A lot of conversations about AI jump straight to the end state. Leaders envision a future where the human workforce is focused on higher-order thinking and augmented with agentic capabilities across the enterprise, and where operational costs are much lower. While visionary thinking is not negative, we’re discovering that the transition from today’s version of the organization to a more automated state will require a massive transformation to achieve. Effective, sticky change requires active work and leadership to truly pivot processes, integrate technology, cultivate new skillsets, establish the cultural foundations, reformat the organizational structure, and ramp to new ways of working. Machines can’t steer that kind of change; humans still have to.
That’s where leadership comes in. AI doesn’t change the fundamentals of how organizations move from one state to the next. Leaders still must decide where AI belongs, where it doesn’t, and how they still require human attention and intellect. They have to anchor those decisions in the values of the business and the experience they want employees and customers to have. And if they want to drive true innovation, the company’s culture has to make room for it.
None of this happens on its own. It takes deliberate thinking on culture, clear positioning of the role AI will play for the business, and a way to strategically guide management and front-line employees through the change. That’s the real work of AI adoption, and it starts long before a single tool goes live.
# Build the Hidden Infrastructure of Culture
When people talk about company culture, they often describe it as if it’s abstract—values on a wall or an idea they reinforce at company meetings. But culture is what people experience every day. Leaders set the tone in how they make decisions, large and small. Teams follow this lead in how they execute, how they evaluate risk, how they innovate, and how they respond when something doesn’t go as planned.
Being in a state of transformation will magnify whatever culture already exists. If your environment is low on trust or has grown tired of change, AI transformation will make those limitations more visible. If your organization embraces safe risk-taking, creates space for innovation, and respectfully spars on business decisions, you have a more solid platform to work through the messy parts of transformation and adoption.
Culture also shapes how people interpret the opportunity (or threat) of involving more AI in their jobs and functions. This work of establishing or changing culture can’t be handed off to HR or IT; all leadership must set the tone. Leaders need to get comfortable talking about AI in a way that keeps learning and purpose at the center: “Here is what this means for us and the opportunity it creates. Here is where we should be scaling it, and here is where we will still require human judgment to lead.” When employees hear that message firmly and consistently, trust—and even excitement—starts to replace fear.
How to get started:
- In your next all-hands meeting, zoom out from the project list and talk directly about the headwinds and the competitive pressure the business is under. Explain your position on how the business can stay healthy and how AI capabilities will be critical to that position.
- Sit down with your leadership team to name the culture you have and the culture you will need to make room for innovation. Invite their concerns and reservations, and discuss them. Ask your leaders to cascade and reinforce the right values on their teams. When you later see actions rooted in the desired culture, offer visible gratitude as positive reinforcement.
- When making even small day-to-day decisions, explain your thinking each time—even briefly. Connect your decision to your cultural values, providing a blueprint for decisions that will be made when you’re not in the room.
Read the full article with Workplace Insight to learn more, including:
- How to position AI adoption as a business story
- The importance of being a champion for change management
