This episode answers a question every leader deploying AI needs to ask: why do two people get wildly different value from the exact same AI model?

A new MIT Sloan and Stanford study asked 1,000 adults to write their own prompts asking GPT-5.2 and Gemini 3 Flash for financial advice, then simulated a lifetime of following it. The advice was strong across the board, but people with sharper financial literacy wrote sharper prompts, and that gap alone was worth roughly five percent more wealth at retirement.

Soren breaks down why the researchers call this a "demand" problem, not a model problem, and why smarter AI won't close the gap on its own, it will widen it. He connects the finding to what's happening inside companies right now, where employees who frame clear, detailed prompts get measurably better output than those who don't, and argues that asking a sharp question has become a core business skill, not just a personal finance one.

Leaders walk away with three moves: teach people to frame requests with real numbers and goals before they need the answer, practice the asking itself on a live example rather than the topic in the abstract, and tie every lesson to a real decision, like a job offer or a budget call, so it sticks.

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View original on Inc. Magazine: MIT and Stanford Found a 5 Percent Retirement Gap. It Comes Down to Asking Better Money Questions

NBC News and The Washington Post reported on a cluster of side effects from GLP-1 drugs being called “Ozempic personality” — a reduction in drive and motivation to seek activities users once enjoyed. One in eight American adults is currently on a GLP-1 drug, according to a November 2025 KFF Health Tracking Poll. GLP-1 receptors are distributed throughout the brain’s emotional and motivational centers, including the dopamine pathways that drive effort and reward-seeking. Derek Daniels, PhD at the University at Buffalo, says in animal models these drugs “turn down almost any motivated behavior that we can imagine.”

Soren Kaplan breaks down the direct business implications: a meaningful share of the workforce is operating with a neurologically recalibrated motivation system, and the recognition programs, team rituals, and incentive structures most organizations rely on were designed without that in mind. University of Michigan neuroscientist Kent Berridge’s distinction between “liking” and “wanting” explains the mechanism: GLP-1 drugs appear to reduce the wanting signal — the dopamine-driven drive that makes a bonus feel worth competing for and a team celebration feel worth attending. Swiss chocolatier Lindt’s 2025 purchase data from GLP-1 households showed a “less is more” shift already appearing in consumer behavior.

The episode covers three leadership actions: auditing whether recognition programs rely on dopamine triggers or intrinsic motivators, redesigning team rituals to include non-food-centered alternatives that speak to meaning and purpose, and asking employees what actually resonates rather than running the same motivational playbook for everyone.

View original on Inc. Magazine: Ozempic Might Be Making Your Team Less Driven. Here’s the Science

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Learn more about Soren’s work at sorenkaplan.com.

Three Michelin stars. A reservation list stretching months in advance. Thomas Keller built the French Laundry into a Napa Valley landmark over three decades. In March 2026, former dishwasher Elena Flores Beteta sued the Thomas Keller Restaurant Group, alleging she and more than 50 coworkers worked off the clock, had hours shaved, were denied breaks, and weren’t paid for all time worked. Two more lawsuits followed — three cases in three months. The restaurant group denied all allegations. But the pattern tells a story every leader should understand.

Soren Kaplan unpacks the leadership lesson hiding inside the French Laundry story: this is the invisible gap between what customers see from the outside and what workers experience to deliver it. Researchers at Northwestern and Rutgers found roughly one in four restaurant workers in Los Angeles was paid below minimum wage in 2024, and most never came forward. The legal filings that surface are the visible edge of something wider. Zuma restaurant paid $1.8 million to settle Massachusetts state wage investigations in 2025. Disney has faced the same pattern. The counter-model is Costco — built on the principle that employee conditions and customer experience are the same management problem, not two separate agendas.

The episode covers three actions to close the gap: conducting unscheduled back-of-house audits with frontline workers directly, building above legal compliance rather than stopping at the floor, and measuring frontline employee sentiment with the same discipline applied to customer Net Promoter Score.

View original on Inc. Magazine: French Laundry: 3 Michelin Stars, 3 Lawsuits, and 1 Leadership Blind Spot

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California's largest lake, the Salton Sea, has shrunk by seventy square miles as water gets diverted to cities and farms instead. Desert wind now lifts pesticides and heavy metals off the exposed lakebed and carries them into towns across the Imperial Valley, and researchers at USC and UC Irvine found the dust is stunting lung growth in local kids. The state is racing to cover thirty thousand acres of shoreline by 2028.

Soren breaks down why the lake's collapse is really a story about hidden support. The Salton Sea only stayed full because farm runoff poured into it for a hundred years, burying contaminants that were there from the start. He connects that to New York Community Bancorp, whose loan book looked rock solid only because cheap money kept property values climbing, until rising rates exposed the risk that had been sitting there all along.

