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I write for the people who actually have to lead this — executives and transformation leaders rebuilding their companies while the ground moves. No hype, no tool-roundups. What’s really happening, and what to do about it, from someone building AI-native systems, not just theorizing about them.
There are a few years of essays here. You don’t need all of them. Read these six, in this order, and you’ll have the whole picture — the shift, why most efforts fail, what it feels like, what’s really at stake, how to actually build, and what to do Monday.
1. The Dissolution — what’s happening, right now, at the industry level.
Between April and May 2026, SAP and Salesforce answered the same question three different ways. Read this to understand the one question on every enterprise board’s agenda for the next eighteen months: who owns the agentic work surface — the independent AI operating system, or the incumbent system of record?
2. Electrify the Factory, Don’t Just Swap the Engine — why 95% of AI efforts “fail.”
They don’t fail because AI doesn’t work. They fail the way factories failed when they dropped an electric motor into a steam-era layout and wondered why nothing changed. You’re retrofitting. Your competitors are rebuilding.
3. I Set Up an AI Agent for My Father Last Weekend — this is already happening in your building.
My father went from “what is an agent?” to running his smart home without writing a line of code. The technical barrier didn’t shrink — it moved. It became a communication barrier. That shift is happening across your organization right now; your people just aren’t calling it an agent yet.
I Set Up an AI Agent for My Father Last Weekend
My father has a garden and a smart home. Sensors, irrigation controllers, AC units, lights, water meters. He's gone deep on this stuff over the years, and he had a growing list of complaints that none of his apps could quite handle.
4. The Ladder Is Gone — the deeper stakes, if you want them.
Every economic model since Adam Smith assumes humans enter the economy through the bottom rung. AI arrives already capable — no apprenticeship, no bottom rungs. Your hiring model is built on a structure that’s quietly disappearing.
5. Operating Model to Operating System — how to actually build native.
What an agentic-native company is really made of: agent-first process, an actionable data fabric, policy-as-code, observability, risk plumbing. Not a center of excellence. A redesign.
Operating Model → Operating System: How to Build an Agentic‑Native Company
Created on 2025-08-28 17:32
6. The Two-Hour Rule — something to do on Monday.
Give every employee two hours a week to work real problems with AI. Unmeasured, uninterrupted. Two thousand hours a week across a thousand people compounds into things no innovation program will buy you.
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The Dissolution — the full book on the AI-native enterprise — as a single read. Subscribe and I’ll send it to you:
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Free. One essay a week after that.
— Saleh Hamed