Eseandre Mordi
● Two tech leaders are sounding the alarm about how AI is changing the game for modern teams. The takeaway? AI is great at churning out code, but it's terrible at deciding what's actually worth building.
● Levie puts it: when AI makes engineers 2-3x faster, the bottleneck shifts. It's no longer about writing software—it's about knowing what problems to solve and designing the right solutions. "We're going to see lots of new bottlenecks emerge that nobody saw coming," he warned. AI handles the execution brilliantly, but creativity and strategic direction? Still very much a human job.
● This creates what Levie calls an "AI productivity paradox." As automation speeds up the grunt work downstream, all the complexity gets pushed upstream to design and decision-making. You can't just predict how this plays out—you have to watch it unfold as companies adopt AI at scale.
● Luke Wroblewski sees this playing out in real time. His teams are "producing code at 10x of a typical high-velocity team," but design systems and UX processes haven't caught up. The result? A widening gap between what teams can build and what they should build. Without better frameworks for design and strategy, product quality starts to fracture.
● The implications go beyond tech. As AI accelerates execution across industries, organizations need to rethink how they prioritize and design work. Leadership, creativity, and design thinking are becoming the new productivity engines in the AI era.
Eseandre Mordi
