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      • January–February 2025
      • Article

      Want Your Company to Get Better at Experimentation?: Learn Fast by Democratizing Testing

      By: Iavor Bojinov, David Holtz, Ramesh Johari, Sven Schmit and Martin Tingley
      For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge. The widespread availability and lower... View Details
      Keywords: Technological Innovation; AI and Machine Learning; Analytics and Data Science; Product Development; Competitive Advantage
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      Bojinov, Iavor, David Holtz, Ramesh Johari, Sven Schmit, and Martin Tingley. "Want Your Company to Get Better at Experimentation? Learn Fast by Democratizing Testing." Harvard Business Review 103, no. 1 (January–February 2025): 96–103.
      • January–February 2025
      • Article

      Why People Resist Embracing AI

      By: Julian De Freitas
      The success of AI depends not only on its capabilities, which are becoming more advanced each day, but on people’s willingness to harness them. Unfortunately, many people view AI negatively, fearing it will cause job losses, increase the likelihood that their personal... View Details
      Keywords: AI and Machine Learning; Technology Adoption; Perception
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      De Freitas, Julian. "Why People Resist Embracing AI." Harvard Business Review 103, no. 1 (January–February 2025): 52–56.
      • January–February 2025
      • Article

      Why People Resist Embracing AI: The Five Main Obstacles—and How To Overcome Them

      By: Julian De Freitas
      The success of AI depends not only on its capabilities, which are becoming more advanced each day, but on people’s willingness to harness them. Unfortunately, many people view AI negatively, fearing it will cause job losses, increase the likelihood that their personal... View Details
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      De Freitas, Julian. "Why People Resist Embracing AI: The Five Main Obstacles—and How To Overcome Them." Harvard Business Review 103, no. 1 (January–February 2025).
      • December 18, 2024
      • Article

      Is AI the Right Tool to Solve That Problem?

      By: Paolo Cervini, Chiara Farronato, Pushmeet Kohli and Marshall W Van Alstyne
      While AI has the potential to solve major problems, organizations embarking on such journeys of often encounter obstacles. They include a dearth of high-quality data; too many possible solutions; the lack of a clear, measurable objective; and difficulty in identifying... View Details
      Keywords: Artificial Intelligence; AI and Machine Learning; Problems and Challenges
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      Cervini, Paolo, Chiara Farronato, Pushmeet Kohli, and Marshall W Van Alstyne. "Is AI the Right Tool to Solve That Problem?" Harvard Business Review (website) (December 18, 2024).
      • December 2024 (Revised March 2025)
      • Case

      KLog.co—Charting the Course of Its Future

      By: Juan Alcácer, Jorge Tirado and Thomas Occhipinti
      Keywords: Freighting; Logistics; Trade; Latin America; Chile
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      Alcácer, Juan, Jorge Tirado, and Thomas Occhipinti. "KLog.co—Charting the Course of Its Future." Harvard Business School Case 725-410, December 2024. (Revised March 2025.)
      • December 2024 (Revised January 2025)
      • Technical Note

      A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)

      By: Shane Greenstein, Nathaniel Lovin, Scott Wallsten, Kerry Herman and Susan Pinckney
      A note on the vocabulary, evolution, and impact of AI. View Details
      Keywords: Artificial Intelligence; Software; AI and Machine Learning; Technology Adoption; Technological Innovation; Technology Industry
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      Greenstein, Shane, Nathaniel Lovin, Scott Wallsten, Kerry Herman, and Susan Pinckney. "A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)." Harvard Business School Technical Note 625-039, December 2024. (Revised January 2025.)
      • December 2024
      • Case

      Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey

      By: Shikhar Ghosh
      In early 2024, Bill Fandrich, Executive VP and CIO of Blue Cross Blue Shield of Michigan (BCBSM), faced a critical decision about AI adoption within the organization. Fandrich had championed AI implementation at BCBSM. After successfully developing three AI... View Details
      Keywords: Blue Cross; Automation; Generative Ai; Health Insurance; Insurance Companies; Innovation; IT Strategy; Organizational Transformations; Technology; Non-profit; AI and Machine Learning; Health; Digital Strategy; Digital Transformation; Leadership; Technology Adoption; Job Cuts and Outsourcing; Innovation Strategy; Health Industry; Insurance Industry; Michigan
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      Ghosh, Shikhar. "Blue Cross Blue Shield of Michigan (BCBSM): The AI Journey." Harvard Business School Case 825-082, December 2024.
      • 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

      Large Shocks Travel Fast

      By: Alberto Cavallo, Francesco Lippi and Ken Miyahara
      We document a sizeable increase in the frequency of price adjustments following the large energy shocks of 2022. We use a tractable New Keynesian model, calibrated to the pre-shock data, to interpret such a pattern. The calibration highlights the state-dependence of... View Details
      Keywords: System Shocks; Price; Cost; Inflation and Deflation; Financial Institutions
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      Cavallo, Alberto, Francesco Lippi, and Ken Miyahara. "Large Shocks Travel Fast." American Economic Review: Insights 6, no. 4 (December 2024): 558–574.
      • 2024
      • Book

