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Industry group, 5222

Nondepository Credit Intermediation

510,600 people work in this industry in the US, at mean pay of $91,520 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
45%

of the paid hours. Estimate.

$22B

a year: 464 million hours at what they cost. Not a forecast of savings.

Kinds of work
  • 75%
  • 20%
  • 5%
10%

of the paid hours are within reach now in tasks people already bring to Claude. Another 35% is within reach in tasks not yet seen there.

Across the US: 22% within reach now and 37% by the end of 2028, on the long-run pace at four in five.

Share of the paid hours within reach, now to 2030

0%25%50%75%100%2027202820292030NowDesk work: 75% of the time
Chosen to Ceiling: the share
DateNow
NowEnd of 2030

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

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, 3%. With Claude Mythos Preview (early), measured in April 2026, 41%. Today's estimate: 45%.

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: 1% within reachClaude 3.7 Sonnet, February 2025: 3% within reacho3, April 2025: 12% within reachGPT-5, August 2025: 16% within reachGemini 3 Pro, November 2025: 22% within reachClaude Opus 4.5, November 2025: 22% within reachGPT-5.2, December 2025: 25% within reachClaude Opus 4.6, February 2026: 26% within reachClaude Mythos Preview (early), April 2026: 41% within reachToday (estimate), September 2026: 45% 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.

Where the hours are

Jobs by hours within reach now. The 40 largest jobs hold 89% of the people.

PeoplePay here
Loan Officers76,67077%122 million$65K
Loan Interviewers and Clerks49,10082%84 million$49K
Customer Service Representatives34,73064%47 million$47K
Securities, Commodities, and Financial Services Sales Agents24,16059%29 million$74K
Bill and Account Collectors17,75063%23 million$48K
Bookkeeping, Accounting, and Auditing Clerks8,20078%13 million$56K
First-Line Supervisors of Office and Administrative Support Workers17,11035%12 million$66K
General and Operations Managers25,18023%12 million$106K
Credit Analysts10,22048%10 million$81K
Office Clerks, General7,94054%9 million$46K
Financial Managers23,66015%7.4 million$165K
Sales Managers7,34028%4.3 million$161K

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. 108 smaller jobs (54,390 people) count in every total but are not listed. Task data covers 97% 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. Analyze applicants' financial status, credit, and property evaluations to determine feasibility of granting loans.Loan Officers
    24 million hours100% of the task within reach
  2. Work with clients to identify their financial goals and to find ways of reaching those goals.Loan Officers
    12 million hours100% of the task within reach
  3. Verify and examine information and accuracy of loan application and closing documents.Loan Interviewers and Clerks
    9.4 million hours100% of the task within reach
  4. Evaluate financial reporting systems, accounting or collection procedures, or investment activities and make recommendations for changes to procedures, operating systems, budgets, or other financial control functions.Financial Managers
    9 million hours94% of the task within reach
  5. Calculate, review, and correct errors on interest, principal, payment, and closing costs, using computers or calculators.Loan Interviewers and Clerks
    8.4 million hours100% of the task within reach
  6. Obtain and compile copies of loan applicants' credit histories, corporate financial statements, and other financial information.Loan Officers
    8.2 million hours100% of the task within reach
  7. Schedule and conduct closings of mortgage transactions.Loan Interviewers and Clerks
    8.1 million hours100% of the task within reach
  8. Obtain and examine all relevant information to assess validity of complaints and to determine possible causes, such as extreme weather conditions that could increase utility bills.Customer Service Representatives
    7.9 million hours100% of the task within reach
  9. Explain to customers the different types of loans and credit options that are available, as well as the terms of those services.Loan Officers
    7.8 million hours100% of the task within reach
  10. Stay abreast of new types of loans and other financial services and products to better meet customers' needs.Loan Officers
    7.6 million 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.

Next to this industry

Within reach now and by the end of 2028, long-run pace, four in five.

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