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STRATUSWORKFORCE SCAN

Metro area, Maryland

Lexington Park, MD

70,650 people work in this area, at mean pay of $82,580 a year (BLS, May 2025), in every industry. What follows is how much of their working time the best AI models could finish, when, and in which jobs and tasks. Estimates.

now
33%

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

$2.7B

a year: 43 million hours at what they cost. Not a forecast of savings.

Kinds of work
  • 46%
  • 23%
  • 32%
8%

of the paid hours are within reach now in tasks people already bring to Claude. Another 25% 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: 46% 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 60,461 people in jobs so far, 86% of the area'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.

23%

about 28 million hours a year. The material can be handed to a model and the result handed back.

10%

about 12 million hours a year. The model has to be connected to the system the work lives in.

, not counted
8%

about 9.6 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

  • 34%
  • 11%
  • 9%
  • 15%
  • 32%

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 60,461 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
55%

Conversation, in-person and hands-on work.

Becomes checking
36%

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

Handed over
7%

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 yourself28,601 (47%)
  • Briefing a model and checking its drafts23,511 (39%)
  • The hands-on craft22,380 (37%)
  • The conversations16,208 (27%)
  • Judgment where errors are severe14,542 (24%)
  • Signing off under your license5,810 (10%)
  • Running AI inside the business systems4,780 (8%)
  • Dealing with people outside the organization2,940 (5%)
  • Handling protected records80 (under 1%)

How far this has come

With GPT-4, measured in March 2023, 0% of this area'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, 16%. Today's estimate: 33%.

0%10%20%30%40%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: 1% within reachClaude 3.7 Sonnet, February 2025: 1% within reacho3, April 2025: 4% within reachGPT-5, August 2025: 6% 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: 9% within reachClaude Mythos Preview (early), April 2026: 16% within reachToday (estimate), November 2026: 33% 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 36% of the working time of the people in this area as physical work. For 26% of the working time, a robot has been shown doing most of the task somewhere: 19% in a purpose-built cell, 7% in a structured facility, 1% in any setting. 0.35 of 3.

  • Not physical 64%
  • No robot shown 10%
  • In a purpose-built cell 19%
  • In a structured facility 7%
  • In any setting 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 51% of the people.

PeoplePay here
General and Operations Managers1,99045%1.9 million$106K
Secretaries and Administrative Assistants, Except Legal, Medical, and Executive1,26059%1.5 million$48K
Project Management Specialists98058%1.2 million$104K
Retail Salespersons2,25023%1.1 million$34K
Logisticians1,35038%1.1 million$132K
Management Analysts1,30037%987,000$130K
Customer Service Representatives66064%884,083$36K
Elementary School Teachers, Except Special Education1,20035%866,113$76K
Medical Secretaries and Administrative Assistants44084%772,429$45K
Aerospace Engineers96038%752,823$138K
Office Clerks, General63056%740,376$46K
Software Developers72048%720,359$133K

People: BLS counts for this area, May 2025. Pay here: the median paid for the job in this area, else its mean, else the national median. 250 smaller jobs (31,310 people) count in every total but are not listed. Task data covers 91% of the area'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 area, on the chosen pace and reliability.

  1. Develop and implement records management program for filing, protection, and retrieval of records, and assure compliance with program.Management Analysts
    642,430 hours100% of the task within reach
  2. Analyze data gathered and develop solutions or alternative methods of proceeding.Management Analysts
    429,949 hours100% of the task within reach
  3. Gather and organize information on problems or procedures.Management Analysts
    320,866 hours80% of the task within reach
  4. Coordinate conferences, meetings, or special events, such as luncheons or graduation ceremonies.Secretaries and Administrative Assistants, Except Legal, Medical, and Executive
    308,248 hours60% of the task within reach
  5. Redesign the movement of goods to maximize value and minimize costs.Logisticians
    304,413 hours100% of the task within reach
  6. Perform system lifecycle cost analysis and develop component studies.Logisticians
    304,413 hours100% of the task within reach
  7. Maintain knowledge of current sales and promotions, policies regarding payment and exchanges, and security practices.Retail Salespersons
    272,633 hours50% of the task within reach
  8. Direct and coordinate activities of businesses or departments concerned with the production, pricing, sales, or distribution of products.General and Operations Managers
    254,495 hours40% 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
    251,675 hours100% of the task within reach
  10. Set prices or credit terms for goods or services, based on forecasts of customer demand.General and Operations Managers
    243,302 hours100% of the task within reach

The regional report on Lexington Park, MD

This page lists the largest jobs. The scan reads the whole workforce: every occupation BLS publishes here that the site has task data for, 91% of the people, at their local headcount and pay. The preview is free. The full report ($249, or included in Pro) is the report for a workforce board, a college or an economic development team: every occupation and the tasks behind its hours, what handing the work over would take, what changes for the people in each job and what they would learn, with the workbook and the slides to cite. Dated, with the method. For workforce boards and colleges

See what it holds first: the full report for Worcester, MA, Excel and slides.

Other areas in Maryland

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 area; each job's tasks and their lengths give its share within reach at a date; the area'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 area

How much of the work in Lexington Park, MD is within reach of AI now?
An estimated 33% of the paid hours in Lexington Park, MD are within reach of AI models now and 45% by the end of 2028, on METR's long-run pace at four in five (42% to 46% 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 Lexington Park, MD 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 (1,990 people, 45% of their time, about 1.9 million hours a year); Secretaries and Administrative Assistants, Except Legal, Medical, and Executive (1,260 people, 59% of their time, about 1.5 million hours a year); and Project Management Specialists (980 people, 58% of their time, about 1.2 million hours a year).
Which tasks in Lexington Park, MD carry the most hours within reach by the end of 2028?
Develop and implement records management program for filing, protection, and retrieval of records, and assure compliance with program (Management Analysts, about 642,430 hours a year); Analyze data gathered and develop solutions or alternative methods of proceeding (Management Analysts, about 429,949 hours a year); and Gather and organize information on problems or procedures (Management Analysts, about 320,866 hours a year).
What would people working in Lexington Park, MD learn first?
Among the 60,461 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 (28,601 people); briefing a model and checking its drafts (23,511 people); and the hands-on craft (22,380 people). By the end of 2028 on the long-run pace at four in five, about 55% of their working time stays with people, 36% becomes checking a model's work and 7% 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 Lexington Park, MD (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 area's share is those shares weighted by people. Task data covers 91% of its people, and 86% are in occupations reviewed task by task. Data checked November 10, 2026.

How the estimates are made

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