AI is about to get very good at the two thirds of your job most leaders have been relying on to look successful. What is left after that is real leadership.

In this episode you'll learn;

- Why the functional expertise and management skills that got you to where you are today are the exact things AI is going to commoditize first, and what that means for how you need to show up differently starting now

- The three things McKinsey says AI will never be able to do, and why they are probably the parts of leadership you have been most underinvesting in

- Five specific moves to make right now to position yourself as the kind of leader AI makes more valuable instead of less

- Why the leaders who thrive in this next phase will not be the ones who know the most but the ones who can create the conditions where the best work happens

- How to build a business case for AI in your specific role and industry, and why that one skill is what separates the leaders who have a seat at the table from the ones who do not

YOUR CHALLENGE:

This week, answer one honest question: are you actually committed to becoming an AI-enabled leader, and if yes, pick one of the five moves from this episode and block the specific time this week when you are going to start, because commitment without a calendar is just intention.

Topics: AI for leaders, AI leadership, AI career, AI for executives, leadership and AI, AI mindset, future of leadership, AI skills leaders, AI strategy, AI career development, leadership identity, strategic leadership, leading change AI, AI business case, executive AI, leadership development, AI transformation, AI readiness

Mentioned in this episode:

AI Readiness Executive Briefing

In order to sign up for the AI Readiness Executive Briefing on June 11th, click the link below.

AI Briefing Registration

There is a 45-point enthusiasm gap between how executives feel about AI and how their teams feel, and most leaders have no idea it exists.

And this all comes down to you - your team's relationship with AI is a mirror of your relationship with AI. Not what you say about it...it's what you actually do with it.

In this episode you'll learn;

- Why the single most important driver of your team's AI adoption has nothing to do with your company's strategy, tools, or budget, and everything to do with one specific thing you are or are not doing

- The three diagnostic questions that tell you whether the signal you think you are sending your team about AI is actually the signal they are receiving

- What visibly engaged with AI actually looks like in practice, and why designing with your team rather than presenting to them is the difference between adoption and resistance

- Why ambiguity about job security is more damaging than bad news, and exactly what to say to your team whether their roles are safe or genuinely at risk

- Why your team's relationship with AI will never outpace your own, and what that means for what you need to go and do differently this week

YOUR CHALLENGE:

This week, have the one AI conversation with your team you have been putting off, not an announcement and not a forwarded article, but an actual interactive conversation where you ask them what they are doing with AI, share something that did not work for you personally, and listen to what they actually need from you right now.

Topics: AI for teams, team AI adoption, managing through AI, AI leadership, AI for managers, employee AI adoption, AI team culture, AI change management, psychological safety AI, AI communication, job security AI, AI workforce, future of work, team AI strategy, manager AI role, AI engagement, AI rollout, AI implementation

Questions on this? Ask me in the Leadership Mindset 2.0 community on:

LinkedIn: https://www.linkedin.com/groups/8944058/

Facebook: https://www.facebook.com/groups/leadershipmindsetgroup

Mentioned in this episode:

AI Readiness Executive Briefing

In order to sign up for the AI Readiness Executive Briefing on June 11th, click the link below.

AI Briefing Registration

Most organizations are not losing the AI race because of bad technology. They are losing it because honest information about what is not working never reaches the people who can fix it.

You'll learn what you need to know to make sure your organization is successful in this new age of AI including;

- Why most organizations are sitting in the Exposed Quadrant, high AI spending and low organizational readiness, and the specific signs that tell you if that is where your company sits right now

- Why your AI governance policy is probably creating the shadow AI problem it was designed to prevent, and where the worst offenders actually sit in your org chart

- What Signal Speed and Action Speed are, why the gap between them is the hidden reason most AI projects stall, and what middle management has to do with it

- The four structural changes that separate the 5.5% of organizations in the Leaders Quadrant from the 94.5% still burning budget on endless pilot projects

- Why the highest-performing AI companies are not adding AI on top of existing workflows but redesigning from scratch, and what that means for how you need to build your team

YOUR CHALLENGE:

This week, score your organization honestly on the four things that determine AI readiness: how safe your people feel surfacing bad news upward, how empowered your front line is to make decisions without escalating, how many layers information has to travel through before it reaches someone who can act on it, and how your team actually responds when you tell them something is going to change.

Questions on this? Ask me in the Leadership Mindset 2.0 community on:

LinkedIn: https://www.linkedin.com/groups/8944058/

Facebook: https://www.facebook.com/groups/leadershipmindsetgroup

Mentioned in this episode:

AI Readiness Executive Briefing

In order to sign up for the AI Readiness Executive Briefing on June 11th, click the link below.

AI Briefing Registration