Analyze financial information.

Analyze financial information. is a detailed work activity in O*NET — a concrete unit of work shared across 7 occupations and seen in 8 occupation-specific tasks. It rolls up into the broader work activity Analyze business or financial data. in Analyzing Data or Information .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 8 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 8 (100%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

The Anthropic Economic Index observes real AI use on 2 of these tasks, with a mean mapped-usage share of 0.012% per task.

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Evaluate customers' computerized credit records and payment histories to decide whether to approve new credit, based on predetermined standards. · Credit Authorizers, Checkers, and Clerks · importance 4.6 · exposure with tools
• Compile and analyze credit information gathered by investigation. · Credit Authorizers, Checkers, and Clerks · importance 4.4 · exposure with tools
• Perform budgeting duties, such as assisting in budget preparation, expenditure review, or budget administration. · Court, Municipal, and License Clerks · importance 4.4 · exposure with tools
• Compare prices, specifications, and delivery dates to determine the best bid among potential suppliers. · Procurement Clerks · importance 4.3 · exposure with tools
• Prepare adjusting journal entries. · Accountants and Auditors · importance 4.2 · direct LLM exposure
• Analyze financial activities of establishments or departments and provide input into budget planning and preparation processes. · First-Line Supervisors of Office and Administrative Support Workers · importance 3.9 · exposure with tools
• Analyze patients' abilities to pay to determine charges on a sliding scale. · Patient Representatives · importance 3.8 · exposure with tools
• Review compiled data on operating costs and revenues to set rates. · Billing and Posting Clerks · importance 3.6 · exposure with tools

Occupations that perform this

• Credit Authorizers, Checkers, and Clerks
• Court, Municipal, and License Clerks
• Procurement Clerks
• Accountants and Auditors
• First-Line Supervisors of Office and Administrative Support Workers
• Patient Representatives
• Billing and Posting Clerks

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-analyze-financial-information,
  title  = {Analyze financial information.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/detailed-activities/analyze-financial-information}
}