As artificial intelligence transforms software development, the traditional incentive structures that have powered open source collaboration face significant disruption. In a discussion with economist Miklós Koren, experts examined how agentic coding—AI systems capable of writing personalized code on demand—is fundamentally reshaping the software industry's economic landscape. The shift toward individualized, AI-generated solutions is eroding the collaborative ethos that built modern software infrastructure, as developers increasingly rely on customized AI output rather than shared, community-maintained codebases. The economic implications run deep. Open source has thrived on incentives for contribution and recognition within development communities, but on-demand agentic coding threatens to commodify software development in ways that devalue collaborative work. The discussion highlighted how this transition mirrors broader technological shifts where personalization and efficiency supersede the network effects of shared resources. This raises critical questions about sustainability: if developers shift away from contributing to shared codebases, how will foundational software projects be maintained and improved? The conversation underscores a pivotal moment for the technology sector. While AI-driven coding offers undeniable productivity gains for individual developers and enterprises, the long-term consequences for open source ecosystems—which have been foundational to modern computing—remain uncertain. The industry faces a choice between embracing short-term efficiency gains and preserving the collaborative infrastructure that has enabled technological progress.