Will AI replace financial managers?

Some tasks are already being done by AI or machines; the rest still needs a person. About 2h 17m of a typical shift is made up of tasks that AI or robots have done on their own in real use somewhere. That doesn't mean those hours are automated in a typical workplace. The other 5h 43m (71%) stays with people. Separately, BLS expects about 9.7% more of these jobs by 2035 (all jobs: +3.5%).

AI shows up regularly in 5 of 17 tasks, about 2h 17m of a typical shift. The biggest ones:

• Develop or analyze information to assess the current or future financial status of firms. (58m a shift, AI mostly does it alone)
• Establish and maintain relationships with individual or business customers or provide assistance with problems these customers may encounter. (37m a shift, AI mostly does it alone)
• Recruit staff members. (16m a shift, AI mostly does it alone)
• Examine, evaluate, or process loan applications. (16m a shift, AI mostly does it alone)
• Review reports of securities transactions or price lists to analyze market conditions. (11m a shift, AI mostly does it alone)

5h 43m of a typical shift, or 71%, 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:

• Plan, direct, or coordinate the activities of workers in branches, offices, or departments of establishments, such as branch banks, brokerage firms, risk and insurance departments, or credit departments. (1h 9m a shift)
• Evaluate data pertaining to costs to plan budgets. (47m a shift)
• Prepare financial or regulatory reports required by laws, regulations, or boards of directors. (47m a shift)
• Oversee the flow of cash or financial instruments. (32m a shift)
• 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. (32m 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

We track 2 sourced company moves that affect this job. Most recent:

• Aug 29, 2025: Gartner: 70% of finance functions to use AI for real-time decisions (Forecast)
• Nov 19, 2024: 57% of CFOs expect smaller finance teams by 2026 due to AI (Forecast)

For the 4 tasks in this job where AI shows up and timing data exists, a typical request takes about 6h 9m for a person alone and about 53m 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:

• Review reports of securities transactions or price lists to analyze market conditions (about 7h 41m alone, 40m with AI)
• Develop or analyze information to assess the current or future financial status of firms (about 6h 57m alone, 30m with AI)
• Examine, evaluate, or process loan applications (about 5h 21m alone, 1h 5m 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, Management of Personnel Resources, Mathematics, Time Management
• Get strong at the parts of the job that stay with people (listed above), which take 5h 43m of a typical shift
• Tools employers list: SAP software, Microsoft PowerPoint, Microsoft Outlook, Microsoft Office software, Microsoft Excel
• 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:

• Gambling Managers (45m touched, $93k median pay)
• Compensation and Benefits Managers (0m touched, $149k median pay)
• Sales Managers (26m touched, $148k median pay)
• Human Resources Managers (0m touched, $149k median pay)
• Fundraising Managers (59m touched, $125k median pay)

Each task carries its own evidence label. For this job: 5 observed in real AI use, 12 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.