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PERSON DIRECTORY

Ben Horowitz

Ben Horowitz appears in 28 indexed conversations across The a16z Show, Moonshots, All-In. This directory brings every appearance, source, TL;DR, digest, and transcript into one searchable feed.

28 EPISODES4 SHOWS
4 episodes2 active
Language
The a16z ShowEN · 61 min

Amazon CEO: $220 Billion Still Can’t Meet AI Demand

Andy JassyBen HorowitzErik 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.

All-InEN · 94 min

CoreWeave Crash, AI Trade Cracks, Anthropic IPO Red Flags, Bill Gates Doomer

Ben Horowitz

CoreWeave’s 953-basis-point CDS implies 16% annual default risk; fixed-price contracts and $35 billion more to raise leave Chamath’s team estimating a $5 billion break-even gap.Sacks sees demand holding, but financing costs remain a risk; Chamath urges Anthropic to raise at least $200 billion for compute, with SemiAnalysis estimating it and OpenAI will take 60% of next year’s global additions.

The a16z ShowEN · 54 min

How AI Is Reinventing Computing from Chips to Power

Ben HorowitzMartin CasadoRaghu RaghuramErik Torenberg

a16z’s new AI infrastructure fund captures a founder migration into hardware, with top-founder hardware pitches rising from roughly 3–5% to “north of 20% or 30%.”Hyperscaler capex, booked-out GPUs and resale premiums support opportunities across chips, power and cooling, while grid shortages, regulation and uncontrolled agent spending remain constraints.

MoonshotsEN · 112 min

Ben Horowitz: xAI Executive Exodus, Apple's AI Crisis, The Pace of AI | EP #232

Peter DiamandisBen HorowitzSalim IsmailDave BlundinDr. Alexander Wissner-Gross

Recursive self-improvement is already operating as frontier models propose experiments, optimize inference loops, and develop successor models, even with humans still pressing approval buttons.AI economics favor capital-intensive platforms and rapid distribution, while Apple’s local-agent hardware opening and the unresolved xAI departures make infrastructure, talent controls, and adoption timing key variables to monitor.