AI Breaks Traditional Value Signals, Demanding New Proof
AI tools like Lovable and Claude accelerate code and app generation—GitHub projects and Apple Store apps are exploding—making output cheap and abundant. This erodes the old chain where production signaled effort and expertise: a polished project no longer proves skill since anyone can vibe-code it quickly. The crisis hits everyone: college grads can't land jobs, mid-career PMs can't showcase impact, and teams deploy misunderstood features (e.g., Amazon's AI tool deleted production env, causing 13-hour AWS outage). Layoffs reflect recalibrated worth—Oracle (30k cuts), Block (4k), Amazon (16k), Salesforce (thousands), Dell (11k), totaling 60k+ in Q1 2026—prioritizing 'people + AI' efficiency. Result: talent allocation fails for hiring, promotions, and economy-wide routing.
Comprehend Deeply and Explain Concisely to Build Taste
Optimize for comprehension over generation: after AI-building, reverse-engineer your work by asking: What does this do for customers? Dependencies? Blast radius if broken? Trade-offs chosen? AI overrides? What I discarded? One fully understood project teaches more than 10 superficial ones, replacing apprenticeship grunt work (ticket triage, docs) with self-directed depth. This forges 'taste'—pattern recognition of what works/survives—enabling fast, steered shipping. Make explanation an inseparable artifact: ship with plain answers to 'What/Why/Fragilities/Learnings?' (e.g., schemas' scaling role from Open Brain project). Like commit messages, it proves understanding; AI-generated slop gets exposed in conversations. Teams shipping incomprehensible code risk org-level failures.
Embrace Microtransactions, Open Work, and Centralized Profiles
Replace stale credentials (e.g., AI-faked theses) with transaction histories: showcase 'micro jobs'—compressed, paid value exchanges proving market validation, not years-long stints. Work openly to broadcast reps beyond company walls, turning side gigs social like Venmo payments; GitHub helps engineers, but all need provable artifact homes despite discomfort (boss visibility, accountability). Centralize on public profiles like Talent Board: pin projects with explanations, GitHub links, claw artifacts— inseparable proof of thinking. Scattered work (expired URLs, dead chats) hides value; visible boards combat 'slop factory' assumptions, letting you demonstrate rising worth via human intent atop AI.