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In a New York Times story, Columbia Business School's Aamir Rehman, weighs in on why private equity deals to scale up beloved small restaurants are drawing pushback from loyal customers. When the partners behind Los Tacos No. 1, the acclaimed New York taqueria, accepted a multimillion-dollar private equity deal to expand, fans flooded social media with complaints that the business had sold out and would soon decline in quality. 

In a reflective Medium essay, writer David Suaza Cardona draws on research by Columbia Business School Professor Adam Galinsky to explore how travel shapes identity. After a trip to Taiwan, where he hiked Taroko National Park and explored Green Island, Cardona asks why he felt so much more at ease with himself abroad than in his everyday routine in Abu Dhabi. He suggests identity is a process rather than something fixed, and that new environments bring out traits that were "frozen" inside us. Galinsky's finding anchors that argument: people who live abroad and actively engage with foreign cultures consistently score higher in creative cognition and self-concept clarity.

WebProNews cites Columbia Business School economist Stijn Van Nieuwerburgh in its look at how the AI data center boom is creating demand well beyond the server halls. Van Nieuwerburgh calculates that annual AI-related construction investment could exceed 3% of US GDP between 2025 and 2032, a larger share than historical spending on railroads, the electric grid, or highways. That scale is creating a side economy for the thousands of construction workers who spend years on each site. National Jobsite Catering serves about 1,500 meals a day at each of its 12 data center sites and has grown its revenue tenfold in four years. WhereiPark leases temporary parking lots near builds.

In a Quartz report on Asia's debt-fueled AI infrastructure boom, Columbia Business School Professor Stijn Van Nieuwerburgh's research helps show how much borrowing is behind data center growth. In work for the Brookings Institution, Van Nieuwerburgh estimates that about $1.4 trillion of debt has gone into financing data centers, and that banks hold roughly half of it. The article covers Singapore-based Princeton Digital Group's push for a three-year syndicated loan of up to $1.2 billion, citing Bloomberg. The money would fund a 198.8-megawatt data center campus in Johor, Malaysia, and refinance existing debt. HSBC, Maybank, OCBC, Standard Chartered, and UOB are leading the deal. Earlier this year the company raised about $856 million for data centers in Indonesia, and it has set a $5 billion debt target for regional expansion.

POLITICO's Decoded newsletter looks at how Wall Street leaders are weighing the financial risks of the AI boom, and it cites Columbia Business School Professor Stijn Van Nieuwerburgh's research on the scale of the spending. In work published through the Brookings Institution, Van Nieuwerburgh estimates the cost of the AI buildout could exceed $10.3 trillion through 2032. Relative to the size of the economy, that's more than the US invested during its canal, railroad, electrification, highway, and telecommunications booms.

In an exclusive Business Insider report, Columbia Business School executive in residence and adjunct professor Len Sherman analyzes how much Uber pays its drivers in 16 US cities. The data comes from GigU, a third-party app that helps drivers evaluate trips, and covers about 1.8 million trip offers made between March 2025 and March 2026, including offers drivers declined. Sherman found big regional differences. In Orlando, Uber offered a median of 72 cents a mile, or $19.30 per active hour. In Los Angeles, the median was $2.15 a mile, or $46 per active hour. After accounting for driving expenses, typical trip counts, and trip distances, he estimates drivers in six cities earned less than the federal minimum wage of $7.25 an hour.

Writing in The Wall Street Journal, Columbia Business School accounting professor Shivaram Rajgopal explains how he teaches students to recognize and avoid the ethical missteps behind some of the biggest financial scandals in modern history. In his classes, Rajgopal walks students "step by step, decision by decision" through frauds like Silicon Valley Bank, WorldCom, Enron, and Theranos. He wants them to see how these scandals actually happened so they can avoid making the same mistakes. To make the lesson stick, he turns to a much older story, Shakespeare's "Macbeth." The play shows the slippery slope Rajgopal sees behind many corporate frauds, where one compromise leads to the next until wrongdoing feels normal.