Gini Loh System Tools

AI Automation Index

Will AI Replace Financial Examiners?

Task-level automation exposure for Financial Examiners: 17 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified
Developed & audited by Gini Loh

Automation Exposure

58% weighted task index

17 of 17 tasks scored

Median Salary

$94,160 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Medium

67,830 people hold this job — size, not growth

Projected 2025–35

+9.3% employment change

4,500 openings a year · BLS line item

Pay by state

BLS OEWS publishes 50 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$37,470 – $198,720

Highest medians

District of Columbia $198,720
New York $128,920
Connecticut $120,530
Washington $113,700
Massachusetts $111,110

Lowest medians

Puerto Rico $37,470
Arkansas $57,590
West Virginia $60,590
Hawaii $62,720
New Mexico $67,950

State figures come from the 13-2061 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 58%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 0%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 64%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 7%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 4/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

17 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 53%

9 tasks

Medium exposure (≥ 35%) 34%

6 tasks

Low exposure (below 35%) 13%

2 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#7324 · Core · 57% automatable

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.

text generation — Information exchange coordination largely automatable

Coordinate with external parties to exchange information. Confer with others about financial matters.
#7317 · Core · 55% automatable

Recommend actions to ensure compliance with laws and regulations, or to protect solvency of institutions.

decision support — Compliance guidance drafted; human verifies and owns

Advise others on legal or regulatory compliance matters.
#7319 · Core · 80% automatable

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.

text generation — Generate operational reports from structured data

Prepare operational reports.
#7327 · Core · 30% automatable

Resolve problems concerning the overall financial integrity of banking institutions including loan investment portfolios, capital, earnings, and specific or large troubled accounts.

decision support — Financial decisions carry accountability and require authority

Implement financial decisions.
#7314 · Core · 60% automatable

Investigate activities of institutions to enforce laws and regulations and to ensure legality of transactions and operations or financial solvency.

data analysis — Analyzes records and processes; human confirms conclusions

Examine financial records or processes.
#7320 · Core · 78% automatable

Review balance sheets, operating income and expense accounts, and loan documentation to confirm institution assets and liabilities.

data analysis — Financial indicator monitoring is well-suited to AI analytics

Monitor financial indicators.
#7316 · Core · 30% automatable

Plan, supervise, and review work of assigned subordinates.

interpersonal — Employee supervision is accountability-bearing human work

Supervise employees.
#7321 · Core · 62% automatable

Review audit reports of internal and external auditors to monitor adequacy of scope of reports or to discover specific weaknesses in internal routines.

data analysis — Organizational process monitoring is largely digital and analyzable

Monitor organizational processes.
#7318 · Core · 62% automatable

Examine the minutes of meetings of directors, stockholders, and committees to investigate the specific authority extended at various levels of management.

data analysis — Organizational process monitoring is largely digital and analyzable

Monitor organizational processes.
#7322 · Core · 50% automatable

Train other examiners in the financial examination process.

interpersonal — Job-skill training content AI-assisted; coaching human

Train personnel to enhance job skills.
#7323 · Core · 55% automatable

Establish guidelines for procedures and policies that comply with new and revised regulations and direct their implementation.

decision support — AI drafts guidelines; authority and context are human

Establish organizational guidelines or policies.
#7315 · Core · 65% automatable

Review and analyze new, proposed, or revised laws, regulations, policies, and procedures to interpret their meaning and determine their impact.

information retrieval — Law-to-activity mapping; human owns compliance

Evaluate applicable laws and regulations to determine impact on organizational activities.
#20190 · Core · 55% automatable

Provide regulatory compliance training to employees.

text generation — Procedural training content AI-assisted; delivery human

Train personnel in organizational or compliance procedures.
#7328 · Core · 60% automatable

Evaluate data processing applications for institutions under examination to develop recommendations for coordinating existing systems with examination procedures.

data analysis — Analyzes records and processes; human confirms conclusions

Examine financial records or processes.
#7326 · Core · 62% automatable

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.

decision support — Screens applications against criteria; human owns approval

Review license or permit applications.
#7325 · Core · 74% automatable

Verify and inspect cash reserves, assigned collateral, and bank-owned securities to check internal control procedures.

data analysis — Financial accuracy checks, human reviews exceptions

Verify accuracy of financial information. Examine financial records.
#7329 · Supplemental · 55% automatable

Confer with officials of real estate, securities, or financial institution industries to exchange views and discuss issues or pending cases.

decision support — Financial conferral aided; judgment and trust human

Confer with others about financial matters.
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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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