The AI conversation today focuses on systems. Which jobs will survive? How does education need to adapt? What happens to the economy when machines produce what humans used to? Governments are commissioning reports. Executives are restructuring. Educators are rewriting curricula.
These are urgent questions. But there is one that matters just as much, and it’s the one we can actually do something about: What happens to us? Not our roles. Not our output. Our relationships, our sense of purpose, and our ability to connect with each other as human beings.
I don’t pretend to have the answers to the economic and structural questions. But after two decades of working with leaders across 20 countries, I can see the writing on the wall, and what concerns me most isn’t which jobs disappear. It’s what disappears with them.
The questions we need to start connecting
Every major disruption from artificial intelligence cascades into a human connection problem, and until we name it, we can’t address it.
Entry-level jobs are disappearing
That’s a workforce pipeline problem, and it’s getting attention. But it’s also a relationship-development problem, and that part matters just as much. Entry-level roles are where people learn to work with people. Not the technical skills; AI can teach those faster than any training program. It’s where they learn the human skills needed for success. How to navigate a difficult colleague. How to earn trust when you have no authority. How to read a room, recover from a mistake, and build credibility one conversation at a time. If we eliminate the roles where those muscles get built, where do people learn to be someone others want to work alongside?
Knowledge is becoming universally accessible
When everyone has the same infinite pool of information, what differentiates us? Not what we know; AI knows more. What differentiates us is how we think, how we collaborate, and how we challenge each other’s assumptions. Critical thinking isn’t a solo act. It’s forged in our relationships: the mentor who pushes you further than you’d push yourself, the peer who disagrees respectfully (and sometimes not so respectfully!), the team that pressure tests your ideas until something even better emerges. If we’re all drawing from the same well of AI-generated knowledge, the risk isn’t just that we stop thinking critically. It’s that we lose the relationships that taught us how.
Education is being disrupted
If AI delivers knowledge more efficiently than a classroom, what is education actually for? Perhaps exactly what it’s always been for, not information transfer, but human development. The relationship between teacher and student that shapes who someone becomes. The peer group that teaches collaboration, empathy, and resilience. The mentor who sees potential before you see it yourself. If we reduce education to content delivery because AI can do that more cheaply, we lose the relational infrastructure that education has always provided.
The economic exchange of value is shifting
This is the question that keeps me up at night: If AI produces goods and services without human labor, how do people participate in the economy? How do we afford the things AI creates if the jobs that used to pay for them no longer exist? Economists will wrestle with this for decades. But underneath the economic question is a human one: What happens to dignity, purpose, and identity when contribution is decoupled from compensation? Work has never been just about money. It’s been about belonging to a team, a mission, a community of people who need what you bring. What happens when that belonging is no longer guaranteed?
The relationship infrastructure gap
The thread connecting all of these disruptions is one we need to start pulling at, now, not later. Every single one of them threatens the structures that currently bring people together.
Offices, teams, classrooms, career ladders . . . these aren’t just economic structures. They’re relationship infrastructure. They’re just some of the places where we form the connections that sustain us professionally and personally. And they’re all being reshaped simultaneously.
In my book Cultivate: The Power of Winning Relationships, I describe four relationship dynamics: Ally, Supporter, Rival, and Adversary. What distinguishes an Ally isn’t competence or information; it’s unconditional investment in their relationships. An Ally says: I do this not because of what you can do for me, not because of your title or your output, but because I’m invested in your success as a human being.
That dynamic has always been the foundation of high-performing teams, resilient organizations, and meaningful careers. In an AI world, it becomes the only foundation, because everything else that used to differentiate us is being automated.
Charlene Li, author of Winning With AI, puts it plainly: “Implementing AI is not a technology problem. It’s a people problem. It always is.” Her research has shown that the leaders struggling most with AI are those who built authority on knowing more than everyone else, hoarding information as a form of power. AI just democratized what they were hoarding. The leaders who are thriving are the ones who built authority on relationships and trust, who shifted from having all the answers to asking better questions.
That pattern isn’t limited to leadership. It’s a preview of a much larger shift. In an AI world, your value isn’t what you know. It’s who you are to the people around you.
The one thing AI cannot automate
This isn’t a doom piece. The disruption is real, and the questions are hard. But there’s a reason I’m not writing about economics or education policy. I’m writing about what I know: The quality of connection between human beings is the single most important variable in every system we’re worried about, and it’s the one we’re all still treating as optional.
The World Health Organization established a Commission on Social Connection because loneliness and disconnection have become global health crises, linked to a higher risk of stroke and heart disease, and contributing to an estimated 100 deaths every hour worldwide. This isn’t soft. This is structural.
The questions about jobs, education, and economics will eventually get answered. But the question about human connection won’t wait for a policy paper or a commission report. As Li, the author, shared with me: “The more we can center the use of AI around people and not so much around the technology, the better off we will always be.” That centering won’t happen on its own. It will be answered, or not, by all of us, in the choices we make every day about whether to invest in the people around us.
This isn’t a reskilling moment. The Industrial Revolution didn’t simply move people from farms to factories; it destroyed an entire way of working and living before the new one emerged. Cottage weavers didn’t seamlessly become factory workers. But even in that upheaval, the new world still needed human hands, human judgment, human presence. The AI disruption is different in kind, not just in scale. The new systems may not need us in the same way, or at all. That’s not a workforce planning problem. That’s an existential one.
And we can’t wait for someone else to solve this. This is something we all own, one conversation and one relationship at a time. The colleague you check in on. The peer you mentor. The friend you call when it would be easier to send a text. These aren’t small gestures. They’re the relationship infrastructure that bring us together.
And the only thing that has never been automated—the quality of connection between two human beings—might be the most important investment any of us can make.
