Tech
Data Scientist
AI Risk Score 2026
0%
You're in the grey zone.
Oxford Martin School (2013)
38%
theoretical risk
Anthropic Index (2026)
46.1%
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.
Sector: Tech
What AI will do
- Running standard statistical models on clean datasets
- Automating data pipelines and ETL processes
- Generating dashboard reports and visualisations
What keeps you human
- Framing the right business questions to investigate
- Identifying data quality and bias issues
- Communicating insights to non-technical stakeholders
AutoML tools are automating large portions of the modelling workflow, but the hardest parts of data science — asking the right questions, debugging unexpected results, and driving business decisions — remain firmly human. The role is evolving, not disappearing.
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