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Financial Analysts

Business & Financial Operationshighaugment
BLS 2024-34: +9%
Median Wage: $95,080
Employment: 329K

Overall Exposure

62+14

2025 vs 2023

Theoretical Exposure

88

What AI could do

Observed Exposure

48

What AI actually does

Automation Risk Score

45

Displacement risk

3-Year Outlook (2025 → 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

62→76
+14

2025 → 2028 (estimated)

Theoretical Exposure

88→92
+4

2025 → 2028 (estimated)

Observed Exposure

48→68
+20

2025 → 2028 (estimated)

Automation Risk

45→55
+10

2025 → 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
202348822235actual
202455853540actual
202562884845actual
202667905548estimated
202772916252estimated
202876926855estimated

Task Breakdown

Analyze financial reports
65%β 1
Create financial models
55%β 0.5

About This Occupation

If you work as a Financial Analysts, AI is reshaping your profession. With an automation risk of 45/100 and overall exposure at 62%, this role faces high transformation. The highest-impact area is analyze financial reports at 65% automation. This is classified as an 'augment' role. BLS projects +9% growth through 2034. Professionals who embrace AI tools will see their capabilities significantly amplified.

Frequently Asked Questions

With an automation risk score of 45%, Financial Analysts faces a moderate level of AI-driven change. Some tasks can be automated, but many require human judgment, creativity, or interpersonal skills that AI cannot yet replicate. The role is more likely to evolve alongside AI than be replaced.

The AI automation risk score for Financial Analysts is 45% (2025 data). Overall AI exposure is 62%, with 88% theoretical exposure and 48% observed exposure. The risk trend from 2023 to 2025 is +10 points.

The tasks with the highest automation potential for Financial Analysts are: Analyze financial reports (65%), Create financial models (55%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.

The BLS projects +9% employment change for Financial Analysts from 2024 to 2034. Combined with an overall AI exposure of 62%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in Financial Analysts should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.

Recent AI Impact Changes

Apr 2026: NBER survey of 6,000 executives: 69% use AI but 90% report zero employment impact. Executives predict -0.7% employment decline over next 3 years.

[Source: NBER Working Paper 34836]

Apr 2026: Brookings 2024 highlights finance as high-exposure AND low-bargaining-power: union representation in the finance sector is around 1%. Financial analysts face productivity tool-driven task change with minimal institutional counterweight.

[Source: Brookings 2024 — Generative AI, the American worker]

Mar 2026: PwC: AI-exposed financial services saw 4x productivity growth. Workers with AI skills command 56% wage premium.

[Source: PwC AI Jobs Barometer 2025]