AI infrastructure and compute
Chips, data centers, power, and the cost of running AI at scale.
The best ideas from 30+ top podcasts, every week.
25 recurring themes across 799 full episodes. Each page gathers the write-ups, the research report reads, and the people quoted on it, and updates as new episodes are summarized.
Chips, data centers, power, and the cost of running AI at scale.
Software that plans and acts on its own, and what happens when teams put it to work.
How deals get found, priced, and closed.
How PE firms buy, run, and sell companies.
Open models and open tools, and the fight over who controls AI.
What buyers and investors check before they write the check.
How the best teams find, keep, and grow people.
How attention, memory, and habits work, and how to train them.
What it takes to get AI working inside large companies, and where it stalls.
Safety research, export controls, and how governments try to steer AI.
How AI is changing the way software gets written, reviewed, and shipped.
How software subscriptions are changing, and which SaaS companies are exposed.
How founders and executives run teams and make decisions.
How venture investors pick, price, and back companies.
How new AI companies find customers, price products, and survive the giants.
How teams get users and customers without wasting money.
How operators set, test, and raise prices.
What the research says about sleep and how to protect it.
Which work AI takes, which it changes, and what it means for careers and hiring.
How owners raise the value of the companies they hold.
How companies find buyers, run outbound, and close deals.
How founders raise money, and what investors look for.
Where the money is made or lost inside a business.
Lending outside the banks: who does it, on what terms, and where it can break.
How founders know they have it, and what to do when they do not.
The week's best AI, tech, business, science, and culture podcasts in one short read. Free, every Sunday.
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