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
A IA geradora torna as opções baratas e muda a barreira do trabalho criativo da geração de opções para o rastreamento. Argumentamos que o valor da IA depende de se suas opções chegam antes ou depois da tela da equipe. Em nosso modelo, as opções iniciais competem por um lugar no portfólio; as opções tardias chegam após essa competição e são mantidas sem rastreamento. Em um experimento pré-registrado, atribuímos aleatoriamente 148 equipes de três pessoas a cinco agendas de acesso ao mesmo modelo de idioma durante uma tarefa de design de produto com fases de pesquisa e seleção programadas.
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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