Columbia Business School In the News

Tania Babina believes AI can empower workers, especially those with data analysis and IT expertise, to grow and expand their skill sets. The Assistant Professor of Business in the Finance Division at CBS, Babina was quoted by CNBC in an article discussing how the future of work will benefit highly skilled employees with nontraditional educational backgrounds.In the article titled “Now hiring: ‘New-collar’ workers, no degree necessary,” personal finance writer Jessica Dickler describes how artificial intelligence is helping companies reimagine the role of the average worker. Dickler taps into the research of Tania Babina, who teaches the Entrepreneurial Finance course at Columbia Business School, and explores drivers of entrepreneurship and factors predicting entrepreneurial success, specifically within AI and Business Analytics, Corporate Finance, Entrepreneurship & Innovation, and Labor Markets.Learn how individuals in key industries such as health care, engineering, technology, and software, despite their education, are poised to benefit and become highly employable thanks to AI in the workplace.

As leading tech companies manage extensive layoffs alongside substantial AI investments, will their financial strategies pay off?In a Reuters article, Assistant Professor of Management at Columbia Business School, Daniel Keum, discusses the impact of generative AI on the tech industry. As tech giants like Google and Amazon continue to announce layoffs alongside significant investments in AI, Keum offers his perspective on the long-term profitability of these technologies.Keum highlights the potential delays in financial gains from AI technologies and suggests that it might take longer than expected to see substantial returns. His analysis is rooted in historical examples where new technologies took a decade or more to become profitably integrated into business models.Read the full article to understand the economic effects of AI investments and the strategic decisions influencing the future of tech companies. 

Is the tech industry still at risk of mass layoffs? In this Wired article, Columbia Business School Associate Professor Daniel Keum shares his perspective on the evolving nature of tech job cuts. Keum explains that the current layoffs are not the sweeping downsizing seen in 2022 and 2023 but rather a “rebalancing” as companies adjust their focus towards automation and generative AI.It is mentioned that as firms like Google and Amazon streamline operations, they are shifting priorities rather than eliminating large swaths of jobs. While generative AI job postings surged last year, the industry still faced significant job losses, indicating that the tech landscape is rapidly changing. This article highlights the importance of staying agile as the sector adapts to new technologies, which are reshaping roles and creating fresh opportunities. Today’s tech layoffs are driven by strategic realignment rather than an industry-wide crisis. Are tech layoffs a cause for concern or just part of a bigger shift? Read the full article for more.

AI technology is continuing to advance, but leadership is one area where human qualities still stand out. In this article from Harvard Business Review, research involving Columbia Business School shows that while AI excels in handling complex tasks with speed and accuracy, it struggles with the human side of leadership. The research highlights the importance of balancing AI’s strengths with human qualities like empathy, wisdom, and authenticity. While AI can provide valuable support through data analysis and unbiased feedback, it cannot replace the connection that human leaders build with their teams. This article serves as an important guide for leaders looking to embrace AI without losing the human touch that defines effective leadership. The findings point to a future where AI supports leaders, but human skills remain at the core of inspiring and motivating others. Read the full article for more.