Archive · 13 Jun 2025
9 AI Tips for CEOs: A People-First Leadership Approach
AI is changing how we work and lead.
This article shares tips for leaders, like learning AI deeply, figuring out what problems AI can solve, and helping everyone learn.
It also suggests setting up a support team to help people use AI, picking smart AI projects, and building ethical rules.
The goal is to focus on people and what they achieve, not just the technology itself.
This approach prioritizes trust, learning, and clear communication during the AI transformation.
AI adoption requires leadership reckoning, shifting focus from tool upgrades to human-centered strategies.
Senior leaders need immersive AI education to guide organizational direction and decision-making.
Companies should catalogue problems and identify real challenges to target with AI solutions.
Building an AI helpdesk and encouraging internal AI coaches can facilitate staff skilling.
Leaders must focus on value and human outcomes, not vanity metrics, when scaling AI.
- Who
- Business leaders, Elaine Page's mentor
- What
- Practical roadmap for AI adoption and leadership transformation
- When
- Present time
- Where
- Businesses worldwide
- Why
- To make the most of the present AI wave and navigate transformation
Current Leadership Approaches
Future Leadership Approaches
Approach
Current Leadership Approaches
Focusing on tool upgrades
Future Leadership Approaches
Focusing on human-centered strategies.
Senior's Understanding
Current Leadership Approaches
Delegate AI strategy without vision
Future Leadership Approaches
Ensure seniors can comprehend AI
Scaling AI
Current Leadership Approaches
Tracking usage
Future Leadership Approaches
Focus on tracking value
- Expert
- Elaine Page
- Focus
- People-first leadership
- Key message
- AI isn't just a tool shift, but a leadership reckoning.
- Main goal
- To help team grow through AI, not be left behind.
- Recommendations
- Educate seniors, catalogue problems, find right use cases, build AI helpdesk, choose projects, vet tools, build ethics, reward experimentation and scale with purpose.