 67.6% | 32.4% | 3.9% |
| Elementary School TeachersLow volume — treat estimates with caution | 67.5% | 32.5% | 22.2% |
| Civil EngineersLow volume — treat estimates with caution | 66.9% | 33.1% | 73.1% |
| Cashiers | 66.6% | 33.4% | 20.7% |
| Customer Service Representatives | 65.7% | 34.3% | 11.1% |
| Pharmacists | 63.1% | 37.0% | 10.2% |
| Physical TherapistsLow volume — treat estimates with caution | 62.6% | 37.4% | 22.6% |
| Paralegals and Legal Assistants | 62.5% | 37.5% | 75.4% |
| Nurse Practitioners | 62.1% | 37.9% | 5.6% |
| Nursing Assistants | 62.0% | 38.0% | 7.4% |
| Marketing Managers | 61.6% | 38.4% | 74.5% |
| Public Relations Specialists | 61.2% | 38.9% | 77.6% |
| Technical Writers | 61.1% | 38.9% | 55.5% |
| Child, Family, and School Social WorkersLow volume — treat estimates with caution | 60.0% | 40.1% | 7.9% |
| Compliance Officers | 59.8% | 40.2% | 34.6% |
| Human Resources ManagersLow volume — treat estimates with caution | 59.5% | 40.5% | 78.1% |
| Industrial EngineersLow volume — treat estimates with caution | 59.0% | 41.0% | 61.4% |
| Retail Salespersons | 58.7% | 41.3% | 8.3% |
| Personal Financial Advisors | 58.4% | 41.6% | 25.1% |
| Pharmacy Technicians | 58.4% | 41.6% | 5.8% |
| Registered NursesLow volume — treat estimates with caution | 58.2% | 41.8% | 8.5% |
| Secondary School TeachersLow volume — treat estimates with caution | 58.1% | 41.9% | 37.9% |
| Human Resources SpecialistsLow volume — treat estimates with caution | 58.0% | 42.1% | 78.6% |
| Tax Preparers | 56.2% | 43.8% | 36.6% |
| Financial and Investment Analysts | 55.8% | 44.2% | 47.3% |
| General and Operations Managers | 55.6% | 44.4% | 80.9% |
| Accountants and Auditors | 55.0% | 45.0% | 67.6% |
| Management Analysts | 54.5% | 45.5% | 78.5% |
| Market Research Analysts and Marketing Specialists | 54.4% | 45.6% | 62.7% |
| Sales Representatives of Services | 54.3% | 45.7% | 47.1% |
| Loan Interviewers and ClerksLow volume — treat estimates with caution | 53.7% | 46.3% | 42.3% |
| Sales Representatives, Wholesale and Manufacturing | 53.1% | 46.9% | 11.8% |
| Real Estate Sales AgentsLow volume — treat estimates with caution | 52.9% | 47.1% | 26.3% |
| Data Scientists | 52.6% | 47.4% | 56.0% |
| Sales Managers | 52.2% | 47.8% | 54.6% |
| Training and Development Specialists | 52.1% | 47.9% | 76.0% |
| Financial Managers | 50.3% | 49.7% | 58.0% |
| TellersLow volume — treat estimates with caution | 49.2% | 50.8% | 46.9% |
| Physician AssistantsLow volume — treat estimates with caution | 49.0% | 51.0% | 16.6% |
| Web and Digital Interface Designers | 48.7% | 51.3% | 67.2% |
| Project Management Specialists | 48.5% | 51.5% | 61.1% |
| Bookkeeping, Accounting, and Auditing Clerks | 48.1% | 51.9% | 34.8% |
| Operations Research Analysts | 46.9% | 53.1% | 58.1% |
| Logisticians | 45.5% | 54.6% | 67.6% |
| Web Developers | 44.7% | 55.3% | 71.1% |
| Mechanical Engineers | 44.5% | 55.5% | 34.6% |
| Executive Secretaries and Executive Administrative Assistants | 43.0% | 57.0% | 61.5% |
| Receptionists and Information Clerks | 41.4% | 58.6% | 43.2% |
| Electrical EngineersLow volume — treat estimates with caution | 41.0% | 59.0% | 46.5% |
| Waiters and Waitresses | 40.1% | 59.9% | 2.8% |
| Software Developers | 39.2% | 60.8% | 77.2% |
| Loan Officers | 39.2% | 60.8% | 36.8% |
| ElectriciansLow volume — treat estimates with caution | 39.2% | 60.8% | 70.9% |
| Database Administrators | 37.2% | 62.8% | 54.6% |
| Interpreters and Translators | 36.9% | 63.1% | 38.5% |
| Medical and Health Services Managers | 36.9% | 63.1% | 90.4% |
| Computer and Information Systems Managers | 34.9% | 65.1% | 52.5% |
| Heavy and Tractor-Trailer Truck DriversLow volume — treat estimates with caution | 34.9% | 65.2% | 55.9% |
| Computer User Support Specialists | 34.4% | 65.6% | 45.7% |
| Network and Computer Systems Administrators | 31.9% | 68.1% | 59.5% |
