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Category Archive

Below you'll find a list of all posts that have been categorized as “Artificial Intelligence (AI)”

transition from cloud compute to AI data centers

What 1993 Tells Us About Where AI’s Next Decade Gets Built

Kathy Keating May 8, 2026 Artificial Intelligence (AI), The Execution Gap

In 1993, IBM cut 60,000 jobs. Wang collapsed. DEC ousted its founder. The talent released didn’t found Twitter. They went somewhere to retool, and the companies they chose defined the next era. The same pattern is playing out now, with 125,000 cut so far in 2026 and counting.

Abstract blue landscape with a jagged crack running from the foreground toward the horizon, forming a deep blue fissure and reflections in the water-like surface.

AI Strategy Alignment: The Decision Loop Gap Between CEOs and CTOs

Kathy Keating April 16, 2026 Artificial Intelligence (AI), Strategy, The Execution Gap

72% of CEOs now own their company’s AI decisions. But when the CEO hears “AI strategy” and means reimagine the work while the CTO hears it and means speed up the work, every downstream decision drifts, and the cost compounds quietly every quarter.

Intelligent Service Design | Boxes falling from truck

Service Design Is the Only Moat AI Can’t Replicate in a Weekend

Kathy Keating April 7, 2026 Artificial Intelligence (AI), Strategy, The Execution Gap

B2B software stocks have lost $2 trillion since January, and the story everyone’s telling about why is wrong. The real threat isn’t that AI is killing SaaS. It’s that product is no longer a moat, and most CEOs haven’t noticed what is.

Delivery slowdown

Why AI-Powered Engineering Teams Ship More Code But Deliver Less Software

Kathy Keating March 23, 2026 Artificial Intelligence (AI), The Execution Gap

Engineering throughput is up 59%. Main branch success rates are at a five-year low. More code is entering the pipeline. Less of it is reaching your customers. The gap between those two numbers is a decision architecture problem, and it’s costing you quarters, not days.

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