      The Fading Light of Democratic Capitalism: How Pervasive Cronyism and Restricted Suffrage Are Destroying Democratic Capitalism as a National Ideal ... And What to Do About It

      By: Malcolm S. Salter
      What are we to do about declining public trust and confidence in democratic capitalism, which many citizens consider a cornerstone of our national ideology and identity? In this book, I address how we can rekindle the fading light of democratic capitalism as an... View Details
      Keywords: Government and Politics; Power and Influence; Economic Systems; Culture
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      Salter, Malcolm S. The Fading Light of Democratic Capitalism: How Pervasive Cronyism and Restricted Suffrage Are Destroying Democratic Capitalism as a National Ideal ... And What to Do About It. Cambridge Elements, Elements in Reinventing Capitalism. Cambridge University Press, 2024.
      • 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.)
      • 2024
      • Contribution

      Work

      By: Nien-hê Hsieh and Julie L. Rose
      This chapter has two aims. First, in light of the continued dominance of market capitalism, one aim of the chapter is to examine contemporary approaches to traditional concerns about the impact of market capitalism on the manner in which work is carried out. By the... View Details
      Keywords: Organizational Design; Employees; Labor
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      Hsieh, Nien-hê, and Julie L. Rose. "Work." Contribution to Chap. 69 Routledge Companion to Social and Political Philosophy. Second Edition edited by Gerald F. Gaus, Fred D'Agostino, and Ryan Muldoon, 786–797. London: Routledge, 2025.
      • November 2024
      • Case

      AlphaGo (A): Birth of a New Intelligence

      By: Shikhar Ghosh and Shweta Bagai
      This case, the first of a three-part series, traces DeepMind's evolution from its 2010 founding through its acquisition by Google in 2014. Often referred to as the "Apollo project" of artificial intelligence, DeepMind used games as a testing ground to develop AI... View Details
      Keywords: AI and Machine Learning; Technology Adoption; Games, Gaming, and Gambling; Technological Innovation; Creativity; Technology Industry; South Korea; China; United States
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      Ghosh, Shikhar, and Shweta Bagai. "AlphaGo (A): Birth of a New Intelligence." Harvard Business School Case 825-073, November 2024.
      • 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.
      • November 2024
      • Case

      Polish Agro: Where Do We Grow from Here?

      By: Willy C. Shih, Lena Duchene and Daniela Beyersdorfer
      By July 2024, Polish Agro had grown into one of Poland’s fastest-growing agribusinesses, with €230 million in revenue, 82 employees, and operations across Northern Poland. The company supported farmers with essential agricultural inputs like fertilizers and seeds,... View Details
      Keywords: Plant-Based Agribusiness; Distribution; Volatility; Customer Focus and Relationships; Customer Value and Value Chain; Climate Change; Environmental Regulation; Profit; Trade; Digital Strategy; Innovation Strategy; Crisis Management; Growth and Development Strategy; Resource Allocation; Advertising; Brands and Branding; E-commerce; Business and Community Relations; Networks; Adaptation; Adoption; Competitive Advantage; Business Model; Health Pandemics; War; Agriculture and Agribusiness Industry; Europe; Poland
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      Shih, Willy C., Lena Duchene, and Daniela Beyersdorfer. "Polish Agro: Where Do We Grow from Here?" Harvard Business School Case 625-061, November 2024.
      • 2024
      • Working Paper

      Priceless: How to Create, Trade, and Protect What Matters Most

      By: Debora L. Spar
      This article explores the concept of the "sacred economy," a realm of human interactions and exchanges that transcends traditional market dynamics. It illustrates the emotional and relational aspects of human connections that cannot be quantified or traded like... View Details
      Keywords: Valuation; Relationships; Human Needs; Goods and Commodities
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      Spar, Debora L. "Priceless: How to Create, Trade, and Protect What Matters Most." Harvard Business School Working Paper, No. 25-028, 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
      • Teaching Note

      Mercado Bitcoin: M&A, IPO, or Series B?

      By: Raymond Kluender, Emanuele Colonnelli and Sabrina Howell
      Teaching Note for HBS Case No. 825-047. In April 2021, Brazilian cryptocurrency platform Mercado Bitcoin, had to decide how to scale: go public, M&A with a bank, or take a VC big check. In a highly volatile market, Roberto Dagnoni, chairman of the board, viewed the... View Details
      Keywords: Cryptocurrency; Mergers and Acquisitions; Business Growth and Maturation; Business Startups; Decision Making; Going Public; Ownership Stake; Strategic Planning; Venture Capital; Problems and Challenges; Business Cycles; Digital Platforms; Emerging Markets; Market Timing; Expansion; Diversification; Valuation; Value Creation; Investment Funds; Initial Public Offering; Price; Price Bubble; Negotiation Offer; Information Technology Industry; Financial Services Industry; Brazil; Latin America
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      Kluender, Raymond, Emanuele Colonnelli, and Sabrina Howell. "Mercado Bitcoin: M&A, IPO, or Series B?" Harvard Business School Teaching Note 825-092, November 2024.
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