MIT and Harvard warn AI’s productivity gap risks marketing jobs
Two studies—one from MIT Technology Review and another from Harvard Business School—highlight how AI adoption in marketing may not deliver expected productivity gains. MIT’s David Rotman notes that hyperscalers like Alphabet spent $120 billion last quarter despite a $5.9 billion free cash deficit, raising questions about AI’s return on investment. A survey of 6,000 executives found 90% saw no…
Key points
- MIT study finds **90%** of 6,000 executives report no AI productivity gains over three years
- Harvard research shows repetitive marketing roles declined **13%**, analytical roles grew **20%** post-ChatGPT
- Experts warn AI-driven job cuts risk public backlash, urging marketers to track hours saved and rework rates
The studies suggest marketers who can prove AI’s ROI while preserving teams will advance. Rotman warns AI-driven job cuts could spark public backlash, while Srinivasan advises treating AI as a tool for collaboration—not cost-cutting. The authors emphasize tracking AI’s impact on hours saved, rework rates, and outcomes to justify investments. The research focuses on U.S. trends, leaving global and long-term effects uncertain.
MIT & Harvard Data Show How SEO And Paid Media Managers Become Directors via @sejournal, @gregjarboe
Search Engine Journal · 28 September 2026
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