Difang Huang, Shumin Yu, Fadong Chen, Weihua Zhou · 2026 · SSRN Electronic Journal
DOI: 10.2139/ssrn.7592800 · cited by 0 works (OpenAlex) · open-access PDF
生成人工智能使选项便宜,并将创意工作的瓶颈从生成选项转移到筛选它们。我们认为人工智能的价值取决于其选项是否在团队屏幕之前或之后到达。在我们的模型中,早期选项在组合中争夺一个位置;晚期选项在竞争之后到达,并未进行筛选。
Machine translation (Meta M2M100); the English original follows.
Generative AI makes options cheap and shifts the bottleneck of creative work from generating options to screening them. We argue that AI's value depends on whether its options arrive before or after the team's screen. In our model, early options compete for a place in the portfolio; late options arrive after that competition and are kept unscreened. In a preregistered experiment, we randomly assigned 148 three-person teams to five schedules of access to the same language model during a product-design task with timed search and selection stages. Moving the same 15 minutes of access from search
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Topics: Selection (genetic algorithm), Creativity, Task (project management), Generative grammar, Bottleneck, Competition (biology)
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