Share and intensity of work current AI systems can materially affect.
SOC 11-9199
Compliance Managers AI displacement risk
AI monitoring tools scan for violations and draft regulatory filings, changing how compliance teams work. The manager's value is judgment under ambiguity: interpreting new rules, designing controls, and answering to regulators — now including rules about AI itself.
Likely potential for exposed tasks to move to software after workflow integration.
This occupation maps to a residual management SOC with regulatory and compliance managers as its detailed variants. AI governance is expanding the compliance mandate, which makes this one of the few roles whose scope grows because of AI regulation.
Distribution
Where Compliance Managers sits across 620 tracked roles
Displacement pressure 34 — higher than 56% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
30 O*NET task statements matched to SOC 11-9199. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $141,900 (May 2025, US national). The latest BLS row matched SOC 11-9199.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Compliance Managers
SOC 11-9199 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 34/100 role score and are not an occupation forecast.
+0.4% group wage
-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.
Economy-wide: +1.6% GDP and 3.9% unemployment.
-0.3% group wage
-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.
Economy-wide: +8.3% GDP and 4.6% unemployment.
-11.5% group wage
-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Compliance Managers
The current evidence import matched 30 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks30
SOC11-9199
- Core task / ID 18026
Develop regulatory strategies and implementation plans for the preparation and submission of new products.
- Core task / ID 18037
Review all regulatory agency submission materials to ensure timeliness, accuracy, comprehensiveness, or compliance with regulatory standards.
- Core task / ID 18022
Direct the preparation and submission of regulatory agency applications, reports, or correspondence.
- Core task / ID 18029
Investigate product complaints and prepare documentation and submissions to appropriate regulatory agencies as necessary.
- Core task / ID 18035
Provide responses to regulatory agencies regarding product information or issues.
- Core task / ID 18036
Represent organizations before domestic or international regulatory agencies on major policy matters or decisions regarding company products.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Develop regulatory strategies and plans
Exposure 50, automation 23%, augmentation 70%.
O*NET evidence: Develop regulatory strategies and implementation plans for the preparation and submissi... (ID 18026)
Review submission materials for compliance
Exposure 66, automation 38%, augmentation 72%.
O*NET evidence: Review all regulatory agency submission materials to ensure timeliness, accuracy, compr... (ID 18037)
Direct regulatory filings and reports
Exposure 60, automation 33%, augmentation 70%.
O*NET evidence: Direct the preparation and submission of regulatory agency applications, reports, or co... (ID 18022)
Represent organizations before regulators
Exposure 26, automation 7%, augmentation 48%.
O*NET evidence: Represent organizations before domestic or international regulatory agencies on major p... (ID 18036)
TaskExposureAutomationAugmentation
Develop regulatory strategies and plans5023%70%
Review submission materials for compliance6638%72%
Direct regulatory filings and reports6033%70%
Represent organizations before regulators267%48%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
ModerateChief Compliance Officer
Training horizon: 3-8 months. Skill overlap 78. Wage preservation signal 118.
- Own enterprise compliance programs
- Lead regulatory examinations
- Set AI governance frameworks
adjacent role
ModerateAI Governance Manager
Training horizon: 3-6 months. Skill overlap 64. Wage preservation signal 112.
- Build model review processes
- Map AI regulatory requirements
- Document model risk evidence
Comparison guides
Compare the next move before you commit
3-8 months
Compliance Managers to Chief Compliance Officer
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Compliance Managers into Chief Compliance Officer.
3-6 months
Compliance Managers to AI Governance Manager
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Compliance Managers into AI Governance Manager.
What the AI risk score means for Compliance Managers
The displacement pressure score for Compliance Managers is 34. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Review submission materials for compliance carries 38% automation pressure, while Review submission materials for compliance carries 72% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $141,900 (May 2025, US national). Employment context: Regulatory leadership role with AI-governance demand growth. Typical education: Bachelor's degree plus compliance experience.
Wage vulnerability is 26, while transition feasibility is 74. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Moderate displacement pressure
- AI regulation expands the mandate
- Regulator accountability is durable
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Compliance Managers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Regulatory interpretation
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Control design
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Regulator relations
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
AI oversight review
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Chief Compliance Officer, such as own enterprise compliance programs.
- By 90 days, compare internal openings and external postings for Chief Compliance Officer or AI Governance Manager and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Compliance Managers
Will AI replace Compliance Managers?
AI monitoring tools scan for violations and draft regulatory filings, changing how compliance teams work. The manager's value is judgment under ambiguity: interpreting new rules, designing controls, and answering to regulators — now including rules about AI itself. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Compliance Managers work are most exposed to AI?
Review submission materials for compliance and Direct regulatory filings and reports show the strongest automation pressure in this model. Review submission materials for compliance and Develop regulatory strategies and plans are better treated as AI-augmented work.
What should Compliance Managers learn next?
Start with Regulatory interpretation, Control design, Regulator relations. The most practical adjacent paths in this model are Chief Compliance Officer and AI Governance Manager.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
International Labour Organization / 20 May 2025Generative AI and Jobs: A Refined Global Index of Occupational ExposureOECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics