Everyone’s talking about the 10x engineer. Nobody’s talking about the 10x executive.
If you’re running a company right now, or sitting in the C-suite, or advising a board, you already feel it. Something shifted. The tools changed. The speed changed. But your operating model didn’t. And there’s this low-grade tension between what you know is possible and what you’re actually doing about it.
I know because I was stuck there too.
Eighteen months ago, I was advising two companies, and it consumed everything. Same meetings. Same bottlenecks. Same information loops. I was “using AI” the way most executives use AI: as a faster typewriter. I didn’t realize how stuck I was until I saw what was possible on the other side.
Today, I run strategy and ops for one company. I serve as operational advisor and board member for another. I’m building a third, 100% AI-native, from the ground up. Three companies. Three different roles. All at the same time — and I still have capacity to help others.
AI didn’t make me smarter. It compressed the time between “what’s the problem” and “here’s the decision-ready answer.” That compression changed what one executive can do in a day.
But here’s what I keep seeing: most executives haven’t even started. Not in mandating AI for their teams. In redesigning themselves.
This is going to be comprehensive. It’s not one of those articles you skim and forget. Save it. Come back to it. Because the window to figure this out is shorter than you think.
I. The Uncomfortable Truth
Every executive I talk to says the same thing: “We’re all-in on AI.”
Then I ask three questions.
- How has AI changed your personal decision-making process?
- What meeting or workflow have you eliminated because AI made it unnecessary?
- What can you do today that was literally impossible for you 18 months ago?
Silence. Or worse, they describe how their team uses Copilot.
This is the executive AI gap. The distance between what leaders say about AI and how they actually operate.
The 10x engineer gets talked about because it’s visible. An engineer ships code 10x faster. You can see the output. You can count the pull requests.
The 10x executive is harder to spot. It shows up in decision quality. In the number of contexts they can hold simultaneously. In the speed at which they move from confusion to clarity. These things are hard to measure. So we don’t talk about them.
The most important shift in business leadership is happening in silence.
That needs to change.
II. Why Executives Are Stuck
Here’s the pattern I keep seeing.
Executives mandate AI for everyone else because they don’t know where to start themselves.
It’s easier to issue a directive than to sit with the discomfort of being a beginner. You’ve spent 20 years building expertise, pattern recognition, judgment. Now there’s a tool that compresses all of that into seconds.
It doesn’t feel like empowerment. It feels like a threat to what made you valuable.
So you delegate the transformation to your team and call it strategy. That’s not leadership. That’s self-preservation dressed up in a memo.
You confuse AI usage with AI transformation.
You open ChatGPT, rewrite an email, summarize a doc before a board meeting, and tell yourself you’re “using AI every day.”
Pull up your calendar from last Tuesday. Count the meetings. Look at the decision log. Map the information flows. Everything looks identical to 2023. Same 10 meetings. Same decision bottlenecks. Same reporting chains.
Using AI as a slightly faster typewriter is not transformation. It’s decoration.
You’ve built your identity around being the person who knows.
This is the one nobody talks about. Executives get to the top because they’re the best pattern matchers in the room. They know the market. They know the org. They know the history. Their value is what they carry in their head.
AI threatens identity at its roots. If a machine can synthesize what took you 20 years to accumulate, what exactly are you bringing to the table?
The answer is judgment. But you can’t see that clearly when your ego is telling you the question itself is an insult.
Most executives aren’t stuck because of a skills gap. They’re stuck because of an identity gap.
III. The 5 Levels of the AI Executive
After working across multiple companies and watching dozens of leadership teams navigate this shift, I’ve identified five distinct levels.
Be honest about where you are. Not where you’d like to be.
Level 1: The Mandator
“My team should use AI.”
You’ve issued the directive. Maybe you bought enterprise licenses. You talk about AI in all-hands meetings. But you haven’t changed your own operating model. Your calendar, your decision process, your information diet: all unchanged.
The tell: you can name the AI tools your team uses, but you can’t describe your own AI workflow.
Most executives are here. They think they’re at Level 3.