Soren lays out three moves for leaders: name the outside support propping up your best-looking asset, test how that asset performs without it, and clean up the risk early while you still control the timing.

View original on Inc. Magazine: A Toxic Dust Crisis Is Unfolding in California. The Leadership Lesson Is Hard to Ignore

A Baylor College of Medicine pediatrician told Texas lawmakers this week that high school seniors are legally carrying Vegas in their pockets. She was describing prediction market apps like Kalshi and Polymarket, where 18 year olds bet real money on sports, elections, and pop culture outcomes. The Texas Medical Association wants the minimum age raised to 21.

In this episode, Soren breaks down why an age limit only delays the problem instead of solving it. The real gap is financial literacy. Research shows most teens have never heard of a FICO score, and one semester of personal finance education is worth roughly $100,000 per student over a lifetime. The same gap shows up in how young employees perform at work.

Leaders will walk away with one concrete action: pick one young person you are responsible for, your own teenager or your newest hire, name the single financial skill they need most, and spend twenty minutes this week teaching it.

View original on Inc. Magazine: This One High School Class Is Worth $100,000—And Most Students Still Don’t Take It

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Learn more about Soren's work at sorenkaplan.com.

More than 1,100 companies gathered in Shanghai this past July for the World Artificial Intelligence Conference. State media confirmed that Chinese firms have now built more than 400 different humanoid robot models, over half the world's total, with annual output projected to top 100,000 units this year.

Soren Kaplan breaks down why most leaders are watching the wrong scoreboard. China's best AI model may not beat America's best model yet, but DeepSeek trained its R1 model for roughly $6 million against a reported $100 million for comparable U.S. systems, and Unitree already sells a full-size humanoid for under $6,000. You don't lose to a rival's best product. You lose to their good enough product at a price you can't match.

Soren lays out three moves for leaders: change your scoreboard to measure cost and volume, not just flagship performance, put your team physically inside a competitor's market to see the scale firsthand, and track adoption instead of announcements to spot your real rivals.

View original on Inc. Magazine: The FCC Just Banned Chinese Humanoid Robots. That’s Not the Story Business Leaders Should Focus On

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Learn more about Soren's work at sorenkaplan.com.

Researchers at Stony Brook, Columbia, and the University of Michigan tracked 14,419 self-published novels sold on Amazon from 2023 through mid-2026. Books flagged as mostly AI made up 20 percent of the catalog but earned only 11 percent of revenue. Quarterly book sales grew 19-fold while revenue grew less than 9-fold, and titles in Kindle Unlimited lost the most ground of all.

Soren Kaplan breaks down what the data actually proves. This isn't AI replacing better human work, it's a flood of cheap substitutes diluting the return on every product in the market, including the best ones. Revenue per human-only book fell 17 percent even as AI titles kept losing on quality, and the same payment dilution effect is already showing up in music, where Deezer reports more than half its daily uploads are fully AI-generated.

Soren lays out three moves for leaders facing the same dynamic. Own your audience so discovery doesn't run entirely through a pool competitors can flood. Make what's human and verified in your work visible to customers. Audit how cheaply a good-enough version of your product could now be made, and how much of your demand flows through a platform you don't control.

View original on Inc. Magazine: New Research Says the Biggest Risk to the Book Market Isn’t AI, but Dilution

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Learn more about Soren's work at sorenkaplan.com.

A Los Angeles jury found Meta negligent for designing Instagram and Facebook to hook young users, awarding 6 million dollars in damages and assigning Meta 70 percent of the fault. Meta has filed an appeal, and the case is the first verdict in a coordinated proceeding covering thousands of similar claims.

Soren Kaplan breaks down why this verdict changes how engagement gets judged. The features product teams celebrate, infinite scroll, autoplay, endless recommendations, are the same features now used as evidence of negligent design, and the same legal theory is already reaching AI chatbots like Character.AI and OpenAI.

Soren lays out three moves leaders can make now: audit which metrics are actually driven by compulsion, measure whether customers are genuinely better off rather than just returning, and name the specific engagement mechanics you could defend in front of a jury.

View original on Inc. Magazine: https://www.inc.com/soren-kaplan/the-same-legal-theory-used-against-meta-is-now-coming-for-ai/91380693

Subscribe on YouTube: https://www.youtube.com/playlist?list=PLU3e5k8HJeOGEa7AGA97kvVjtpi6uqG0t

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Listen on Apple Podcasts: https://podcasts.apple.com/us/podcast/leapfrogging-the-headlines-with-soren-kaplan/id1896880297

Learn more about Soren's work at sorenkaplan.com.