Don't expect your organization to adopt a new strategy uniformly. Apply the 'Crossing the Chasm' model internally: identify early adopters to champion the change, then methodically win over the early majority and laggards. This manages expectations and improves strategic alignment across the company.

To drive transformation in a large organization, leaders must create a cultural movement rather than issuing top-down mandates. This involves creating a bold vision, empowering a community of 'changemakers,' and developing 'artifacts of change' like awards and new metrics to reinforce behaviors.

For leaders overwhelmed by AI, a practical first step is to apply a lean startup methodology. Mobilize a bright, cross-functional team, encourage rapid, messy iteration without fear, and systematically document failures to enhance what works. This approach prioritizes learning and adaptability over a perfect initial plan.

When driving major organizational change, a data-driven approach from the start is crucial for overcoming emotional resistance to established ways of working. Building a strong business case based on financial and market metrics can depersonalize the discussion and align stakeholders more quickly than relying on vision alone.

To avoid chaos in AI exploration, assign roles. Designate one person as the "pilot" to actively drive new tools for a set period. Others act as "passengers"—they are engaged and informed but follow the pilot's lead. This focuses team energy and prevents conflicting efforts.

Instead of large, multi-year software rollouts, organizations should break down business objectives (e.g., shifting revenue to digital) into functional needs. This enables a modular, agile approach where technology solves specific problems for individual teams, delivering benefits in weeks, not years.

To sell large transformation projects, present the ambitious "North Star" goal but break it into sequential stages. Critically, Stage 1 must deliver tangible business value on its own. This approach wins over skeptics by providing an early return on investment, securing the momentum and buy-in needed for subsequent stages.

To transform a product organization, first provide universal access to AI tools. Second, support teams with training and 'builder days' led by internal champions. Finally, embed AI proficiency into career ladders to create lasting incentives and institutionalize the change.

Spreading excellence should not be like applying a thin coat of peanut butter across the whole organization. Instead, create a deep "pocket" of excellence in one team or region, perfecting it there first. That expert group then leads the charge to replicate their success in the next pocket, creating a cascading and more robust rollout.