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STRATUSWORKFORCE SCAN

Industry group, 7114

Agents and Managers for Artists, Athletes, Entertainers, and Other Public Figures

30,080 people work in this industry in the US, at mean pay of $115,080 a year (BLS, May 2025). What follows is how much of their working time the best AI models could finish, when, and in which jobs and tasks. Estimates.

now
59%

of the paid hours. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

$1.8B

a year: 28 million hours at what they cost. Not a forecast of savings.

Kinds of work
  • 68%
  • 27%
  • 5%
18%

of the paid hours are within reach now in tasks people already bring to Claude. Another 41% is within reach in tasks not yet seen there.

Across the US: 30% within reach now and 36% by the end of 2028, on the long-run pace at four in five. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

Share of the paid hours within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 68% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030
Change assumptionsLong-run pace, four in five

What each choice means: , , , , . Every pace starts from .

What handing the work over would take

For the 12,710 people in jobs so far, 42% of the industry's people; the others are in the totals above and join this split as the review reaches their jobs. Shares of their working time within reach now, at the pace and reliability chosen above. Estimates. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

35%

about 9.2 million hours a year. The material can be handed to a model and the result handed back.

17%

about 4.5 million hours a year. The model has to be connected to the system the work lives in.

, not counted
16%

about 4.3 million hours a year. Short enough by length. This site leaves conversation with people, so it is not in the totals.

What their work is made of

  • 47%
  • 19%
  • 20%
  • 6%
  • 8%

Each task's time split among five kinds of doing, judged one task at a time; only documents and systems can count as within reach.

What changes for the people

For the 12,710 people in jobs reviewed task by task so far, by the end of 2028 on the long-run pace at four in five: the shares of their working time, from each job page's own map, weighted by how many people here do that job. It says which parts of the work change, never whether anyone keeps a job. Estimates.

Stays with people
33%

Conversation, in-person and hands-on work.

Becomes checking
43%

Desk work within reach in tasks where a mistake costs something or a licensed person signs.

Handed over
22%

Desk work within reach that is small if wrong, with lighter checks.

What most people here would learn first

How many of them have each skill among the first two things to learn on their job's page. Every state, and the US

  • Briefing a model and checking its drafts10,175 (80%)
  • Reviewing work you did not do yourself7,680 (60%)
  • Running AI inside the business systems4,390 (35%)
  • The conversations1,430 (11%)
  • The hands-on craft1,040 (8%)
  • Judgment where errors are severe465 (4%)
  • Dealing with people outside the organization200 (2%)

How far this has come

With GPT-4, measured in March 2023, 0% of this industry's paid hours were within reach at . With Claude 3.7 Sonnet, measured in February 2025, 1%. With Claude Mythos Preview (early), measured in April 2026, 34%. Today's estimate: 59%.

0%25%50%2023202420252026GPT-4, March 2023: 0% within reachGPT-4 Turbo (Nov 2023), November 2023: 0% within reachGPT-4o, May 2024: 0% within reachClaude 3.5 Sonnet (June 2024), June 2024: 0% within reacho1-preview, September 2024: 0% within reachClaude 3.5 Sonnet (Oct 2024), October 2024: 0% within reacho1, December 2024: 0% within reachClaude 3.7 Sonnet, February 2025: 1% within reacho3, April 2025: 4% within reachGPT-5, August 2025: 5% within reachGemini 3 Pro, November 2025: 9% within reachClaude Opus 4.5, November 2025: 9% within reachGPT-5.2, December 2025: 12% within reachClaude Opus 4.6, February 2026: 13% within reachClaude Mythos Preview (early), April 2026: 34% within reachToday (estimate), November 2026: 59% within reach
Each step is a new best model measured by METR, four in five; the dashed end is today's estimate. Point at a dot for the model.

A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.

Robots and the physical work

Anthropic rates 7% of the working time of the people in this industry as physical work. For 6% of the working time, a robot has been shown doing most of the task somewhere: 5% in a purpose-built cell, 1% in a structured facility. 0.06 of 3.

  • Not physical 93%
  • No robot shown 1%
  • In a purpose-built cell 5%
  • In a structured facility 1%

Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. Weighted by the people in each occupation; each job's page names the robot behind each rated task.

Where the hours are

Jobs by hours within reach now. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index. The 20 largest jobs hold 95% of the people.

People: BLS counts for this industry, May 2025. Pay here: the median paid for the job in this industry, else its mean, else the national median. 14 smaller jobs (1,110 people) count in every total but are not listed. Task data covers 77% of the industry's people; the rest are in BLS "all other" groups with no task list, or in counts BLS does not publish.

The tasks with the most hours within reach by the end of 2028

Across the whole industry, on the chosen pace and reliability.

