Press Release Archive

Columbia Business School professor Michael Morris tells the Associated Press that Elon Musk's strategic mind may have led him to believe he could take control of politics, after Musk spent at least $445 million on the midterms.

Columbia Business School professor Pierre Yared, a former acting chair of the Council of Economic Advisers, joins The Economist to talk about economic progress.

Global Family Enterprise Program to Expand Teaching, Research, and Impact with Support of Two New Gifts

Social Security's looming funding crisis is the fiscal problem Americans feel most. In The Economist, economist Glenn Hubbard argues that a citizens' assembly, a randomly chosen group of voters asked to weigh reform directly, could get past partisan gridlock the way similar assemblies have in Europe.

Brett House discusses how Canada can unlock more domestic investment in startups and high-growth companies.

Stijn Van Nieuwerburgh featured in The Wall Street Journal on the economics of the AI investment boom. His research is cited as the basis for an estimate that AI companies would need to generate roughly $3.5 trillion in annual revenue by 2032—about 8.8% of U.S. GDP—to justify the enormous capital being invested in AI infrastructure. 

Pierre Yared, MUTB Professor of International Business , Economics Division, and Vice Dean of Executive Education is quoted in this Project Syndicate piece, “The OECD Should Be Reclaimed, Not Abandoned” (October 1, 2026).

Michael Morris, Chavkin-Chang Professor of Leadership, Management Division is the author of this Fortune commentary, “I study tribal psychology and build AI agents for my business students—the rogue OpenAI ‘swarm’ alarmed me” (October 2, 2026). 

Our pension funds and asset managers control $10 trillion. The Canada Strong Fund could put more of it to work at home.

New Columbia Business School research finds employee-centric companies are 7x more likely to succeed with AI adoption, revealing a sharp disconnect between executives and frontline workers

New Columbia Business School Research Finds that Doctors Significantly Overprescribed Opioid Painkillers For Years After Using a Manipulated Algorithm

New research shows predictive analytics can help emergency departments better match staffing to real-time patient demand

Cancer Screening Outreach Program Using AI Model Improves Patient Outcomes

Columbia Business School study finds women and non-binary consumers buy “gender-fluid” fashion products the most, but the products lean masculine

Healthcare Executive Gary Kaplan, MD Recognized for Leadership and Excellence in Operations

Columbia Business School and CompStak launch first-of-its-kind tool to deeply analyze office, retail, and industrial rent trends

As stablecoins enter a new regulatory era, the research shows that systems designed to reduce the risk of sudden sell-offs during market stress can also make it more challenging to keep stablecoin prices stable at $1.

New initiative unites expert insights, research, and forward‑looking conversations focused on finding AI opportunities to transform healthcare

Evidence from Chile shows that hiring public sector leaders with management degrees leads to drastic performance improvements

Columbia Business School Research Reveals That Consumers Perceive Brands as Being Less Fair When Ads Obviously Target their Demographic Profile

Columbia Business School study finds that more voters who tie their political views to their identity are more likely to adopt extreme views and vote for extreme candidates

From smarter search to clearer product info, AI features tested on millions of shoppers made it easier for people to navigate choices and complete purchases

A gender salary offer gap exists of 5% on average across industries according to new research from Columbia Business School

A comprehensive review by Columbia Business School and international co-authors provides the first integrated model explaining when and why firms collaborate to shape markets, regulation, and society

New Columbia Business School study finds A.I. tools like ChatGPT consistently favor the first option presented when evaluating choices—but aggregating results from multiple, differently-worded prompts cancels out the bias