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      • 2024
      • Working Paper

      Displacement or Complementarity? The Labor Market Impact of Generative AI

      By: Wilbur Xinyuan Chen, Suraj Srinivasan and Saleh Zakerinia
      Generative AI is poised to reshape the labor market, affecting cognitive and white-collar occupations in ways distinct from past technological revolutions. This study examines whether generative AI displaces workers or augments their jobs by analyzing labor demand and... View Details
      Keywords: Generative Ai; Labor Market; Automation And Augmentation; Labor; AI and Machine Learning; Competency and Skills
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      Chen, Wilbur Xinyuan, Suraj Srinivasan, and Saleh Zakerinia. "Displacement or Complementarity? The Labor Market Impact of Generative AI." Harvard Business School Working Paper, No. 25-039, December 2024.
      • December 2024
      • Article

      Public Attitudes on Performance for Algorithmic and Human Decision-Makers

      By: Kirk Bansak and Elisabeth Paulson
      This study explores public preferences for algorithmic and human decision-makers (DMs) in high-stakes contexts, how these preferences are shaped by performance metrics, and whether public evaluations of performance differ depending on the type of DM. Leveraging a... View Details
      Keywords: Public Opinion; Prejudice and Bias; Decision Making
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      Bansak, Kirk, and Elisabeth Paulson. "Public Attitudes on Performance for Algorithmic and Human Decision-Makers." PNAS Nexus 3, no. 12 (December 2024).
      • December 2024
      • Article

      Respect for Improvements and Comparative Statics in Matching Markets

      By: Scott Duke Kominers
      One of the oldest results in the theory of two-sided matching is the entry comparative static, which shows that under the Gale–Shapley deferred acceptance algorithm, adding a new agent to one side of the market makes all the agents on the other side weakly... View Details
      Keywords: Market Entry and Exit; Marketplace Matching; Mathematical Methods; Market Design
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      Kominers, Scott Duke. "Respect for Improvements and Comparative Statics in Matching Markets." Journal of Mechanism and Institution Design 9, no. 1 (December 2024): 83–104.
      • 2025
      • Working Paper

      Why Most Resist AI Companions

      By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni
      AI companion applications—designed to serve as synthetic interaction partners—have recently become capable enough to reduce loneliness, a growing public health concern. However, behavioral research has yet to fully explain the barriers to adoption of such AI and... View Details
      Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions
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      De Freitas, Julian, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp, and Stefano Puntoni. "Why Most Resist AI Companions." Harvard Business School Working Paper, No. 25-030, December 2024. (Revised May 2025.)
      • November 2024
      • Supplement

      AlphaGo (B): Birth of a New Intelligence

      By: Shikhar Ghosh and Shweta Bagai
      This case, the second in a three-part series, explores DeepMind's evolution from developing game-specific AI to more generalized learning systems. Following AlphaGo's 2017 victory over the Go world champion, DeepMind introduced two revolutionary systems that eliminated... View Details
      Keywords: AI and Machine Learning; Games, Gaming, and Gambling; Technological Innovation; Disruptive Innovation; Innovation Leadership; Information Technology Industry; United States; Russia; China
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      Ghosh, Shikhar, and Shweta Bagai. "AlphaGo (B): Birth of a New Intelligence." Harvard Business School Supplement 825-074, November 2024.
      • November 2024
      • Supplement

      AlphaGo (C): Birth of a New Intelligence

      By: Shikhar Ghosh and Shweta Bagai
      This case, the final of a three-part series, explores DeepMind's pivotal transition from mastering games to solving real-world scientific challenges. In December 2020, DeepMind's AI system AlphaFold 2 achieved a breakthrough by solving protein folding—a 50-year-old... View Details
      Keywords: Autonomy; Deep Learning; Drug Discovery; Healthcare Innovation; Neural Networks; Scientific Research; Technology Startup; AI and Machine Learning; Technological Innovation; Research and Development; Business Model; Business Strategy; Open Source Distribution; Technology Industry; United States
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      Ghosh, Shikhar, and Shweta Bagai. "AlphaGo (C): Birth of a New Intelligence." Harvard Business School Supplement 825-075, November 2024.
      • 2024
      • Working Paper

      Scaling Core Earnings Measurement with Large Language Models

      By: Matthew Shaffer and Charles CY Wang
      We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
      Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
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      Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
      • November 2024 (Revised April 2025)
      • Case

      Cheerful Music

      By: Shunyuan Zhang, Feng Zhu and Nancy Hua Dai
      Established by Snow Jiang in 2019 in Shenzhen, China, Cheerful Music was a record label company that had created many hit songs in China. “Yi Xiao Jiang Hu,” its most famous hit song, gained billions of views on social media platforms in China and overseas as the... View Details
      Keywords: Generative Ai; Music Entertainment; Global Strategy; Business Model; AI and Machine Learning; Market Entry and Exit; Music Industry; China; United Kingdom; London
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      Zhang, Shunyuan, Feng Zhu, and Nancy Hua Dai. "Cheerful Music." Harvard Business School Case 525-031, November 2024. (Revised April 2025.)
      • November 2024 (Revised January 2025)
      • Case

