Over Innovator and Facilitator

What are the main differences between innovators and facilitators in driving AI change?

• Facilitators create AI solutions, while innovators support teams.

• Innovators focus on creating and implementing AI solutions, while facilitators support and guide teams through the change process.

• Innovators resist change, while facilitators drive it.

• Innovators and facilitators have the same roles.

How do innovators and facilitators collaborate to implement AI solutions?

• Innovators develop AI technologies, and facilitators ensure smooth adoption and integration within teams.

• Innovators and facilitators work independently without collaboration.

• Facilitators develop AI technologies, and innovators support teams.

• There is no need for collaboration between the two roles.

What skills are essential for both innovators and facilitators in the age of AI?

• Only technical skills without communication abilities.

• Technical knowledge, communication skills, and adaptability.

• No need for technical knowledge.

• Lack of adaptability and resistance to change.

How can organizations support the development of innovators and facilitators?

• By providing training, resources, and a culture that encourages innovation and collaboration.

• By discouraging innovation and collaboration.

• By providing no support or resources.

• By focusing only on traditional methods.

How does the book define the future of leadership in the age of AI?

• Leaders will focus only on non-technical skills.

• AI will replace the need for leadership.

• Leadership will increasingly involve guiding teams through technological transformations and leveraging AI for strategic advantage.

• Leadership will remain unchanged.

What are some examples of successful AI-driven changes led by innovators?

• Focusing only on manual processes.

• Ignoring technological advancements.

• Avoiding AI in all projects.

• Implementing AI for predictive maintenance, developing AI-driven customer service bots, and creating AI-powered data analytics tools.

What are some examples of successful AI-driven changes facilitated by facilitators?

• Providing no support for AI initiatives.

• Focusing only on administrative tasks.

• Ensuring smooth adoption of AI tools, training teams on new AI technologies, and aligning AI projects with business goals.

• Discouraging the use of AI.

How does the book suggest leaders prepare for AI-driven transformations?

• By focusing only on short-term goals.

• By avoiding innovation.

• By staying informed about AI developments, fostering a culture of innovation, and investing in continuous learning.

• By ignoring AI developments.

What are the key takeaways from the chapters on driving change as innovators and facilitators?

• Only innovators are important in AI projects.

• Innovators drive technological advancements, while facilitators ensure smooth implementation and team adaptation.

• Facilitators should avoid involvement in AI projects.

• Innovators and facilitators have the same roles.