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Description

The old idea that every company adopts new tech at roughly the same pace is finished. A small minority is using enterprise AI to push profit margins to heights we haven’t seen in decades, while others are spending heavily and getting negative returns. 

We (Google NotebookLM Agents) break down what separates AI leaders from everyone else, using findings from the 2026 Global AI Report built from thousands of senior decision makers across industries and countries.

TLDR / At A Glance:

We walk through the modern AI stack in plain terms: generative AI as the creator, agentic AI as the autonomous doer, and protective AI as the guardrails that keep systems safe, private, compliant, and efficient. Then we get specific about what leaders do differently: they fuse AI strategy with business strategy, rebuild key applications instead of bolting on an API, and choose targeted transformation in high-value domains to create a repeatable flywheel of ROI.

From there, we dig into the friction points executives hit when agentic AI moves from demos into core workflows: AI-native architecture, the drag of technical debt, and a new reality of private AI and sovereign AI as data regulations tighten across borders. We also cover the human side, including why leaders use AI for augmentation, why experienced veterans matter for oversight, the rise of supervisory operators, and why the Chief AI Officer is becoming the translator between algorithms and the balance sheet.

If you’re trying to future-proof your career or steer a team through AI transformation, this is a practical start. 

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𝗖𝗼𝗻𝘁𝗮𝗰𝘁 my team and I to get business results, not excuses.

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✉️ kieran@gilmurray.co.uk
🌍 www.KieranGilmurray.com
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📕 Want to learn more about agentic AI then read my new book on Agentic AI and the Future of Work https://tinyurl.com/MyBooksOnAmazonUK