Why Most AI Leadership Advice is Wrong
By Dr. Bea Dukes
Most of what gets called AI leadership today is not leadership. It is software training with a leadership label glued on the front.
I have spent twenty-three years in uniform and several years in federal service, finishing my Army career as a Lieutenant Colonel. I have trained thousands of Army warfighters, civilian acquisition professionals and coached leaders at all levels. I have sat in rooms where billion-dollar decisions get made and watched what separates the leaders who command those rooms from the ones who occupy them. I finished by PhD program by successfully defending a quantitative dissertation that explored the relationship between leadership and workforce agility. None of those skills are a direct result of learning how to operate a piece of software. That is the starting point for everything I write here.
AI-ready leadership is not a tool problem. It is a stance problem. And the advice flooding leaders' inboxes right now solves the wrong one. I enjoy reading, and if you open any AI leadership article published during the last year, most will teach leaders the same things:
How to write better prompts
Which platforms to evaluate
How to embrace AI before competitors do
Which tasks to automate and which to keep
How to upskill the workforce on tool use
Every item on that list is a use question; however, none speak to leadership readiness or workforce readiness. Not one of them is a leadership question. The broad-brush mistake is treating AI as a productivity tool that leaders need to learn, when AI is actually an organizational force multiplier that leaders need to direct. Productivity tools change what an individual can do within an hour. Organizational leadership determines the team composition, assigns work projects to the team(s), sets the work cadence and leads the organization to successful mission outcomes. While safe, responsible and ethical AI use can influence leadership and organizational productivity, confusing the need to facilitate workforce readiness versus superior AI acumen produces leaders who are fluent with the software and lost on the strategy.
I see this confusion every week. A senior leader will tell me, that their organization has rolled out an AI platform to every single employee. With every bone in my body, I struggle to hide the grimace of risk and pain, then I ask simple questions. Who decides which decisions AI is allowed to influence, and who is accountable when it does? Silence. They bought licenses, but they did not lead the machine.
That bring us to the critical intersection where AI use and AI-ready leadership meet face to face. AI use is a skill. It can be trained, certified, and tested. A junior employee can become more skilled at it than the CEO and often that is a true scenario.
AI-ready leadership is a condition; using my words from back home, it’s a particular kind of way we do things. It cannot be certified. It shows up in the decisions a leader makes about where AI gets tested in a psychologically safe space. Where does AI sit in the workflow, what standards govern it’s output, what is the team’s readiness in reviewing and validating the products, how are policy-based requirements or institutional mandates preserved, where does human judgement cast the final vote, and regardless of how capable the model becomes, what will the organization not delegate based on the right reason! This is AI-Ready leadership!
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Dr. Bea Dukes is an organizational development expert, AI strategist, and federal acquisition workforce senior leader. She writes at AI-ReadyX.com about leadership in the human-agent era.