SOC 13-1011

Agents and Business Managers of Artists, Performers, and Athletes AI displacement risk

AI-generated performers and synthetic influencers now compete for the same brand dollars agents sell against. Contract negotiation, career strategy, industry relationships, and protecting clients' likeness rights keep human representation valuable.

Exposure54

Share and intensity of work current AI systems can materially affect.

Automation28%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandModerate

The synthetic-talent trend cuts both ways: virtual artists need deals too, and likeness protection has become a core agent function. Agents who manage rights, negotiation, and long-term positioning matter more as content supply explodes.

Distribution

Where Agents and Business Managers of Artists, Performers, and Athletes sits across 620 tracked roles

Agents and Business Managers of Artists, Performers, and Athletes · 36050100

Displacement pressure 36 — higher than 61% 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.

14 O*NET task statements matched to SOC 13-1011. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $82,890 (May 2025, US national). The latest BLS row matched SOC 13-1011.

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 Agents and Business Managers of Artists, Performers, and Athletes

SOC 13-1011 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 36/100 role score and are not an occupation forecast.

Modest change

+0.4% group wage

-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.

Economy-wide: +1.6% GDP and 3.9% unemployment.

Substantial change

-0.3% group wage

-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.

Economy-wide: +8.3% GDP and 4.6% unemployment.

Extreme change

-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 Agents and Business Managers of Artists, Performers, and Athletes

The current evidence import matched 14 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 tasks14
SOC13-1011
  • Core task / ID 12865

    Collect fees, commissions, or other payments, according to contract terms.

  • Core task / ID 21163

    Send samples of clients' work and other promotional material to potential employers to obtain auditions, sponsorships, or endorsement deals.

  • Core task / ID 12870

    Keep informed of industry trends and deals.

  • Core task / ID 12872

    Conduct auditions or interviews to evaluate potential clients.

  • Core task / ID 12869

    Negotiate with managers, promoters, union officials, and other persons regarding clients' contractual rights and obligations.

  • Core task / ID 12866

    Confer with clients to develop strategies for their careers, and to explain actions taken on their behalf.

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

social

Negotiate contracts for clients

Exposure 30, automation 9%, augmentation 54%.

O*NET evidence: Negotiate with managers, promoters, union officials, and other persons regarding client... (ID 12869)

analytical

Develop career strategies with clients

Exposure 34, automation 12%, augmentation 60%.

O*NET evidence: Confer with clients to develop strategies for their careers, and to explain actions tak... (ID 12866)

information

Book engagements and arrange logistics

Exposure 52, automation 28%, augmentation 62%.

social

Promote clients to employers and sponsors

Exposure 42, automation 19%, augmentation 64%.

O*NET evidence: Send samples of clients' work and other promotional material to potential employers to ... (ID 21163)

TaskExposureAutomationAugmentation
Negotiate contracts for clients309%54%
Develop career strategies with clients3412%60%
Book engagements and arrange logistics5228%62%
Promote clients to employers and sponsors4219%64%

Transition pathways

Adjacent moves that preserve existing skills

role redesign

Talent Agency Partner Track

Training horizon: 12-24 months. Skill overlap 74. Wage preservation signal 128.

  • Build a client roster
  • Own department revenue
  • Develop packaging deals
Moderate
adjacent role

Licensing and Rights Manager

Training horizon: 3-6 months. Skill overlap 60. Wage preservation signal 110.

  • Specialize in likeness rights
  • Manage IP portfolios
  • Negotiate synthetic-media terms
Moderate

Comparison guides

Compare the next move before you commit

What the AI risk score means for Agents and Business Managers of Artists, Performers, and Athletes

The displacement pressure score for Agents and Business Managers of Artists, Performers, and Athletes is 36. 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. Book engagements and arrange logistics carries 28% automation pressure, while Promote clients to employers and sponsors carries 64% 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: $82,890 (May 2025, US national). Employment context: Representation role confronting synthetic performers. Typical education: Bachelor's degree common.

Wage vulnerability is 56, while transition feasibility is 66. 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
  • Synthetic talent competes for bookings
  • Negotiation and rights protection persist

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Agents and Business Managers of Artists, Performers, and Athletes, 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.

Priority 1

Contract negotiation

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.

Priority 2

Career strategy

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.

Priority 3

Industry relationships

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.

Priority 4

Likeness rights management

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.

  1. 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.
  2. By 60 days, complete one small project connected to Talent Agency Partner Track, such as build a client roster.
  3. By 90 days, compare internal openings and external postings for Talent Agency Partner Track or Licensing and Rights Manager and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Agents and Business Managers of Artists, Performers, and Athletes

Will AI replace Agents and Business Managers of Artists, Performers, and Athletes?

AI-generated performers and synthetic influencers now compete for the same brand dollars agents sell against. Contract negotiation, career strategy, industry relationships, and protecting clients' likeness rights keep human representation valuable. 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 Agents and Business Managers of Artists, Performers, and Athletes work are most exposed to AI?

Book engagements and arrange logistics and Promote clients to employers and sponsors show the strongest automation pressure in this model. Promote clients to employers and sponsors and Book engagements and arrange logistics are better treated as AI-augmented work.

What should Agents and Business Managers of Artists, Performers, and Athletes learn next?

Start with Contract negotiation, Career strategy, Industry relationships. The most practical adjacent paths in this model are Talent Agency Partner Track and Licensing and Rights 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