Where AI can help
AI can assist report extraction, period comparisons and initial explanations.
US labor-market data in USD. Changing language does not change the country.
✓ United StatesBrazil — data in preparationBrazil is not available yet. We will publish a local dataset after validating CBO mapping and remuneration coverage.
Analyze financial information to evaluate companies, investments and capital decisions. Conclusions depend on assumptions and data quality.
Advise clients on aspects of capitalization, such as amounts, sources, or timing.
Analyze financial or operational performance of companies facing financial difficulties to identify or recommend remedies.
Assess companies as investments for clients by examining company facilities.
Collaborate on projects with other professionals, such as lawyers, accountants, or public relations experts.
Collaborate with investment bankers to attract new corporate clients.
A model with documented assumptions, sensitivity analysis and a defensible conclusion.
Editorial example, not a reported worker interview. Tools vary by employer.Financial institutions, consultancies and company finance teams. Some functions have specific registration requirements.
O*NET® 31.0 ↗Mean is the arithmetic average; median is the midpoint of the wage distribution. National occupational figures are not starting-salary promises.
Percentiles describe the workforce distribution, not junior and senior salary bands. Excludes self-employed workers; see the source for coverage.
BLS · May 2025 · USD/year ↗Includes replacement needs over 2025–2035. These are projections, not open job advertisements.
BLS · 2025–2035 ↗AI can assist report extraction, period comparisons and initial explanations.
Incorrect data and weak assumptions can change the decision; checking sources is part of the work.
The task discussion is editorial interpretation. Only the exposure percentage is reproduced from the study; we do not assign percentages to individual tasks.
Anthropic · March 2026 study ↗Use the exercise below to practice a real task, check AI outputs and identify where you need more depth. A career change is one option, not a requirement.
Analyze a company using public reports and show how changing one assumption affects the result.
Typical requirements in BLS data, not universal hiring rules. Verify the employer’s requirements and any applicable credential or license.
BLS · 2025 ↗Spreadsheets · financial statements · databases · scenario models
Editorial example, not a reported worker interview. Tools vary by employer.
These are researched starting points, not personalized recommendations or promises of lower AI exposure. Check the destination’s requirements and your own circumstances.
Connects financial analysis with cost and process diagnosis.
Operational experience matters and may require a gradual transition.
Applies quantitative analysis to product and demand decisions.
The wage reference may be lower; compare the same market and do not equate starting pay with the mean.
Analyze a company using public reports and show how changing one assumption affects the result.
Use the official occupation title below to search current listings. Check duties, location, experience and compensation. External search results have not been verified as active by this directory.
Financial and Investment AnalystsSearch external job listings ↗Ask which tasks take the most time, how AI changed the routine and what evidence of skill helped them enter. Compare their experience with the published data.
My Next Move ↗Occupational descriptions adapt the O*NET® 31.0 Database, U.S. Department of Labor, Employment and Training Administration, under CC BY 4.0. Is my job toast? translated, shortened and supplemented the material. USDOL/ETA has not approved or endorsed these changes. CC BY 4.0 ↗