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      • August 2025
      • Case

      Emory Healthcare on the Front Lines of the Nursing Workforce Crisis (B)

      By: Susanna Gallani, Karen L. Sedatole, Sarah Mehta and Nicole Zelazko
      This supplement to the Emory Healthcare (A) case details organizational developments from July 2023 through October 2024. It explores leadership transitions, expanded recruitment efforts, compensation strategy shifts, and technology investments aimed at addressing... View Details
      Keywords: Health Care and Treatment; Human Resources; Compensation and Benefits; Organizational Culture; Technology Adoption; Retention; Working Conditions; Health Industry; United States
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      Gallani, Susanna, Karen L. Sedatole, Sarah Mehta, and Nicole Zelazko. "Emory Healthcare on the Front Lines of the Nursing Workforce Crisis (B)." Harvard Business School Case 126-012, August 2025.
      • August 5, 2025
      • Article

      Data-driven Equation Discovery Reveals Nonlinear Reinforcement Learning in Humans

      By: Kyle J. LaFollette, Janni Yuval, Roey Schurr, David Melnikoff and Amit Goldenberg
      Computational models of reinforcement learning (RL) have significantly contributed to our understanding of human behavior and decision-making. Traditional RL models, however, often adopt a linear approach to updating reward expectations, potentially oversimplifying the... View Details
      Keywords: AI and Machine Learning; Behavior; Learning; Motivation and Incentives; Mathematical Methods
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      LaFollette, Kyle J., Janni Yuval, Roey Schurr, David Melnikoff, and Amit Goldenberg. "Data-driven Equation Discovery Reveals Nonlinear Reinforcement Learning in Humans." Proceedings of the National Academy of Sciences 122, no. 31 (August 5, 2025).
      • August 2025
      • Case

      Meta and the Superintelligence Talent Race

      By: Boris Groysberg and Sarah L. Abbott
      In June 2025, Meta CEO Mark Zuckerberg upped the ante in the ongoing AI talent wars. Some analysts praised Zuckerberg’s aggressive approach to building Meta's AI capabilities, while others pointed to the high costs this strategy entailed and questioned how effectively... View Details
      Keywords: AI; Artificial Intelligence; Machine Learning; Talent Acquisition; Hiring; Technology; Metaverse; Competition; Compensation; Innovation; Talent Development; Competing To Win; Competitive Dynamics; AI and Machine Learning; Talent and Talent Management; Recruitment; Compensation and Benefits; Competency and Skills; Competitive Strategy; Technological Innovation; Technology Industry
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      Groysberg, Boris, and Sarah L. Abbott. "Meta and the Superintelligence Talent Race." Harvard Business School Case 426-003, August 2025.
      • July–August 2025
      • Article

      Case Study: Do We Reskill or Replace Our Workforce?

      By: William Kerr
      To remain competitive in the internet-of-things era, should the CEO of SolidTech Innovations, a fictional elevator company, invest a lot of money in reskilling its entire staff? The industry is moving from hardware to software in the form of smart, connected elevators.... View Details
      Keywords: Training; Competency and Skills; Employees; Change Management; Leading Change
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      Kerr, William. "Case Study: Do We Reskill or Replace Our Workforce?" Harvard Business Review 103, no. 4 (July–August 2025): 141–145.
      • Article

      Using Gen AI for Early-Stage Market Research

      By: James Brand, Ayelet Israeli and Donald Ngwe
      Generative AI, particularly large language models (LLMs), offers a promising new tool for early-stage market research by simulating customer responses to product concepts. This can allow companies to draw conclusions similar to those they’d obtain by surveying... View Details
      Keywords: Large Language Models; Large Language Model; Generative Ai; Artificial Intelligence; Market Research; Research; Marketing; AI and Machine Learning; Analytics and Data Science; Analysis; Customers; Consumer Behavior; Technology Industry; Technology Industry
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      Brand, James, Ayelet Israeli, and Donald Ngwe. "Using Gen AI for Early-Stage Market Research." Harvard Business Review (website) (July 18, 2025).
      • July–August 2025
      • Article

