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The Great AI Officer Charade
I’m going to say something that might get me kicked out of a few Silicon Valley dinner parties. The Chief AI Officer role? It’s a charade. A feel-good title that signals you’re “doing AI” without actually doing the hard work. I’ve seen it happen too many times.
A board gets nervous. They read some headlines, see competitors launching AI features, and the panic sets in. The CEO, under pressure, makes a big show of hiring a “Chief AI Officer.” It’s a press release, a new face on the leadership page, and a collective sigh of relief. See? We’re innovative. We’re on the cutting edge.
Bullshit.
For most companies, hiring a CAIO is like putting a Formula 1 driver in a 1998 Toyota Corolla. You’ve got a high-priced expert with a fancy title, but they’re strapped into a system that’s fundamentally not ready for them. They have no engine, no specialized team, and no real power to change the vehicle they’re driving. The result? They spend a year creating beautiful PowerPoints, talking about “transformation,” and ultimately, achieving nothing of substance. Then they leave, and the company is right back where it started, only a few hundred thousand dollars poorer.
My First Brush with "Innovation Theater"
This isn’t a new problem. Back when I was building my first company, RemoteTeam, the buzzword was “Big Data.” Everyone needed a “Chief Data Officer.” We were a small, scrappy startup, but even we felt the pressure. We interviewed a few candidates, all brilliant, all expensive. One of them wanted to build a data science team of 15 people before we had a million dollars in revenue.
I remember thinking, “What are they going to do? Analyze the data from our ten customers?”
We didn’t hire a CDO. Instead, we made data everyone’s job. Our product lead learned SQL. Our marketing person figured out how to build dashboards. I personally tracked our core metrics on a whiteboard every single day. We didn’t have a high-paid executive to delegate the thinking to. We did the thinking ourselves. It was messy, but it was real. We built a data-driven culture from the ground up, not from the top down. That’s a big reason Gusto acquired us. We had the fundamentals right.
The Real Problem: You’re Delegating the Revolution
The rush to hire a CAIO is a symptom of a much deeper disease: leaders trying to delegate the most significant technological shift of our lifetime. You wouldn’t have outsourced your internet strategy in 1999, would you? You wouldn’t have hired a “Chief Mobile Officer” in 2010 and told them to “handle the iPhone thing,” would you?
This is the same mistake, but on a much larger scale. AI isn’t a department. It’s not a feature. It’s a fundamental rewiring of how business works. It’s a new operating system for the entire company. And the CEO, the COO, the CPO—the entire existing C-suite—needs to be the one driving that installation.
When you hire a CAIO, you’re creating a single point of failure. You’re telling the rest of your organization, “Don’t worry about AI. That’s [CAIO’s Name]’s problem.” Your head of product stops thinking about how AI can reinvent your user experience. Your head of marketing doesn’t explore how AI can personalize campaigns at scale. Your head of operations doesn’t investigate how AI can automate your supply chain. They all just wait for the CAIO to come down from the mountain with a grand plan.
That plan never comes. Because no single person can understand the intricacies of every business unit and magically sprinkle AI on top. It’s an impossible job.
What to Do Instead: Build an AI-Native Culture
So if hiring a CAIO is a trap, what’s the right move? It’s harder, but it’s the only way to actually win.
1. The CEO Must Become the Chief AI Officer.
There’s no getting around this. The leader of the company must be the most passionate, informed, and relentless champion of AI. I’m not saying you need to be able to code a neural network. But you need to understand the technology at a deep, strategic level. You need to be using the tools yourself. You need to be the one asking the hard questions in every meeting: “How can AI make this better? What’s our AI-native approach to this problem?”
As an investor in over 200 companies, including foundational players like Anthropic, OpenAI, and Scale AI, I see this pattern constantly. The winning companies are led by founders who are obsessed with the technology. They aren’t delegating the future; they are actively building it.
2. Educate Your Existing Leadership.
Instead of spending $500k on a CAIO, invest that money in your current leadership team. Send them to workshops. Hire experts to come in and do deep-dive sessions. Create a mandatory “AI book club.” Your Head of Product, Head of Engineering, Head of Marketing, and Head of Sales should all become AI experts in their own domains. They are the ones who know the problems and opportunities in their areas better than any outsider ever could.
3. Empower Small, Cross-Functional Teams.
Don’t create a centralized AI team that becomes a bottleneck. Instead, create small, agile pods that are embedded within business units. A product manager, a designer, an engineer, and a data scientist, all focused on a specific problem. Give them a clear goal, like “Increase user retention by 10% using AI,” and get out of their way. This is how you get real, tangible results, fast. This is how you build momentum.
4. Change Your Hiring DNA.
Stop looking for a savior. Start hiring people who are already AI-literate. Every new product manager you hire should have experience building AI-powered features. Every new marketer should know how to use AI for copywriting and analysis. Make AI proficiency a core competency for every role in the company, from the intern to the C-suite. This is a slow process, but it’s how you build an organization that can thrive in the AI era for the long term.
The Exception to the Rule
Is there ever a time to hire a CAIO? Yes, but it’s rare. If you’re a massive, multi-billion dollar conglomerate with dozens of disconnected business units (think General Electric or Procter & Gamble), a CAIO can sometimes act as a vital coordinator and evangelist. They can help break down silos and force conversations that wouldn’t happen otherwise.
But let’s be honest. That’s not most companies. That’s probably not your company. For the 99% of businesses out there, the CAIO is a crutch. It’s a way to avoid the real, painful, and necessary work of transforming your culture from the inside out.
Stop looking for a hero. The future of your company isn’t going to be saved by one expensive hire. It’s going to be built by the people you already have, empowered with the right knowledge and the right mandate. The AI revolution is here. It’s time for you, the leader, to actually lead it. '''
Frequently Asked Questions
How has this view evolved over time?
My thinking on most topics has changed significantly over the years. Early in my career, I held many conventional views that experience proved wrong. I try to update my beliefs when the evidence changes.
How can I apply this thinking to my own situation?
Start by identifying the core principle behind the opinion, not the specific example. Then ask yourself: does this principle apply to my context? If yes, test it in a small, low-risk way before going all in.
What's the most common pushback you get on this?
People often push back by citing exceptions or edge cases. And they're usually right that exceptions exist. But building a strategy around exceptions rather than patterns is a losing game for most founders.
Do all experts agree with this view?
No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.