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      • March 27, 2025
      • Article

      How One Company Used AI to Broaden Its Customer Base

      By: Sunil Gupta and Frank V. Cespedes
      The software company SAP successfully leveraged AI tools to begin selling to the small and medium enterprises (SMEs) market, which had previously been uneconomical for its in-person sales approach. By mapping the customer journey and deploying over 40 AI tools, SAP... View Details
      Keywords: AI and Machine Learning; Sales; Business Strategy; Market Entry and Exit
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      Gupta, Sunil, and Frank V. Cespedes. "How One Company Used AI to Broaden Its Customer Base." Harvard Business Review (website) (March 27, 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 (Revised April 2025)
      • Case

      Perplexity: Redefining Search

      By: Suraj Srinivasan, Michelle Hu, Sriraghav Srinivasan and Radhika Kak
      By early 2025, Perplexity had rapidly evolved from a modest startup into a popular "answer engine" valued at $9 billion. The company had boldly positioned itself as the disruptor to Google aiming to redefine search for the AI age. Through novel AI... View Details
      Keywords: AI and Machine Learning; Venture Capital; Innovation Leadership; Technological Innovation; Internet and the Web; Business Startups; Competitive Strategy; Business Model; Technology Industry; United States
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      Srinivasan, Suraj, Michelle Hu, Sriraghav Srinivasan, and Radhika Kak. "Perplexity: Redefining Search." Harvard Business School Case 125-093, March 2025. (Revised April 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; Motion Pictures and Video 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 (Revised March 2025)
      • Case

      Good for the Seller, Good for the Buyer and Good for Society: Sampo-yoshi, Sustainability and Trust at ITOCHU

      By: Sandra J. Sucher and Bethelehem Y Araya
      In 2024, ITOCHU CEO Masahiro Okafuji was at a crossroads. As the thirteenth CEO since ITOCHU’s founding in 1858, he had fueled the company’s growth since 2011 by bringing ITOCHU’s founding philosophy of Sampo-yoshi (good for the seller, good for the buyer and... View Details
      Keywords: Sustainability; Trust; Profit; Growth and Development Strategy; Organizational Change and Adaptation; Mission and Purpose; Corporate Social Responsibility and Impact; Environmental Sustainability; Japan
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      Sucher, Sandra J., and Bethelehem Y Araya. "Good for the Seller, Good for the Buyer and Good for Society: Sampo-yoshi, Sustainability and Trust at ITOCHU." Harvard Business School Case 325-053, March 2025. (Revised March 2025.)
      • March 2025
      • Case

      Harvey: AI for Lawyers

      By: Suraj Srinivasan, Charles Krumholz and Radhika Kak
      In early 2025, Winston Weinberg and Gabe Pereyra, co-founders of Harvey AI, reflected on the company’s meteoric rise as a pioneer in AI-powered legal technology. Since its founding in 2022, Harvey had transformed how lawyers approached research, drafting, and document... View Details
      Keywords: Innovation Strategy; Business Startups; AI and Machine Learning; Technological Innovation; Growth and Development Strategy; Product Positioning; Legal Services Industry; Technology Industry; New York (city, NY); San Francisco; London
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      Srinivasan, Suraj, Charles Krumholz, and Radhika Kak. "Harvey: AI for Lawyers." Harvard Business School Case 125-087, March 2025.
      • 2025
      • Working Paper

      Incentive-Compatible Recovery from Manipulated Signals, with Applications to Decentralized Physical Infrastructure

      By: Jason Milionis, Jens Ernstberger, Joseph Bonneau, Scott Duke Kominers and Tim Roughgarden
      We introduce the first formal model capturing the elicitation of unverifiable information from a party (the "source") with implicit signals derived by other players (the "observers"). Our model is motivated in part by applications in decentralized physical... View Details
      Keywords: Mathematical Methods; Infrastructure; Information Infrastructure
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      Milionis, Jason, Jens Ernstberger, Joseph Bonneau, Scott Duke Kominers, and Tim Roughgarden. "Incentive-Compatible Recovery from Manipulated Signals, with Applications to Decentralized Physical Infrastructure." Working Paper, March 2025.
      • February 2025
      • Case

