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.

Patrick O'Shaughnessy × Neil Movva

Sola Research is repositioning inference around long-running background agents, forecasting workloads shift from 50/50 background and real-time by year-end to 90/10 long term as cheaper tokens unlock unbounded demand.By trading latency for throughput, using overlooked chips and 1MW sites with 95% uptime, Movva targets radically lower costs, while KV-cache waste, idle GPUs, HBM supply, and the durability of frontier labs’ three-to-six-month premium remain key watchpoints.

Peter Diamandis × Salim Ismail × Dave Blundin × Alexander Wissner-Gross × Emad Mostaque

OpenAI’s RL pause drew safety-versus-marketing disagreement, while recursive self-improvement may command more revenue per token than enterprise codegen, keeping frontier models internal.Memory prices rose 500% in 12 months as AI demand grows 200% versus 20% supply; Unitree hit 12.66 m/s and Zipline targets over 1 million daily deliveries, while etched-weight supply chains, regulation and Uber’s aggregator position remain risks.

Patrick O'Shaughnessy × Ben Thompson

AI’s near-term bottleneck may be capital rather than compute or power, as funding shifts from free cash flow and debt toward Google equity and NVIDIA’s $500 billion vehicle.Thompson’s Berkshire analogy makes Search a possible funding engine for AI’s “basically all white-collar work” TAM, while payback periods, hyperscaler chips, and an air-gap risk remain watchpoints as 2028-29 capacity arrives.

Patrick O'Shaughnessy × Eric Vishria

AI is likely to produce an oligopoly plus $100B specialists, not a single winner-take-all lab, while Fireworks shows inference’s hidden moat: roughly 5X speed and multiple-X throughput on the same models and NVIDIA hardware.SaaS incumbents now face “Get to AI or be worth three times revenue,” as migration becomes easier and cost, iteration speed, and transportability matter more, with energy—especially China’s roughly tenfold buildout next year—the key constraint.

Peter Diamandis × Salim Ismail × Dave Blundin × Alexander Wissner-Gross × Emad Mostaque

SpaceX guided to $100B+ annual recurring revenue by December and moved its $1T target to 2030, with “a nonzero chance” of 2029.Terafab’s initial $16.8B investment and confirmed free-electron laser could onshore the semiconductor stack and challenge ASML.Astra’s 249-page math manuscript, produced for an estimated $2,000 compute, sharpens the capability-cost race.

Crystal × Max Kan × Joey Brookhart × Jordan Nanos

Anthropic’s enterprise/API mix is producing operating leverage: over 80% of ARR is API-based, Q2 operating profit was positive, and Q3 could exceed $1 billion.OpenAI’s free-user base weighs on margins, but 5.5 and 5.6 have reportedly restored a two-horse race, while subsidized coding plans and RL environments leave unit economics and capability scaling unresolved.