AI exposure by occupation, O*NET 13-1041.03

Will AI replace Equal Opportunity Representatives and Officers?

Equal Opportunity Representatives and Officers: AI can already handle 9 of 18 tasks; the work mostly needs a standard-tier model.

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Every task, scored

The 18 tasks O*NET 30.3 lists for Equal Opportunity Representatives and Officers, from most to least exposed. 9 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Interview persons involved in equal opportunity complaints to verify case information. 80 Estimated Efficient 4.7
Verify that all job descriptions are submitted for review and approval and that descriptions meet regulatory standards. 80 Estimated Standard 3.5
Prepare reports related to investigations of equal opportunity complaints. 75 Estimated Efficient 4.7
Prepare reports of selection, survey, or other statistics and recommendations for corrective action. 75 Estimated Efficient 4.2
Interpret civil rights laws and equal opportunity regulations for individuals or employers. 65 Estimated Standard 4.6
Coordinate, monitor, or revise complaint procedures to ensure timely processing and review of complaints. 65 Estimated Frontier 4.1
Conduct surveys and evaluate findings to determine if systematic discrimination exists. 65 Estimated Efficient 4.0
Review company contracts to determine actions required to meet governmental equal opportunity provisions. 65 Estimated Standard 3.6
Consult with community representatives to develop technical assistance agreements in accordance with governmental regulations. 60 Estimated Frontier 3.3
Develop guidelines for nondiscriminatory employment practices. 50 Estimated Frontier 4.2
Provide information, technical assistance, or training to supervisors, managers, or employees on topics such as employee supervision, hiring, grievance procedures, or staff development. 50 Estimated Standard 4.0
Participate in the recruitment of employees through job fairs, career days, or advertising plans. 50 Estimated Frontier 2.6
Investigate employment practices or alleged violations of laws to document and correct discriminatory factors. 30 Estimated Efficient 4.7
Study equal opportunity complaints to clarify issues. 30 Estimated Efficient 4.6
Meet with persons involved in equal opportunity complaints to arbitrate and settle disputes. 30 Estimated Efficient 4.5
Monitor the implementation and impact of guidelines for nondiscriminatory employment practices. 30 Estimated Efficient 4.1
Meet with job search committees or coordinators to explain the role of the equal opportunity coordinator, to provide resources for advertising, or to explain expectations for future contacts. 30 Estimated Efficient 4.0
Counsel newly hired members of minority or disadvantaged groups, informing them about details of civil rights laws. 30 Estimated Standard 3.6

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 18 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 18 of 18. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A standard-tier model or lower covers 81% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
417,070
Median annual wage
$80,730
Middle half of earners
$61,280 to $109,010
Projected change, 2024 to 2034
+3.0%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034. BLS publishes these figures by SOC code, so O*NET occupations that share a SOC code show the same figures.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Equal Opportunity Representatives and Officers and AI

Will AI replace Equal Opportunity Representatives and Officers?

AI already handles 9 of the 18 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 53 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +3.0% from 2024 to 2034.

What is the AI exposure of Equal Opportunity Representatives and Officers?

53 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 18 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 18 are estimated from each task's O*NET work activity.

Which Equal Opportunity Representatives and Officers tasks can AI already do?

The tasks with the highest exposure are: Interview persons involved in equal opportunity complaints to verify case information; Verify that all job descriptions are submitted for review and approval and that descriptions meet regulatory standards; Prepare reports related to investigations of equal opportunity complaints. They are three of the 9 tasks that reach 60 or more.

What AI model tier does this role need?

A standard-tier model or lower covers 81% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Equal Opportunity Representatives and Officers, and what do they earn?

417,070 people in the United States, with a median annual wage of $80,730 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +3.0% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Equal Opportunity Representatives and Officers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/equal-opportunity-representatives-and-officers

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