      Don’t Let an AI Failure Harm Your Brand

      By: Julian De Freitas
      How companies market their AI systems affects the repercussions they face when their products fail. Marketers must promote their AI products with potential failure in mind. To do that, they must first understand consumers’ unique attitudes toward AI. Marketers who... View Details
      Keywords: AI and Machine Learning; Brands and Branding; Product Marketing; Consumer Behavior; Attitudes
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      De Freitas, Julian. "Don’t Let an AI Failure Harm Your Brand." Harvard Business Review 103, no. 4 (July–August 2025): 126–133.
      • June 2025
      • Case

      Konko AI: Automating Work with AI Agents

      By: Shikhar Ghosh, Shweta Bagai and Liang Wu
      In January 2025, Jean Marc Goguikian and Michael Haddad, co-founders of Konko AI, faced a critical strategic decision. After the company’s developer platform for private large language models (LLMs) struggled to gain traction, they had pivoted to building AI sales... View Details
      Keywords: AI and Machine Learning; Customer Relationship Management; Growth and Development Strategy; Product Positioning; Product Development; Organizational Change and Adaptation; Business Strategy; Customization and Personalization; Technology Industry; Latin America
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      Ghosh, Shikhar, Shweta Bagai, and Liang Wu. "Konko AI: Automating Work with AI Agents." Harvard Business School Case 825-145, June 2025.
      • June 2025
      • Supplement

      Transforming a Titan (B)

      By: George Serafeim and Lena Duchene
      After a global search the board appoints Marcel Cobuz—ex-LafargeHolcim executive with deep innovation experience—as TITAN’s first non-family CEO. Cobuz co-creates a four-pillar roadmap: sharpen the core cement portfolio, accelerate low-carbon products and aggregates,... View Details
      Keywords: CEO Succession; CEO Role; Family Business; AI and Machine Learning; Green Technology; Multinational Firms and Management; Selection and Staffing; Collaborative Innovation and Invention; Leadership; Strategic Planning; Business Strategy
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      Serafeim, George, and Lena Duchene. "Transforming a Titan (B)." Harvard Business School Supplement 125-122, June 2025.
      • June 2025
      • Case

      Scale AI Scales Up

      By: Boris Groysberg and Sarah L. Abbott
      Scale AI, the data labeling and AI infrastructure company, had grown rapidly since it was founded in 2016; however, as Scale’s generative AI business was taking off, Alexandr Wang, Scale’s founder and CEO, became concerned that Scale was slowing down. Wang and the... View Details
      Keywords: Technology And Innovation Management; Entrepreneur; Managing Growth; Hiring; Generative Ai; Data Labeling; Scale; AI and Machine Learning; Entrepreneurship; Talent and Talent Management; Growth Management; Leadership; Organizational Culture; Business Startups; Selection and Staffing; Technology Industry; United States
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      Groysberg, Boris, and Sarah L. Abbott. "Scale AI Scales Up." Harvard Business School Case 425-082, June 2025.
      • June 2025
      • Article

      Ideation with Generative AI—In Consumer Research and Beyond

      By: Julian De Freitas, G. Nave and Stefano Puntoni
      The use of large language models (LLMs) in consumer research is rapidly evolving, with applications including synthetic data generation, data analysis, and more. However, their role in creative ideation—a cornerstone of consumer research—remains underexplored. Drawing... View Details
      Keywords: Large Language Model; AI and Machine Learning; Creativity; Innovation Strategy
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      De Freitas, Julian, G. Nave, and Stefano Puntoni. "Ideation with Generative AI—In Consumer Research and Beyond." Journal of Consumer Research 51, no. 1 (June 2025): 18–31.
      • June 2025
      • Article

