Resilient

Last Update: 8/30/2026

AI Resilience Score for Financial Managers:

66.4%

Median Score

Meaningful human contribution

Med

Long-term employer demand

High

Sustained economic opportunity

High

Our confidence in this score:
High

Contributing sources

Methodology and Scoring Rationale

To score how resilient financial management is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For financial managers, all eight sources had data and mostly agreed: Anthropic rated AI exposure higher than the others, while AI Resilience Model, Microsoft, Will Robots Take My Job, and OpenAI Signals all landed at medium, so confidence is high. Strong hiring and pay signals from BLS Opportunity Score, Wage Bill, and Adaptive Capacity pushed the score up, earning financial managers a "Resilient" label.

AI Resilience Report forFinancial Managers

$166,570 median salary65,600 annual openingsSOC Code: 11-3031.00

Financial Managers are more resilient to AI impacts than most occupations, according to our analysis of 8 sources.

Financial Managers are labeled "Resilient" because while AI is definitely being used to speed up tasks like budgeting, data analysis, and financial reporting, it is augmenting human work rather than replacing the people doing it. The parts of this job that matter most, including leading teams, building client relationships, making judgment calls under pressure, and navigating ethical and legal risks, are exactly the things AI still cannot do well.

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This role is resilient

Financial Managers are labeled "Resilient" because while AI is definitely being used to speed up tasks like budgeting, data analysis, and financial reporting, it is augmenting human work rather than replacing the people doing it. The parts of this job that matter most, including leading teams, building client relationships, making judgment calls under pressure, and navigating ethical and legal risks, are exactly the things AI still cannot do well.

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Analysis of Current AI Resilience

Financial Managers

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Financial Managers jobs?

Right now, AI is being used more to augment financial managers than to fully replace them. According to Deloitte's Q2 2026 CFO Signals Survey [1], 93% of CFOs say their organizations now use AI across key operations, and 44% say they use AI for financial planning and budgeting while 41% use it to analyze financial data. That maps directly to the top core task on your list — evaluating costs to plan budgets.

On the cash-flow and reporting side, Financial Executives International reports [2] that AI is now embedded in journal entry processing, financial close workflows, variance analysis, and more. But humans still lead: Gartner's finance research [3] found that 66% of finance organizations report greater efficiency and productivity as the top AI benefit, meaning AI is speeding up work rather than making decisions. The people-focused tasks — recruiting staff, mentoring teams, and building customer relationships — are barely touched.

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AI Adoption

How fast is AI adoption growing for Financial Managers?

Adoption is fast but bumpy. Gartner also found [3] that 63% of finance organizations said AI implementation was slower than expected in 2025, and reporting from CFO Dive on Gartner's 2026 Symposium [4] notes that finance organizations report their AI initiatives succeed only about 50% of the time. Risk and trust are big brakes: Deloitte's survey [1] shows balancing pressure to deploy AI quickly while managing risks is CFOs' top challenge, cited by 59%, and 43% cite potential litigation from use of protected or private content as their top external concern, with cybersecurity ranked second at 41%.

Regulation matters too — FEI warns [2] that AI adoption in finance is outpacing the development of governance guidance specific to it, since Sarbanes-Oxley demands human-auditable trails. And enthusiasm isn't universal — CFO.com reports [5] that fewer than half of finance leaders cite AI as their top trend. The upbeat news for young people: judgment, ethics, relationships, and leadership — the hardest-to-automate parts of this job — are exactly what companies still need humans for.

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Will AI replace Financial Managers?

Will AI replace Financial Managers?

No. We don't think AI will replace Financial Managers, but the job is already changing in real ways.

AI is handling more of the routine analytical work. Nearly half of CFOs say their organizations use AI for financial planning and budgeting, and a similar share use it to analyze financial data [1]. Tools are now embedded in journal entry processing, financial close workflows, and variance analysis [2]. That frees financial managers from grunt work, but it does not make them redundant.

The parts that matter most are still deeply human. Judgment calls on risk, building trust with stakeholders, leading and mentoring teams, and navigating ethical gray areas are exactly what AI cannot reliably replicate. Regulations like Sarbanes-Oxley require human-auditable decision trails, which puts a hard legal floor under human oversight [2]. And AI adoption in finance is slower and messier than the headlines suggest: finance AI initiatives succeed only about 50% of the time, and balancing speed with risk management is CFOs' top challenge (deloitte.com, cfodive.com).

Our 66.4% AI Resilience Score reflects all of this. Employer demand looks strong through 2034, and the earning potential and adaptability of this career hold up well. Financial managers who learn to work alongside AI will likely find themselves more valuable, not less.

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Latest AI news for Financial Managers

These articles highlight the evolving role of AI in finance, emphasizing that while some jobs may be at risk, many financial managers will see their roles transformed rather than eliminated. For instance, the Advisor360° survey reveals that 90% of financial advisors believe AI will redefine their work, suggesting a shift towards more strategic roles. Additionally, the piece on entry-level job cuts warns that losing foundational training could hinder future leadership. Embracing AI as a tool for enhancing skills will be essential for students entering this field, fostering resilience in their careers.

More Career Info

Career: Financial Managers

They help businesses manage their money by planning budgets, analyzing financial reports, and making decisions to keep the company financially healthy.

Parent Careers

Employment & Wage Data

Median Wage

$166,570

Jobs (2025)

879,700

Growth (2025-35)

+9.7%

Annual Openings

65,600

Education

Bachelor's degree

Experience

5 years or more

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

88% ResilienceSupplemental

Network within communities to find and attract new business.

2

82% ResilienceCore Task

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 departmen...

3

80% ResilienceSupplemental

Communicate with stockholders or other investors to provide information or to raise capital.

4

78% ResilienceCore Task

Oversee training programs.

5

75% ResilienceCore Task

Establish and maintain relationships with individual or business customers or provide assistance with problems these customers may encounter.

6

70% ResilienceCore Task

Recruit staff members.

7

58% ResilienceSupplemental

Approve, reject, or coordinate the approval or rejection of lines of credit or commercial, real estate, or personal loans.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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