To overcome employee resistance to learning AI, position it as a personal career investment. Ask them to consider what skills will be required in job interviews in two or three years. This shifts motivation from a top-down mandate to a valuable opportunity for personal and professional growth.

Business leaders often assume their teams are independently adopting AI. In reality, employees are hesitant to admit they don't know how to use it effectively and are waiting for formal training and a clear strategy. The responsibility falls on leadership to initiate AI education.

To foster genuine AI adoption, introduce it through play. Instead of starting with a hackathon focused on business problems, the speaker built an AI-powered scavenger hunt for her team's off-site. This "dogfooding through play" approach created a positive first interaction, demystified the technology, and set a culture of experimentation.

Driving company-wide AI adoption doesn't require massive training programs. Short, consistent, and practical 15-minute weekly sessions showcasing useful applications can create a powerful cultural shift and accelerate learning more effectively than large-scale, infrequent training.

To encourage widespread use of new AI tools, Qualcomm identifies key people to become 'super users'. As these evangelists demonstrate the tool's value and efficiency, they create a Fear Of Missing Out (FOMO) effect, generating organic demand and pulling the rest of the organization toward adoption rather than pushing it on them.

If your company lacks access to modern AI tools, don't see it as a blocker; view it as a leadership opportunity. Create a concise 'one-sheeter' outlining specific use cases, estimated hours saved, and productivity gains. Presenting a clear business case can turn hesitant leadership into champions for modernization.

Leaders often misjudge their teams' enthusiasm for AI. The reality is that skepticism and resistance are more common than excitement. This requires framing AI adoption as a human-centric change management challenge, focusing on winning over doubters rather than simply deploying new technology.

Companies fail with AI when executives force it on employees without fostering grassroots adoption. Success requires creating an internal "tiger team" of excited employees who discover practical workflows, build best practices, and evangelize the technology from the bottom up.

To maximize adoption, frame advanced leadership tools as a personal benefit for career growth, not a mandatory training program. This approach taps into intrinsic motivation to improve, fostering development that transcends an employee's current role and builds long-term goodwill.