Paul Marshall contends AI is eroding traditional information advantages held by institutions, enabling retail investors to access comparable knowledge and thus increase their share of tradi…

AI commoditizes nowcasting (data assembly/earnings anticipation) but humans still excel at synthesizing fundamentals, technicals, and market ecology (leverage, risk-manager behavior, buyer/…

Paul Marshall argues AI represents an intelligence explosion comparable to the Cambrian biological revolution or steam engine, with token usage exploding and recursive self-improvement immi…

US semi-index and Korean market trade at 5-10 year and all-time low valuations respectively; shares have only risen in line with earnings, suggesting the AI hardware cycle has further to ru…

Current market lacks three bubble ingredients: rates aren't low enough to fuel speculation, valuations aren't extended (semis at decade lows), and Korean ETF leverage has already corrected…

Paul Marshall identifies three conditions for a genuine AI bubble: sustained low interest rates encouraging speculation, significantly extended asset valuations, and unsustainable leverage…

Near-term AI capex drives chip and energy inflation; 6-24 months out, productivity gains will weaken entry-level labor markets, lowering rate pressure and creating a bullish macro backdrop…

Paul Marshall views physical AI (including robotics and humanoids) as an imminent second wave of AI innovation, citing strong alignment with Elon Musk's vision, current real-world deploymen…

Physical AI rollout (already visible in China) will be the next wave after LLMs; token consumption from robotics is unknown but expected to be huge, extending the AI infrastructure supercyc…

EU bureaucratic regulation stifles innovation; UK chose net-zero (highest power costs) and half-measures on AI/blockchain instead of US-style freedom, missing growth opportunities in biotec…