Level 2: The Dabbler
You use AI for discrete, low-stakes tasks. Email drafts. Meeting summaries. Basic research. The productivity gains are real but marginal. Maybe 30 minutes a day.
The tell: you say “I use AI every day,” but your org chart, decision velocity, and meeting load are identical to what they were two years ago.
This is where executives plateau. The tool is useful. But it hasn’t changed what you’re capable of.
Level 3: The Operator
AI is embedded in how you think, not just how you write. You use it for strategy synthesis. Competitive analysis. Scenario modeling. Board prep. You’re not just faster at tasks. You’re making better decisions because you’re processing more context in less time.
The tell: your team notices. They say you’re asking sharper questions. Moving faster on calls that used to take weeks.
This is the first level where AI changes your output, not just your efficiency.
Level 4: The Redesigner
You stop optimizing within the existing system and start questioning the system itself.
Which meetings still need to exist when AI can synthesize the updates? Which roles are defined around information transfer that AI now handles? Which decisions used to take a week because of data gathering, but now take a day?
The Redesigner treats AI as an organizational design tool, not a personal productivity tool. They’re rebuilding workflows, collapsing decision layers, and rethinking what “management” even means when information flows are instant.
The tell: you’ve eliminated at least one recurring meeting, one approval layer, or one reporting process because AI made it unnecessary.
Level 5: The AI Executive
The role is redefined.
You operate at a leverage multiple that didn’t exist three years ago. You hold more context across more domains. You compress more decision cycles in a day than most executives compress in a week. Your competitive advantage isn’t your industry knowledge or your network. It’s the speed of synthesis.
You can look at a new market, a new company, a new problem, and get to a useful perspective in hours, not months. Not because you’re skipping the work. Because AI compresses the research, the analysis, and the synthesis, you can focus on the one thing it can’t do: judgment.
The tell: you’re doing work that would have required two or three executives, and you’re doing it better. Not because you work more hours. Because every hour produces more decisions, more clarity, more forward motion.
IV. The Real Skill: Decision Compression
Peter Drucker wrote that the executive’s job is to make decisions. Not to gather information. Not to attend meetings. Not to manage processes. To decide.
For decades, the bottleneck was information. You needed analysts, consultants, reports, committees, and off-sites just to get enough context to make a decent call. The gathering took weeks. The synthesis took days. The decision took minutes.
The ratio was insane.
AI flips that ratio.
The gathering is instant. The synthesis takes minutes. Which means the entire value of the executive now sits in two places: knowing which question to ask, and applying judgment to the answer.
Here’s what that looks like in practice.
Last quarter, I needed deep data science analysis on a pipeline optimization problem. Old world: that’s a data scientist, working for 4-6 weeks to gather the data, build the machine learning model, validate the output, and share the results.
Instead, I spent 30 minutes feeding in a Salesforce export, describing my goal, answering a few questions, reviewing the output, and getting to my insight the same morning.
That’s not AI making me faster at the same job. That’s AI making an entirely different kind of decision process possible. The quality didn’t suffer because the timeline was compressed. The quality improved because I could test multiple scenarios, surface more data, and pressure-test my assumptions in real time, rather than waiting for someone to build a model.
Decision compression is not doing the same thing quicker. It’s doing something fundamentally different.
That’s the single skill that separates Level 5 from everything below it.
V. The Self-Assessment
Here’s how to know where you actually are. Not where you think you are.
Answer these honestly. Write down your answers. The gap between what you want to write and what’s true is the gap this manifesto is about.
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When was the last time AI changed a decision you made? Not sped it up. Changed it. If you can’t name a specific instance in the last 30 days, you’re at Level 1 or 2.
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What process, meeting, or workflow have you personally eliminated because AI made it redundant? If the answer is zero, you’re below Level 4.
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Can you describe, in specific terms, what you can do today that was impossible for you 18 months ago? Not “I’m more efficient.” What new capability do you have? If you don’t have a clear answer, you’re optimizing the wrong layer.
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Has AI changed what you spend your time on, or just how fast you do the same things? If it’s the latter, you’re a Dabbler with an Operator’s self-image.
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Could someone reconstruct your AI workflow by watching you work for a day? If not, you don’t have a workflow. You have a habit of opening ChatGPT occasionally.
