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STRATUSWORKFORCE SCAN

Subsector, 533

Lessors of Nonfinancial Intangible Assets (except Copyrighted Works)

21,250 people work in this industry in the US, at mean pay of $105,740 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
51%

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

$1.3B

a year: 21 million hours at what they cost. Not a forecast of savings.

Kinds of work
  • 69%
  • 26%
  • 6%
20%

of the paid hours are within reach now in tasks people already bring to Claude. Another 31% 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: 69% 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 19,538 people in jobs so far, 92% 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.

39%

about 16 million hours a year. The material can be handed to a model and the result handed back.

12%

about 4.7 million hours a year. The model has to be connected to the system the work lives in.

, not counted
17%

about 7.1 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

  • 55%
  • 14%
  • 21%
  • 5%
  • 6%

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 19,538 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
31%

Conversation, in-person and hands-on work.

Becomes checking
56%

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

Handed over
12%

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

  • Reviewing work you did not do yourself15,978 (82%)
  • Briefing a model and checking its drafts14,976 (77%)
  • The conversations2,877 (15%)
  • Running AI inside the business systems2,870 (15%)
  • Judgment where errors are severe965 (5%)
  • The hands-on craft960 (5%)
  • Dealing with people outside the organization150 (1%)
  • Signing off under your license70 (under 1%)

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, 21%. Today's estimate: 51%.

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: 8% within reachClaude Opus 4.5, November 2025: 8% within reachGPT-5.2, December 2025: 9% within reachClaude Opus 4.6, February 2026: 10% within reachClaude Mythos Preview (early), April 2026: 21% within reachToday (estimate), November 2026: 51% 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 6% of the working time of the people in this industry as physical work. For 5% of the working time, a robot has been shown doing most of the task somewhere: 4% in a purpose-built cell, 1% in a structured facility. 0.06 of 3.

  • Not physical 94%
  • No robot shown 1%
  • In a purpose-built cell 4%
  • 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 40 largest jobs hold 90% 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. 38 smaller jobs (1,890 people) count in every total but are not listed. Task data covers 93% 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. 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
    855,322 hours100% of the task within reach
  2. Develop sales presentations or proposals to explain service specifications.Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel
    794,613 hours100% of the task within reach
  3. Identify prospective customers using business directories, leads from clients, or information from conferences or trade shows.Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel
    398,181 hours70% of the task within reach
  4. Gather data on competitors and analyze their prices, sales, and method of marketing and distribution.Market Research Analysts and Marketing Specialists
    341,329 hours100% of the task within reach
  5. Direct and coordinate activities of businesses or departments concerned with the production, pricing, sales, or distribution of products.General and Operations Managers
    319,717 hours40% of the task within reach
  6. Set prices or credit terms for goods or services, based on forecasts of customer demand.General and Operations Managers
    305,656 hours100% of the task within reach
  7. Identify, develop, or evaluate marketing strategy, based on knowledge of establishment objectives, market characteristics, and cost and markup factors.Marketing Managers
    290,109 hours77% of the task within reach
  8. Prepare staff work schedules and assign specific duties.General and Operations Managers
    287,955 hours80% of the task within reach
  9. Monitor market conditions, innovations, and competitors' services, prices, and sales.Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel
    283,428 hours100% of the task within reach
  10. Devise and evaluate methods and procedures for collecting data, such as surveys, opinion polls, or questionnaires, or arrange to obtain existing data.Market Research Analysts and Marketing Specialists
    283,364 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

Inside 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 Lessors of Nonfinancial Intangible Assets (except Copyrighted Works) is within reach of AI now?
An estimated 51% of the paid hours in Lessors of Nonfinancial Intangible Assets (except Copyrighted Works) are within reach of AI models now and 69% by the end of 2028, on METR's long-run pace at four in five (65% to 69% 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 Lessors of Nonfinancial Intangible Assets (except Copyrighted Works) carry the most hours within reach?
By hours within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index): General and Operations Managers (2,500 people, 45% of their time, about 2.3 million hours a year); Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel (1,860 people, 59% of their time, about 2.3 million hours a year); and Market Research Analysts and Marketing Specialists (1,350 people, 50% of their time, about 1.4 million hours a year).
Which tasks in Lessors of Nonfinancial Intangible Assets (except Copyrighted Works) carry the most hours within reach by the end of 2028?
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, about 855,322 hours a year); Develop sales presentations or proposals to explain service specifications (Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel, about 794,613 hours a year); and Identify prospective customers using business directories, leads from clients, or information from conferences or trade shows (Sales Representatives of Services, Except Advertising, Insurance, Financial Services, and Travel, about 398,181 hours a year).
What would people working in Lessors of Nonfinancial Intangible Assets (except Copyrighted Works) learn first?
Among the 19,538 people in jobs reviewed task by task, the skills most often among the first two things to learn on their job's page are reviewing work you did not do yourself (15,978 people); briefing a model and checking its drafts (14,976 people); and the conversations (2,877 people). By the end of 2028 on the long-run pace at four in five, about 31% of their working time stays with people, 56% becomes checking a model's work and 12% 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 Lessors of Nonfinancial Intangible Assets (except Copyrighted Works) (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 93% of its people, and 92% are in occupations reviewed task by task. Data checked November 10, 2026.

How the estimates are made

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