Sector Analysis
Finance & AI Risk
Based on Oxford Martin School Research · 2013
Financial services face above-average automation risk, particularly in routine analysis and data processing roles.
Average risk
41%
Jobs analyzed
7
Highest risk role
Accountant58% risk
Jobs in this sector
| Job title | Risk score 2026 | Level |
|---|---|---|
| Accountant | 58% | Medium |
| Bookkeeper | 58% | Medium |
| Insurance Agent | 56% | Medium |
| Financial Analyst | 44% | Medium |
| Economist | 32% | Low |
| Investment Banker | 30% | Low |
| Actuarial Analyst | 12% | Low |
Analysis
The finance sector presents a divided picture. Roles centered on data processing — bookkeeping, tax preparation, basic financial analysis — face automation probability scores above 90% in the Oxford research. These tasks follow rules, process structured data, and require minimal social judgment.
Advisory and relationship roles tell a different story. Wealth managers, investment advisors, and financial planners score below 30% — their value lies in trust, behavioral coaching, and navigating ambiguous client situations that no algorithm handles well.
The pattern emerging across finance: AI augments the analyst, replaces the clerk. Professionals who move up the value chain — from processing to advising — are structurally protected.
The Oxford research was conducted before large language models existed. Current evidence suggests automation pressure on mid-level analyst roles has accelerated significantly since 2013.
Want to know your specific role?
Check your specific role →All risk scores based on Frey & Osborne (2013), Oxford Martin School. Note: this study predates generative AI — actual risk may be higher than shown.