Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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.
What does this resilience result mean?
These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.
AI Resilience Report for
They help people grow their money by choosing where to invest it and making decisions to increase its value over time.
This role is evolving
The career of an investment fund manager is labeled as "Evolving" because AI is increasingly being used to support their work, especially in data analysis and generating ideas. While AI tools help with number-crunching and routine tasks, fund managers still need to use their human skills like judgment, creativity, and communication to make final decisions and guide strategies.
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 evolving
The career of an investment fund manager is labeled as "Evolving" because AI is increasingly being used to support their work, especially in data analysis and generating ideas. While AI tools help with number-crunching and routine tasks, fund managers still need to use their human skills like judgment, creativity, and communication to make final decisions and guide strategies.
Read full analysisContributing Sources
We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.
AI Resilience
AI Resilience Model v1.0
AI Task Resilience
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
High Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Investment Fund Managers
Updated Quarterly • Last Update: 2/17/2026

What's changing and what's not
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].

AI in the real world
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].

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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
Hire or evaluate staff.
Evaluate the potential of new product developments or market opportunities, according to factors such as business plans, technologies, or market potential.
Analyze acquisitions to ensure conformance with strategic goals or regulatory requirements.
Select or direct the execution of trades.
Prepare for and respond to regulatory inquiries.
Identify group or individual target investors for a specific fund.
Monitor regulatory or tax law changes to ensure fund compliance or to capitalize on development opportunities.
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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