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You don’t need to reinvent yourself—or have a midlife crisis—to learn how to use AI. Yet, that’s exactly how many intuitive, creative, and experienced leaders feel when they first try using AI tools like ChatGPT. Why? Because they’re being taught the wrong way. Right now,

AI has dramatically evolved, becoming increasingly intuitive, conversational, and accessible to anyone capable of everyday communication. Yet the dominant approach for interacting with AI models—prompt engineering—still carries a legacy bias, shaped by technical mindsets and methods originally designed by and for engineers. This bias has created a hidden

We live in a time of miracles disguised as user interfaces. AI—particularly tools like ChatGPT—has given humanity access to something bordering on the divine: a real-time, interactive, collaborative intelligence that contains echoes of every domain of human knowledge. You can speak to it. You can think with it.

What Kind of Future Are We Building  AI is transforming the workplace — but is it doing so to amplify human potential, or eliminate their need altogether? In the rush to scale artificial intelligence, many organizations are prioritizing automation over augmentation. Adversely, “AI-first” is becoming synonymous with “human-last.” And while this

Four Dangers of Confusing Intelligence with Efficiency Over the past year, “AI-first” has become a strategic mantra for businesses, institutions, and platforms racing to keep pace with rapid technological change. But somewhere along the way, a dangerous shift has taken hold — one that quietly replaces intelligence with automation, and strategy

AI is becoming a foundational part of modern professional life. And yet for many professionals, the experience of trying to adopt AI feels frustrating, confusing, and alienating. This is because most AI tools were built with one kind of user in mind: engineers. This deeply embedded engineering bias is silently

Understanding displacement, funding paradoxes, and the future of meaningful work The AI conversation is stuck in the wrong place. Most headlines either fuel panic, “AI is coming for your job!” Or blind optimism, “AI will make everything easier!”. Neither perspective gives professionals what they actually need: clarity and reassurance. Yes,