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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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Mostly Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
58.4%
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.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forInvestment Fund Managers
Investment Fund Managers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Investment fund manager careers are labeled as "Mostly Resilient" because while AI can handle routine data tasks like reporting and market analysis, it doesn't replace the human skills critical for this role. Fund managers still lead strategy, make judgment calls, and maintain client relationships, which require intuition, ethics, and communication.
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Investment fund manager careers are labeled as "Mostly Resilient" because while AI can handle routine data tasks like reporting and market analysis, it doesn't replace the human skills critical for this role. Fund managers still lead strategy, make judgment calls, and maintain client relationships, which require intuition, ethics, and communication.
Read full analysisAnalysis of Current AI Resilience
Investment Fund Managers
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Investment Fund Managers jobs?
Investment fund managers spend much of their day analyzing data and reports. Today, many firms use AI tools to help with these duties. For example, software can look through news and company filings to pull out risks or trends quickly [1] [2].
Industry surveys find nearly all managers use AI for research and idea generation (about 91% currently or planning to) [3] [4]. In practice, AI often produces draft analyses or performance summaries at speed, while humans review and interpret them. Experts stress that AI is mainly augmenting human work in finance – letting machines do number-crunching so people can focus on judgement [1] [4].
Some tasks are partly automated already. Algorithmic tools routinely trade stocks and rebalance portfolios by set rules, and AI can continuously monitor portfolio risk [2] [5]. Even so, fund managers still guide strategy and answer client questions.
Things that need creativity or trust – like designing a new fund strategy or hiring a team member – remain human-led for now [1] [4]. In short, AI handles routine data work (reporting, alerts, model tests) but managers keep the final say. Human skills like intuition, ethics and communication remain very important in investing [1] [4].
Sources
How fast is AI adoption growing for Investment Fund Managers?
Asset management firms have strong reasons to adopt AI quickly. Consultants note that new AI systems could cut 25–40% of managers’ costs by automating research, compliance checks, and other back-office tasks [6] [4]. Many tools are already available: large language models and analytics apps can draft reports or scan for market signals.
Surveys show nearly all large managers either use or plan to use AI to boost productivity [3] [4]. In fact, a recent industry report found about 95% of asset managers now use some generative AI in operations [7]. Firms see AI as a way to improve efficiency and find new insights without fully replacing people.
At the same time, adoption remains cautious. Data quality and explainability are big concerns: if models “hallucinate” or use bad data, mistakes can happen [7] [4]. Regulations in finance also slow change.
Investment rules demand clear records of why a decision was made, so managers often require human review of AI output. Surveys note many firms worry about legal and ethical issues when using AI [4] [7]. Building and testing AI systems can be costly, and managers need staff with new tech skills.
In short, while AI adoption is rising fast (especially for data analysis and risk checks), it’s measured by industry safeguards and the need for trusted human oversight [4] [7].
Sources
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More Career Info
Career: Investment Fund Managers
They help people grow their money by choosing where to invest it and making decisions to increase its value over time.
Parent Careers
Similar Careers
Employment & Wage Data
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
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Hire or evaluate staff.
2
Evaluate the potential of new product developments or market opportunities, according to factors such as business plans, technologies, or market potential.
3
Prepare for and respond to regulatory inquiries.
4
Select specific investments or investment mixes for purchase by an investment fund.
5
Select or direct the execution of trades.
6
Present investment information, such as product risks, fees, or fund performance statistics.
7
Verify regulatory compliance of transaction reporting.
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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