Will AI replace treasurers and controllers?

Unlikely, though parts of the work are changing. About 2h 11m of an 8-hour shift goes to tasks touched by AI working on its own. The breakdown: 17m done by people with AI help, 1h 54m that AI mostly does alone. The other 5h 49m (73%) stays with people. Separately, BLS expects about 9.7% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 3 of 22 tasks, about 2h 11m of a typical shift. The biggest ones:

• Prepare or direct preparation of financial statements, business activity reports, financial position forecasts, annual budgets, or reports required by regulatory agencies. (1h 9m a shift, AI mostly does it alone)
• Analyze the financial details of past, present, and expected operations to identify development opportunities and areas where improvement is needed. (46m a shift, AI mostly does it alone)
• Maintain current knowledge of organizational policies and procedures, federal and state policies and directives, and current accounting standards. (17m a shift, people use AI to help)

Not in workplaces like this one, based on a 2026 review of robot deployments. 1 more task has only been done in factory setups built around the machine, so it stays with people here.

5h 49m of a typical shift, or 73%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• Coordinate and direct the financial planning, budgeting, procurement, or investment activities of all or part of an organization. (46m a shift)
• Supervise employees performing financial reporting, accounting, billing, collections, payroll, and budgeting duties. (46m a shift)
• Monitor financial activities and details, such as cash flow and reserve levels, to ensure that all legal and regulatory requirements are met. (34m a shift)
• Advise management on short-term and long-term financial objectives, policies, and actions. (34m a shift)
• Receive, record, and authorize requests for disbursements in accordance with company policies and procedures. (23m a shift)

Much of it comes down to where and how the work happens. In-person, hands-on and high-stakes work is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 92% talk face to face with others every day
• 68% are in constant contact with other people
• 54% say a mistake would be very or extremely serious

For the 2 tasks in this job where AI shows up and timing data exists, a typical request takes about 9h 6m for a person alone and about 41m with AI. These are Claude's own estimates from real conversations in April and May 2026 (Anthropic Economic Index). They describe single requests, not whole workdays, and time saved on a task doesn't mean jobs are cut. The biggest gaps:

• Prepare or direct preparation of financial statements, business activity reports, financial position forecasts, annual budgets, or reports required by regulatory agencies (about 9h 32m alone, 31m with AI)
• Analyze the financial details of past, present, and expected operations to identify development opportunities and areas where improvement is needed (about 8h 40m alone, 52m with AI)

On Indeed, job postings in the Banking & Finance sector are at 106% of their February 2020 level (all U.S. postings: 104%), up 10.8% from a year earlier, as of Oct 9, 2026. BLS separately expects about 66,000 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $166,570 a year ($80.08 an hour), 227% above the median for all U.S. jobs ($50,980). Most people in this job earn between $94,310 and $323,270 or more a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 9.7% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 965,000 jobs in 2035. It expects about 66,000 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 842,000 people in the U.S., roughly 0.54% of all workers (BLS, May 2025). That makes it the 47th largest of the 796 jobs on this site. BLS expects about 965,000 in 2035.

The most common requirement is a bachelor's degree: about 56% of people in the job said so in the official O*NET survey. O*NET rates the job at level 4 of 5 for preparation, which usually means: bachelor's degree. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Management of Financial Resources, Mathematics, Judgment and Decision Making, Complex Problem Solving
• Get strong at the parts of the job that stay with people (listed above), which take 5h 49m of a typical shift
• Tools employers list: SAP software, Microsoft PowerPoint, Microsoft Office software, Microsoft Excel, Intuit QuickBooks
• Learn to use AI well on the tasks where it already shows up in this job (listed above)

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Compensation and Benefits Managers (0m touched, $149k median pay)
• Financial Examiners (24m touched, $94k median pay)
• Sales Managers (26m touched, $148k median pay)
• General and Operations Managers (1h 14m touched, $106k median pay)
• Chief Executives (40m touched, $214k median pay)

Each task carries its own evidence label. For this job: 3 observed in real AI use, 19 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.