      Unregulated Emotional Risks of AI Wellness Apps

      By: Julian De Freitas and Glenn Cohen
      We propose that AI-driven wellness apps powered by large language models can foster extreme emotional attachments and dependencies akin to human relationships—posing risks like ambiguous loss and dysfunctional dependence—that challenge current regulatory frameworks and... View Details
      Keywords: AI and Machine Learning; Well-being; Emotions; Governing Rules, Regulations, and Reforms
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      De Freitas, Julian, and Glenn Cohen. "Unregulated Emotional Risks of AI Wellness Apps." Nature Machine Intelligence 7, no. 6 (June 2025): 813–815.
      • 2025
      • Working Paper

      Data-driven Technologies and Local Information Advantages in Small Business Lending

      By: Wilbur Chen, Jung Koo Kang and Aditya Mohan
      We investigate whether banks' adoption of data-driven technologies influences competitive dynamics in local small business lending by diminishing the information advantages traditionally held by local banks. Using local newspaper closures as an adverse shock to the... View Details
      Keywords: Data-driven Technologies; Local Information Advantages; Local Banks; Relationship Lending; Small Business Loans; Small Business; Local Range; Financing and Loans; Banks and Banking; Analytics and Data Science; Banking Industry
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      Chen, Wilbur, Jung Koo Kang, and Aditya Mohan. "Data-driven Technologies and Local Information Advantages in Small Business Lending." Harvard Business School Working Paper, No. 25-057, May 2025.
      • 2025
      • Working Paper

      Generative AI Use by Capital Market Information Intermediaries: Evidence from Seeking Alpha

      By: Mark Bradshaw, Chenyang Ma, Benjamin Yost and Yuan Zou
      We study the use of generative AI for firm-specific financial analysis on the Seeking Alpha platform. We find that, after the initial launch of ChatGPT in November 2022, the share of AI-generated articles rose sharply to 13.4% of all articles, then declined in late... View Details
      Keywords: Generative Ai; Seeking Alpha; Equity Research; Large Language Models; Gpt; AI and Machine Learning; Information Publishing; Financial Markets
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      Bradshaw, Mark, Chenyang Ma, Benjamin Yost, and Yuan Zou. "Generative AI Use by Capital Market Information Intermediaries: Evidence from Seeking Alpha." Harvard Business School Working Paper, No. 25-055, April 2025.
      • April 2025
      • Case

      Salesforce Agentforce: The Limitless Workforce

      By: Suraj Srinivasan, Allison Ciechanover and George Gonzalez
      In early 2025, Salesforce was a global leader in cloud-based enterprise software, best known for pioneering customer relationship management (CRM) delivered as a service. Over the past two decades, the company had expanded into marketing, customer service, analytics,... View Details
      Keywords: Business Model; Customer Relationship Management; Price; AI and Machine Learning; Technology Adoption; Organizational Change and Adaptation; Sales; Business Strategy; Ethics; Product Launch; Technology Industry; United States
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      Srinivasan, Suraj, Allison Ciechanover, and George Gonzalez. "Salesforce Agentforce: The Limitless Workforce." Harvard Business School Case 125-096, April 2025.
      • March 2025 (Revised June 2025)
      • Case

      Designing the Future of Work: Atlassian's Distributed Work Practices

      By: Ashley Whillans and Gabriel Rondón Ichikawa
      In early 2020, the software company Atlassian made a bold commitment: employees could work from anywhere—forever. While many tech peers reversed course on remote work, Atlassian worked to optimize their fully distributed model across 13 countries. This case follows... View Details
      Keywords: Transformation; Working Conditions; Management Practices and Processes; Product Development; Organizational Culture; Business Strategy; Employees; Technology Industry
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      Whillans, Ashley, and Gabriel Rondón Ichikawa. "Designing the Future of Work: Atlassian's Distributed Work Practices." Harvard Business School Case 925-029, March 2025. (Revised June 2025.)
      • 2025
      • Working Paper

