This idea is famously attributed to Pablo Picasso: “Every child is an artist. The problem is how to remain an artist once we grow up.” It’s a simple statement — […]
As AI rapidly improves at generating answers, optimizing processes, and predicting outcomes, one human capability is becoming more valuable—not less: Divergent thinking. Coined and studied extensively by J. P. Guilford,
In today’s AI-driven world, organizations are investing heavily in automation, analytics, and optimization. But one capability still determines who actually turns that investment into revenue: Divergent thinking. What Is Divergent
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
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
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 —
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
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