According to Olivier Wulveryck, AI agents force a fundamental rethink of team structure. When agents produce code instantly, instead of sequential roles asking questions one at a time, one human now bears all the anticipation burden upfront. That's a crushing cognitive load problem. His solution draws on Team Topologies, an organizational model. Stream-aligned teams become business domain experts who define intent. A platform team industrializes capabilities—context, guardrails, tooling—as self-service. Enabling teams bridge gaps. Specialized teams handle deep technical complexity. The shift: the platform absorbs the anticipation burden. Business teams can produce applications without being developers. Engineers don't disappear—they shift to building the platform that enables everyone else. This pays off at scale. For organizations with three to five product teams, the math works: a shared platform beats reinventing everything project by project. Without it, you end up with shadow IT at scale.

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