Leading in the Missing Middle: What Human + Machine Demands of Leaders
This week ran as a set: Part I named the human advantage, Part II the energy discipline, and Part III puts both inside one job description, drawing on Paul Daugherty and James Wilson’s Human + Machine (HBR Press, 2018).
For a century, “Who executes this task?” was a complete leadership question. It stopped being one when the answer became “a person and a machine, together.” Value now sits in what the authors call the missing middle, where AI amplifies human skill rather than replacing it wholesale. Leadership becomes hybrid-aware: less “who executes this” and more “how is this collaboration designed, skilled and governed?” Four practices, told through one plant’s quality problem: reimagine the process instead of automating the old flow (metric: yield and improved hours, not “model live”); build fusion skills via a 90-day reciprocal rotation; responsible normalizing with three explicit action zones and supervisors assessed on override quality; and relentless reimagining as a quarterly management system.
Across all four, the projects don’t change, what leadership pays attention to does. Leaders become system designers and judges of last resort; culture expects challenge of both human and machine decisions. Your action this week: take one process you’re about to “add AI” to and, before funding any tool, ask what it would look like redesigned around what humans and machines each do best. Full framework at renegrywnow.com.
Reflection questions
Before funding your next AI tool, have you redesigned the process, or are you automating the old flow?
Are your autonomy and override norms written explicitly by leadership, or inherited from vendor defaults?
Do you review process redesign and skills before tool status in leadership meetings, or after?
Keywords: Human + Machine, Daugherty Wilson, Missing Middle, MELDS, Fusion Skills, Responsible Normalizing, Human-Machine Collaboration, System Design, Leadership, Physical AI
Series: Energy Dominance · Week 36 · Part III
Previous: Part I: The Human Advantage · Part II: The Energy–AI Convergence.
