It won't be easy and it will take time, but from my work experience I think these can be the right steps: 1. Educate and Inform on AI 2. Highlight Benefits of AI 3. Showcase Use Cases of AI 4. Encourage Experimentation of AI 5. Facilitate Open Dialogue on AI 6. Collaborative Approach to AI 7. Provide Continuous Support on AI Education is key to welcoming a new technology like GenAI, and it should be combined with hands-on experience and open communication. Trust should be built gradually and enthusiasm for AI within the team will grow, with the goal of transforming skepticism into a shared vision for innovation.

Addressing skepticism in a cross-functional team about AI’s potential requires a blend of education, tailored demonstrations, and active listening. Start by contextualizing AI's relevance to their specific domain challenges, showing how it can solve pain points through concrete examples or case studies. Run pilot projects with measurable KPIs that align with team goals, illustrating quick wins to build trust. Engage in open dialogue to address ethical concerns, biases, or job impact fears. Finally, involve the team in the AI solution design process, fostering ownership and reducing resistance by making them part of the transformation rather than passive observers.

Your cross-functional team is skeptical about AI’s potential? I get it. • It feels like “hype” • It sounds too complex • And you’re probably hearing buzzwords daily But here’s how I tackled it when my team had doubts: 1. Start with small wins ↳ Introduce simple tools, like AI-driven automation for mundane tasks. 2. Focus on actual impact ↳ Share examples of how AI cuts costs, improves efficiency, or creates new opportunities in your specific industry. 3. Education is key ↳ Host a quick “AI demystified” session → Break it down in layman’s terms (no jargon!) Remember: The goal isn’t to “sell” AI. It’s to show how it simplifies their lives.

🤖Educate the team on AI’s practical use cases, showing real-world applications relevant to their field. 🎯Highlight AI's potential to solve their specific challenges, focusing on how it can complement their expertise rather than replace it. 🔄Encourage small pilot projects to demonstrate AI's value through measurable results. 🔍Address concerns transparently, fostering a space for open dialogue and questions. 💡Provide tailored workshops or hands-on sessions to build confidence in AI’s capabilities. 🔗Emphasize cross-functional collaboration, showing how AI can enhance teamwork and innovation.