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Articles about AI investment from podcasts, articles and papers, with links to the original sources.
On Moonshots, the panel picked apart a rental index showing H100 prices rising 22% in a single month to $3.28 per GPU-hour. Dave called it a reversal of a lifetime of chip depreciation; Emad Mostaque explained why better models make the same old Hopper worth more; and the warning for companies was that the compute they assume will be there later is already sold out.
On Moonshots #288, a 4 a.m. chart about DeepSeek's new V4.1-Flash model sent the panel from cache statistics to the shopping list for an AI data center. DeepSeek says the model's lookup memory needs a quarter of the expensive high-bandwidth memory and an eighth of the SSD cache storage of its previous generation. The panel's argument was about what that does to a buildout in which, by one panelist's estimate, 40% of American capital spending goes to that one component.
Tesla opened an interest form for businesses that want to buy Cybercab fleets and build mobility hubs for its Robotaxi Network, without publishing prices, delivery dates or revenue-sharing terms. On Moonshots, Peter Diamandis said he had filled it out, and the panel turned the invitation into an argument about owning machines instead of working for wages.
On the Moonshots panel, Emad Mostaque presented what he calls a Champion: a locally owned intelligence utility, sold to residents at a symbolic $1 pre-money valuation before outside investors arrive, with 10% of the equity set aside in perpetuity for every child under 20. He borrows the structure from his account of how TSMC was capitalized, and argues that as the cost of intelligence falls, the money will sit in robots, deployment engineers and citizen agents. He calls it an idea, not an offering — and it leaves governance, dilution and distribution unsettled.
On Moonshots, the panel played a launch video for Redwood, an accelerator that Palo Alto startup Architect Labs says its AI designed end to end from a specification written by two architects. The company's paper reports two weeks to verified design and FPGA deployment, with a small language model running in a third week — while the headline 3.4-times efficiency figure comes from a projected Samsung 8-nanometer chip that has not been built. The panel, who disclosed they are investors and an advisor, argued the real story is a "designless" company and recursive self-improvement at the chip layer.
On The Diary of a CEO, David Friedberg argued that open-weight AI models will stop the industry's value from pooling in two or three labs, and wagered that someone with no money today will build a billion-dollar company on a model they downloaded. His case runs through the Netscape era, the fight in Washington over Chinese models, and a proposal that data centers generate their own power and sit in ordinary retirement accounts.
On Moonshots, Peter Diamandis reported back from meetings with SK hynix and Solidigm leadership with a claim that memory, not compute, now limits AI. The panel argued that a changed workload and a supplier industry scarred by past busts are pushing prices up faster than factories can respond — and that the fix may be new chip designs, including etching model weights into silicon, rather than simply paying more.
Uber is investing in Zipline and putting drone delivery into Uber Eats, with a target of one million deliveries a day by the end of 2029. On Moonshots with Peter Diamandis, the panel treated it as the clearest test yet of Uber's strategy of aggregating customers while other companies build and fly the machines — and of what happens if those suppliers decide to sell direct.
On Moonshots, the panel works through a report that Anthropic is designing its IPO to keep its founders in control. Untangling economic ownership, voting power and the Long-Term Benefit Trust's board-selection rights leads to a sharper disagreement: whether anyone outside a founding group can realistically hold the steering wheel of a frontier AI lab.
NVIDIA reported $96.2 billion in quarterly revenue and guided to $108 billion for the current quarter. On Moonshots with Peter Diamandis, the panel split over what the number proves: Dave Blundin sees a company nobody can avoid, Alex wants to know how much of the demand NVIDIA itself financed, and Salim Ismail would prefer slower growth that markets have time to correct.
On Moonshots EP #283, Peter Diamandis introduced a reported $6 billion NVIDIA arrangement with the coding startup Poolside as America's answer to Chinese open models. Emad Mostaque argued the real driver is selling more GPUs, while Alex and Dave disagreed about whether licensing-and-hiring deals exist to dodge antitrust review or simply to hire fast — and what happens to the half of Poolside that stays behind.
On The Diary of a CEO, critic Ed Zitron laid out a sequence he expects to start with OpenAI failing to raise its next round and end in ordinary retirement accounts. He traces the chain from a delayed stock-market listing to SoftBank's paper holdings, cloud growth forecasts and the concentrated US indexes — while Amazon's own filings and Andy Jassy's shareholder letter offer a different account of why the spending is happening.