The Digital Transformation Playbook · 2026-06-01 · 24 min
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.
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