| General Office Clerks | 30.7% | 69.3% | 60.3% |
| Plumbers, Pipefitters, and SteamfittersLow volume — treat estimates with caution | 29.8% | 70.2% | 34.0% |
| Secretaries and Administrative Assistants | 29.4% | 70.6% | 70.4% |
| Restaurant CooksLow volume — treat estimates with caution | 28.5% | 71.5% | 14.1% |
| HVAC Mechanics and InstallersLow volume — treat estimates with caution | 27.4% | 72.6% | 42.2% |
| Automotive Service Technicians and MechanicsLow volume — treat estimates with caution | 26.4% | 73.6% | 41.3% |
| Medical Records SpecialistsLow volume — treat estimates with caution | 25.1% | 74.9% | 59.8% |
| General Maintenance and Repair WorkersLow volume — treat estimates with caution | 24.3% | 75.7% | 9.9% |
| Software Quality Assurance Analysts and Testers | 24.2% | 75.8% | 72.8% |
| Information Security AnalystsLow volume — treat estimates with caution | 23.9% | 76.1% | 80.0% |
| CarpentersLow volume — treat estimates with caution | 22.2% | 77.8% | 83.8% |
| Computer Systems Analysts | 15.8% | 84.2% | 56.7% |
| Security GuardsLow volume — treat estimates with caution | 13.3% | 86.7% | 27.0% |
Sources & methodology
Every figure on this page comes from the public datasets below. We do not edit the source values; derived figures are explained here.
- Collaboration shares come from Anthropic Economic Index data for Claude.ai conversations in May 2026, classified to the O*NET tasks they match. "Automation" groups directive and feedback-loop conversations; "augmentation" groups task iteration, learning, and validation. Both buckets are shares of conversations with a classified collaboration pattern, excluding the unclassified "none" pattern; the six individual pattern shares include unclassified conversations. They describe how people use Claude on this occupation's tasks — not what share of workers in the occupation use AI.
- Conversation share is this occupation's percentage of all classified Claude.ai conversations. Rows under 0.05% are flagged as low-volume; read their percentages with caution.
- Core tasks are the O*NET 31.0 core task statements ranked by O*NET importance; skills are the O*NET importance ratings (1–5).
- BLS occupations are matched to O*NET-SOC codes with the BLS O*NET-to-NEM crosswalk; where a BLS occupation spans several O*NET occupations, we average their values.
Anthropic Economic Index (May 2026)
Massenkoff, M., Lyubich, E., Sacher, S., Hitzig, Z., Zhang, S., Heller, R., & McCrory, P. (2026). "Anthropic Economic Index report: Cadences." Anthropic, June 26, 2026. Claude.ai usage metrics by occupation, global, May 2026.
Vintage: Release of June 26, 2026; Claude.ai conversations from May 2026. License: CC BY (data). Retrieved 2026-10-09.
This page includes information from the O*NET 31.0 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. Metaintro has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications.
Vintage: O*NET 31.0, August 2026 release. License: CC BY 4.0. Retrieved 2026-10-09.
Eloundou, T., Manning, S., Mishkin, P., & Rock, D. (2024). "GPTs are GPTs: Labor market impact potential of LLMs." Science, 384(6702), 1306–1308. doi:10.1126/science.adj0998. Occupation- and task-level exposure data from the authors' public repository (openai/GPTs-are-GPTs).
Vintage: Published June 21, 2024; human annotations of O*NET tasks collected 2023. License: Data repository: MIT License. Retrieved 2026-10-09.
BLS Employment Projections 2025–35
U.S. Bureau of Labor Statistics, Employment Projections program. Occupational projections, 2025–35, and worker characteristics, 2025 (Table 1.2); fastest growing occupations (Table 1.3); factors affecting occupational utilization (Table 1.12).
Vintage: 2025–35 projections, released August 27, 2026. License: Public domain (U.S. federal government work). Retrieved 2026-10-09.
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