Will AI replace Financial Examiners?
In theory, AI could do about 50% of the work in Financial Examiners. In practice, as of late 2025, almost no one is actually using it that way — yet.
O*NET-SOC 13-2061
How your 16 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~50%). By late 2025, real-world AI use had reached about 4% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
Don't trust a single AI-risk score here
For this job, the signals disagree sharply. AI's theoretical reach looks moderate (~50%), but real-world use is only ~4%, and how much AI "can" do shifts wildly by model — one 2026 study found the share of "high-risk" jobs swung 2.7% to 51.5% just by changing which AI did the rating. This page shows the spread instead of pretending there's one number.
See all 16 tasks, ratedBased on real task-level AI scores — click to collapse
- Train other examiners in the financial examination process.
- Recommend actions to ensure compliance with laws and regulations, or to protect solvency of institutions.
- 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.
- Resolve problems concerning the overall financial integrity of banking institutions including loan investment portfolios, capital, earnings, and specific or large troubled accounts.
- Investigate activities of institutions to enforce laws and regulations and to ensure legality of transactions and operations or financial solvency.
- Review balance sheets, operating income and expense accounts, and loan documentation to confirm institution assets and liabilities.
- Plan, supervise, and review work of assigned subordinates.
- Review audit reports of internal and external auditors to monitor adequacy of scope of reports or to discover specific weaknesses in internal routines.
- Examine the minutes of meetings of directors, stockholders, and committees to investigate the specific authority extended at various levels of management.
- Establish guidelines for procedures and policies that comply with new and revised regulations and direct their implementation.
- Review and analyze new, proposed, or revised laws, regulations, policies, and procedures to interpret their meaning and determine their impact.
- Provide regulatory compliance training to employees.
- Evaluate data processing applications for institutions under examination to develop recommendations for coordinating existing systems with examination procedures.
- Review applications for mergers, acquisitions, establishment of new institutions, acceptance in Federal Reserve System, or registration of securities sales to determine their public interest value and conformance to regulations, and recommend acceptance or rejection.
- Verify and inspect cash reserves, assigned collateral, and bank-owned securities to check internal control procedures.
- Direct and participate in formal and informal meetings with bank directors, trustees, senior management, counsels, outside accountants, and consultants to gather information and discuss findings.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.