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
La IA generativa hace que las opciones sean baratas y desplaza la barrera del trabajo creativo de generar opciones a rastrearlas. Argumentamos que el valor de la IA depende de si sus opciones llegan antes o después de la pantalla del equipo. En nuestro modelo, las opciones tempranas compiten por un lugar en la cartera; las opciones tardías llegan después de esa competencia y se mantienen sin rastrear. En un experimento pre-registrado, asignamos aleatoriamente a 148 equipos de tres personas a cinco horarios de acceso al mismo modelo de idioma durante una tarea de diseño de producto con etapas de búsqueda y selección cronológicas.
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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