AI is crossing the threshold from task optimizer to systemic reshaper — and this episode cuts through the hype to show what actually matters right now. We start in the classroom, where experts like Andrej Karpathy argue that detection is dead: multimodal models can write perfect answers and even mimic handwriting, forcing a move from take‑home grading to supervised, skills‑focused assessment. Then we surface the MIT "iceberg" economics: AI already covers ~11.7% of U.S. wages on a task basis, with administrative and finance roles hiding the largest exposure (>$1.2T), meaning entire regional workforces must reskill toward non‑automatable human skills. On the creation side we profile breakthroughs that are expanding capability and value — a genome‑scale diagnostic that solved a third of undiagnosed disorders, and Gemini 3 Pro turning video UI into deployable landing pages — showing why AI is generating both life‑saving discoveries and huge workflow wins. Finally we go under the hood: memory, layered agents, and artifact handoffs are the practical architecture making long, multi‑step digital work possible — and why the geopolitics of compute (chip export policy, national data centers) will determine who wins the next decade. For marketers and AI strategists this episode delivers three urgent takeaways: redesign learning and hiring to reward AI‑resilient judgment and prompt skill; make data quality and feature‑level integrations your gating factors for scalable AI; and treat agents as auditable teammates with checkpoints, provenance, and failover plans. The central provocation: if school and white‑collar jobs are being re‑valued in real time, are you designing your products, teams, and marketing to survive a world where AI does the repetitive 80% — or to lead where human judgment still matters?