When turnover is low, leadership loves to call it stability. Jay Caldwell makes the more uncomfortable point: sometimes it is just fear with better optics. In this conversation, he and David unpack why “quiet staying” can become a serious organizational liability in an AI era—especially when people are still hitting goals, still showing up, and still slowly draining the place of experimentation, risk-taking, and fresh thinking.
They also get into the deeper workforce consequences of AI adoption: why broad rollouts often create anxiety instead of momentum, why the most AI-engaged employees may be the most likely to leave, and why cutting entry-level hiring might solve a short-term budget problem while quietly wrecking your future talent pipeline.
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