      Fly, Fix, Fly at True Anomaly

      By: Joshua Lev Krieger, Jim Matheson, Fiona Murray and David Allen
      How should companies learn from failure? Founded by four U.S. Space Force warfighters, the tough tech startup True Anomaly wanted to compete with major defense contractors to supply the U.S. Department of Defense with satellites and software that could help protect... View Details
      Keywords: Business Startups; Engineering; National Security; Digital Platforms; Failure; Problems and Challenges; Business and Government Relations; Entrepreneurship; Aerospace Industry; United States; Colorado
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      Krieger, Joshua Lev, Jim Matheson, Fiona Murray, and David Allen. "Fly, Fix, Fly at True Anomaly." Harvard Business School Case 825-040, February 2025.
      • February 2025 (Revised April 2025)
      • Case

      Institutional Neutrality, Restraint or Convenience?

      By: Clayton S. Rose, Nicole Zelazko and Alexis Lefort
      In the fall of 2023 and winter of 2024, college campuses across the U.S. experienced protests and encampments in the aftermath of the October 7, 2023 terrorist attack on Israel by the Islamist militant group Hamas, and Israel’s subsequent invasion of Gaza. These... View Details
      Keywords: Distribution; Cost vs Benefits; Ethics; Governance; Leadership; Crisis Management; Risk Management; Corporate Social Responsibility and Impact; Mission and Purpose; Organizational Change and Adaptation; Organizational Culture; Civil Society or Community; Social Issues; Adaptation; Disruption; Communication Strategy; Higher Education; United States
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      Rose, Clayton S., Nicole Zelazko, and Alexis Lefort. "Institutional Neutrality, Restraint or Convenience?" Harvard Business School Case 325-022, February 2025. (Revised April 2025.)
      • 2025
      • Working Paper

      Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning

      By: Liangzong Ma, Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
      Reinforcement learning (RL) offers potential for optimizing sequences of customer interactions by modeling the relationships between customer states, company actions, and long-term value. However, its practical implementation often faces significant challenges.... View Details
      Keywords: Dynamic Policy; Deep Reinforcement Learning; Representation Learning; Dynamic Difficulty Adjustment; Latent Variable Models; Customer Relationship Management; Customer Value and Value Chain; Foreign Direct Investment; Analytics and Data Science
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      Ma, Liangzong, Ta-Wei Huang, Eva Ascarza, and Ayelet Israeli. "Dynamic Personalization with Multiple Customer Signals: Multi-Response State Representation in Reinforcement Learning." Harvard Business School Working Paper, No. 25-037, February 2025.
      • 2025
      • Working Paper

      A Cognitive Theory of Reasoning and Choice

      By: Pedro Bordalo, Nicola Gennaioli, Giacomo Lanzani and Andrei Shleifer
      We present a theory of decisions in which attention to the features of choice options is determined by the decision maker's categorization of the current choice problem in a set of problems she solved in the past. Categorization depends on goal-relevant as well as... View Details
      Keywords: Cognition and Thinking; Perception; Decision Choices and Conditions
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      Bordalo, Pedro, Nicola Gennaioli, Giacomo Lanzani, and Andrei Shleifer. "A Cognitive Theory of Reasoning and Choice." NBER Working Paper Series, No. 33466, February 2025.
      • February 2025
      • Article

      Disclosure, Humanizing, and Contextual Vulnerability of Generative AI Chatbots

      By: Julian De Freitas and I. Glenn Cohen
      In the wake of recent advancements in generative AI, regulatory bodies are trying to keep pace. One key decision is whether to require app makers to disclose the use of generative AI-powered chatbots in their products. We suggest that some generative AI-based chatbots... View Details
      Keywords: AI and Machine Learning; Governing Rules, Regulations, and Reforms; Applications and Software; Well-being
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      De Freitas, Julian, and I. Glenn Cohen. "Disclosure, Humanizing, and Contextual Vulnerability of Generative AI Chatbots." New England Journal of Medicine AI 2, no. 2 (February 2025).
      • January 2025
      • Supplement

