Source: Lenny's Newsletter
Meta is restructuring product management around AI capabilities rather than user surfaces—essentially forcing PMs to understand model behavior, inference costs, and training pipelines as first-class constraints. The bottleneck in AI-driven products isn't the models themselves but organizational structure: companies that can't rewire how they staff and evaluate product decisions will end up with expensive AI features bolted onto unchanged workflows. Unlike previous cycles of growth hacking or metrics obsession, AI integration requires sustained technical fluency because it reshapes what gets built and how, not just how existing products get measured.