The first quarter of 2026 confirms something critical: AI development is accelerating faster than its economic value realization. But the gap is starting to close. The Big Picture (2024 →
There’s a quiet lesson in nature that often gets overlooked: Every year, trees lose everything they worked to grow. Their leaves fall.Their branches look bare.They stand through cold, harsh winters
Most enterprise technologies follow a familiar path: Leadership approves → IT deploys → employees adopt. AI broke that pattern. The evidence suggests AI’s growth has been bottom-up, not top-down.Employees and
Prompt engineering has emerged as a practical craft alongside the rise of generative AI systems. People are discovering that how you phrase a prompt affects not just the content but
There is a classic management principle called Parkinson’s Law, coined by historian C. Northcote Parkinson in 1955: “Work expands so as to fill the time available for its completion.” In
AI is getting better every day. Cleaner outputs.Sharper predictions.Faster decisions.Lower error rates. We are entering a world where systems are optimized, polished, and automated to near perfection. And yet —
AI’s breakout hasn’t followed the usual “institution buys → employees use” enterprise pattern. The strongest evidence suggests it has been consumer-, user-, and employee-led first, with institutions and employers largely
Executive coaching now has a deeper mandate: Help leaders let go of the illusion of perfection. In Japanese philosophy, Wabi-Sabi is the appreciation of beauty that is imperfect, temporary, and
AI’s breakout hasn’t followed the usual “institution buys → employees use” enterprise pattern. The strongest evidence suggests it has been consumer-, user-, and employee-led first, with institutions and employers largely
This is not financial advice. In just a few months, OpenAI has quietly signed over $1.15 trillion worth of chip, cloud, and data-center commitments. Nvidia. AMD. Broadcom. Microsoft. Oracle. Amazon.
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