Andy Jassy × Ben Horowitz × Erik Torenberg

Amazon expects about $220 billion of 2026 CapEx, yet AWS capacity is sold out for 2026, largely for 2027, and partly for 2028; AWS AI has exceeded a $25 billion revenue run rate.Data centers require investment roughly two years before monetization, pressuring free cash flow; broader enterprise inference adoption also hinges on costs Jassy still calls an order of magnitude too high.

Dwarkesh Patel

Ranade says available tools may support 2X, not 10X, leading-edge wafer output, while an Intel speaker says AI demand is 40–50% above maximum capacity.With roughly 80% of fab costs fixed, utilization and yield matter; TSMC ships upwards of 3X Intel’s leading-edge wafers, and Ranade says Intel will invest more, though tool limits remain.

Harry Stebbings

Fund-scale return targets narrow venture: $50–100M seed valuations and $300–500K allocations can make an $18B winner immaterial.CoreWeave must fill capacity and fund buildout; Modal topped $1B run rate after raising $750M at $15.75B, amid unresolved inference competition.Town at $1B and Anduril at $90B highlight entry-price risk, with Anduril’s roughly 40x revenue demanding substantial execution.

Harry Stebbings

Pro rata rights emerge as economically valuable options, while Meta’s Muse Wonder signals a return to the model frontier despite unresolved usability questions.Meanwhile, rumored NVIDIA-Reflection and Jev’s $870 million Series A at a $7.5 billion valuation hinge on strategic control, hyper-accurate classification, and whether AI demand can absorb steep inference-price cuts.

Raghu Raghuram × Matt Garman

AWS is underwriting durable AI demand with $220 billion of 2026 capex while reserving scarce accelerators for startups as well as frontier labs.Positive-ROI production workloads and single-digit maximum customer concentration temper demand risk, while AWS plans to buy 2 million NVIDIA GPUs over the next couple of years.Agentic workloads may strengthen AWS’s architectural edge, but power, memory, chips and enterprise evaluation remain constraints to monitor.

庄明浩 × 严华

EDA虽规模较小，却是芯片设计不可绕开的平台，新思科技长期占据约40%-50%份额。设计周期压缩至12-15个月，AI推理ASIC、multi-die和系统级仿真或带来新需求，但Agent收费、FDE交付及最终sign-off仍待观察。

Jensen Huang × President Trump

Jensen Huang cites failed forecasts on radiology, AI-generated code and entry-level jobs to challenge doomsday narratives, while arguing that AI incidents so far call for root-cause engineering and independent evaluation rather than sweeping regulation.With 80% of AI-native companies receiving $400 billion in recent venture funding using open models, NVIDIA is building infrastructure bottlenecks as Jensen predicts China will reach advanced lithography by 2030, leaving commercialization, lab controls and data-center execution to monitor.

Harry Stebbings × Cliff Weitzman

Speechify’s owned-GPU strategy compares $35,000–50,000 annual H100 rental with roughly $30,000 to buy, potentially lowering compute costs.NVIDIA’s deal with Blackstone, BlackRock, Apollo and Goldman Sachs could create a liquid secondary market and price floor through buybacks up to 25% of GPU value.Weitzman calls missing B2B his biggest strategic mistake; Simba 3.2 costs $10 per million characters versus ElevenLabs’ $100, but execution against an “unstoppable” rival remains unresolved.

Rene Haas × Elad Gil × Sarah Guo

Arm moved from IP licensing into physical silicon with the Arm AGI CPU after Meta sought a general-purpose agentic CPU no one else could provide.AI reaches 80% to 90% of engineers, while Arm’s documentation and test benches may make proprietary IP more trainable; supply may remain constrained for 3 to 5 years, with data-center construction a possible next bottleneck.

Harry Stebbings

NVIDIA delivered a record $96.2B quarter and guided to 70% growth for the fiscal year ending January 2028, with end-user demand and share loss the key risks.The reported near-$12.9B Hugging Face deal, not finalized or confirmed, would reinforce open-source compute economics and NVIDIA’s push to win every segment.Agents are becoming software buyers, supporting the cases for Clay at $7B and Linear at $2.5B, while cyber exposure and reward hacking remain unresolved.