Moonshots

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

AI’s binding constraint is grid interconnection, not generation economics: roughly 100 hours of annual load flexibility could unlock about 100GW of existing capacity, representing roughly $5T of data-center capex.Texas’s interruptible-load fast track and FERC’s broader push could catalyze near-term capacity, while solar-plus-batteries offer a roughly 12-month build path; winter seasonality, transmission bottlenecks, and uncertain further cost declines remain key risks.

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

Claude Design’s launch pushed Figma down 10% and Adobe about 2%, signaling that frontier labs can reprice SaaS by unhobbling capabilities already latent in base models.Defensibility is shifting toward proprietary data, customer ownership, regulation, physical-world integration, and distribution as code generation, private compute, and Hormuz-linked supply shocks reshape competitive advantage and capital allocation.

Peter Diamandis × Dave Blundin × Elon Musk

Musk forecasts AGI in 2026 and intelligence exceeding all humans combined by 2030, with capability improving roughly 10× per year, while electricity—not chips—constrains near-term deployment. xAI’s 1 GW buildout, China’s projected threefold US electricity output in 2026, and Colossus 2’s 1.5 GW target frame an immediate infrastructure race before possible labor and price deflation.

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.