AI Automation Index

Will AI Replace Compliance Officers?

Task-level automation exposure for Compliance Officers: 16 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

16 of 16 tasks scored

Median Salary

$80,730 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Very High

417,070 people hold this job — size, not growth

Projected 2025–35

+3.8% employment change

32,700 openings a year · BLS line item

Pay by state

BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$48,950 – $111,030

Highest medians

District of Columbia $111,030

Massachusetts $102,060

New Jersey $100,000

California $96,980

Connecticut $91,810

Lowest medians

Puerto Rico $48,950

Oklahoma $63,000

Tennessee $63,960

West Virginia $64,270

Arkansas $64,680

State figures come from the 13-1041 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 42%

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

16 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) 47%

7 tasks

Medium exposure (≥ 35%) 49%

8 tasks

Low exposure (below 35%) 5%

1 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

#21446 · Core · 65% automatable

Warn violators of infractions or penalties.

text generation — Status notifications drafted and sent by AI

Inform individuals or organizations of status or findings.

#21447 · Core · 64% automatable

Evaluate applications, records, or documents to gather information about eligibility or liability issues.

data analysis — Examines records for anomalies; human validates findings

Review license or permit applications. Examine financial records.

#21448 · Core · 55% automatable

Advise licensees or other individuals or groups concerning licensing, permit, or passport regulations.

decision support — Compliance guidance drafted; human verifies and owns

Advise others on legal or regulatory compliance matters.

#21449 · Core · 75% automatable

Prepare reports of activities, evaluations, recommendations, or decisions.

text generation — Research reports drafted; human owns findings

Prepare research reports.

#21450 · Core · 55% automatable

Report law or regulation violations to appropriate boards or agencies.

text generation — Drafting agency communications aided; relationships human

Communicate with government agencies.

#21451 · Core · 42% automatable

Confer with or interview officials, technical or professional specialists, or applicants to obtain information or to clarify facts relevant to licensing decisions.

interpersonal — Live interview judgment and rapport; AI can only screen

Conduct eligibility or selection interviews.

#21452 · Supplemental · 62% automatable

Issue licenses to individuals meeting standards.

decision support — Screens applications against criteria; human owns approval

Review license or permit applications.

#21453 · Supplemental · 35% automatable

Collect fees for licenses.

physical manipulation — In-person payment handling; some digital automation

Collect payments for goods or services.

#21454 · Supplemental · 55% automatable

Administer oral, written, road, or flight tests to license applicants.

decision support — AI coordinates admin; human owns hiring decisions

Administer personnel recruitment or hiring activities.

#21455 · Supplemental · 22% automatable

Visit establishments to verify that valid licenses or permits are displayed and that licensing standards are being upheld.

visual inspection — Physical conformance inspection of facilities/equipment

Inspect facilities, equipment or supplies to ensure conformance to standards.

#21456 · Supplemental · 55% automatable

Score tests and observe equipment operation and control to rate ability of applicants.

decision support — AI coordinates admin; human owns hiring decisions

Administer personnel recruitment or hiring activities.

#21457 · Supplemental · 65% automatable

Prepare correspondence to inform concerned parties of licensing decisions or appeals processes.

text generation — Status notifications drafted and sent by AI

Inform individuals or organizations of status or findings.

#21458 · Core · 62% automatable

Identify compliance issues that require follow-up or investigation.

information retrieval — Legal record evaluation aided, human decides

Evaluate information related to legal matters in public or personal records.

#21459 · Core · 80% automatable

Keep informed regarding pending industry changes, trends, or best practices.

information retrieval — AI monitors developments; human judges significance

Stay informed about current developments in field of specialization. Update knowledge about emerging industry or technology trends. Maintain knowledge of current developments in area of expertise.

#21460 · Core · 55% automatable

Provide assistance to internal or external auditors in compliance reviews.

decision support — Compliance guidance drafted; human verifies and owns

Advise others on legal or regulatory compliance matters.

#21461 · Core · 59% automatable

Verify that all firm and regulatory policies and procedures have been documented, implemented, and communicated.

data analysis — Cross-checking records against criteria, human spot-checks

Verify accuracy of records. Implement organizational process or policy changes. Communicate organizational policies and procedures.

Embed this calculator on your site ↓

Bloggers & authors: Embed this interactive calculator directly in your articles or comparison guides. It loads dynamically via a responsive iframe (auto-resizing to prevent double scrollbars) and provides a direct, high-value tool for your audience.

<div class="giniloh-calculator-embed" data-calculator="compliance-officers"></div>
<script src="https://giniloh.com/embed.js" async></script>

Community Sentiment

Do you agree?

Do you agree with the AI automation risk score calculated for this occupation?

Method

How this was scored

1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
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. 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. 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 →

Best AI Proof Jobs in a Changing Market

Worried robots are coming for your paycheck? You’re not alone—but the real story is far more hopeful. This guide cuts through the scare headlines to reveal exactly where smart, sustainable career opportunities exist right now. We’ve curated a list of true ai proof jobs—roles in healthcare, skilled trades, and cybersecurity that not only survive automation but thrive because of human judgment and empathy. You’ll get specific, money-making data on projected growth (the BLS says wind turbine technicians, for instance, will grow 44% by 2032), real salary ranges from active job listings, and a simple self-assessment quiz to identify your own most resilient path. Plus, we name companies hiring today and the niche job boards they use. Stop worrying and start planning—your secure career is closer than you think.

Read Article ->