Columbia Business Insights

At Columbia Business School’s BRITE Conference, Professor Adam Galinsky reveals how leaders can motivate others by mastering vision, integrity, and empathy. 

The veteran economist and CBS professor joined Professor Brett House to explore how erratic policymaking, rising tariffs, and politicized institutions are shaking global confidence in the U.S. economy.

Statistical bias could be misleading your product and feature testing, according to research from Columbia Business School Professor Hannah Li, but solutions might be easier than you think.

Generative AI is revolutionizing market research by offering unprecedented ways to understand customers, assess competitors, and extend data-driven decision-making organizationally. Research with pioneering companies reveals four key opportunities: gen AI supports existing practices by making them faster and more scalable; replaces traditional methods with synthetic data that can match conventional results with greater accuracy; fills insight gaps by providing evidence for decisions previously based on intuition; and creates innovative applications like digital twins for testing customer interactions. Survey data shows 45% of market researchers already use gen AI, with most employing it to analyze transcripts and data. While acknowledging limitations around bias and representativeness, this framework helps business leaders navigate gen AI's transformative potential in gathering customer and market insights more efficiently and effectively than ever before.

In new research, Professors Dante Donati and Hortense Fong find that the brief TikTok outage in January benefited Meta as advertisers turned to its platforms to reach users. Small businesses, less able to switch, lost out.