How product teams are restructuring for AI

AI agents are increasingly able to triage issues, generate code, and deploy fixes, reducing engineering capacity as the central constraint on software development while exposing organizational coordination as a new bottleneck. The passage argues that many companies still apply AI tools within traditional sequential handoffs among product, design, engineering, and QA teams, rather than redesigning workflows so people closest to customer problems can act directly. Drawing on examples from Anything and Airwallex, it describes support, finance, and other non-engineering teams using AI to investigate problems and build internal tools, with human attention shifting toward product strategy, customer insight, differentiation, and distribution. It also contends that domain expertise is becoming more valuable than coding ability alone, enabling specialists in fields such as recruiting, logistics, real estate, and finance to create software shaped by their operational knowledge. As AI capabilities advance rapidly and software becomes cheaper to produce, the passage concludes that companies’ ability to adapt their organizational structures, including for products used by AI agents, may determine their competitive speed and effectiveness.

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