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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
Financial Managers are more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
The career of a Financial Manager is labeled as "Resilient" because while AI can handle many of the number-crunching and data-heavy tasks, it can't replace the human skills of judgment, decision-making, and managing relationships. Financial Managers continue to play a crucial role in high-level decision-making and people management, which require personal insight and trust that AI can't fully replicate.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is resilient
The career of a Financial Manager is labeled as "Resilient" because while AI can handle many of the number-crunching and data-heavy tasks, it can't replace the human skills of judgment, decision-making, and managing relationships. Financial Managers continue to play a crucial role in high-level decision-making and people management, which require personal insight and trust that AI can't fully replicate.
Read full analysisAnalysis of Current AI Resilience
Financial Managers
Updated Quarterly • Last Update: 5/13/2026

If you're worried about AI taking over finance jobs, here's the calmer reality: finance teams are using AI heavily, but mostly to help humans rather than replace them. According to a Wolters Kluwer global survey of more than 1,600 finance leaders, nearly half (47%) identify AI adoption and implementation as the most impactful global trend today, outranking interest rate volatility and regulatory complexity, as covered in Wolters Kluwer's March 2026 announcement [1]. On the ground, the Journal of Accountancy reports [2] that a recent report by Gartner found that while close to 60% of finance teams are piloting or fully implementing AI projects, only 7% of CFOs are reporting a strong impact from that investment.
Real examples include AI that predicts which customers will be late making a payment and the specific reason they appear likely to miss it, and generative AI being used to map messy ledger data in days instead of weeks. The Institute of Management Accountants notes [3] that AI outputs must be checked and validated by humans — so judgment, communication, and ethical oversight are still very much human jobs.

Adoption is moving fast, but with bumps. The IMD business school explains [4] that as AI systems move from recommendation to action, governance becomes a core financial responsibility. This goes beyond ethics and compliance to defining decision rights, escalation thresholds, and accountability in an environment where humans and agents operate together.
That governance burden, plus regulatory scrutiny over financial data, is slowing full automation. Cost pressure pushes the other direction: CFO.com reports [5] that the analysis for January 2026 found that for the four positions combined, one-third (31%) of listings explicitly mentioned AI or machine learning skills. That was up from 25% in 2025, and salaries for some controller roles have dropped sharply.
The good news for young people: tasks like coaching teams, recruiting, building customer relationships, and leading branches stay human, while AI literacy makes you more valuable, not less.

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They help businesses manage their money by planning budgets, analyzing financial reports, and making decisions to keep the company financially healthy.
Median Wage
$161,700
Jobs (2024)
868,600
Growth (2024-34)
+14.8%
Annual Openings
74,600
Education
Bachelor's degree
Experience
5 years or more
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Prepare financial or regulatory reports required by laws, regulations, or boards of directors.
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...
Establish and maintain relationships with individual or business customers or provide assistance with problems these customers may encounter.
Examine, evaluate, or process loan applications.
Submit delinquent accounts to attorneys or outside agencies for collection.
Recruit staff members.
Oversee training programs.
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.

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