      The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise

      By: Fabrizio Dell'Acqua, Charles Ayoubi, Hila Lifshitz, Raffaella Sadun, Ethan Mollick, Lilach Mollick, Yi Han, Jeff Goldman, Hari Nair, Stew Taub and Karim R. Lakhani
      We examine how artificial intelligence transforms the core pillars of collaboration— performance, expertise sharing, and social engagement—through a pre-registered field experiment with 776 professionals at Procter & Gamble, a global consumer packaged goods company.... View Details
      Keywords: Artificial Intelligence; Teamwork; Human-machine Interaction; Productivity; Skills; Innovation; Field Experiment; AI and Machine Learning; Groups and Teams; Competency and Skills; Performance Productivity; Collaborative Innovation and Invention; Product Development
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      Dell'Acqua, Fabrizio, Charles Ayoubi, Hila Lifshitz, Raffaella Sadun, Ethan Mollick, Lilach Mollick, Yi Han, Jeff Goldman, Hari Nair, Stew Taub, and Karim R. Lakhani. "The Cybernetic Teammate: A Field Experiment on Generative AI Reshaping Teamwork and Expertise." Harvard Business School Working Paper, No. 25-043, March 2025.
      • March 2025
      • Case

      Stagwell: AI and the Future of Marketing

      By: Suraj Srinivasan and Radhika Kak
      In early 2025, Mark Penn, Founder, CEO and Chairman of Stagwell, a global marketing company with a network of over 70+ agencies that served over 4000 blue-chip customers across 40 countries, was looking at ways that marketers should navigate the disruption emanating... View Details
      Keywords: Advertising; Innovation Strategy; Change Management; AI and Machine Learning; Digital Transformation; Technology Adoption; Marketing Strategy; Service Delivery; Creativity; Business Model; Technology Industry; Technology Industry
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      Srinivasan, Suraj, and Radhika Kak. "Stagwell: AI and the Future of Marketing." Harvard Business School Case 125-089, March 2025.
      • March 2025
      • Case

      Metaphysic AI: Rethinking the Value of Human Expertise

      By: Zoë B. Cullen, Shikhar Ghosh and Shweta Bagai
      In early 2025, Thomas Graham, CEO of Metaphysic, a leading AI generative video company confronted fundamental questions about who should control digital identity in a world where AI could perfectly recreate human likeness. Founded in 2021, Metaphysic first rose to fame... View Details
      Keywords: Business Model; Ethics; AI and Machine Learning; Intellectual Property; Rights; Negotiation; Value; Technology Industry; Technology Industry
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      Cullen, Zoë B., Shikhar Ghosh, and Shweta Bagai. "Metaphysic AI: Rethinking the Value of Human Expertise." Harvard Business School Case 825-146, March 2025.
      • March 2025
      • Case

      Fostering Community at Airbnb (A)

      By: Jeffrey T. Polzer, Heather Whiteman and Sarah Mehta
      Set in November 2020, this case explores Airbnb’s efforts to foster a culture of belonging, particularly given the impact of the COVID-19 pandemic on the company’s workforce. It details how Airbnb used employee surveys and organizational network analysis (ONA)—a... View Details
      Keywords: Change; Communication; Competency and Skills; Human Resources; Surveys; Information Technology; Health Pandemics; Organizational Culture; Networks; Technology Industry; Technology Industry; Technology Industry; United States; California
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      Polzer, Jeffrey T., Heather Whiteman, and Sarah Mehta. "Fostering Community at Airbnb (A)." Harvard Business School Case 425-045, March 2025.
      • March 2025
      • Supplement

      Fostering Community at Airbnb (B)

      By: Jeffrey T. Polzer, Heather Whiteman and Sarah Mehta
      This case provides updates to “Fostering Community at Airbnb (A),” case no. 425-045. View Details
      Keywords: Change; Communication; Competency and Skills; Human Resources; Information; Information Technology; Technology Industry; Technology Industry; Technology Industry; United States; California
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      Polzer, Jeffrey T., Heather Whiteman, and Sarah Mehta. "Fostering Community at Airbnb (B)." Harvard Business School Supplement 425-046, March 2025.
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