In Part I of Leading in the Age of AI, we looked at the pressures surrounding you as the CEO. We made the case for this age of AI shining a light on a pre-existing leadership capacity problem.

CEOs wrestle with these questions: What is my organization’s readiness and resilience to this new age? How does my team lead through this? How do I show up to lead through this? What do I need to change? What are the right priorities?

I hear these question and versions of them daily. Last month, I asked a room full of executives to raise a hand if they’d used AI that week. Every hand went up. Then I asked who felt like they actually knew what they were doing with it. Four hands stayed up. Mine was one of them, and I was stretching the truth a little.

The questions and pressures are landing squarely on top of five of your enduring responsibilities: the five jobs I named in Part I. Setting direction. Aligning your team. Allocating resources. Removing what’s in the way. Modeling the behavior you want to see. Let’s break down each one and show how AI is reshaping the expectations around it.

Setting Direction: AI Forces Clarity

AI accelerates everything: good decisions, bad decisions, and a lack of decisions. Leaders who hesitate create ambiguity and confusion. Leaders who overpromise create chaos.

Setting direction now requires:

• A clear stance on AI experimentation
• A defined boundary for risk
• A narrative your teams can repeat

Aligning Teams: AI Creates Execution Drift

On most teams right now, a few people are already deep into AI usage, and the rest haven’t opened the tool. This is an alignment problem. The same one you had before AI showed up, just easier to see now. Alignment is when the leadership team understands and commits to the direction set; the same vision and priorities so they can steer in one direction. Without it, departments drift apart, communication breaks down, and growth stalls. Alignment can happen when the CEO sits with the whole team and decides what “good” looks like here, for us, on this.

Alignment now means:

• Establishing shared language
• Defining what “responsible use” looks like
• Creating cross-team visibility into experiments

Allocating Resources: AI Changes the Math

AI shifts the economics of work:

• What used to take hours now takes minutes, yet needs to be reviewed
• What used to require a team now may require a workflow
• What used to be expensive is now within reach

Removing Obstacles: AI Reveals Friction

Most of the AI use already happening inside your company is happening without your policy, your blessing, or your knowledge. This is true in many small and mid-market companies because no one has told your team what’s allowed and what is not.

Most people just aren’t sure if and when they should be using AI, so they may hide the usage. This creates a new obstacle. Your people deserve straight answers about what’s safe and what isn’t in this evolving shift.

Real AI governance shows up as your team determining plainly where the lines are, and your people sharing AI use cases and wins instead of hiding them. A policy document sitting in a folder doesn’t do that. Your responsibility to remove obstacles now often means redesigning the path, not just clearing it.

AI exposes:

• Outdated and ill-defined processes
• Slow decision cycles
• Governance gaps

Modeling Behaviors: AI Requires Visible Leadership

A leader who wants a tool that flatters will easily find one. A leader who wants a partner that pushes back, challenges, and helps them raise the bar must intentionally create that. The leader has to ask for that, on purpose, every time. Your team is watching which one you chose, regardless of what you’ve asked them to do.

Let’s remember, with core values, ethics, and AI, your team will adopt what you do and what you accept. The leaders who move their teams do three things, consistently:

• Use AI to challenge their own assumptions
• Share their own experiments, publicly
• Demonstrate responsible use themselves

That’s what spreads. A policy doesn’t.

Go back to that room I mentioned earlier. The one where only four hands stayed up. Same five jobs. AI just makes it obvious who’s actually doing them. Raise your hand first.