Study predicts marketing jobs that are most at risk from growth of AI

Top of the list is copywriter, followed by customer experience specialist, advertising sales agent, radio promotions manager, and video content editor. 

According to Linkee AI, the rankings reveal more than just which jobs are vulnerable. They show how marketing itself is being redefined. Roles that once sat at the centre of any campaign, like copywriting and customer experience, are increasingly treated as tasks to be automated rather than careers that can be mastered. 

By contrast, the roles with lower risk scores aren’t just ‘creative’ or ‘strategic’. They’re multidisciplinary. For example, product marketing managers and marketing analysts work at the intersection of data, storytelling and business goals, making them harder to replace. 

Strategy, data, and creativity to the fore 

“The data shows it’s not just about individual careers. It’s about the structure of marketing itself – pushing task-based roles to the background and bringing strategy, data, and creativity to the front,” the company says. 

“The roles that last aren’t the ones producing more. They’re the ones deciding what matters,” comments Vahan Poghosyan, Co-Founder & CEO at Linkee. 

“Product marketers and analysts score lower risk not because they’re untouched by AI, but because they operate at the intersection of multiple careers. The advantage isn’t in how fast you can generate, but in how far you can expand. Prompting is just a skill. Quick judgment and flexibility are the differentiators.” 

These are the top 10 marketing-related jobs that the Linkee AI study believes are most at risk: 

1. Copywriter 
2. Customer Experience Specialist 
3. Advertising Sales Agent 
4. Radio Promotions Manager 
5. Video Content Editors 
6. BTL Marketing Specialist 
7. SEO Specialist 
8. Marketing Analyst 
9. Graphic Designer 
10. Product Marketing Manager. 

 Poghosyan believes that, to stay competitive, marketers must pair core skills with a secondary discipline, build genuine AI fluency, move upstream into problem selection and positioning, and demonstrate real impact with revenue-linked metrics.