BETA
Updated: Mar 2
BETA
Updated: Mar 2
Evolving
Last Update: 2/17/2026
Your role’s AI Resilience Score is
31.1%
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
Financial and Investment Analysts
They study financial data to help people and companies make smart investment choices, aiming to grow their money and reach financial goals.
This role is evolving
The career of Financial and Investment Analysts is labeled as "Evolving" because many routine tasks, like making charts and analyzing data trends, are being automated by AI tools. This means that computers can handle these parts of the job faster and often more accurately.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is evolving
The career of Financial and Investment Analysts is labeled as "Evolving" because many routine tasks, like making charts and analyzing data trends, are being automated by AI tools. This means that computers can handle these parts of the job faster and often more accurately.
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
Changing fast5.6%
5.6%
Microsoft's Working with AI
AI Applicability
Changing fast17.8%
17.8%
Anthropic's Economic Index
AI Resilience
Changing fast11.9%
11.9%
Will Robots Take My Job
Automation Resilience
Changing fast15.0%
15.0%
High Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
5.7%
Growth Percentile:
78.1%
Annual Openings:
25,100
Annual Openings Pct:
72.6%
Analysis of Current AI Resilience
Financial & Investment Analysts
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
Financial analysts already use software to do a lot of data work. For example, analysts often “draw charts and graphs using spreadsheets” [1], and modern tools can auto-generate these visuals. In fact, the U.S. Bureau of Labor Statistics notes AI-driven software can “offer data visualization tools” to speed up charting and budgeting tasks [2].
Likewise, AI helps with number-crunching: a recent study found AI-based models made market forecasts about 30% more accurate than older methods [3]. Researchers also point out that AI is used for predicting trends, managing portfolios, and analyzing risks in finance [4].
AI is also helping analysts keep up with news and trends. For example, Bloomberg’s Terminal software now uses generative AI to create quick bullet-point summaries of financial news [5], and other tools distill large volumes of news into concise insights [5]. This means analysts can scan important headlines faster.
At the same time, experts say human skills remain crucial. BLS observes that tasks like explaining results or talking with clients still “require conversations between humans” [2]. In practice, AI is automating routine data work (like making charts or flagging trends) and giving analysts more time to focus on analysis and advice.
Sources
AI in the real world
Finance firms have strong reasons to try AI: it can save time and uncover useful patterns. Big financial data companies (like Bloomberg) are already rolling out AI features [5], and studies show better forecasting with AI [3], which encourages rapid use. Many banks and investment groups can afford the cost of new software because the efficiency gains are appealing.
On the other hand, adoption isn’t rush-hour. Finance is highly regulated and mistakes can be costly, so companies move carefully. Training AI systems and making sure they’re reliable takes time and money.
The BLS also points out that jobs for analysts are still growing, since so much of the work involves judgment and communication that AI can’t replace [2]. In short, AI tools are helping analysts do their jobs faster and get new insights, but the human role remains key. Analysts will likely use AI as a smart assistant while they concentrate on the creative, strategic parts of their work.
Sources
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More Career Info
Career: Financial and Investment Analysts
Parent Careers
Employment & Wage Data
Median Wage
$101,350
Jobs (2024)
368,500
Growth (2024-34)
+5.7%
Annual Openings
25,100
Education
Bachelor's degree
Experience
None
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
Prepare all materials for transactions or execution of deals.
2
Collaborate with investment bankers to attract new corporate clients to securities firms.
3
Structure marketing campaigns to find buyers for new securities.
4
Recommend investments and investment timing to companies, investment firm staff, or the public.
5
Supervise, train, or mentor junior team members.
6
Determine the prices at which securities should be syndicated and offered to the public.
7
Conduct financial analyses related to investments in green construction or green retrofitting projects.
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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