Entering the trillion-agent economy (ft. Rohit Krishnan)
From Azeem Azhar's Exponential View by Azeem Azhar
February 19, 2026 · 53 min · Episode 12
About this episode
Azeem Azhar and Rohit Krishnan discuss the current landscape of building with AI agents and the implications of a trillion-agent economy.
In this episode, I sit down with my friend Rohit Krishnan - writer of the Substack newsletter Strange Loop Canon - for a hands-on conversation about what it actually looks like to build with AI agents today. Between us we're burning through tens of billions of tokens a month - I hit nearly 100 million in a single day this week - and we share what we're each running on our own machines. We dig into the quirks and surprising power of tools like OpenClaw, Claude Code, and Cowork, debate why AI remains stubbornly bad at good writing, and zoom out to ask what a world of trillions of agents might actually look like — and what economic infrastructure it will need.
People in this episode
Guest: Rohit Krishnan
Topics covered
- AI agents
- technology
- economy
- writing
- tools
Keywords
- AI agents
- OpenClaw
- Claude Code
- Cowork
- economic infrastructure
Mentioned in this episode
Products: OpenClaw, Claude Code, Cowork
Books & works: Strange Loop Canon
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- What NVIDIA’s bet on OpenClaw means for the future of AI and your token budget · March 25, 2026 · 37 min
- Why I changed my mind about Apple and AI · March 18, 2026 · 21 min
- How to think well with AI: signals, quietness, and the argument engine · March 13, 2026 · 33 min
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