Week 18: AI Won't Make You a Better Leader. But It Will Expose a Bad One.
AI Won't Make You a Better Leader. But It Will Expose a Bad One.
There's a conversation happening in every leadership team right now. Some are having it out loud. Most are having it silently.
The conversation is about AI. About what it means for their organisation. About automation, efficiency, headcount. About which jobs survive and which don't. About competitive advantage, about falling behind, about the future of work.
I've been in these conversations. As a Master Black Belt with twenty years of experience driving operational improvement, I've spent my career at the intersection of technology, process, and people. I've deployed improvement programmes at Shell, Johnson Controls, KCA Deutag, and dozens of other organisations. I've watched every wave of technology hit operations teams and leadership structures.
And here's what I want to tell you about this one.
AI is not going to make you a better leader. It's going to strip away the things that have been hiding your inability to lead.
That's not an insult. That's a wake-up call.
For the last thirty years, a significant percentage of management has been about information. Collecting it. Aggregating it. Analysing it. Presenting it. A huge portion of what passes for "management" in most organisations is actually just data logistics.
Think about what a typical middle manager does in a given week. They pull reports. They compile dashboards. They consolidate updates from their teams into slides for their leaders. They aggregate data from multiple systems into a format that allows decisions to be made one or two levels above them.
This isn't leadership. This is information brokerage.
And it's been remarkably effective as a survival strategy. If you're the person who knows where the data lives, who can pull together the monthly operations review, who can build the slide deck that the VP needs for the board meeting — you have value. You have job security. You have a seat at the table. Not because you're leading, but because you're the conduit through which information flows.
AI eliminates the conduit.
When AI can pull the report, aggregate the data, build the dashboard, generate the slide deck, and do it faster, more accurately, and at a fraction of the cost — what's left?
What's left is leadership. Pure, undiluted, nowhere-to-hide leadership.
And that terrifies a lot of people who've built their careers on information asymmetry.
I first saw this pattern years ago, before AI, during a CI deployment at Shell.
We were implementing real-time performance dashboards on the shopfloor. Before the dashboards, supervisors were the information gatekeepers. They knew the numbers. They knew which lines were running well and which weren't. They decided what to escalate and what to bury. The operators didn't have access to the data — they had access to whatever the supervisor chose to share.
When we put the dashboards on the floor, everything changed.
Suddenly, everyone could see the numbers. Operators could see their own performance. Team leaders could see how their shift compared to others. The data was transparent, real-time, and unfiltered.
Some supervisors thrived. The ones who had been genuine leaders — who coached, who problem-solved, who went to the Gemba and helped teams work through issues — these people became more effective. The transparency gave them better tools. They used the data to have better conversations, to identify problems faster, to support their teams more precisely.
Other supervisors panicked. The ones whose entire value proposition was "I know things you don't" suddenly had nothing to offer. Without the information advantage, their lack of actual leadership capability was exposed. They couldn't coach. They couldn't facilitate problem-solving. They couldn't motivate. They'd never needed to, because controlling information had been enough.
Two supervisors. Same dashboards. Same data. One became a better leader. The other was exposed as someone who'd never been leading at all.
AI is about to do this at every level of the organisation. Not just to supervisors. To directors. To VPs. To C-suite executives. To anyone whose primary contribution has been collecting, filtering, and presenting information rather than actually making decisions, developing people, and driving change.
Let me be specific about what AI handles and what it doesn't.
AI handles data. It handles analysis. It handles pattern recognition. It handles reporting, dashboards, trend analysis, anomaly detection. It handles the compilation of information from multiple sources into coherent summaries. It handles routine decision support — the kind of decisions that follow established rules and criteria.
What AI does not handle — and I believe will not handle for a very long time — is judgment under uncertainty. The ability to look at ambiguous data and make a call that involves risk. The courage to say "we're stopping this project" when the data is inconclusive but your instinct, built from years of experience, tells you something is wrong. The capacity to walk into a room where people are afraid, and give them a reason to believe things can be better.
AI doesn't do courage. AI doesn't do conviction. AI doesn't mobilise people around a vision they can't yet see.
Those are leadership capabilities. And they're about to become the only capabilities that matter.
At Johnson Controls, I led CI across EMEA and Latin America. It was a complex environment — multiple business units, multiple geographies, different cultures, different maturity levels. The challenge was never data. We had plenty of data. The challenge was always the same: could the leaders make decisions, hold accountability, and drive change?
