{"id":2423,"date":"2026-06-28T13:42:02","date_gmt":"2026-06-28T13:42:02","guid":{"rendered":"https:\/\/crosscountrymovingteams.com\/?p=2423"},"modified":"2026-06-28T13:42:02","modified_gmt":"2026-06-28T13:42:02","slug":"this-ceo-became-3x-more-productive-with-ai-then-she-read-what-her-daughter-wrote-about-it-at-dartmouth","status":"publish","type":"post","link":"https:\/\/crosscountrymovingteams.com\/?p=2423","title":{"rendered":"This CEO became 3x more productive with AI. Then she read what her daughter wrote about it at Dartmouth"},"content":{"rendered":"
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Editor\u2019s note: Maria Colacurcio is the CEO of Syndio, <\/em>a decision intelligence company focused on pay<\/em>. Her daughter, Sofia Frei, just completed her first year at Dartmouth College. They wrote these essays independently.<\/em><\/p>\n

Read more More than a club: how Paris Saint-Germain took inspiration from the Barcelona slogan and the New York Yankees cap to create a global business brand<\/a><\/p>\n

Editor\u2019s note: Maria Colacurcio is the CEO of Syndio, a decision intelligence company focused on pay. Her daughter, Sofia Frei, just completed her first year at Dartmouth College. They wrote these essays independently.<\/em><\/p>\n

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Part One: Three Times the CEO I Was a Year Ago<\/h2>\n

by Maria Colacurcio, CEO, Syndio<\/p>\n

The strange part wasn\u2019t watching the AI do my work. It was reading my own voice come back to me in something I never wrote.<\/p>\n

I\u2019d spent the past year building agents to help run my company. Somewhere along the way, they learned to sound like me. Down to the tics. The short sentences. The way I trail off into a comma instead of landing the point. The weird little parentheses I drop where they don\u2019t belong (like this one).<\/p>\n

I read a draft one of them had produced and went looking for the seam between what was mine and what was the machine\u2019s, and couldn\u2019t find it.<\/p>\n

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That\u2019s when I sat back and thought: What have I done?<\/p>\n

What scares me isn\u2019t what AI can do. It\u2019s how quickly it becomes indispensable.<\/p>\n

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I had wanted this: I spent a year taking courses, building agents, and wiring these tools into how I think and run a 140-person company. It was working, faster and better than I thought it would. The thrill and the dread arrived in the same second.<\/p>\n

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I\u2019m not special in this. Right now millions of people are sitting where I sat, handing a piece of themselves to a machine and quietly deciding how much to trust what comes back.<\/p>\n

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So let me explain what I actually built, because the fear in that moment is worth understanding before we hand this technology to everyone.<\/p>\n

My work is about pay: who gets the raise, the offer, the promotion. For as long as we\u2019ve paid people, those decisions have been made quickly by human beings with their own blind spots. No one writes down why, and the consequences compound over time.<\/p>\n

What I build now does something we\u2019ve never been able to do: it captures the why. A person makes the decision. The system preserves the reasoning alongside the outcome. For the first time, we can ask whether our judgment was any good. Decisions that used to vanish now leave a trail. Bias that used to hide behind a confident face becomes something you can see.<\/p>\n

The same tools draft and model in an afternoon what used to consume a month. On a good day, I\u2019m three times the CEO I was a year ago.<\/p>\n

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So I didn\u2019t keep it to myself. I gave my leaders the same charge: learn these tools, build with them, come along quickly, because the distance between the people who do and the people who wait is going to be brutal. I believe that.<\/p>\n

I\u2019m all in. But I don\u2019t have everything answered, and I want to be honest about that, because the people selling this rarely are. I built my agents for a purpose I chose, in a company I control. That\u2019s a confined, lucky version of this technology. It\u2019s not the version most people are going to meet.<\/p>\n

My daughter may never have that choice. My daughter is about to meet the other one. She\u2019s 19. She didn\u2019t choose this, she didn\u2019t get to set the guardrails, and the AI in her life isn\u2019t a tool she built at a kitchen table. It\u2019s in her search bar, her classroom, her feed, running whether she agrees to it or not.<\/p>\n

When I listen to her explain what she\u2019s afraid of, I don\u2019t think she\u2019s wrong. I think she\u2019s describing the same technology I\u2019m building, stripped of protections. That\u2019s what I sit with.<\/p>\n

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A 2026 Wharton study by Steven Shaw and Gideon Nave found that when participants consulted ChatGPT, they adopted its answer more than 80% of the time\u00a0even when the AI was wrong. The researchers coined the term \u201ccognitive surrender\u201d to describe the tendency to defer to AI outputs rather than engage in independent reasoning.<\/p>\n

I\u2019ve felt that pull myself: the urge to accept the good-enough answer and skip the part where I\u2019d normally check the work. That complacency scares me.<\/p>\n

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The thing that frightens me isn\u2019t that machines will replace people. It\u2019s that people may quietly stop thinking while the machine keeps going.<\/p>\n

