Data report

Top 5 jobs at risk of AI in Finance (2026 edition)

The 5 most exposed Finance professions in the 2026 Job Risk Index: exposure scores, automation timelines and real salary data from the live dataset.

Rank	Profession	Risk	Level	Timeline	Median salary	Demand
01	Bank Teller	95	Critical	0-2 years	—	—
02	Tax Preparer	90	Critical	0-2 years	$65,000 · n=29	—
03	Insurance Underwriter	85	Critical	0-2 years	$98,944 · n=93	—
04	Accountant	82	Critical	0-2 years	$91,914 · n=18570	—
05	Financial Advisor	78	Critical	0-2 years	$78,770 · n=169	—

Data report

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Report

Methodology

Risk scores derive from O*NET, BLS and Anthropic's AI exposure research; salary bands from H-1B LCA records, public ATS postings and job boards; demand is observed signal from our own job-posting pipeline. Full methodology: Methodology

From the live index: 83 professions, last refreshed August 9, 2026. Scores derive from O*NET, BLS and Anthropic's AI exposure research.

Salary bands (p25/p75) for 79 occupations, updated Aug 10, 2026.

Demand is observed signal from our own job-posting pipeline (public job boards + ATS boards), 2 weeks sampled — not search interest.

Salary bands are published by source with n; they are not a census of the market.

FAQ

Frequently asked questions

01Which jobs are most at risk of AI?

The ranking comes from the live dataset: exposure scores derive from O*NET, BLS and Anthropic's AI exposure research, ordered by risk with ties resolved by profession id. The top 5 in this report are the most exposed today.

02How is the risk score calculated?

Each profession receives a 0-100 risk score from the index methodology — 0-25 low, 26-50 medium, 51-75 high, 76-100 critical. It reflects how much of the occupation's activity software can already handle, combined with employment projections.

03What does the automation timeline mean?

The timeline estimates when large-scale change could begin: 0-2 years, 2-5 years, 5-10 years or 10+ years. It comes from the same sources as the risk score.