There’s a question that’s been lingering in the back of every product leader’s mind for the past two years: “Are we keeping up?”
You’ve been watching AI spread across the industry. You’ve greenlit a few pilots. Maybe your team uses ChatGPT for the occasional first draft. But somewhere between the promise and the practice, there’s a gap – and you’re not sure how big it is.
That uncertainty has a name: AI FOMO. And it’s real, it’s widespread, and it’s getting louder.
The uncomfortable truth about AI FOMO
AI FOMO isn’t just the feeling that your competitors are moving faster. It’s the creeping suspicion that your team is operating with one hand tied behind its back – slower to discover, slower to decide, slower to ship – while other product orgs are operating in a fundamentally different gear.
The problem is that FOMO, left unchecked, doesn’t produce good decisions. It produces reactive, impulsive ones. Teams rush to implement AI tools without a strategy. Leaders approve tooling budgets without knowing what problem they’re solving. Individual contributors run personal experiments that never scale. Meanwhile, the actual gap between AI-mature and AI-immature product organizations keeps widening.
The antidote to FOMO isn’t to ignore it. It’s to replace the anxiety with clarity. And clarity starts with an honest assessment of where you actually stand.
Benchmark yourself against other product teams in 10 minutes
Product leaders need more than questions; they need answers. That’s why we’ve created our AI maturity quiz. It takes 10 minutes to complete and will score your team across four dimensions:
AI readiness
AI maturity
Culture
Impact
The instant results tell you where your product org sits on the maturity spectrum: behind, lagging, exploring, advancing, or leading.
Your response also contributes to our upcoming ‘State of AI in product management’ report, with industry-wide benchmarks on how real product teams are actually adopting AI.
What’s more, participants get early access to the report.
Why this matters beyond your own team
Right now, most AI benchmarks in product management are anecdotal. People share wins on LinkedIn. Vendors publish case studies. Analysts extrapolate from small samples.
There’s very little rigorous, cross-industry data on what AI adoption actually looks like at the product org level: the skills, the tooling, the strategy, the culture, and the measurable impact. This report is designed to change that. And the data quality depends on the breadth of participation, which is why every response matters.
If you’re a Product Manager, Product Ops, CPO, VP of Product, or Head of Product who wants to make informed decisions about where to invest in AI, this is the kind of data you want to have before everyone else does.
What to do with your score
Your result is a starting point, not a verdict. If your team is still in early experimentation, you’ll know exactly which dimensions to prioritize: Strategy first, then skills, then tooling. If you’re already embedded across most workflows, you’ll see where the remaining gaps are and where AI can start driving competitive differentiation rather than just efficiency.
The goal isn’t to feel good or bad about the number. It’s to replace the vague unease of FOMO with a clear picture of your starting point, and a more informed sense of what to do next.
Take the AI maturity quiz now → Get your score in 10 minutes and be first in line for the ‘State of AI in product management’ report.
Francisca Berger Cabral
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Experience the new way of doing product management