Episode

Durable Execution and the Infrastructure Powering AI Agents

Podcast
AI + a16z
Published
Feb 19, 2026
Duration seconds
3826
Processing state
not_requested
Canonical source
https://ai-a16z.simplecast.com/episodes/durable-execution-and-the-infrastructure-powering-ai-agents-edrnjoca-sPuB7Zdw
Audio
https://mgln.ai/e/1344/afp-848985-injected.calisto.simplecastaudio.com/112866f3-1a50-4a8d-b12e-850b73e71b33/episodes/246f01f7-e84a-4731-bdcb-f716706157fd/audio/128/default.mp3?aid=rss_feed&awCollectionId=112866f3-1a50-4a8d-b12e-850b73e71b33&awEpisodeId=246f01f7-e84a-4731-bdcb-f716706157fd&feed=Hb_IuXOo
JSON
/v1/public/podcasts/ai-a16z-6874937/episodes/durable-execution-and-the-infrastructure-powering-ai-agents
Markdown
/podcast/ai-a16z-6874937/durable-execution-and-the-infrastructure-powering-ai-agents.md

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Summary

Raghu Raghuram, Managing Partner at a16z, and Sarah Wang, General Partner at a16z, speak with Samar Abbas, CEO of Temporal, about how durable execution became the infrastructure layer behind some of the world’s most widely used AI agents. They cover why long-running agents require state management and recoverability, how Temporal powers OpenAI’s Codex and Snap’s Story processing, and why the shift from interactive to background agents is creating distributed systems challenges at a scale that didn’t exist two years ago.