Medium: How AI is changing collaboration inside product teams

This article by Claudio Y. Chea, published in late March 2026, focuses on the organizational side of AI adoption — specifically how AI changes the way product, design, and engineering disciplines work together, rather than what individual contributors can do with new tools.

Context

The article draws on an interview with Jenny Wen, head of design at Anthropic, who discusses how AI is reshaping the role of design within product teams. This grounding in a real practitioner’s perspective distinguishes it from more theoretical takes on the same subject.

What changes

Chea identifies four structural shifts. The first he calls the proximity effect: AI-generated prototypes mean that cross-functional discussions increasingly happen around working artifacts rather than abstract plans. The context loss that occurs when a PM hands off to design or engineering shrinks when everyone is iterating on the same live prototype.

The second shift is faster feedback cycles. The key point here is not pure speed, but the tighter loop between idea, output, and learning. Teams can run more experiments per sprint, but only if they have clear criteria for what they are testing — otherwise speed produces noise rather than insight.

Third, AI expands contribution: designers begin engaging with technical constraints earlier, and engineers participate in product thinking before a spec is finalized. The sequential, siloed handoff model weakens when AI makes early-stage work cheaper to produce.

The fourth shift is clarity as competitive advantage. Because AI can generate plausible outputs quickly, teams encounter popular but wrong directions sooner. The ability to evaluate and discard those directions — which requires shared product principles and decision-making frameworks — becomes more valuable than the ability to generate options.

Who it is useful for

The article is most relevant for PMs in cross-functional teams who are trying to understand how AI changes the structure of collaboration, not just the speed of execution. At around 1,100 words, it is a short read that focuses on organizational dynamics rather than individual tool use.