Big Technology Podcast Are We Screwed If AI Works? — With Andrew Ross Sorkin
298 snips
Mar 18, 2026 
Andrew Ross Sorkin, CNBC anchor, New York Times columnist, and DealBook founder, dives into a big what-if: what happens if AI works too well? He explores labor shocks, white-collar automation, software disruption, hidden leverage, private credit dangers, prediction market mania, Fed independence, and why AI infrastructure spending could spark real financial stress.
AI Snips
Chapters
Books
Transcript
Episode notes
Managed Services With Tech Layer Survive AI Disruption
- Software companies that pair managed services with AI layers will likely survive longer than pure product plays.
- Sorkin cites a Sequoia partner: services-plus-technology firms are less likely to be replaced by model builders.
One Interface Will Coordinate Many Specialized Bots
- Users will likely interact through one primary interface that coordinates many specialized bots behind the scenes.
- Sorkin and Alex predict a single conversational interface that hands off tasks to specialty bots while preserving a seamless user profile.
Big AI Commitments Often Come With Tranches And Circular Deals
- Sorkin tracked AI revenue claims but urged skepticism about headline commitments tied to tranches and circular deals.
- He notes OpenAI and Anthropic run-rate figures but warns large data-center and tranche structures hide real exposure.
