AI readiness starts with leadership

At Culture First Forum North America, one theme emerged clearly: AI readiness is not just a technology conversation, it’s a leadership test.

When leaders talk about AI strategy, they often focus on which tools to deploy, which policies to approve, and which workflows to automate first. Those questions matter. But they're not where AI transformation begins.

At Culture First Forum North America, HR executives from U.S. Steel, Steve Madden, and SolarWinds offered a sharper framing: AI transformation starts with leadership – specifically, HR leadership. The organizations that get AI right aren't the ones who put together the perfect tech stack; they're the ones who prepare their people to work differently, trust the process, and stay resilient as the nature of work shifts beneath them.

Real competitive advantage doesn't live in a particular AI model. It lives in your company’s culture.

Why HR owns the AI agenda

Some companies may turn to their IT or engineering teams to lead decision-making around AI, but Culture Amp CEO Caroline Rawlinson sees HR as the real leaders in this space. She says, "HR owns the readiness. HR owns the transformation agenda."

HR isn't there to absorb disruption after a company implements its AI strategy. It's there to guide and support employees throughout the process, and HR efforts will often determine whether the transformation is successful.

It may be hard for some executive teams to hear, but rolling out new AI tools isn’t a solution in itself. Involve HR leaders in AI strategy, before, during, and after the rollout. Caro explains, “Change management, people, culture – these are the real drivers of performance. They're what make transformations succeed or fail."

Instead of focusing on what AI tools you want to implement, think about how to prepare your people for the changes. Building confidence, establishing role clarity, and sustaining new behaviors takes effort, but it helps employees understand the “why” behind your AI strategy – and how they fit in.

When culture data contradicts the business case

As an example of how HR’s role is critical during times of change, Caro shared a scenario with attendees: A CEO was preparing for a major business pivot. Financially, everything looked strong. But the culture data told a different story entirely:

• Strategy scores were dangerously low. Employees didn't understand where the company was headed or why the pivot was necessary.
• Belief in leadership was lagging. The executive team lacked the internal credibility to inspire confidence through sustained change.
• Role clarity was virtually nonexistent. No one agreed on who was responsible for executing what.

Rather than push forward with the pivot, the CEO paused to invest in change management and realign workforce expectations. When they eventually made the pivot, the team executed with genuine conviction, not compliance.

The lesson here isn't to slow down. It's to build the human infrastructure to implement changes successfully before you need it.

In 2026, the conversation is culture

Brian Elliott, CEO of Work Forward, Executive-in-Residence at Charter, and Senior Advisor at BCG, wants to cut through the vendor noise and get honest about what's actually driving AI outcomes: "Two years ago, the entire conversation was about AI as a technology. How are you deploying it? How are you using it? Where are you bringing it? …In 2026, the entire conversation is culture.”

He refers to Microsoft research showing that 67% of AI's business impact comes from manager support, culture, and talent investment.

Most of the value isn't in the model. It's in the human conditions surrounding it.

If you want ROI from AI, you don't start with the technology roadmap. You start with your managers, your trust levels, and your organization's capacity to learn. Communicate transparently about the changes you’re making, and listen to employees throughout the process.

The difference between rollout and readiness

A company can have enterprise licenses, approved vendors, and a polished C-suite memo and still be entirely unprepared to implement a new AI strategy.

If frontline managers aren’t prepared to guide experimentation, if teams are fuzzy on what ethical use of AI looks like, if employees feel like AI is being done to them rather than with them, adoption stalls. Fast.

The real questions CHROs should be asking aren't about launch timelines. Instead, critical questions to ask include:

• How well can our organization learn these AI tools?
• Can our managers coach through ambiguity?
• Are teams ready to share what's working across silos?
• Can our leaders articulate the strategic purpose – not just the compliance policy?

AI is accelerating the pace of work – but your organization’s approach will determine whether that acceleration creates confidence or chaos. The HR leaders who successfully guide AI readiness aren’t the ones who move fastest on technology. They're the ones who understand that making the most of AI takes coordinated human effort.