AI ethics, literacy, governance, and what the tools actually change about professional work. Skeptical where it counts, practical everywhere else.
Every conversation about AI risk focuses on what could go wrong. Almost none of it asks who benefits when it does. That question is the one that actually determines how the technology develops.
The AI conversation at work is mostly about productivity. The one nobody is having is about ethics, accountability, and professional identity.
Every major technology regulation arrives after the harm has already been distributed. This is a structural feature of innovation and accountability. Here is how to think about the gap and what it means for how you use AI tools.
Every organization is investing in AI literacy. Almost all of them are teaching the wrong thing. Every L&D budget in 2026 has a line item for AI literacy. Every university has introduced some version of an AI skills module. Every corporate training catalogue has a course on prompting, on responsible AI use, and on integrating…
Every organisation is investing in AI tools. Almost none of them are investing in the one skill that determines whether those tools produce anything worth reading.
Outsourcing your professional voice to AI is not a productivity strategy. It is a long-term credibility risk. Here is what the research says, and what smart communicators are doing instead.
The conversation about AI and work keeps getting stuck in the same two positions. Neither one is particularly useful if you are a professional trying to figure out what to actually do right now. Here is what the headlines consistently miss.