Every organization is racing to implement AI right now with new tools, workflows, and task forces. 

Most of it will underdeliver, not because the tools aren't good, but because the foundation isn't there.

We spent months digging into why so many AI investments aren't paying off, and the answer kept coming back to one thing. The organizations seeing early results from AI—and our AI research report shows it's only 28% of them—aren't just the ones with the best technology. They're the ones who built a strong culture first. 

Culture is what makes AI adoption work, and right now, most companies are underinvesting in it.

‍88% of employees use AI, but only 28% see transformational results

What happens when you underinvest in culture

The costs of overlooking culture as an aspect of your AI strategy aren't always visible at first, but they show up.

37% of employees say AI threatens their job security, and that anxiety has organizational consequences. It shapes how people contribute, how they relate to colleagues, and how willing they are to engage with new ideas. The trust that good work depends on disappears.

AI is also making teams lonelier. As it absorbs more routine work, it absorbs the interactions that used to connect people, too, leading to more emotionally fatigued teams. Output can look fine on paper, while the culture underneath erodes.

There's also a retention trap: AI-trained employees are 55% more likely to quit. Every upskilling investment your org makes has an exit probability baked into it—unless the culture gives people a reason to stay.

‍Highly AI-trained employees are 55% more likely to quit

Culture is built in the daily moments

Culture isn't built in an annual survey or a company values document. It's built in small, repeated moments across every team, every day.

Think of a manager who recognizes great work before the moment passes. A 1:1 where someone says how they're actually doing that week. A team that celebrates wins together and shows up for each other's hard moments.

These moments add up. They're what make employees feel safe enough to take risks, connected enough to collaborate, and valued enough to stay. They're what create the cultural conditions that make AI adoption possible in the first place.

As AI absorbs more of the work that requires human interaction, building culture deliberately through daily practice is one of the most important investments your organization can make. But none of this happens naturally–organizations have to create the conditions for it.

The People Leader's moment

If you're a People or HR leader right now, you might be wondering what your role is in an AI-first world.

Here's what we believe: the work people and culture leaders have always done is exactly what makes AI implementation possible:

• Building trust between people and leadership 
• Creating environments where it's safe to learn, fail, and grow 
• Helping teams stay connected when the daily rhythm of work keeps changing around them. 

That work keeps people engaged, invested, and willing to take the risks that successful AI implementation requires.

People leaders who understand this aren't playing a supporting role in their company's AI strategy. They're building the foundation it runs on. The orgs that figure this out early won't just have smoother AI adoption, they'll have cultures people actually want to stay in.

The organizations that win over the next decade won't be the ones that moved fastest on tools. They'll be the ones whose cultures were ready when the tools arrived.

In our latest report, we dive deeper into the research on how AI is changing your culture, and how you can get ahead of it.