Financial Analysts

Business & Financial Operations

AI exposure

  • Data source: BLSPublished: '26.08

    Very high· relative

    LowFour relative bandsVery high

    Group-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

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: '26.03

    0.572

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

  • Data source: ILOPublished: '25

    0.62

    0.09Range of values carried here0.70

    Group-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.

    Source dataset

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

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.

TaskβE1 + 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®, 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)]