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What does AI organizational readiness look like?

AI organizational readiness is less about technical expertise and more about how people show up daily.

A young woman is using her laptop at a coffee shop.A young woman is using her laptop at a coffee shop.

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Insights from Ellen Raim, Founder of People MatterWe focus more on solving than preventing People problems.

AI adoption requires a cultural shift that impacts how people think, work and interact across every level of an organization. If your company is serious about integrating AI, your culture (not just your systems) has to be ready to adapt.

Here’s what AI organizational readiness looks like at different levels of the org chart. As you’ll see, it’s less about technical expertise and more about how people show up daily.

Individual contributors: Curiosity beats perfection

For ICs, AI readiness is about approaching work with curiosity and flexibility.

No one expects ICs to become machine learning experts over night. But they should feel comfortable experimenting with new tools and workflows without fear of “doing it wrong.” 

For ICs, AI readiness is about asking better questions, staying open to feedback and seeing change as an opportunity, not a threat.

AI readiness for ICs also means building stronger communication habits. If an AI tool suggests something unexpected, how do they explain it to their manager or teammates? Clarity and confidence in sharing observations (and raising concerns) will go a long way.

Managers: Adaptability in action

To get an organization ready for AI adoption, managers have to walk the talk when it comes to adaptability.

It’s not enough to tell their teams to “embrace AI.” Managers must model behaviors — like trying new approaches, admitting when something didn’t work and pivoting gracefully.

Managers also need to focus on how AI affects collaboration. It’s their job to set expectations about how AI tools will (and won’t) be used.

Will AI handle routine tasks? Will AI support decision-making? Managers should create space for conversations about how these shifts feel and what support people need.

And while they’re at it, managers need to brush up on their coaching skills. AI might change the “what” of someone’s role, but the “why” (and the human behind it) still matters. Great managers help their teams find meaning in their work, even when the details shift.

Executives: Commitment over charisma

At the executive level, AI readiness isn’t about making grand speeches or tossing around tech jargon. It’s about showing real commitment to a culture that values adaptability and thoughtful risk-taking. That starts with investing time and resources into helping everyone (from ICs to senior leaders) navigate change.

Executives also need to balance optimism with realism. AI won’t solve all your problems, and pretending otherwise only makes people skeptical.

Instead, executives need to focus on what AI can do, acknowledge its limitations and encourage teams to keep testing and learning.

Finally, executives should check their own egos. AI will humble you quickly if your leadership style depends on being the smartest person in the room. Great leaders make space for others’ ideas — especially when AI opens new doors.

Building the right culture for AI adoption

AI readiness isn’t about a perfect plan. It’s about creating a culture where people trust each other, adapt quickly and aren’t afraid to rethink old habits.

When curiosity and collaboration are the default, AI feels less like a threat and more like a helpful friend. And that’s when the real fun (and the hard work) begins.

Learn live. Adapt faster.

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