      MiDAS: Automating Unemployment Benefits

      By: Shikhar Ghosh and Shweta Bagai
      In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details
      Keywords: Artificial Intelligence; AI; Machine Learning Models; Algorithmic Data; Automation; Benefits; Compensation; Cost Reduction; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Insurance; Decision Making; Digital Transformation; Employment; Public Administration Industry; United States; Michigan
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      Ghosh, Shikhar, and Shweta Bagai. "MiDAS: Automating Unemployment Benefits." Harvard Business School Case 825-100, November 2024. (Revised January 2025.)
      • 2024
      • Working Paper

      Climate Solutions, Transition Risk, and Stock Returns

      By: Shirley Lu, Edward J. Riedl, Simon Xu and George Serafeim
      Using large language models to measure firms' climate solution products and services, we find that high-climate solution firms exhibit lower stock returns and higher market valuation multiples. Their stock prices respond positively to events signaling increased demand... View Details
      Keywords: Technology; Generative Ai; Large Language Models; Climate Finance; Climate Change; Innovation and Invention; Environmental Sustainability; AI and Machine Learning; Investment; Financial Markets
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      Lu, Shirley, Edward J. Riedl, Simon Xu, and George Serafeim. "Climate Solutions, Transition Risk, and Stock Returns." Harvard Business School Working Paper, No. 25-024, November 2024.
      • November 2024
      • Supplement

      Epic Games: Nineteen Eighty-Fortnite (B)

      By: Andy Wu and Ronald Wang
      In a significant ruling on April 24, 2023, the U.S. Court of Appeals for the Ninth Circuit upheld portions of the district court’s decision against Epic Games back in September 2021. However, Apple’s anti-steering provisions, which restricted app developers from... View Details
      Keywords: Lawsuits and Litigation; Market Transactions; Applications and Software; Technology Industry; Video Game Industry
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      Wu, Andy, and Ronald Wang. "Epic Games: Nineteen Eighty-Fortnite (B)." Harvard Business School Supplement 725-400, November 2024.
      • November 2024 (Revised March 2025)
      • Case

      Tim Ferriss: What Might This Look like If It Were Easy?

      By: Reza Satchu and Denise Koller
      In April 2024, writer-podcaster Tim Ferriss—celebrated as the “Oprah of audio” for his billion-download show and known for NYT-bestsellers like The 4-Hour Workweek—found himself at a crossroads. Despite generating a multi-million-dollar annual revenue with just three... View Details
      Keywords: Transition; Personal Development and Career; Business Strategy; Decision Choices and Conditions; Philanthropy and Charitable Giving; Media and Broadcasting Industry
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      Satchu, Reza, and Denise Koller. "Tim Ferriss: What Might This Look like If It Were Easy?" Harvard Business School Case 825-091, November 2024. (Revised March 2025.)
      • November 2024
      • Article

      On the Representativeness of Voter Turnout

      By: Louis Kaplow and Scott Duke Kominers
      Prominent theory research on voting analyzes a variety of models in which expected pivotality drives voters' turnout decisions and hence determines voting outcomes. It is recognized, however, that such work is at odds with Downs's paradox: in practice, many... View Details
      Keywords: Voting Behavior; Voting Turnout; Paradox Of Voting; Pivotality; Elections; Model; Theory; Governance Transparency; Government; Democracy; Turnout; Voting; Governance; Government and Politics; Public Sector; Political Elections
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      Kaplow, Louis, and Scott Duke Kominers. "On the Representativeness of Voter Turnout." Journal of Law & Economics 67, no. 4 (November 2024): 879–904.
      • November 2024
      • Article

      Preference Externality Estimators: A Comparison of Border Approaches and IVs

      By: Xi Ling, Wesley R. Hartmann and Tomomichi Amano
      This paper compares two estimators—the Border Approach and an Instrumental Variable (IV) estimator—using a unified framework where identifying variation arises from “preference externalities,” following the intuition in Waldfogel (2003). We highlight two dimensions in... View Details
      Keywords: Econometrics; Casual Inference; Marketing; Economics; Advertising; Mathematical Methods
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      Ling, Xi, Wesley R. Hartmann, and Tomomichi Amano. "Preference Externality Estimators: A Comparison of Border Approaches and IVs." Management Science 70, no. 11 (November 2024): 7892–7910.
      • October 2024 (Revised December 2024)
      • Case

