Episode Details

Why 2026 is genuinely a terrible year to buy a computer—and why a four-year-old used graphics card is actually the smart move. This episode dives into the AI-driven memory shortage that shattered consumer GPU pricing, explains why price-per-gigabyte is the metric that actually matters, and tackles the critical question five research passes still haven't answered. 00:00 - Intro & The Turning Point Episode 02:45 - The Broken Market: AI Data Centers & Memory Shortage 05:30 - Graphics Card Pricing Collapse Explained 08:00 - Price Per Gigabyte: The Real Shopping Metric 11:15 - The 16GB Ceiling Problem & Used Hardware Economics 15:00 - RTX 3090 Pricing: Why Old GPUs Make Sense Now 17:30 - The Unanswered Question --- Sources & further reading: • ComputerBuild repo — docs/build-recommendation.md, section 1 (market pricing, the leak-chain hedge, tracker independence caveat) • ComputerBuild repo — docs/build-recommendation.md, section 4 (buying a used 3090; sold-comp pricing; the $995–1,504 spread) • ComputerBuild repo — decisions/decision-log.md, P1 and P11 (used-card validation unanswered after five passes; the ceiling now consumed) • ComputerBuild repo — decisions/decision-log.md, D2 (used 3090 decision, accepted risks, reversal condition) • ComputerBuild repo — docs/build-recommendation.md, chassis and rack section (rack pricing gap) This podcast episode was fully generated by AI — research, script, voices, and production. Built with Claude, Piper TTS, and automated pipeline tooling.