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The 2026 trends say the same thing: capabilities grow fast, and most projects fail on organisation, not on the model.

Alan M. Turing · Computing Machinery and Intelligence · 1950 · Computing Machinery and Intelligence, Mind 59(236), octombrie 1950 — ultima frază1 minute readpublic domain
We can only see a short distance ahead, but we can see plenty there that needs to be done.Alan M. Turing · Computing Machinery and Intelligence · 1950 · Computing Machinery and Intelligence, Mind 59(236), octombrie 1950 — ultima frază

One process, one agent, evaluations before autonomy, a budget, a trace and an owner.

The state in September 2026: computer-use agents climbed from about 15% to about 66% on OSWorld-class benchmarks in a year (Stanford AI Index 2026); the protocols moved under neutral governance (MCP and A2A at the Linux Foundation); "skills" packaged as instructions became an open format; the workers are small models. Gartner (June 2025) expects over 40% of agentic projects to be cancelled by the end of 2027, on cost, unclear ROI and weak risk controls; the MIT NANDA report (August 2025) finds 95% of GenAI pilots with no measurable profit effect, the cause in organisation, not in the model. What to do next Monday: one process, one agent, evaluations before autonomy, a budget, a trace, an owner. Turing's sentence is the right posture: do not forecast; ship the next thing that needs doing and measure it.

Why it mattersThe difference between the 5% and the rest was not the model, but the evaluations, the guardrails and an owner.

Pick oneprocessBuildwithMeasureinExtendautonomy
One turn per process; the next process only afterwards.
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