GM just laid off roughly 600 salaried IT workers, more than 10 percent of its IT department, and is replacing them with AI-native engineers. People who build AI systems, not just people who use them. The coverage reads like modernization. I want to push back on that framing. Not because the move is wrong. Because…
Read MoreElite performance in engineering organizations isn’t about finding rock stars — it’s about building the systems that produce them. In this episode, Mike Schubert breaks down two Harvard Business Review research pieces that share a single underlying thesis: team performance is a design problem, not a talent problem. From the three levers that produce organizational…
Read MoreMost AI adoption failures I see aren’t technical. They’re change management failures wearing a technology costume. This question is playing out every day in every organization – and the lack of answers is spilling over into Reddit and engineering forums pleading for help. This thread in r/EngineeringManagers is a perfect example: experienced engineering managers asking…
Read MoreWhat does it mean to lead through uncertainty when the technology underneath you is moving faster than your governance, your metrics, and your comfort level? Mike Schubert digs into four things: Harvard research on why sharing uncertainty builds trust; Microsoft Agent 365 and the shadow agent problem; IBM Bob 1.0 for the COBOL/RPG world; and…
Read MoreMost tech podcasts talk about technology. This one talks about what actually makes or breaks a technology leader: people, change, and the gap between what organizations want and what they can absorb. In this opening episode, Mike lays out his case — who he is, what this show is, and why the conversation he wanted…
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