The Hidden Cost of AI-Assisted Creativity
Executive Take
Leaders should redesign creative workflows to sequence human-led ideation before AI involvement, and audit existing AI-assisted processes for silent convergence on "good enough" ideas rather than assuming quality gains equal innovation gains.
Executive Summary
MIT Sloan Management Review synthesizes four studies (story writing, circular-economy solutions, caption contests, collaborative storytelling) finding AI assistance improves individual creative output quality but reduces collective idea diversity. AI used in idea generation narrows diversity; AI used only for idea selection preserves variety comparable to human-only work. Examples cited include Ubisoft's Ghostwriter and Colgate-Palmolive's multi-AI innovation workflow.
Why It Matters
AI and Technology leaders deploying generative tools across product, marketing, and R&D teams should note that AI can quietly homogenize collective output even as it raises average quality, undermining long-term innovation pipelines; HR and Leadership executives designing AI-augmented workflows need concrete sequencing rules to protect creative differentiation.