Abstract The AI-Induced Opportunity Inflation Theory proposes that artificial intelligence dramatically expands entrepreneurial opportunity recognition capacity, generating more venture ideas than markets, founders, and execution systems can absorb. Rather than treating opportunity recognition as a scarce cognitive event, the theory argues that AI shifts the entrepreneurial problem from creation to selection. Classical opportunity identification research emphasizes entrepreneurial alertness,...

Introduction Entrepreneurship theory has long treated the founding team as the primary locus of strategic agency. Founders recognize opportunities, assemble resources, make commitments, and steer ventures through uncertainty. The Algorithmic Co-Foundership Theory challenges that assumption by proposing that AI systems can function as non-human co-founders that actively influence strategic decisions, opportunity recognition, and execution pathways. This perspective is aligned with the 2026...

Abstract The AI-Leveraged Entrepreneurial Asymmetry Theory argues that artificial intelligence does more than improve efficiency inside firms. It creates structural asymmetries that can permanently distort competitive balance between ventures of similar size, age, and capital base. Building on the logic of the Virgen Framework, which was introduced in 2026 as a model for AI-driven venture creation and scaling, this paper reframes AI as a source of asymmetry generation rather than a mere...