We’re getting faster with AI, but I’m not convinced we’re getting better. There is a huge difference between using AI to produce an answer and using AI to become more capable of solving the next problem. If the technology does the thinking for us, we might improve productivity today while creating a workforce that is less prepared for tomorrow. Dr. @neuraltheory and I got into this in Episode 3 of Now to Next: The Signal, and she challenged a few assumptions I think executives need to reconsider. We talked about automators, centaurs, and cyborgs, and why simply putting a human in the loop doesn't necessarily improve the outcome. We also talked about what happens to early-career development when AI starts doing the work people used to learn from. One of the most important questions Vivienne raised is where the next generation of talent comes from if we no longer need people to do the work that traditionally developed their expertise. That should concern every leader making decisions about workforce strategy, organizational design, and AI investment. I believe AI should expand human capability, but that doesn't happen automatically because we give everyone access to better tools. We have to deliberately design the work, the learning, and the leadership practices that make people better. Otherwise, we may be celebrating productivity while quietly weakening the very workforce we're counting on to create what's next. Full episode: https://youtu.be/XMDU3uhEel8