4 Things Leaders Must Do to Build a Team That's Ready for AI

Most leaders are asking the wrong question about AI. They're asking: which tools should we use? What should we automate? What's our technology strategy? But the teams that are actually navigating this moment well aren't the ones with the most sophisticated tech stack. They're the ones whose leaders treated AI like what it actually is: a change management problem. A leadership problem. A people problem. In this second episode of our Leading in AI series, Adrian Owen Jones and Devin Lemoine get practical about what it actually takes to build a team that can thrive in a high-change, AI-driven environment. They cover the leadership design gap that's slowing most organizations down, why traditional hierarchical decision-making is a bottleneck AI will expose, and the concrete moves leaders can make right now, with their existing teams and without a budget, to get ahead of this. You'll learn: → Why AI adoption fails as a leadership and change problem, not a technology problem → How to shift decision-making from hierarchical to distributed — and why it matters now more than ever → The "task audit" approach for being intentional about where AI saves time and what you do with those savings → Why creating a culture of learning and low-stakes reps is the most important thing a leader can do right now → How to bring your team into the AI conversation instead of letting fear fester → What real investment in people looks like — feedback, coaching, team building, and planning This is Part 2 of a 3-part Leading in AI series. Part 1 covered managing your own career in the age of AI. Part 3 will cover leading at the organizational level. ⏱ TIMESTAMPS 0:00 Recap from Part 1: career security in the age of AI 2:00 Icebreaker: how we're actually using AI right now 4:30 The real question leaders are asking about their teams 6:00 Where organizations are on the AI adoption spectrum 8:00 Why this is a leadership problem, not a technology problem 9:30 The decision-making bottleneck AI will expose 12:00 How to break open siloed, hierarchical organizations 16:00 Scale for agility — not just consistency 20:00 The task audit: being intentional about time savings 25:00 Slowing down to speed up 29:00 Building your team's decision-making capacity 34:00 Getting reps in — the sharpshooting analogy 38:00 Creating a culture of learning and safe mistakes 45:00 AI transparency: bringing your team into the conversation 50:00 Doing a SWOT on AI for your team or organization 57:00 Investing in your people: feedback, coaching, team building 1:01:00 Recap and close 1:04:00 The mark of a good leader right now 🔗 LINKS Success Labs: https://successlabs.com Part 1 — Managing Your Career in the Age of AI: [link] Part 3 — Leading at the Organizational Level: [coming soon] Subscribe for monthly leadership content: www.successlabs.com/newsletter Free Resources from Success Labs Looking for practical tools to go alongside this episode? We've put together a library of free leadership resources — frameworks, worksheets, and guides you can use with your team right now. 👉 successlabs.com/resources #LeadershipDevelopment #AIatWork #FutureOfWork #TeamLeadership #ChangeManagement #SuccessLabs #LeadinginChange #LeadinginAI