Topic

Data Centers

Artwork for The AI Revolution: Who Wins, Who Loses & the SaaSpocalypse  | The Real Eisman Playbook Ep 70
The Real Eisman Playbook

The AI Revolution: Who Wins, Who Loses & the SaaSpocalypse | The Real Eisman Playbook Ep 70

Steve Eisman hosts a debate on whether AI is still early-stage infrastructure spending or already heading into a valuation and ROI reckoning. Gil Luria and Dan Ives argue over winners and losers across chips, hyperscalers, software, and data centers, with Oracle, Google, Apple, Palantir, and Salesforce at the center.

Artwork for Nvidia's Jensen Huang defends Chinese AI amid Kimi panic
Axios YouTube

Nvidia's Jensen Huang defends Chinese AI amid Kimi panic

Jensen Huang argues that Chinese open AI models like DeepSeek and Kimi are strong and should be usable by American companies. He says the world needs both open and closed models, and that better models will drive more AI usage, infrastructure buildout, and demand for Nvidia hardware.

Artwork for Mark Cuban on the AI Bubble: Who Actually Gets Wiped Out?
All-InMark Cuban

Mark Cuban on the AI Bubble: Who Actually Gets Wiped Out?

Mark Cuban argues the AI boom is not a classic dot-com-style consumer bubble, but it could still wipe out overextended VCs, PE, and infrastructure investors. He says enterprise AI is far harder than expected, current models still fail at basic workflows, and the next big shift will likely come from world models, video, and AI-first teams rather than full job replacement.

Artwork for Jim Chanos: The Math Ain’t Mathing for the AI Data Center Build
RiskReversal PodJim Chanos

Jim Chanos: The Math Ain’t Mathing for the AI Data Center Build

Jim Chanos argues the AI/data-center boom is being financed with too much debt and equity against uncertain returns, while the market is rewarding narratives more than economics. He sees extreme stock dispersion, rising speculation, and a growing gap between long-duration assets and short-term spot pricing.

Artwork for OpenAI’s Compute Chief: We Can’t Build Fast Enough | Sachin Katti
The MAD Podcast with Matt TurckSachin Katti

OpenAI’s Compute Chief: We Can’t Build Fast Enough | Sachin Katti

Sachin Katti says OpenAI is racing to build compute faster than the physical world can supply power, chips, cooling, and labor. He frames AI data centers as giant liquid-cooled factories turning electrons into tokens, with custom silicon, new power infrastructure, and networking all becoming strategic bottlenecks.

Artwork for NY Governor Kathy Hochul on Her One Year Data Center Moratorium
Odd LotsKathy Hochul

NY Governor Kathy Hochul on Her One Year Data Center Moratorium

Governor Kathy Hochul says New York’s one-year data center moratorium is a temporary pause, not a ban, meant to force large projects to bring their own power or pay more for grid access. The conversation widens into New York’s broader fight over electricity, housing supply, nuclear buildout, AI-driven job disruption, and which kinds of economic development deserve scarce power capacity.

Artwork for We Need An Ecosystem in AI, And Every Company Can Win A Place In It
No PriorsSatya Nadella

We Need An Ecosystem in AI, And Every Company Can Win A Place In It

Satya Nadella argues Microsoft’s AI strategy is an ecosystem play built around models, tools, data, and eval loops rather than a single model. He also explains how agents, private evals, and new pricing and infrastructure patterns will reshape SaaS, engineering roles, and the social license for AI.