Read more LinkedIn says real estate is one of the hottest industries for entry-level workers\u2014One Gen Z sales agent made $75K his first year with no experience<\/a><\/p>\n

Underneath all of this is something I don\u2019t say in board meetings: the power of this technology is intoxicating. And intoxicating is the right word, because it can make you three times as capable \u2014 and half as careful at the same time.<\/p>\n

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That\u2019s the thing I want my daughter to catch me on. It\u2019s the thing I hope her whole generation refuses to let the rest of us forget.<\/p>\n

Part Two: I Don\u2019t Want AI to Think for Me<\/h2>\n

by Sofia Frei<\/p>\n

This is my first technological revolution.<\/p>\n

I just finished my first year at Dartmouth College. When I was 14, I imagined college as a place where I would disappear into books, write long papers, and spend hours wrestling with ideas that couldn\u2019t be explained in a few sentences. I couldn\u2019t wait for the freedom to study whatever I wanted.<\/p>\n

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Instead, I arrived on campus just as artificial intelligence arrived everywhere.<\/p>\n

My school is launching AI initiatives. Professors are rewriting assignments and grading rubrics. Students are experimenting with ChatGPT and Claude. Every conversation about the future seems to begin with the same assumption: AI is coming, so we\u2019d better adapt. What surprises me is how little confidence anyone seems to have about what exactly we\u2019re adapting to.<\/p>\n

My mother, Maria Colacurcio, is the CEO of Syndio and one of the people leaning into this moment \u2014 she has spent the past year building AI agents and thinking deeply about how these tools might improve decision-making. I get the appeal. Used thoughtfully, she argues, AI can help us organize information, spot patterns, and even challenge our assumptions.<\/p>\n

But I find myself asking a different question. What happens when we stop knowing whose judgment we\u2019re even relying on?<\/p>\n

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One of the arguments I hear from adults is that AI will make us more productive. It will help us write faster, research faster, learn faster, work faster. If we want jobs after graduation, we\u2019re told, we need to become fluent in it. Take the courses. Earn the certificates. Learn to build agents. And maybe they\u2019re right. But every time I open one of these tools, I feel a pit in my stomach.<\/p>\n

Part of it is worry about what it\u2019s doing to the environment. Part of it is concern about the artists, writers, musicians, and creators whose work was used to train these systems. Part of it is whether it\u2019s really me doing the work. And part of it, I\u2019ll admit, may simply be fear of change.<\/p>\n

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But I think a larger part is something harder to articulate. It feels as though we\u2019re racing to hand over parts of our thinking before we\u2019ve fully understood why those parts mattered in the first place.<\/p>\n

I started talking with friends about this. For a project on generational views on AI in a \u201cSystems Reporting\u201d class, I interviewed dozens of students. Almost all of them use AI in some way. Few believe it\u2019s going away. Yet many described the same feeling: if everyone else stopped using it tomorrow, they would too.<\/p>\n

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It reminded me of something I\u2019ve heard a lot from people my age. \u201cI\u2019d totally get a flip phone if everyone else did.\u201d There\u2019s a strange nostalgia among young people for things we barely experienced ourselves. Maybe that\u2019s because we\u2019ve already seen what happened when social media promised connection and delivered isolation. We\u2019ve grown up inside an experiment that adults didn\u2019t fully understand when they launched it. Now we\u2019re being told to embrace another one.<\/p>\n

The question isn\u2019t whether AI will become part of our lives. It already has. The question is whether we\u2019re adopting it because it genuinely improves our lives \u2014 or because opting out feels impossible.<\/p>\n

What worries me most isn\u2019t that AI will become smarter than humans. It\u2019s that convenience will become more important than struggle. Learning is frustrating. Creativity often begins with boredom. Good relationships require patience, conflict, and misunderstanding. Growth comes from wrestling with uncertainty long enough to form your own conclusions. AI removes that friction. That\u2019s what makes me uneasy. It\u2019s easier to vent to an AI chatbot than to a friend. It\u2019s easier to summarize a book than read it. It\u2019s easier to generate an answer than sit with a difficult question. But inconvenience is often the price of being human.<\/p>\n

My mother\u2019s generation is asking how AI can help us make better decisions. My generation is asking something different: how do we make sure we\u2019re still making them?<\/p>\n

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I\u2019m not anti-AI. If these tools help cure diseases, advance science, or solve problems beyond human capability, that would be extraordinary. But before we rush to automate every conversation, every assignment, every customer interaction, and every corner of daily life, we should ask: what are we gaining, and what are we giving up?<\/p>\n

Because if we\u2019re not careful, the risk isn\u2019t just that machines will think for us. It\u2019s that we\u2019ll gradually forget why thinking mattered in the first place.<\/p>\n

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of <\/em>Fortune.<\/em><\/p>\n

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As Maria Colacurcio embraced AI to transform how she works, her daughter Sofia Frei began questioning what society might lose in the process.\u00a0<\/p>\n","protected":false},"author":1,"featured_media":2422,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[53],"tags":[],"class_list":["post-2423","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-leadership"],"yoast_head":"\nThis CEO became 3x more productive with AI. 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