Financial Analysts
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
0.572
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
Exposed tasks only| Task | Claude.aiRaw / share % |
|---|---|
Interpret data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs.13-2051 | 0.077333.3 |
Present oral or written reports on general economic trends, individual corporations, and entire industries.13-2051 | 0.041818.0 |
Draw charts and graphs, using computer spreadsheets, to illustrate technical reports.13-2051 | 0.024310.5 |
Monitor fundamental economic, industrial, and corporate developments by analyzing information from financial publications and services, investment banking firms, government agencies, trade publications, company sources, or personal interviews.13-2051 | 0.02239.6 |
Recommend investments and investment timing to companies, investment firm staff, or the public.13-2051 | 0.02159.2 |
Prepare plans of action for investment, using financial analyses.13-2051 | 0.01888.1 |
Inform investment decisions by analyzing financial information to forecast business, industry, or economic conditions.13-2051 | 0.01616.9 |
Evaluate and compare the relative quality of various securities in a given industry.13-2051 | 0.01004.3 |
| Not observed on any surface — 10 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. | |
Monitor developments in the fields of industrial technology, business, finance, and economic theory. | —0 |
Determine the prices at which securities should be syndicated and offered to the public. | —0 |
Contact brokers and purchase investments for companies, according to company policy. | —0 |
Collaborate with investment bankers to attract new corporate clients to securities firms. | —0 |
Conduct financial analyses related to investments in green construction or green retrofitting projects. | —0 |
Determine the financial viability of alternative energy generation or fuel production systems, based on power source or feedstock quality, financing costs, potential revenue, and total project costs. | —0 |
Evaluate financial viability and potential environmental benefits of cleantech innovations to secure capital investments from sources such as venture capital firms and government green fund grants. | —0 |
Forecast or analyze financial costs associated with climate change or other environmental factors, such as clean water supply and demand. | —0 |
Identify potential financial investments that are environmentally sound, considering issues such as carbon emissions and biodiversity. | —0 |
Research and recommend environmentally-related financial products, such as energy futures, water rights, carbon credits, government environmental funds, and cleantech industry funds and company stocks. | —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 |
|---|---|
Advise clients on aspects of capitalization, such as amounts, sources, or timing.O*NET Task ID 21579 | 0.5 |
Analyze financial or operational performance of companies facing financial difficulties to identify or recommend remedies.O*NET Task ID 21580 | 0.5 |
Assess companies as investments for clients by examining company facilities.O*NET Task ID 21581 | 0.5 |
Collaborate on projects with other professionals, such as lawyers, accountants, or public relations experts.O*NET Task ID 21582 | 0.5 |
Collaborate with investment bankers to attract new corporate clients.O*NET Task ID 21583 | 0.5 |
Conduct financial analyses related to investments in green construction or green retrofitting projects.O*NET Task ID 21584 | 0.5 |
Confer with clients to restructure debt, refinance debt, or raise new debt.O*NET Task ID 21585 | 0.5 |
Create client presentations of plan details.O*NET Task ID 21586 | 0.5 |
Determine the prices at which securities should be syndicated and offered to the public.O*NET Task ID 21587 | 0.5 |
Draw charts and graphs, using computer spreadsheets, to illustrate technical reports.O*NET Task ID 21589 | 0.5 |
Develop and maintain client relationships.O*NET Task ID 21588 | 0.0 |
Supervise, train, or mentor junior team members.O*NET Task ID 21604 | 0.0 |
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: NBER survey of 6,000 executives: 69% use AI but 90% report zero employment impact. Executives predict -0.7% employment decline over next 3 years.
[Source: NBER Working Paper 34836]Apr 2026: Brookings 2024 highlights finance as high-exposure AND low-bargaining-power: union representation in the finance sector is around 1%. Financial analysts face productivity tool-driven task change with minimal institutional counterweight.
[Source: Brookings 2024 — Generative AI, the American worker]Apr 2026: OpenAI workplace report (Apr 2026): Workplace ChatGPT use is concentrated in financial analyst roles more than almost any other occupation. Junior analysts produce in days what once took weeks; demand shifts toward analysts who validate model outputs.
[Source: OpenAI — ChatGPT Usage and Adoption Patterns at Work (April 2026)]