      Kering Eyewear

      By: Rohit Deshpandé, Dante Roscini and Elena Corsi
      In June 2024, Roberto Vedovotto, CEO of Kering Eyewear, prepared to discuss the future of the recently acquired brands LINDBERG, a Danish optical eyewear brand, and Maui Jim, an American sunglasses brand. Vedovotto founded Kering Eyewear in 2014, convincing... View Details
      Keywords: Marketing Strategy; Brands and Branding; Product Marketing; Mergers and Acquisitions; Business or Company Management; Growth and Development Strategy; Luxury; Fashion Industry; Apparel and Accessories Industry; Consumer Products Industry; Italy; Europe; China
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      Deshpandé, Rohit, Dante Roscini, and Elena Corsi. "Kering Eyewear." Harvard Business School Case 525-027, October 2024. (Revised December 2024.)
      • October 2024
      • Case

      Edizione

      By: Cynthia A. Montgomery, Dante Roscini, Elena Corsi and Hugo Etchegoyhen
      This case study examines the diversification and transformation of Edizione, the Benetton family's holding company originally established to reinvest dividends from the Benetton clothing brand. Edizione expanded significantly in the late 1990s and early 2000s,... View Details
      Keywords: Leadership Style; Leading Change; Leadership Development; Family Business; Family Ownership; Communication Strategy; Crisis Management; Management Style; Change Management; Asset Management; Management Succession; Private Equity; Corporate Governance; Organizational Culture; Reputation; Public Opinion; Mergers and Acquisitions; Diversification; Expansion; Air Transportation Industry; Fashion Industry; Transportation Industry; Travel Industry; Italy; Europe
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      Montgomery, Cynthia A., Dante Roscini, Elena Corsi, and Hugo Etchegoyhen. "Edizione." Harvard Business School Case 725-395, October 2024.
      • October 2024
      • Teaching Note

      The Financial Times (FT) and Generative AI

      By: Ramon Casadesus-Masanell and Jordan Mitchell
      Teaching Note for HBS Case No. 724-410. View Details
      Keywords: Strategy
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      Casadesus-Masanell, Ramon, and Jordan Mitchell. "The Financial Times (FT) and Generative AI." Harvard Business School Teaching Note 725-405, October 2024.
      • 2024
      • Chapter

      What Future for the Renminbi in the Global Monetary System?

      By: Edoardo Campanella and Meg Rithmire
      What is a realistic and positive outcome for US-China relations in the realm of global finance over the next ten years? While some policymakers, especially in the US, have feared that China holds ambitions for the renminbi (RMB) to replace the dollar as a global... View Details
      Keywords: International Relations; Currency; Macroeconomics; Globalized Economies and Regions; China; United States
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      Campanella, Edoardo, and Meg Rithmire. "What Future for the Renminbi in the Global Monetary System?" Chap. 7 in U.S.-China Relations for the 2030s: Toward a Realistic Scenario for Coexistence, edited by Chris Chivvis, C. Fred Bergsten, Edoardo Campanella, John Culver, Rosemary Foot, M. Taylor Fravel, Eric Heginbotham, Evan S. Medeiros, Meg Rithmire, George Perkovich, Stephen M. Walt, Stephen Wertheim, and Audrye Wong, 67–78. Washington D.C.: Carnegie Endowment for International Peace, 2024.
      • October 2024
      • Case

      Ranger Energy Services: Bridging Public & Private Markets

      By: Joseph Pacelli, Ravi Ramniklal Gondalia and James Weber
      In August of 2017, CSL Capital, a private equity fund founded and operated by Charlie Leykum (HBS ’04), was deciding to take one of its portfolio companies, Ranger Energy Services, public. Founded in 2014, Ranger Energy was an oilfield service company providing... View Details
      Keywords: Entrepreneurship; Initial Public Offering; Financial Strategy; Valuation; Private Equity; Business Strategy; Investment Portfolio; Investment Return; Financial Services Industry; Energy Industry; United States
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      Pacelli, Joseph, Ravi Ramniklal Gondalia, and James Weber. "Ranger Energy Services: Bridging Public & Private Markets." Harvard Business School Case 125-023, October 2024.
      • October 2024 (Revised February 2025)
      • Case

      AI and Brand Management: Promises and Perils

      By: Julian De Freitas and Elie Ofek
      As AI gains traction across industries, companies anticipate that AI will revolutionize both backend processes and customer-facing interactions—with brands eager to leverage AI for tailored marketing materials and automated consumer engagements. Yet, despite a dramatic... View Details
      Keywords: AI and Machine Learning; Brands and Branding; Reputation; Technology Adoption; Competitive Advantage
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      De Freitas, Julian, and Elie Ofek. "AI and Brand Management: Promises and Perils." Harvard Business School Case 525-021, October 2024. (Revised February 2025.)
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