Technology

AI agents make our choices more predictable and less varied—raising serious questions about human individuality in an age of automation, according to new research by Columbia Business School’s Sandra Matz.

New commission rules, platform consolidation, and generative AI are pushing U.S. housing toward a more digital, consumer-centric future. But structural frictions continue to slow the path to fully automated closings.

New Columbia Business School research shows Wikipedia’s most “ChatGPT-like” articles are drawing fewer visitors, a trend that could weaken the encyclopedia and the AI models that rely on it.

New research from Columbia Business School reveals surprising patterns in how AI agents choose what to buy, and why sellers and platforms may need to rethink everything.

Why is Candy Crush level 65 so difficult? According to new research from Columbia Business School, companies are often myopic in making online games challenging for players.

CBS research finds that NASA-sponsored experiments aboard the International Space Station lead to significantly more cited papers and patents, especially when public institutions are involved.

Columbia Business School research shows that an Airbnb host’s smile reduces uncertainty and increases demand, especially for less experienced hosts and shared accommodations.

A groundbreaking course at Columbia Business School equips future leaders with a framework to address technology's most pressing ethical challenges.

New Columbia Business School research challenges assumptions about AI art's impact: Rather than diminishing human creativity, the presence of AI-generated art can actually enhance the perceived value of human-made work.

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.