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Autores
Orientador(es)
Resumo(s)
This thesis explores how Generative Artificial Intelligence (GAI) accelerates early-stage
startups focusing on software engineering capabilities. By integrating literature review and
expert interviews, it identifies GAI's role in mitigating failure factors and enhancing success
factors. Findings suggest that GAI's impact varies across tasks, offering strategic advantages
for startup development. The study provides actionable recommendations for founders to
leverage GAI, guiding them through the challenges of entrepreneurship in the AI age. This
research fills a significant gap, offering insights and directions for future inquiry into GAIenhanced startup ecosystems.
Descrição
Palavras-chave
Startup Software engineering Generative ai Large language models Human-ai interaction Entrepreneurship
