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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.<\/p>\n
These are urgent questions. But there is one that matters just as much, and it\u2019s 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.<\/p>\n
I don\u2019t 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\u2019t which jobs disappear. It\u2019s what disappears with them.<\/p>\n
Every major disruption from artificial intelligence cascades into a human connection problem, and until we name it, we can\u2019t address it.<\/p>\n
Entry-level jobs are disappearing<\/strong><\/p>\n That\u2019s a workforce pipeline problem, and it\u2019s getting attention. But it\u2019s 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\u2019s 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?<\/p>\n Knowledge is becoming universally accessible<\/strong><\/p>\n 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\u2019s assumptions. Critical thinking isn\u2019t a solo act. It\u2019s forged in our relationships: the mentor who pushes you further than you\u2019d 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\u2019re all drawing from the same well of AI-generated knowledge, the risk isn\u2019t just that we stop thinking critically. It\u2019s that we lose the relationships that taught us how.<\/p>\n Education is being disrupted<\/strong><\/p>\n If AI delivers knowledge more efficiently than a classroom, what is education actually for? Perhaps exactly what it\u2019s 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.<\/p>\n The economic exchange of value is shifting<\/strong><\/p>\n 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\u2019s 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?<\/p>\n 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.<\/p>\n Offices, teams, classrooms, career ladders . . . these aren\u2019t just economic structures. They\u2019re relationship infrastructure. They\u2019re just some of the places where we form the connections that sustain us professionally and personally. And they\u2019re all being reshaped simultaneously.<\/p>\n In my book Cultivate: The Power of Winning Relationships<\/em>, I describe four relationship dynamics: Ally, Supporter, Rival, and Adversary. What distinguishes an Ally isn\u2019t competence or information; it\u2019s 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\u2019m invested in your success as a human being.<\/p>\n 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.<\/p>\n Charlene Li, author of Winning With AI<\/em>, puts it plainly: \u201cImplementing AI is not a technology problem. It\u2019s a people problem. It always is.\u201d 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.<\/p>\n That pattern isn\u2019t limited to leadership. It\u2019s a preview of a much larger shift. In an AI world, your value isn\u2019t what you know. It\u2019s who you are to the people around you.<\/p>\n This isn\u2019t a doom piece. The disruption is real, and the questions are hard. But there\u2019s a reason I\u2019m not writing about economics or education policy. I\u2019m writing about what I know: The quality of connection between human beings is the single most important variable in every system we\u2019re worried about, and it\u2019s the one we\u2019re all still treating as optional.<\/p>\nThe relationship infrastructure gap<\/h2>\n
The one thing AI cannot automate<\/h2>\n