AI made speed free. Signal and trust are the new moats.

Lena argues that AI has made implementation cheap and fast for everyone, collapsing the value of average work. The real competitive advantage now is deciding what to build and why, not how quickly you can build it. Most teams are competing on speed, but speed is no longer a differentiator when

everyone has it. The new job is defining your 'signal layer'—the specific, unaverageable point of view that makes your product or team different. This requires being genuinely close to a real problem, with battle-scarred domain insight that AI cannot replicate because it only knows the past. Broad taste is also

replicatable; what resists training is judgment about what hasn't happened yet and relationships the model can't observe. Signal must survive distortion through three common failure modes: source distortion (compression past legibility by founders), organization distortion (averaging through management layers), and machine distortion (AI remixing claims into promises). The fix is

a deliberate signal layer that validates and carries intent intact across handoffs. The ultimate goal is trust—the only thing with no benchmark, no reward signal, and no automation shortcut. Getting signal wrong costs real money in tokens, infra, and reputation. The bottom line: when everyone can build anything, build trust.