The Executive's AI Strategy Handbook : Capability, Control & Cost
Overview
AI isn't one decision. It's three.
Every executive now has an opinion on AI. Few have a framework for the decisions that actually matter: what kind of intelligence the work needs, under whose control, and at what price. Get any one of them wrong and it's no longer a technology mistake. It's a strategy mistake, a finance mistake, a legal mistake. In short, it's an executive mistake.
The Executive's AI Strategy Handbook gives leaders a practical way to make those decisions well. Its argument is simple: AI is a resource to be allocated, like capital and people. The goal is never to use the most AI or the most powerful model. It is to allocate the right intelligence to the right work.
The book is built around three strategic choices:
- Capability: What intelligence does this work really require? The most powerful model is not automatically the right one.
- Control: Can we depend on it on acceptable terms? In June 2026, two frontier AI models were suspended for every user after a government directive. Access to intelligence you rent is always conditional.
- Cost: Does the value justify what we consume to get it? Token prices are only the beginning. What matters is the cost of a successful business outcome.
It then shows how to put those choices to work: redesigning the operating model around human and machine intelligence, and managing AI as a portfolio of workloads that is continually reviewed, reallocated and, where necessary, retired.
You don't need to know how to build AI. You do need to know when an answer about it doesn't make sense. This book gives you that diagnostic literacy.
Inside you'll find:
- Executive tests for capability, control, cost, operating model and portfolio decisions
- Diagnostic questions tailored to the CEO, CFO, CIO/CTO, COO, Chief Risk Officer, CHRO and board
- An AI economics toolkit with five worked calculations
- A plain-English guide to AI model architectures, and a guide to evaluating whether an AI system can be trusted
- A workload review template and a quick-reference glossary
Written for executives, board members and senior leaders in organisations of any size, including SMEs that will never train a model of their own, whether they are starting their AI journey or well down the road. No technical background required.
AI will not determine the future of your organisation. The decisions you make about it will.
This item is Non-Returnable
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Details
- ISBN-13: 9798175921183
- ISBN-10: 9798175921183
- Publisher: Independently Published
- Publish Date: October 2026
- Dimensions: 9 x 6 x 0.53 inches
- Shipping Weight: 0.85 pounds
- Page Count: 204
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