A former AI safety researcher says AI could kill us all. Steve Urban takes the risk seriously, then explains why the doom framing is the wrong way to lead.
Read MoreA former AI safety researcher says AI could kill us all. Steve Urban takes the risk seriously, then explains why the doom framing is the wrong way to lead.
Read MoreOnly about 14 percent of CFOs report measurable AI ROI. The tools made first drafts free. The verification work they created never got assigned to anyone.
Read MoreEveryone is chasing the new thing while service businesses quietly compound. Why unglamorous companies hold up, and where AI actually belongs in one.
Read MoreAI is flattening org charts, and a lot of the coordination work being cut genuinely should go. But the middle was also the training ground. If you delete the rung, you do not delete the need for the skill.
Read MoreAI is an amplifier, and amplifiers are honest. Most stalled AI programs fail on ownership, not technology. Why access is not adoption, why every workflow needs one name on it, and the sequence I use before automating anything.
Read MoreAfter 400+ podcast interviews and 30 years in executive search, here are the three tells that separate real leaders from people who just interview well.
Read MoreMcKinsey found 88% of companies use AI, but only 39% see real impact. Here's what actually separates AI that works from AI that just looks good on a slide.
Read MoreMost companies think they have an AI strategy because the CEO said AI is a priority. That is not a strategy. Here is what real AI ownership looks like and why it matters who is sitting in the seat.
Read MoreWhen everyone has access to AI, creativity, relationships, and consistent execution matter more. Here is where I believe the real advantage comes from.
Read MoreAI is making knowledge cheaper by the day. Information is everywhere. But story is different. Story is where judgment, emotion, and lived experience still matter. That is about to become a lot more valuable.
Read MoreMost people pick one AI tool and go all in. That feels efficient, but it creates risk and limits performance. The better approach is staying flexible, learning multiple platforms, and matching the tool to the task.
Read MoreMost companies are not failing at AI because they picked the wrong tool. They are failing because they skipped the hard part. The tool is 20 percent of the work. The other 80 percent is people, process, and leadership.
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