AI Didn't Disrupt Your Workplace. It Rebuilt the Foundation
I was standing on Mount Etna in September when it erupted.
Not the catastrophic kind, but the slow, persistent kind. Lava bubbling up, creeping outward, swallowing everything in its path. No one was in any serious danger, but the ground beneath us was permanently changed.
Etna’s last major eruption in 1669 moved slowly enough that everyone got out alive. But it buried towns, erased roads, and reshaped the entire coastline. The landscape didn’t recover for 300 years.
That’s where we are with AI.
The eruption has already happened. The lava is flowing. And the infrastructure of how we work - how we lead, decide, and organize, is being rebuilt beneath our feet.
Here’s What I’m Seeing
I’ve talked to over 50+ leaders in the last quarter. All of them are being asked to:
Decide whether to trust tools they don’t (always) fully understand and defend that decision if it backfires
Manage teams who are experimenting with AI faster than policy can keep up
Justify headcount, performance, and output in environments where work is increasingly invisible
Stay calm and confident while privately questioning whether they’re already behind
But when I ask what’s changed in how they’re supported? Silence.
Same frameworks. Same decision rights. Same metrics. Same leadership development programs built for a world that no longer exists.
A VP told me last week: “I’m supposed to lead an AI-powered team, but no one’s told me what that actually means. Do I review the AI’s work? Do I trust it? Do I tell my team to use it more, or less? I have no idea, and I’m the one accountable when it goes wrong.”
That’s the gap.
Not between “AI skeptics” and “AI believers,” but between what organizations now expect from leaders and what leaders are actually equipped to deliver.
Why This Feels So Disorienting
Every infrastructure shift triggers the same pattern.
When electricity arrived, people who could afford it still refused to install it for years. They feared what they couldn’t see. It was invisible, poorly understood, and required them to trust something new.
AI is in that exact moment. Invisible. Misunderstood. Already reshaping everything.
But here’s the difference: electricity took decades to become standard. AI is moving in months. The lava doesn’t wait.
What Actually Needs to Change
If you’re leading right now, you’re not managing a temporary disruption. You’re navigating a permanent shift in terrain. The real shift isn’t about speed. It’s about exposure.
Leaders are operating in environments where:
Outcomes are partially shaped by tools they didn’t build
Governance lags behind experimentation
Metrics no longer tell the full story
Confidence is expected before clarity arrives
This isn’t evolution; it’s a structural shift.
That’s not a skills gap. That’s an infrastructure gap.
And most organizations are still asking leaders to operate on old infrastructure while being accountable for new-world results.
The Work That Matters Now
This isn’t about embracing AI. It’s about rebuilding the leadership infrastructure required to operate in this new terrain, because here’s the risk most organizations are underestimating: when expectations rise faster than capability, the cracks don’t show up dramatically. They show up in:
Leaders hesitating in rooms where decisiveness used to come easily
Managers pulling control tighter because uncertainty feels risky
High performers withdrawing rather than admitting they’re unsure
Attrition and execution failure come later.
If you’re seeing that pattern already, it’s not random.
It’s the gap. And it’s solvable.
If this is happening inside your organization, I’m having a limited number of conversations with leadership teams and HR partners about how to close it - practically, not philosophically.
Message me directly if you want to explore whether it’s the same pattern.
P.S. If this resonated, forward it to a leader who’s navigating the same shift. None of us are figuring this out alone.