Ideas are Dimes a Dozen: Large Language Models for Idea Generation in Innovation

I came across a fascinating research paper that puts LLMs head-to-head with human participants in a classic creativity task, and the results are worth sitting with for a moment. Ideas are Dimes a Dozen: Large Language Models for Idea Generation in Innovation examines how well models like GPT perform when asked to generate novel business and product ideas compared to actual humans.

The headline finding is both humbling and thought-provoking: LLMs can produce a higher quantity of ideas that are rated comparably in quality, but the very best human ideas still tend to stand out at the top of the distribution. What I find most interesting here is the implication for how entrepreneurs and innovators might actually use these tools — not as a replacement for human creativity, but as a brainstorming accelerant that raises the floor of ideation while humans focus energy on refining the rare genuinely exceptional concepts that machines still seem to miss.