What AI can't change

Start with where Georgia stands on AI, because it matters: she's genuinely energized by it. She describes it as a fantastic tool — an exponential augmentation of what a person or a team can do, and a chance to solve old problems in new ways. Nothing that follows is a brake on any of that.

It's the opposite. Precisely because the tool is this powerful, she finds it striking how rarely anyone asks the companion question — not what AI will change, but what it won't. Part of why we skip it is social: nobody wants to be seen as old school, behind the curve, the one who missed the boat. So a kind of group-think takes hold, and the fear of missing out does the rest.

The deeper version is organizational. Companies without real clarity on their purpose — on who their customer is and what that customer actually values — are, in her words, blowing in the wind. They reach for AI hoping it will answer the questions they were always meant to answer themselves.

That's the through-line of the whole conversation. A tool is at its best when you point it at the right problems — and you can only do that if you're clear on what those problems are. The teams getting the most out of AI, in her experience, aren't the ones using the most of it. They're the ones who know exactly what they're trying to do with it.

So the fundamentals don't go anywhere. Purpose, the customer, how you create value — those are still yours to define, and they're what tells the tool where to go. Get them right and AI becomes an accelerator. Skip them, and even the best technology just helps you move faster in a direction you never chose.

One distinction Georgia kept returning to reframes the fear most people are carrying. Everyone talks about being replaced by AI. The word she thinks matters more is irrelevant — and the two are not the same.

When you're replaced, she explains, the value of what you did is still there. The work still has to be done; someone or something else simply does it. When you become irrelevant, what you were doing has no value anymore. The world keeps moving and the thing simply doesn't matter. That, she says, is the bigger risk — because as humans, we need to feel that what we do has value.

For leaders, the practical move is to start with the work itself. What is the work? How will it be different with AI embedded across it? That is the real conversation — not a panicked sweep to delete jobs that look redundant, only to discover later they weren't, and that you've quietly sabotaged your own economics in the process.

And what makes a leader irrelevant? The fastest route, Georgia says, is reverting to manager behaviors: authoritative, measurement-obsessed, distrustful of the team. The second is becoming so inward-focused and navel-gazing that you miss the trends and the shifts in sentiment entirely. (Her own early-warning system: watching how her kids and grandkids make decisions and use technology — a live preview of where things are heading.)

AI is brilliant at synthesizing information and presenting it back in a consumable way. But the visioning, the learning, the deciding what kind of world we want to build — those remain human. The goal, she says, is for us to be driving AI, not the other way around.

Georgia calls relationship building non-negotiable. But she knows the phrase carries baggage — people hear it and picture networking, politicking, the faintly sleazy work of trying to be liked. That's not what she means at all.

What she means is simple. Be clear about your own goals. Share them openly. Then ask the people around you what problems they're trying to solve, and how you might help. Do that, she says, and ninety-nine times out of a hundred people open up — and you've found the common ground that real relationships are built on. Trust accumulates from there.

She calls this her not-so-hidden agenda — and she means it as the opposite of the old instinct to hoard. The people who guard their knowledge as leverage have misread the moment; things change too fast for hoarded knowledge to hold its value. The most successful people she has seen are the open ones, who say plainly what they're working on and what they need.

There's a related idea about networking and the work itself. You don't build a network as a separate activity, she says — you build it by doing your job well, in the open, alongside other people. Nobody works in isolation. Do the work visibly and the network is the byproduct.

The hard part is vulnerability. Sharing your goals exposes you a little; showing that you don't have all the answers is genuinely difficult in a corporate environment built on self-protection. But that exposure is the mechanism. Trust is reciprocal, and someone has to go first. Usually that someone is the leader.

Purpose runs through everything Georgia says, and she's clear about why it matters more now, not less. The world is more complex, the choices more numerous, the noise louder. Clarity of purpose is what lets you cut through it.

She describes purpose as a filter — the thing that lets you screen out what doesn't matter, isn't relevant, isn't yours to chase. Organizations have always struggled to say no; they watch competitors and conclude they have to do the same thing, even when it has nothing to do with their core. She points to Steve Jobs, who reportedly said no far more than he said yes — because anything not tied directly to Apple's product and customer experience didn't make the cut.

The risk she sees with AI is precisely here. Quantity has gone up dramatically, and people now assume quality will simply keep pace. It won't. Diluting your effort across more things you were never meant to do isn't progress; it's the old trap, accelerated.

Purpose is also how she reads the younger workforce — the people she mentors, and her own kids. They are not less committed or less willing to work hard. They simply won't accept four decades in a cubicle without meaning behind it. They value flexibility and they value work that matters, and the interview has become a two-way street: they're deciding whether to work for you as much as you're deciding whether to hire them. Leaders who treat that as a threat will watch that talent walk.

The answer, she says, is to make the linkage visible — to build team objectives that tie directly back to the organization's purpose, so a person can look at what they did and see that it mattered. Because in the end, we all want the same thing — to have an impact, and to see the connection between what we do and why it matters.