Most executives will read these and realize they’re one or two levels below where they thought they were.
That’s not a failure. That’s the starting line.
VI. What It Takes to Move
The maturity model isn’t a ladder you climb by reading articles and buying tools. Each level requires you to let go of something. And the thing you’re letting go of is the thing that got you here.
From Level 1 to 2: Let go of delegation as a shield.
You became an executive by building teams and trusting them to execute. That instinct is telling you that AI adoption is another initiative to delegate. It’s not. This one requires you to go first. You have to sit down, feel stupid for an hour, and figure out your own workflow before you have any credibility mandating it for others.
The executive who hasn’t personally wrestled with AI is giving directions to a city they’ve never visited.
From Level 2 to 3: Let go of AI as a convenience and use it as a thought partner.
This is where most executives stall, because Level 2 feels productive. You’re saving time. You’re getting compliments on how quickly you turn things around.
But you’re using a jet engine to power a bicycle.
The shift to Level 3 means bringing AI into the decisions that matter. The strategic calls. The ambiguous situations. The places where you used to rely purely on your gut. That requires vulnerability. You have to show the machine your actual thinking and let it challenge you.
From Level 3 to 4: Let go of the system you built.
This is the hardest transition. You designed the org chart. You set the meeting cadence. You built the approval chains. These structures reflect your judgment, and questioning them feels like questioning yourself.
But most organizational structures exist to solve information problems that AI has already solved. Weekly status meetings exist because you couldn’t get real-time updates. Approval layers exist because you couldn’t trust distributed decision-making without oversight. Reporting hierarchies exist because information has to flow through humans.
AI changes the underlying conditions for which these structures were built.
The Redesigner has the courage to look at the machine they built and ask: Does this still make sense?
From Level 4 to 5: Let go of the assumption that one executive, one company, one context is the ceiling.
This isn’t about working more. It’s about recognizing that the boundaries of the executive role were always set by information processing limits, not by some law of nature. When those limits change, the role changes.
The AI Executive doesn’t just run a tighter ship. They operate across a surface area that wasn’t possible before. That requires letting go of the identity that says “I’m a [title] at [company]” and replacing it with “I’m an executive who applies judgment at scale.”
Every transition costs you something that used to make you feel competent.
The cost of moving up isn’t technical. It’s psychological.
VII. The Operating System Metaphor
Think of it this way.
Most executives are running the same operating system they installed a decade ago. They’ve added new apps on top. Shinier tools. Faster processors. But the underlying OS — how they take in information, make decisions, structure their time, allocate their attention — hasn’t been updated.
AI is not an app. It’s a new operating system.
Level 1 executives haven’t installed it. They’ve told their team to install it on their machines.
Level 2 executives installed it but are still running all their old apps in compatibility mode. Nothing actually changed.
Level 3 executives are running native apps. They’re starting to see what the new OS can do.
Level 4 executives realized the old file structure no longer makes sense. They’re reorganizing everything around what the new OS makes possible.
Level 5 executives aren’t just running one machine. They’re running multiple machines on the same OS, because the architecture supports it.
You can’t get the performance of a new operating system by running the old one faster.
You have to make the switch.
VIII. The Stakes
The executives who reach Level 4 and 5 are already operating at 3x to 5x the decision velocity of those at Level 1 and 2. Same hours. Same experience. Completely different output.
This isn’t a prediction. It’s happening now. And the gap is compounding.
Every week a Level 5 executive operates while a Level 1 executive “plans to adopt AI,” the distance between them grows. Not linearly. Exponentially. Because the Level 5 executive isn’t just making faster decisions. They’re making more decisions, across more contexts, with better data. Each decision compounds into better positioning, faster learning, and sharper pattern recognition.
Boards are already asking their CEOs where they sit on this spectrum. Investors are already using it as a diligence filter. The question isn’t “is your company using AI?” It’s “are YOU using AI? Show me how.”
The 10x engineer got a two-year head start because the output was visible.
The 10x executive is the real story. And it’s just getting started.
Which level are you at? I’d genuinely like to know. Start a conversation.