Salim Ismail

Peter Diamandis × Cathie Wood × Salim Ismail × Dave Blundin × Dr. Alexander Wissner-Gross

Cathie Wood argues that robotics, energy storage, AI, blockchain, and multi-omic sequencing could lift real global GDP growth above 7% as falling costs unlock explosive unit demand and convert household labor into measured commerce.The thesis concentrates capital around power, open-source AI, robotaxis, and convergent platforms, with $10 trillion of global power investment and Tesla’s potential $0.20-per-mile rides as catalysts, while China’s open-source lead and legacy infrastructure remain key uncertainties.

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

AI, robotics, and space infrastructure are accelerating together, with Claude Opus 4.5 extending autonomous work, robotaxis approaching mass deployment, and factories potentially producing robots that help build their successors.The commercial upside spans autonomous vehicles, humanoids, orbital compute, and Starship economics, but capability and safety efforts remain intertwined, while persuasion, cybersecurity, mental health, regulation, and uncertain growth metrics create unresolved risks.

Peter Diamandis × Jack Hidary × Salim Ismail × Dave Blundin

AI infrastructure is entering a temporary energy bottleneck, with gas-turbine lead times around 4.5 years before SMRs, solar, and new factories may expand supply within seven to nine years.Cheaper power could relocate data centers toward Saudi energy resources and reprice desalination, healthcare, transport, and oil-dependent economies, while humanoid factories and quantum security remain key catalysts.

Peter Diamandis × Salim Ismail × Emad Mostaque × Eric Pulier

NVIDIA’s first U.S.-made Blackwell wafer marks a sovereignty milestone, but advanced packaging still returns to Taiwan, leaving fabrication expertise and capacity as the critical supply-chain bottleneck through the 2028 timeline.The panel’s 2026-to-2029 AGI window, 500,000-to-1-million-chip clusters, and humanoid price points signal accelerating capital intensity, while persuasion risks, unsettled household reliability, debt, and quantum’s nonlinear security implications remain key uncertainties.

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

GPT-5 Pro’s 13% result on FrontierMath Tier 4 crossed Peter Diamandis’s 10% threshold for declaring that “math has been solved,” positioning mathematical capability as a canary for science, engineering, medicine, and encryption.AI-designed chips, falling inference costs, rapid multimodal adoption, and forecast systems suggest compounding capability is already deployed, but electricity, manufacturing, regulation, and physical-world edge cases remain the constraints to monitor.