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AI Isn’t Replacing Jobs. It’s Rewriting Them One Task at a Time.

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The conversation about artificial intelligence and the future of work is everywhere right now. Much of that conversation focuses on a single question: Will AI replace jobs? It turns out that question may be the wrong one.  The better question is: Which parts of our work are machines beginning to do? A recent labor market analysis from Anthropic offers one of the clearest looks so far at how AI is actually being used across the economy. Researchers analyzed millions of real interactions with their AI system to understand how people are applying the technology in their daily work. What makes this moment different from past technological shifts is the speed. Adoption is happening across industries in months, not years or decades. What they found is both reassuring and disruptive. AI is not primarily replacing entire jobs. It is replacing pieces of them. That distinction matters more than most people realize. Jobs Are Bundles of Tasks Most jobs are not a single activity. They are colle...

Five Capabilities That Will Still Matter in an AI-Accelerated World

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  One of the biggest mistakes we are making right now is assuming the workforce will adapt to artificial intelligence as quickly as the technology itself. It won’t. AI is advancing at a pace that businesses, institutions, and labor markets are still struggling to absorb. Technology cycles that once unfolded over decades are now happening in months. Organizations are experimenting, restructuring, and trying to understand what this means for productivity, hiring, and the future of entire industries. In moments like this, people often ask a version of the same question: What human skills will still matter five years from now? The typical answers are empathy, creativity, and judgment. Yes, those qualities matter, but they are difficult to translate into a practical career strategy. You can't simply list “empathy” on a résumé or build a development plan around “be more creative.” A more useful lens is to focus on capabilities that create leverage in an AI-accelerated environment, while ...

When “Stable” Isn’t Stable: The Hidden Toll of Long-Term Unemployment

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Recent government data suggests the job market is stabilizing. Headlines point to modest job growth. The unemployment rate appears steady. But for roughly 1.8 million Americans, those headlines offer little comfort. Today, about 1 in 4 unemployed workers has been searching for six months or longer. That is the highest share in years. Behind that number are professionals who did everything “right” and are still waiting. A recent CNBC story captured this reality through the experience of a 47-year-old IT professional who lost her corporate job more than a year ago. Her six-figure income dropped to gig work. She moved in with friends to cut costs. She continues applying, interviewing, recalibrating. She described the experience as “a mental war.” That phrase matters. Long-term unemployment is not just a financial event. It is psychological. It reshapes identity. It tests confidence. It alters daily rhythms and future plans. In my book Redefined , I profiled five individuals navigati...

Something Big Is Happening.

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Over the last couple of weeks, a phrase has been circulating across podcasts, executive briefings, and LinkedIn feeds. It began with an essay by Matt Shumer that went viral in early 2026. The title was direct: “Something Big Is Happening.” His argument was that artificial intelligence has crossed a meaningful threshold. Not theoretical. Not experimental. Operational. This is not about holograms, CES robots folding your clothes. It is about real work being reshaped in real time. When I read it, I did not feel alarmed. I felt recognition. This is what I have been talking about. Not fear. Not hype. Pattern recognition. Technology is moving quickly. Business models are not moving at the same pace. Colleges are not redesigning curricula at the same velocity. Workforce development systems are not recalibrating fast enough. That gap between technological capability and institutional adaptation is where disruption lives. And that gap is widening. Artificial intelligence is no longer som...

One Year After the Layoff: What I Know Now That I Didn’t Then

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One year ago today, I was laid off. I remember the moment with uncomfortable clarity. The meeting. The phrasing. The strange mix of professionalism and finality. The abrupt shift from being essential to being expendable in the span of a few sentences. At the time, I didn’t know how to talk about it. I didn’t know how to explain the disorientation that follows job loss, especially when it comes after decades of building a career, an identity, and a sense of purpose around work. What I know now is this. The layoff was not just an ending. It was an unraveling. And eventually, a redefinition.  Lesson One: Job Loss Is an Identity Shock, Not Just a Financial One We talk about layoffs as economic events. Budget cuts. Restructuring. Market shifts. Those explanations may be accurate, but they are incomplete. Job loss disrupts identity. It forces you to confront questions that rarely surface when things are stable. Who am I without this role? What am I worth without the title? What parts of ...

The Transformative Impact of AI on Entry-Level Roles

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Artificial intelligence is reshaping the job market, and its effects are being felt most acutely at the entry level. A recent analysis from labor research firm Revelio Labs found that overall job postings have declined roughly 35% since January 2023. Entry-level roles, often the first rung on the career ladder for recent graduates, appear to be among the hardest hit. “The entry-level careers of recent graduates are most affected, which could have lasting effects as they continue to grow their careers with less experience while finding fewer job opportunities,” said Karoline Humlum, a researcher at Revelio Labs. For early-career workers, fewer openings today can translate into slower skill development and fewer opportunities to build the experience that fuels long-term growth. Some industry leaders believe this trend could intensify. Anthropic CEO Dario Amodei has suggested that as AI becomes more capable, as many as half of today’s entry-level jobs could eventually be automated. These ...