Financial Examiners
Business & Financial OperationsAI exposure
- Data source: BLSPublished: '26.08
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: '26.03
0.043
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: '25
0.62
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, 3% 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 15 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Recommend actions to ensure compliance with laws and regulations, or to protect solvency of institutions.13-2061 | 0.060075.0 | 0.020018.2 |
Review and analyze new, proposed, or revised laws, regulations, policies, and procedures to interpret their meaning and determine their impact.13-2061 | 0.020025.0 | 0.090081.8 |
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 |
|---|---|
Train other examiners in the financial examination process.O*NET Task ID 7322 | 1.0 |
Investigate activities of institutions to enforce laws and regulations and to ensure legality of transactions and operations or financial solvency.O*NET Task ID 7314 | 0.5 |
Review and analyze new, proposed, or revised laws, regulations, policies, and procedures to interpret their meaning and determine their impact.O*NET Task ID 7315 | 0.5 |
Plan, supervise, and review work of assigned subordinates.O*NET Task ID 7316 | 0.5 |
Recommend actions to ensure compliance with laws and regulations, or to protect solvency of institutions.O*NET Task ID 7317 | 0.5 |
Examine the minutes of meetings of directors, stockholders, and committees to investigate the specific authority extended at various levels of management.O*NET Task ID 7318 | 0.5 |
Prepare reports, exhibits, and other supporting schedules that detail an institution's safety and soundness, compliance with laws and regulations, and recommended solutions to questionable financial conditions.O*NET Task ID 7319 | 0.5 |
Review balance sheets, operating income and expense accounts, and loan documentation to confirm institution assets and liabilities.O*NET Task ID 7320 | 0.5 |
Review audit reports of internal and external auditors to monitor adequacy of scope of reports or to discover specific weaknesses in internal routines.O*NET Task ID 7321 | 0.5 |
Establish guidelines for procedures and policies that comply with new and revised regulations and direct their implementation.O*NET Task ID 7323 | 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
Occupation information
Recent Changes Affecting This Occupation
Apr 2026: ATE 0.42 by 2027 in SF Bay Tier 1. Part of the 91.7% of financial occupations crossing moderate-risk threshold in Tier 1 by 2027.
[Source: arXiv 2604.00186 (Gupta & Kumar, 2026)]Mar 2026: Published evergreen blog analysis: AI exposure 63%, automation risk 46/100 in 2025.
[Source: AI Changing Work Blog]