Often handed to AI
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
- Keep informed of industry trends and deals. · 2.1%
Agents and Business Managers of Artists, Performers, and Athletes
Occupation · SOC 13-1011.00
Represent and promote artists, performers, and athletes in dealings with current or prospective employers. May handle contract negotiation and other business matters for clients.
Also called: Agent · Booking Agent · Talent Agent · Theatrical Agent · Athlete Marketing Agent · Booker · Entertainment Specialist · Literary Agent · Print Agent · Talent Representative · Acquisition Agent · Advance Agent
Job family: Business and Financial Operations Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-13-1011-00/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Use as a copilot
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
- Advise clients on financial and legal matters such as investments and taxes. · 9.2%
- Confer with clients to develop strategies for their careers, and to explain actions taken on their behalf. · 8.5%
Keep a human in the loop
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
- Keep informed of industry trends and deals. · 98.6% need a human
- Confer with clients to develop strategies for their careers, and to explain actions taken on their behalf. · 98.1% need a human
- Advise clients on financial and legal matters such as investments and taxes. · 93.3% need a human
Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Market signal
Independent published positions, read together — not a forecast.
- Growing fast employment outlook (+8.7% by 2034)
- 2,200 openings/yr
- High AI exposure
- Observed AI use leans augmentation
- Median pay $96,310/yr
- Can largely be done remotely (teleworkable)
- A reversal from 2013 — rated low automation risk then (36th), high AI task-overlap now (85th)
85th-percentile task overlap — yet about 2,200 openings a year (+8.7% projected, BLS), and observed AI use leans 7411% copilot, not hand-off (AEI) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) High | 78th | 1.1 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 80th | 0.9 | |
| AI assistant applicability (Microsoft) High | 84th | 0.3 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.5), and including AI-powered software (γ 0.9). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.2 · 36th percentile among occupations · Moderate
How AI is actually used in this job
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Keep informed of industry trends and deals. | 2.7% | |
| Confer with clients to develop strategies for their careers, and to explain actions taken on their behalf. | 2.1% | |
| Collect fees, commissions, or other payments, according to contract terms. | 0.4% | |
| Prepare periodic accounting statements for clients. | 0.3% | |
| Develop contacts with individuals and organizations, and apply effective strategies and techniques to ensure their clients' success. | 0.2% | |
| Manage business and financial affairs for clients, such as arranging travel and lodging, selling tickets, and directing marketing and advertising activities. | 0.2% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Growing fast · +8.7% by 2034 |
| Projected annual openings | 2,200 |
| Employment 2024 → 2034 | 21,400 → 23,200 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Agents and Business Managers of Artists, Performers, and Athletes sits at the 82nd percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure eased from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
45% mean task exposure (2025)
82nd percentile of 427 placed occupations
−8 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Business Services Agents Not Elsewhere Classified · 3339 | 45% | Gradient 2 |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Working with AI in this job
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Augmentation vs. automation | 74.1% working with AI · 23.3% handed to AI |
| Most common way people use AI here | Learning · you ask AI to explain or teach |
| Typical AI autonomy | 4.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 35.2% |
What people delegate to AI
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Advise clients on financial and legal matters such as investments and taxes. | Learning | 9.2% |
| Confer with clients to develop strategies for their careers, and to explain actions taken on their behalf. | Iteration | 8.5% |
| Keep informed of industry trends and deals. | Directive | 2.1% |
Where a human is still needed
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Keep informed of industry trends and deals. | 98.6% | |
| Confer with clients to develop strategies for their careers, and to explain actions taken on their behalf. | 98.1% | |
