OpenAI's Greg Brockman: Why Human Attention Is the New Bottleneck

AI development remains fundamentally driven by the empirical scaling laws of compute, where increasing resources consistently yield more capable models without hitting a ceiling. Despite the rapid advancement of agentic coding tools that now automate significant portions of software development, the primary constraint has shifted from technical execution to human oversight and value alignment. Founders should lean into these evolving capabilities by focusing on unique niches and ensuring AI systems have sufficient context to solve complex problems. While the industry faces ongoing challenges regarding security and infrastructure, the integration of AI into professional workflows is creating a new paradigm for productivity. As models approach AGI-like capabilities, the future of work will likely transition toward managing large-scale agentic teams, requiring a fundamental rethink of organizational structures and the role of human expertise in an increasingly automated environment.