  1. 3.1 million hours100% of the task within reach
  2. Develop contacts with individuals and organizations, and apply effective strategies and techniques to ensure their clients' success.Agents and Business Managers of Artists, Performers, and Athletes
    2.7 million hours100% of the task within reach
  3. Send samples of clients' work and other promotional material to potential employers to obtain auditions, sponsorships, or endorsement deals.Agents and Business Managers of Artists, Performers, and Athletes
    2.1 million hours100% of the task within reach
  4. Conduct auditions or interviews to evaluate potential clients.Agents and Business Managers of Artists, Performers, and Athletes
    1.7 million hours100% of the task within reach
  5. Manage business and financial affairs for clients, such as arranging travel and lodging, selling tickets, and directing marketing and advertising activities.Agents and Business Managers of Artists, Performers, and Athletes
    1.5 million hours100% of the task within reach
  6. Schedule promotional or performance engagements for clients.Agents and Business Managers of Artists, Performers, and Athletes
    1.1 million hours100% of the task within reach
  7. Collect fees, commissions, or other payments, according to contract terms.Agents and Business Managers of Artists, Performers, and Athletes
    1 million hours100% of the task within reach
  8. Coordinate conferences, meetings, or special events, such as luncheons or graduation ceremonies.Secretaries and Administrative Assistants, Except Legal, Medical, and Executive
    743,710 hours60% of the task within reach
  9. Use computers for various applications, such as database management or word processing.Secretaries and Administrative Assistants, Except Legal, Medical, and Executive
    607,217 hours100% of the task within reach
  10. Collect and analyze data on customer demographics, preferences, needs, and buying habits to identify potential markets and factors affecting product demand.Market Research Analysts and Marketing Specialists
    595,558 hours100% of the task within reach

Scan a typical company in this industry

The industry's largest jobs, in the proportions BLS counts across the whole industry, at the pay it pays, run through the company scan. A starting point before you have a roster, or a benchmark for the one you have. Or choose the whole industry: every occupation BLS publishes for it with task data, at its nationwide headcount, the sector report ($249 for the full report, or included in Pro).

Scan a typical companyOr paste your own roles

Next to this industry

Within reach now and by the end of 2028, long-run pace, four in five. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.

How it is built: BLS counts the people in each job in this industry; each job's tasks and their lengths give its share within reach at a date; the industry's share is those shares weighted by people. Value is pay times 1.43 for benefits and payroll costs. Seen in Claude use splits today's share by whether Anthropic saw people bring each task to Claude in 2025; other AI tools are not counted. How it works

Questions about this industry

How much of the work in Agents and Managers for Artists, Athletes, Entertainers, and Other Public Figures is within reach of AI now?
An estimated 59% of the paid hours in Agents and Managers for Artists, Athletes, Entertainers, and Other Public Figures are within reach of AI models now and 67% by the end of 2028, on METR's long-run pace at four in five (66% to 68% across the three paces the site shows). Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
Which jobs in Agents and Managers for Artists, Athletes, Entertainers, and Other Public Figures carry the most hours within reach?
By hours within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index): Agents and Business Managers of Artists, Performers, and Athletes (9,970 people, 68% of their time, about 14 million hours a year); Secretaries and Administrative Assistants, Except Legal, Medical, and Executive (3,040 people, 59% of their time, about 3.7 million hours a year); and General and Operations Managers (2,020 people, 45% of their time, about 1.9 million hours a year).
Which tasks in Agents and Managers for Artists, Athletes, Entertainers, and Other Public Figures carry the most hours within reach by the end of 2028?
Keep informed of industry trends and deals (Agents and Business Managers of Artists, Performers, and Athletes, about 3.1 million hours a year); Develop contacts with individuals and organizations, and apply effective strategies and techniques to ensure their clients' success (Agents and Business Managers of Artists, Performers, and Athletes, about 2.7 million hours a year); and Send samples of clients' work and other promotional material to potential employers to obtain auditions, sponsorships, or endorsement deals (Agents and Business Managers of Artists, Performers, and Athletes, about 2.1 million hours a year).
What would people working in Agents and Managers for Artists, Athletes, Entertainers, and Other Public Figures learn first?
Among the 12,710 people in jobs reviewed task by task, the skills most often among the first two things to learn on their job's page are briefing a model and checking its drafts (10,175 people); reviewing work you did not do yourself (7,680 people); and running AI inside the business systems (4,390 people). By the end of 2028 on the long-run pace at four in five, about 33% of their working time stays with people, 43% becomes checking a model's work and 22% can be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
How is this estimated?
BLS counts the people in each occupation in Agents and Managers for Artists, Athletes, Entertainers, and Other Public Figures (May 2025); each occupation's share of working time within reach comes from its O*NET tasks, each with an estimated length checked against GDPval, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. The industry's share is those shares weighted by people. Task data covers 77% of its people, and 42% are in occupations reviewed task by task. Data checked November 10, 2026.

How the estimates are made

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