Human Perspectives on AI
Practical AI insights for business leaders
The ideas, thoughts, and opinions expressed here are human generated. AI is used to make the writing more clear and concise.
The Redesign Gap: Why AI Is Making Your Teams Busier, Not Better
Work bled across time boundaries, because tasks that are easy to start get started at 9 pm. People ran more parallel threads, splitting attention across more work rather than finishing less of it.
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10 Things That Matter More Than the Newest AI Model
The newest release from any of the major providers will run circles around what your team can extract from it today. The bottleneck is not the engine. The bottleneck is everything around the engine: the problem you chose, the data you fed it, the context it never had, the rules it does not know, and the people you never trained to use it.
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The AI Confidence Gap at the Top (And What to Do About It)
leading an AI transformation that touches every function, every team, and every business process is a different job from the CIO. It requires a different lens.
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The Labs Just Admitted Something Important
Now the labs themselves are acknowledging what practitioners have been saying for a while: the technology is not the hard part. Implementation is.
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AI at the Pentagon
When you select an AI vendor, you are not just choosing a capability. You are inheriting that vendor's ethical commitments, and their ethical concessions.
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Jagged Intelligence
The 2026 Stanford AI Index Report surfaces a term that captures a dichotomy with AI: jagged intelligence. Understanding it will change how you think about what AI can and cannot do, and more importantly, what you should do about it.
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The Context Gap: Why AI Delivers at the Executive Level and Stalls on the Front Line
AI models are trained on publicly available, external information. That makes them well-suited for the work leaders do every day: strategy, competitive analysis, market research, board communications. But at the operational level, contributors depend on context that lives inside your organization
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Building the Roof Before You Have Poured the Foundation
Your organization has started implementing AI. Maybe you are running pilots. Maybe you have purchased seat licenses for a new platform. Maybe someone on the team is building a custom agent to automate a workflow.
Read more →A New Name. The Same Mission. A Sharper Focus on What Actually Matters in AI.
After years of helping organizations use data to make better decisions, I made a deliberate choice to focus entirely on what the market needs most right now: practical, responsible AI adoption that delivers real business results.
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I Am Now a Certified Kendall Partner
Last week, I was in Boston for The Kendall Project's first Partner Certification Training. I came away as a Certified Kendall Partner, and I want to share why this matters.
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