| Advise clients on financial and legal matters such as investments and taxes. | 93.3% |
What people most often hand AI here
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
-
Help me advise clients on financial and legal matters such as investments and taxes.From: Advise clients on financial and legal matters such as investments and taxes. · 9.2% of measured AI use · learning
-
Help me confer with clients to develop strategies for their careers, and to explain actions taken on their behalf.From: Confer with clients to develop strategies for their careers, and to explain actions taken on their behalf. · 8.5% of measured AI use · task iteration
-
Help me keep informed of industry trends and deals.From: Keep informed of industry trends and deals. · 2.1% of measured AI use · directive
Tasks
All 14 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Collect fees, commissions, or other payments, according to contract terms. Core · importance 4.6
- Send samples of clients' work and other promotional material to potential employers to obtain auditions, sponsorships, or endorsement deals. Core · importance 4.5
- Keep informed of industry trends and deals. Core · importance 4.3
- Conduct auditions or interviews to evaluate potential clients. Core · importance 4.0
- Negotiate with managers, promoters, union officials, and other persons regarding clients' contractual rights and obligations. Core · importance 4.0
- Confer with clients to develop strategies for their careers, and to explain actions taken on their behalf. Core · importance 4.0
- Develop contacts with individuals and organizations, and apply effective strategies and techniques to ensure their clients' success. Core · importance 3.9
- Schedule promotional or performance engagements for clients. Core · importance 3.6
- Arrange meetings concerning issues involving their clients. Core · importance 3.5
- Manage business and financial affairs for clients, such as arranging travel and lodging, selling tickets, and directing marketing and advertising activities. Supplemental · importance 3.5
- Hire trainers or coaches to advise clients on performance matters, such as training techniques or performance presentations. Supplemental · importance 3.4
- Prepare periodic accounting statements for clients. Supplemental · importance 3.4
- Obtain information about or inspect performance facilities, equipment, and accommodations to ensure that they meet specifications. Supplemental · importance 3.0
- Advise clients on financial and legal matters, such as investments and taxes. Supplemental · importance 2.5
Work activities
- Collect payments for goods or services.
- Correspond with customers to answer questions or resolve complaints.
- Develop business relationships.
- Organize special events.
- Arrange collective bargaining agreements.
- Update professional knowledge.
- Implement financial decisions.
- Market products, services, or events.
- Conduct eligibility or selection interviews.
- Prepare financial documents.
- Advise others on legal or regulatory compliance matters.
- Recommend investments to clients.
- Inspect facilities or equipment to ensure specifications are met.
- Administer personnel recruitment or hiring activities.
- Perform marketing activities.
- Distribute promotional literature or samples to customers.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
Abilities
| Oral Expression | 4.1 | |
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Problem Sensitivity | 3.9 | |
| Speech Recognition | 3.9 | |
| Speech Clarity | 3.9 | |
| Deductive Reasoning | 3.8 | |
| Written Expression | 3.6 | |
| Inductive Reasoning | 3.6 | |
| Near Vision | 3.5 | |
| Fluency of Ideas | 3.3 | |
| Information Ordering | 3.3 | |
| Originality | 3.1 | |
| Category Flexibility | 3.0 |
Essential skills
| Reading Comprehension | 4.0 | |
| Active Listening | 4.0 | |
| Speaking | 4.0 | |
| Critical Thinking | 3.8 | |
| Writing | 3.6 | |
| Active Learning | 3.5 | |
| Monitoring | 2.9 |
Transferable skills
| Persuasion | 4.0 | |
| Negotiation | 4.0 | |
| Social Perceptiveness | 3.9 | |
| Coordination | 3.8 | |
| Time Management | 3.8 | |
| Complex Problem Solving | 3.4 | |
| Judgment and Decision Making | 3.1 | |
| Service Orientation | 3.0 | |
| Instructing | 2.9 | |
| Management of Personnel Resources | 2.9 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 44.
Tools & technology
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 4 — Job Zone Four: Considerable Preparation Needed
- Education
- Most of these occupations require a four-year bachelor's degree, but some do not.
- Typical entry-level education
- Bachelor's degree · BLS, the typical path — not a requirement
- Related experience
- A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
- Preparation level
- SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.
