Most AI strategies are decoration. This book is demolition. Every company is a machine for converting information into decisions. For a hundred and fifty years, that machine has run on paid humans — clerks, analysts, managers, directors, layers of approval, status meetings, the monthly close. None of it was sacred. All of it was load-bearing under a particular cost structure. That cost structure is about to collapse. Agentic Hyperscaling is not another book about adopting AI. The literature on adoption is already enormous and almost entirely useless, because it assumes the thing being adopted is a tool and the firm doing the adopting is unchanged. Both assumptions are false. The tool is not a tool — it is a new substrate for cognition. And the firm doing the adopting is, on inspection, mostly a queue of human labour wrapped around an older and slower one. Change the substrate, and the wrapper has to be torn off and rebuilt. Drawing on Coase, Chandler, Forrester, and Carlota Perez — and on years inside enterprise software, performance marketing, and private-equity workflow design — Dr. Shayan Salehi makes a severe and practical case for what comes next: the disciplined transfer of repeatable, policy-governed work from human routing to machine execution, while preserving human responsibility where values, ambiguity, and accountability truly matter. Written in the register of Taleb, Thiel, and Perez — argumentative, historical, contrarian, and short on consolation. Each chapter closes with an original chart: not decoration, but argument compressed into a curve. The future does not belong to the company with the biggest payroll. It belongs to the company with the smallest gap between signal and action. Read this before your competitors do.
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