AI agents
Software that plans and acts on its own, and what happens when teams put it to work.
Themes
What the top podcasts keep coming back to.
24 recurring themes across 485 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.
24 themestracked
AI infrastructure and compute
Chips, data centers, power, and the cost of running AI at scale.
Mergers and acquisitions
How deals get found, priced, and closed.
Private equity
How PE firms buy, run, and sell companies.
Hiring and talent
How the best teams find, keep, and grow people.
Open-source AI
Open models and open tools, and the fight over who controls AI.
AI safety and regulation
Safety research, export controls, and how governments try to steer AI.
Enterprise AI
What it takes to get AI working inside large companies, and where it stalls.
Leadership and management
How founders and executives run teams and make decisions.
AI startups
How new AI companies find customers, price products, and survive the giants.
SaaS
How software subscriptions are changing, and which SaaS companies are exposed.
AI coding
How AI is changing the way software gets written, reviewed, and shipped.
Due diligence
What buyers and investors check before they write the check.
Venture capital
How venture investors pick, price, and back companies.
Growth and marketing
How teams get users and customers without wasting money.
Sleep and recovery
What the research says about sleep and how to protect it.
AI and jobs
Which work AI takes, which it changes, and what it means for careers and hiring.
Pricing
How operators set, test, and raise prices.
Go-to-market and sales
How companies find buyers, run outbound, and close deals.
Unit economics and margins
Where the money is made or lost inside a business.
Value creation
How owners raise the value of the companies they hold.
Fundraising
How founders raise money, and what investors look for.
Private credit
Lending outside the banks: who does it, on what terms, and where it can break.
Product-market fit
How founders know they have it, and what to do when they do not.