For executives to truly drive AI adoption, simply using the tools isn't enough. They must model three key behaviors: publicly setting a clear vision for AI's role, actively participating in company-wide learning initiatives like hackathons, and empowering employees with the autonomy to experiment.

To effectively lead through the AI transition, executives should embrace a growth mindset of extreme curiosity and be comfortable admitting they don't have all the answers. This models the desired behavior for their teams and positions AI as a "co-pilot" for collective learning.

AI is a 'hands-on revolution,' not a technological shift like the cloud that can be delegated to an IT department. To lead effectively, executives (including non-technical ones) must personally use AI tools. This direct experience is essential for understanding AI's potential and guiding teams through transformation.

Don't treat AI as merely a product feature or a productivity tool. Moonpig's tech chief views it as a fundamental infrastructure shift, like the electrical grid. Leaders should focus on fostering an adaptable mindset for systemic change, rather than fixating on today's specific AI applications.

Like early pilots who flew by feel, leaders have traditionally operated without data. As work becomes more complex, leaders need 'instruments'—objective feedback from tools like AI—to navigate cloudy situations, build intuition, and understand their performance in real-time.

Previously, leaders controlled progress by holding key information. AI democratizes access to intelligence, removing this bottleneck. A modern leader's primary value is no longer in giving direct orders, but in providing rich context—the 'what' and the 'why'—to enable their teams to operate autonomously.

In the AI era, leaders' decades-old intuitions may be wrong. To lead effectively, they must become practitioners again, actively learning and using AI daily. The CEO of Rackspace blocks out 4-6 a.m. for "catching up with AI," demonstrating the required commitment to rebuild foundational knowledge.

AI is commoditizing knowledge by making vast amounts of data accessible. Therefore, the leaders who thrive will not be those with the most data, but those with the most judgment. The key differentiator will be the uniquely human ability to apply wisdom, context, and insight to AI-generated outputs to make effective decisions.

GSB professors warn that professionals who merely use AI as a black box—passing queries and returning outputs—risk minimizing their own role. To remain valuable, leaders must understand the underlying models and assumptions to properly evaluate AI-generated solutions and maintain control of the decision-making process.