The AI paradox: More automation, more humans, more work | Dan Shipper

2026-05-17 · Source: Lenny's Newsletter · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Intermediate, extended

Summary

Dan Shipper, CEO and founder of Every, predicts a significant shift in how work will be done, emphasizing an "AI paradox" where increased automation leads to more human work. He foresees work bifurcating into two main modes: delegating tasks to company-wide "super agents" (often in Slack) and performing daily tasks within AI-powered "work surfaces" like Codex or Claude Co-Work, which will integrate in-app browsers for SaaS tools. Shipper is contrarian and bullish on SaaS, believing AI agents will increase SaaS usage rather than replace it. He also argues that the "AI job apocalypse" is not a reality, as models commoditize past human competence, creating new demand for humans to innovate and manage AI systems. Every, his AI-forward company, doubled its staff in the past year, underscoring the need for human oversight.

Key takeaway

For product managers, designers, and engineers navigating AI's impact, embrace AI-powered work surfaces like Codex or Co-Work as your primary environment. Focus on building products that facilitate seamless human-agent collaboration, recognizing that agents will increase SaaS usage. Continuously experiment with new models to extend your capabilities, as human oversight remains critical for effective automation and for creating novel, non-commoditized work.

Key insights

AI paradox: automation increases human work, shifting tasks to agents and integrated work surfaces.

Principles

• Every AI agent needs a human to care for it.
• Models commoditize yesterday's human competence.
• Two agents collaborating are better than one.

Method

Work will bifurcate: delegating tasks to company-wide "super agents" (e.g., in Slack) and performing daily tasks within AI-powered "work surfaces" like Codex or Co-Work.

In practice

• Use Codex/Co-Work as your primary work surface.
• Design SaaS products for human-agent collaboration.
• Continuously experiment with new AI models.

Topics

• AI Workflows
• AI Agents
• Codex
• SaaS Strategy
• Product Management
• Design Roles

Best for: AI Product Manager, Product Designer, Software Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Lenny's Newsletter.