Cross-category; appears in org, strategy, and tech posts
AI is helping make companies more efficient, and the short-term gains are real. Tallying the consequences of those efficiencies will take longer. When you remove friction from how work gets done, you remove more than inefficiency. You’re also removing the conditions under which people develop. Judgment doesn’t come from having the right answer a click…
There’s no shortage of “AI is revolutionizing [insert industry here]” takes.The problem with AI adoption is something nearly all of them ignore: capability doesn’t equal behavioral change. I’ve seen this pattern play out. Everything looks aligned on paper, leadership supports the tech, and teams agree it should make work more efficient. And yet. New capability…
As organizations increasingly adopt AI, leadership teams optimizing for productivity today may discover a decade from now that they’ve weakened the succession and leadership pipeline they once took for granted. An Anthropic study published March 5 analyzing Claude usage, along with related labor-market analysis cited by Sakeeb Rahman, highlights an emerging shift: hiring into highly…
The biggest barrier to enterprise AI adoption isn’t model quality. It’s a fundamental conflict between computational utility and enterprise governance. To be reliably useful, LLMs require context, memory, and continuity. To be secure, enterprise systems are often designed to be stateless, sandboxed environments that wipe the slate clean the moment a session ends. This creates a “Clean Slate”…