The 2026 AI Strategy is the full ebook: why the AI return comes from changing how the work runs rather than buying more tools, the five pressure points where that change pays most, and the measurement discipline that holds the whole program to one number.
The Software Tax, the Capacity Ceiling, the Leaky Bucket, Flying Blind, and Moat Inversion. Each chapter carries cited evidence, a precedent from business history, and the play that answers it.
How every business creates, captures, delivers, and sustains value, and how to tell whether your improvements are outrunning the rate at which AI is eroding your category.
The scoreboard, the stage diagnostic, and the seven-dimension maturity self-score. One working session with your leadership team produces a one-page map of where you stand.
A seven-slide structure, the twelve questions your board will ask with answers they can fund, and the stop rule that makes the program safe to sign.
The five disciplines that separate the companies earning real returns from the rest, a phased sequence with evidence required at each gate, and the shortcut available when your first workflow matches a pre-built component.
A plain answer on what happens to your people. Serious treatment of the eight strongest objections. Full disclosure of the methodology and its limits.
I spent years in SaaS watching capable people work for their software instead of the business. I call it the software tax, and this guide is where the whole argument, the evidence, and the way out live in one place. The frameworks are mine. The delivery accountability is XSparks's, where I serve as Chief Client Outcomes Officer.
Four chapters are published open on this site, no signup required: The 2026 AI Paradox, the frameworks, The Software Tax, and The Maturity Path. If they prove useful, come back for the rest.
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