Why Agents Still Need Humans
About this episode
NLW discusses the evolving relationship between humans and agents in the context of automation and expert work.
NLW explores the next wave of human-agent collaboration, using Dan Shipper’s “After Automation” essay and Every’s agent experiments to argue that automation is creating more expert human work, not less. The episode looks at shared team agents, the “human sandwich” model, the limits of fully autonomous OpenClaw-style agents, and why Codex and Claude Code point toward a more semi-synchronous future of managing agent work across devices. After Automation: https://every.to/p/after-automation Enterprise Claw Cohort 3 Registration: https://enterpriseclaw.ai/ Brought to you by: KPMG – Agentic AI is powering a potential $3 trillion productivity shift, and KPMG’s new paper, Agentic AI Untangled , gives leaders a clear framework to decide whether to build, buy, or borrow—download it at www.kpmg.us/Navigate Granola - The AI notepad for people in back-to-back meetings. 100% off your first 3 months with code AIDAILY at http://granola.ai/aidaily Scrunch - The AI customer…
People in this episode
Host: Nathaniel Whittemore
Topics covered
- human-agent collaboration
- automation
- expert human work
- semi-synchronous future
- agent work management
Keywords
- automation
- human collaboration
- agent work
- expertise
- productivity shift
Sponsors
KPMG, Granola, Scrunch, Mercury
Mentioned in this episode
Organizations: Every, Codex, Claude Code
More episodes of The AI Daily Brief: Artificial Intelligence News and Analysis
- The AI Token Shortage Begins [AI Monthly Recap]
- How to Use /Goal to Do More With AI
- Claude Opus 4.8 First Impressions
- The Case for an AI Token Tax
- The Annual AI Slowdown Panic is Here
- What the Pope Actually Said About AI
Explore listener stats, chart rankings, contacts and more on the The AI Daily Brief: Artificial Intelligence News and Analysis podcast page.