Sector Analysis
Creative & AI Risk
Based on Oxford Martin School Research · 2013
Creative professions are more exposed than most practitioners expected — particularly in production and execution roles.
Average risk
25%
Jobs analyzed
16
Highest risk role
Graphic Designer56% risk
Jobs in this sector
| Job title | Risk score 2026 | Level |
|---|---|---|
| Graphic Designer | 56% | Medium |
| Copywriter | 56% | Medium |
| Social Media Manager | 52% | Medium |
| Interpreter / Translator | 41% | Medium |
| Video Editor | 38% | Low |
| Marketing Manager | 25% | Low |
| UX Designer | 24% | Low |
| Actor | 21% | Low |
| Journalist | 17% | Low |
| Author / Fiction Writer | 17% | Low |
| Photographer | 13% | Low |
| Fashion Designer | 12% | Low |
| Interior Designer | 10% | Low |
| Urban Planner | 7% | Low |
| Architect | 5% | Low |
| Musician | 3% | Low |
Analysis
The Oxford research assigned relatively low automation risk to most creative occupations — graphic designers at 0.86 being a notable exception. The reasoning was that creativity, originality, and aesthetic judgment were uniquely human.
The 2020s have complicated this significantly. Generative AI systems now produce images, music, copy, and video at scale. The production layer of creative work — stock illustration, basic copywriting, template design — faces genuine displacement pressure.
What remains protected: creative direction, brand strategy, cultural insight, and the human relationships that underpin commissioning decisions. Clients still hire people they trust, whose taste they respect, whose track record they can evaluate.
The creative professionals best positioned for the next decade are those who use AI as a production accelerator while competing on vision, relationships, and cultural intelligence that tools cannot replicate.
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.