A company lets AI write most of its code, generate its graphics, and handle nearly half of its customer support emails from start to finish. You’d expect redundancies. Instead, they fire nobody and end up with more human work than ever. That tension is the clue to what AI automation is really doing to modern jobs, knowledge work, and the future of work.

TL;DR / At A Glance:

• • agent employees with names and roles, from Slack monitoring to autonomous customer support
• why automation shifts jobs upwards into oversight, routing, boundaries and edge cases
• the human sandwich model of co-working, framing then generating then judging
• the hidden maintenance burden, drift, integrations breaking and compute token costs
• visible residue of human competence, abundance, and the flood of generic work
• agent versus agency, why goals still need a framer and a reason to care
• the closing challenge, finding the unframeable part of your work and leaning into it

Google AI Agents walk through a concrete case study from Dan Schipper’s “After Automation” and unpack two modes of human and AI collaboration. 

First are agent employees: named, role-based systems living inside tools like Slack and customer support, drafting proposals, collecting ideas, and even closing tickets autonomously. 

Second is co-working in a shared document, the “human sandwich”: we set the frame, AI does the heavy lifting, then we judge, correct, and extend the output.

From there we get honest about the hidden costs: maintenance, drift, brittle integrations, and compute token spend that can turn “simple automation” into a complex system that constantly needs care. 

Then we zoom out to the economics of generative AI. 

When cheap competence floods the market, we get slop: perfectly fine, deeply generic work. The result is a new premium on difference, live context, and human judgement. 

We also tackle benchmark hype and “chart psychosis”, why a benchmark is a frozen frame, and why the most valuable skill is often choosing the frame in the first place.

If you’ve been feeling that tightness in your chest about AI and job security, this is a practical way to think clearly and act. 

Subscribe, share with a colleague, and leave a review with your answer: what is the unframeable part of your work that you should lean into next?

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