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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: 5/19/2026
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%).
Med
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
Personal Financial Advisors are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Personal financial advisors are holding up well because the heart of their job — building trust, understanding someone's fears and dreams about money, and coaching people through big life decisions — is something AI simply can't replicate. While AI is already taking over time-consuming tasks like summarizing reports, monitoring markets, and running financial scenarios, surveys show that 80% of wealthy households still want a real human guiding their financial future.
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 mostly resilient
Personal financial advisors are holding up well because the heart of their job — building trust, understanding someone's fears and dreams about money, and coaching people through big life decisions — is something AI simply can't replicate. While AI is already taking over time-consuming tasks like summarizing reports, monitoring markets, and running financial scenarios, surveys show that 80% of wealthy households still want a real human guiding their financial future.
Read full analysisAnalysis of Current AI Resilience
Personal Financial Advisor
Updated Quarterly • Last Update: 5/14/2026

Right now, AI isn't replacing financial advisors — it's reshaping what they actually do day-to-day. According to a major McKinsey report covered by Open Magazine, "nearly 80 per cent of affluent households still prefer a human relationship for financial advice," but "AI will quickly replace tasks such as preparation, extraction, drafting, and scenario planning, especially in document-heavy planning and service work". That lines up with the high automation scores on tasks like recommending products, summarizing performance reports, and monitoring markets.
Investment Executive's coverage of the same report [1] explains that AI will automate scenario planning and other document-heavy tasks, while the advisor role — to the extent it's focused on judgment and client coaching — will remain intact. Institutional Investor reports [2] that access to improved technology, including agentic AI and greater data integration, will allow wealth managers to implement more bespoke services to a broader set of clients — meaning advisors get superpowers, not pink slips. The CFP Board [3] even published a Generative AI Ethics Guide to help advisors use these tools responsibly.

Adoption is moving fast but unevenly. A Financial Advisor Magazine survey [4] found that for the first time in four years, advisor satisfaction with firm technology declined, with nearly two-thirds of advisors (66%) saying their firm's technology needs improvement, up sharply from 50% last year — a sign demand for AI tools is outpacing supply. Reassuringly, ninety percent of advisors said they do not think AI will make their profession obsolete within the next decade.
Markets, however, are watching closely: when Altruist launched an AI tax-planning tool, publicly listed wealth managers lost [5] more than USD 20 billion in market value in one session, with drawdowns reaching over USD 100 billion within three weeks. Trust and regulation will slow things down — money is personal, and people want a human they can call when life gets hard. If you're considering this career, the path forward is clear: learn the AI tools, but double down on listening, empathy, and behavioral coaching.
Those are the skills that wealth management trends in 2026 [6] confirm machines still can't deliver.

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They help people manage their money by giving advice on saving, investing, and planning for future goals like buying a house or retiring.
Median Wage
$102,140
Jobs (2024)
326,000
Growth (2024-34)
+9.6%
Annual Openings
24,100
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Devise debt liquidation plans that include payoff priorities and timelines.
Explain to clients the personal financial advisor's responsibilities and the types of services to be provided.
Implement financial planning recommendations or refer clients to someone who can assist them with plan implementation.
Interview clients to determine their current income, expenses, insurance coverage, tax status, financial objectives, risk tolerance, or other information needed to develop a financial plan.
Analyze financial information obtained from clients to determine strategies for meeting clients' financial objectives.
Investigate available investment opportunities to determine compatibility with client financial plans.
Inform clients about tax benefits, government rebates, or other financial benefits of alternative fuel vehicle purchases or energy efficient home construction, improvements, or remodeling.
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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