I worked with two regional directors who illustrate this perfectly.
The first was data-rich and leadership-poor. He could present beautifully. His monthly reviews were polished. His dashboards were immaculate. He knew every KPI, every trend, every variance. But when it came to actually intervening — stopping a failing project, reallocating resources, confronting a plant manager who was resisting change — he froze. He'd ask for more data. Commission another analysis. Schedule another review. The data was his shield, and he hid behind it expertly.
The second director was the opposite. Her data skills were average. Her slides were functional, not beautiful. But she made decisions. She went to the sites. She sat with teams and asked the hard questions. When a plant manager told her "we need more time," she asked "time for what, specifically?" and then held him to the answer. She didn't need perfect data to act. She needed enough data to have judgment, and then she acted.
When I think about what AI will do to these two careers, the answer is stark.
The first director — the information broker — is obsolete. Everything he did well, AI does better. The polished presentations, the dashboard mastery, the data aggregation — all automatable. And the thing he did badly — actually leading — is the thing that remains.
The second director is more valuable than ever. AI gives her better data, faster. It removes the noise so she can focus on the signal. It frees her time from report generation so she can spend it on the floor, with teams, making decisions. AI doesn't replace her. It amplifies her.
Here's the uncomfortable question this raises for most organisations.
How many of your managers are actually leaders, and how many are information brokers?
I've worked across more than forty organisations. My honest estimate — and I've never said this publicly because it sounds too provocative, but I've earned the right to be direct — my honest estimate is that forty to fifty percent of middle management in most large organisations is primarily engaged in information logistics, not leadership.
They attend meetings. They consolidate reports. They create slides. They forward emails with added context. They are the human middleware between data sources and decision-makers.
AI makes human middleware redundant.
This isn't a prediction. This is already happening. Every organisation I talk to is asking the same question: how do we restructure now that AI handles the information layer? The answer is painful but simple. You find out which of your managers can lead without the information crutch, and you invest in them. The rest need to fundamentally reinvent their contribution or they will be displaced.
I'm not celebrating this. Some of the information-broker managers are good people who ended up in roles that rewarded data handling over leadership. The system created them. The incentive structures promoted people who could present well, build good decks, and keep the information flowing upwards. Nobody told them the game was about to change.
But it has changed. And pretending otherwise is a disservice to them and to the organisations they serve.
The work now is developing the capabilities that AI can't replicate. Judgment. Courage. The ability to mobilise people. The ability to go to the Gemba, see a problem, and lead a team through solving it. The ability to have the difficult conversation that no algorithm will have for you. The ability to build trust — real trust, earned through consistency and presence — with people who are uncertain and afraid.
These are not new skills. They're the skills that great leaders have always had. The difference is that for decades, you could survive in a leadership role without them as long as you were good at managing information. That workaround is closing.
At KCA Deutag, I saw this at the operational level in drilling operations. The best tool pushers — the ones who ran the drill floor — were not the ones with the most data. They were the ones who could read a situation, make a call, and keep their crew safe and productive under pressure. Data informed them. It didn't define them.
The same principle applies at every level of an organisation. Data informs leaders. It doesn't make them. AI gives everyone the same data. The differentiator becomes what you do with it. And "what you do with it" is judgment, conviction, and the willingness to act when the answer isn't clear.
So here's what I'd tell every manager who's anxious about AI.
Don't learn prompt engineering. Learn to lead.
Learn to make decisions with incomplete information. Learn to coach. Learn to go to the floor and have a genuine conversation with someone doing the work. Learn to facilitate problem-solving instead of directing it. Learn to hold accountability without hiding behind a dashboard.
If your job disappears when AI generates the reports, it means your job was generating reports. And that was never leadership. That was logistics dressed up in a management title.
The good news? The demand for actual leadership has never been higher. Organisations that get through this transition will be the ones that identify, develop, and promote people who lead rather than aggregate.
The question is: which one are you?
If you're an operations leader or manager who wants to understand the five fundamental shifts that separate leaders from information brokers, download The 5 Shifts: Free Manager Preview at stormholt.org/products/the-5-shifts-free-manager-preview.
It's free. It takes twenty minutes. And it might help you figure out whether you're ready for what's coming — or whether you need to fundamentally change how you lead.
New to Stormholt? Start here — it locates your stage in minutes.
Building capability? Stage III — Skill — the tools, the courses, the simulations.