Finance

Financial Analyst

AI Risk Score 2026

0%

You're in the grey zone.

Oxford Martin School (2013)

23%

theoretical risk

Anthropic Index (2026)

57.2%

observed today

Combined score: Oxford Martin School (Frey & Osborne, 2013) weighted 40% + Anthropic Economic Index (2026) weighted 60%. Oxford score = theoretical automation potential. Anthropic score = observed AI usage across millions of professional Claude conversations.

Oxford source ↗ · Anthropic source ↗

Sector: Finance

What AI will do

  • Building financial models from templates
  • Aggregating and normalising market data
  • Generating routine investment performance reports

What keeps you human

  • Developing original investment theses
  • Communicating nuanced risk to clients and stakeholders
  • Interpreting qualitative signals that models miss

The data-processing layer of financial analysis is being rapidly automated. But the core insight generation — spotting opportunities that models miss, building trust with clients, and making calls in ambiguous markets — still requires human judgment. Analysts who embrace AI tools will outcompete those who don't.

What to learn next →