Business and Financial Operations · United States (national)
Financial and Investment Analysts
How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is moderately exposed to automation, and meaningful change looks likely over the next 5 to 10 years.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 38.0 to 62.0
Physical / roboticsrange 0.0 to 12.0
When the change is likely
Partial, 5 to 10 yearslocal demand stable
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Use your 5 to 10 year runway
Change here is gradual. Build resilient skills steadily and watch the signals rather than waiting for a shock.
2
Lean into the human edge
The exposed parts are routine and cognitive. Invest in judgment, client relationships, and complex problem-solving that AI still cannot do.
3
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
4
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Advise clients on aspects of capitalization, such as amounts, sources, or timing.
50.0
Analyze financial or operational performance of companies facing financial difficulties to identify or recommend remedies.
50.0
Assess companies as investments for clients by examining company facilities.
100.0
Collaborate on projects with other professionals, such as lawyers, accountants, or public relations experts.
100.0
Collaborate with investment bankers to attract new corporate clients.
100.0
Conduct financial analyses related to investments in green construction or green retrofitting projects.
50.0
Confer with clients to restructure debt, refinance debt, or raise new debt.
50.0
Create client presentations of plan details.
50.0
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Assess companies as investments for clients by examining company facilities.
Task: Collaborate on projects with other professionals, such as lawyers, accountants, or public relations experts.
How this score is calculated
Map Financial and Investment Analysts to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 50.0, robotics 0.0.
The timeline comes from the higher axis (50.0), shifted for local demand (stable), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.