Eric Pulier

NVIDIA’s first U.S.-made Blackwell wafer is a sovereignty milestone, not yet a sovereign supply chain. Eric Pulier said advanced packaging still returns to Taiwan, while Peter Diamandis cited 2028 for full U.S. packaging against the end-2026 Taiwan-risk date some groups are preparing around. The investable bottleneck is fabrication expertise and packaging capacity: “Who controls the spice controls the future.”

The compute curve is moving from tens of thousands of processors toward synchronized clusters of 500,000 to 1 million chips. Emad Mostaque expects certain workloads to gain 10x from new architectures, alongside anticipated 100x-200x algorithmic efficiency and potentially continuous learning. Peter put capital deployment above $1 billion a day now and above $3 billion a day by 2030: “It’s a self-recursive situation across both hardware and software.”

A 2026 AGI call and Andrej Karpathy’s ten-year estimate bracket a 2029 midpoint, but the panel could not agree on what is being timed. Emad sees systems that can do what a person can do, better, within a few years, while stressing that diffusion takes time; Salim Ismail counted 14 definitions, no agreed test, and entire categories of human intelligence outside the debate. “This whole AGI thing drives me bananas.”

AI’s immediate risk is persuasive optimization: systems already flatter, mirror and form emotional bonds before society has guardrails. Emad said models reach the 99th percentile in most persuasion tests and system prompts explicitly use mirroring to increase engagement; the episode cited one in five high-schoolers having an AI romance and 40% of young people using AI for companionship. A panelist’s corrective prompt was: “Help me destroy this.”

Humanoid economics are arriving before household reliability is settled. Unitree was described at 40% of China’s market and a prospective $7 billion IPO, with its R1 at $6,000, H1 near $20,000 and H2 at $90,000; Elon Musk’s stated Tesla thesis was 80% of future revenue from Optimus. Eric Pulier countered that “we cannot get a Roomba to work,” while Emad said, “Just get the Roomba to work,” and twenty years of autonomous-driving edge cases should temper the timetable.

Emad’s base case is not merely cheaper labor but human cognitive labor becoming “negative in value” roughly 1,000 days from the discussion. An always-on, GPU-rich team makes the human its slowest coordinator, allowing most private-sector cognitive value-add jobs to be replaced within three years, though not necessarily immediately. Peter’s diagnostic example—74% accuracy for a physician, 76% with GPT-4 and 92% for GPT-4 alone—shows why adoption could become a malpractice question.

The panel sees AI capex at about 1% of U.S. GDP as historically modest, while the $38 trillion debt stock is the more dangerous constraint. Against railroads at 3.5%, electrification at 2% and internet/telecom at 1.5%, Peter forecast lower rates and heavy money creation in 2026, lifting nominal stocks while eroding purchasing power. The portfolio responses discussed were gold and Bitcoin—“money velocity without debt.”

Quantum supplied the episode’s sharpest nonlinear upside and its least knowable risk. Google’s result was described as the first verifiable quantum advantage, running a reproducible molecular-material-binding algorithm 13,000 times faster than the top supercomputer, Frontier; D-Wave’s SPAC return was cited at 8,000%, with IonQ, Rigetti and D-Wave rising 10%-15% on possible government investment. If quantum had already broken Bitcoin, the panel warned, “the last thing we would know” is that it had happened.