What to study: Business, Management, Marketing, and Related Support Services , Communication, Journalism, and Related Programs , Visual and Performing Arts . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| Bachelor's Degree | 41.3% | |
| High School Diploma | 38.0% | |
| Master's Degree | 16.8% | |
| Some College Courses | 2.6% | |
| Less than a High School Diploma | 1.3% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Work styles
| Dependability | 10.0 | |
| Attention to Detail | 9.0 | |
| Integrity | 8.0 | |
| Achievement Orientation | 7.0 | |
| Social Orientation | 6.0 | |
| Adaptability | 5.0 | |
| Perseverance | 4.0 |
Career interests (Holland / RIASEC)
| Enterprising | 6.5 | |
| Social | 4.1 | |
| Conventional | 3.7 | |
| Artistic | 3.5 |
Interest areas
| Professional Advising | 5.7 | |
| Business Initiatives | 5.5 | |
| Sales | 5.4 | |
| Management/Administration | 5.3 | |
| Marketing/Advertising | 5.2 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $48,530 |
| 25th percentile | $63,100 |
| Median (50th) | $96,310 |
| 75th percentile | $168,850 |
| 90th percentile | — |
| People employed | 14,220 |
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Arts, Entertainment, and Recreation · Sector | 12,790 | $99,140 |
| Professional, Scientific, and Technical Services · Sector | 800 | $65,000 |
| Information · Sector | 470 | — |
| Administrative and Support and Waste Management and Remediation Services · Sector | 90 | $63,410 |
| Accommodation and Food Services · Sector | 40 | $45,600 |
| Theater Companies and Dinner Theaters · National industry | 30 | $78,780 |
| Temporary Help Services · National industry | — | $70,650 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Arts, Entertainment, and Recreation · Sector | 52.49× | 12,790 |
| Information · Sector | 1.75× | 470 |
| Professional, Scientific, and Technical Services · Sector | 0.81× | 800 |
Related occupations
Part of the Arts, Entertainment, & Design career cluster.
- Talent Directors · 27-2012.04 Compare →
- Advertising Sales Agents · 41-3011.00 Compare →
- Public Relations Specialists · 27-3031.00 Compare →
- Advertising and Promotions Managers · 11-2011.00 Compare →
- Writers and Authors · 27-3043.00 Compare →
- Marketing Managers · 11-2021.00 Compare →
- Meeting, Convention, and Event Planners · 13-1121.00 Compare →
- Market Research Analysts and Marketing Specialists · 13-1161.00 Compare →
- Sales Managers · 11-2022.00 Compare →
- Public Relations Managers · 11-2032.00 Compare →
- Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel · 41-3091.00 Compare →
- Telemarketers · 41-9041.00 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Agents and Business Managers of Artists, Performers, and Athletes — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- Bachelor's degree · typical entry level
- Job zone 4 — Job Zone Four: Considerable Preparation Needed · preparation tier
- Business, Management, Marketing, and Related Support Services · field of study
- Communication, Journalism, and Related Programs · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 82nd percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Agents and Business Managers of Artists, Performers, and Athletes show 85th-percentile AI task overlap — and about 2,200 annual U.S. openings
- Agents and Business Managers of Artists, Performers, and Athletes rank in the 85th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 2,200 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be growing fast (+8.7%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $96,310, across about 14,220 U.S. workers.BLS OEWS (May 2024)
- Of the AI use actually observed for this work, 74% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Agents and Business Managers of Artists, Performers, and Athletes show 85th-percentile AI task overlap — and about 2,200 annual U.S. openings • Agents and Business Managers of Artists, Performers, and Athletes rank in the 85th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 2,200 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be growing fast (+8.7%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $96,310, across about 14,220 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 74% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2) Source: Singulariki — "Agents and Business Managers of Artists, Performers, and Athletes". https://singulariki.com/roles/role-13-1011-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Agents and Business Managers of Artists, Performers, and Athletes." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-13-1011-00
APA
Singulariki. (2026). Agents and Business Managers of Artists, Performers, and Athletes. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-13-1011-00
BibTeX
@misc{singulariki-role-13-1011-00,
title = {Agents and Business Managers of Artists, Performers, and Athletes},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-13-1011-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.