Five Practical AI Habits for Executives’ Own Work
A personal-use cheat sheet for executives: five observations that may help make AI more useful in their own work, from voice prompts to a chat-ready desktop.
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Notes on putting AI to work.
Evidence-led articles on AI adoption for leaders — what the data says, and what to do about it.
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What the Workplace AI Adoption Studies Actually Show
Gallup's 2026 workplace research and Microsoft's Work Trend Index point the same direction: access to AI stopped being the problem. Manager support and workflow integration are. Here is what leaders should take from the data.
Read the article →Digital Transformation Canada: Why I'm In Favour
A personal, insider take on the September 3, 2026 launch of Digital Transformation Canada: why the consolidation of Shared Services Canada, the Canadian Digital Service, and federal digital functions is the right call, and what it means for Canadian AI. Sean Kibbee, who spent two decades doing organizational IT innovation in the Government of Canada, explains why he supports it.
Read the article →The AI Proof Gap: Most Organizations Can't Defend Their AI — and It's Starting to Cost Them
78% of executives say they lack strong confidence they could pass an independent AI governance audit within 90 days. Organizations that close that proof gap are nearly four times more likely to report AI-driven revenue growth. Here's what the data says, and what leaders should do about it.
Read the article →Everyone's Using AI at Work. Almost No One Was Trained for It.
Nine in ten employees now use AI at work, yet only one in six feels fully prepared and a third have had no training at all. The 2026 data points to a capability problem that belongs to leadership, and a practical playbook for fixing it.
Read the article →AI adoption is now a work-design problem
Canadian organizations are adopting AI quickly, but adoption becomes valuable only when leaders redesign workflows, build capability, and measure what changes.
Read the article →The AI Adoption Gap Isn't Technical — It's Leadership. Here's What the Data Says.
Three-quarters of organizations have AI access but haven't gotten value yet. The pattern in the data points to one thing: adoption is a leadership discipline, not a technology project.
Read the article →The AI Market Is Becoming an Engineering Discipline, Not a Model Popularity Contest
The more useful question than "which model is best" is "which model is best for this task, at this price, with this reliability," and that is an engineering question.
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