      Colbún’s Angostura Dam Project (B)

      By: James K. Sebenius and Nicolas Andrade
      The A case describes Colbún Chile’s plans for the Angostura dam in the Bío Bío River, a hydroelectric construction venture with major challenges given the region’s history of indigenous resistance. This context was especially unfavorable given the highly contentious... View Details
      Keywords: Bargaining; Dam; Stakeholder Analysis; Environmental Negotiation; Negotiation; Conflict and Resolution; Alternative Energy; Natural Environment; Environmental Sustainability; Business and Stakeholder Relations; Energy Industry; Chile
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      Sebenius, James K., and Nicolas Andrade. "Colbún’s Angostura Dam Project (B)." Harvard Business School Supplement 925-017, January 2025.
      • January 2025 (Revised January 2025)
      • Case

      Colbún's Angostura Dam Project (A)

      By: James K. Sebenius and Nicolas Andrade
      The A case describes Colbún Chile’s plans for the Angostura dam in the Bío Bío River, a hydroelectric construction venture with major challenges given the region’s history of indigenous resistance. This context was especially unfavorable given the highly contentious... View Details
      Keywords: Bargaining; Conflict Resolution; Dam; Stakeholder Analysis; Environmental Negotiation; Negotiation; Energy Generation; Construction; Business and Stakeholder Relations; Conflict and Resolution; Energy Industry; Chile
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      Sebenius, James K., and Nicolas Andrade. "Colbún's Angostura Dam Project (A)." Harvard Business School Case 925-016, January 2025. (Revised January 2025.)
      • January 2025
      • Module Note

      Understanding and Addressing Gender Gaps

      By: Katherine Coffman
      This module provides a framework for students to analyze how gender stereotypes, through their impact on beliefs about others and beliefs about ourselves, contribute to gender gaps in the workplace. The module proceeds in three parts. First, through a case and an... View Details
      Keywords: Decisions; Gender; Leadership; Management Practices and Processes; Prejudice and Bias
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      Coffman, Katherine. "Understanding and Addressing Gender Gaps." Harvard Business School Module Note 925-021, January 2025.
      • January 2025 (Revised April 2025)
      • Case

      Duolingo: On a 'Streak'

      By: Jeffrey F. Rayport, Nicole Tempest Keller and Nicole Luo
      In December 2024, Severin Hacker, Co-Founder and Chief Technology Officer of Duolingo, reflected on the remarkable evolution of the language-learning app he helped launch in 2011. As the #1 most downloaded education app in the world, Duolingo had over 100 million... View Details
      Keywords: Learning; AI and Machine Learning; Growth and Development Strategy; Motivation and Incentives; Diversification; Business Model; Market Entry and Exit; Technology Industry; Education Industry; United States
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      Rayport, Jeffrey F., Nicole Tempest Keller, and Nicole Luo. "Duolingo: On a 'Streak'." Harvard Business School Case 825-097, January 2025. (Revised April 2025.)
      • January 2025 (Revised March 2025)
      • Case

      Gavi and the 'Next' Pandemic

      By: Tarun Khanna and Kerry Herman
      In 2025, CEO Dr. Sania Nishtar and her team consider the lessons the Global Alliance for Vaccine and Immunizations (GAVI) learned from the pandemic. GAVI successfully brought COVID-19 vaccines to large swaths of the undeveloped and under-developed world by pooling... View Details
      Keywords: Developing Countries and Economies; Health Care and Treatment; Health Pandemics; Crisis Management; Success; Innovation and Invention; Service Delivery; Organizational Change and Adaptation; Strategic Planning; Pharmaceutical Industry; Africa
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      Khanna, Tarun, and Kerry Herman. "Gavi and the 'Next' Pandemic." Harvard Business School Case 725-351, January 2025. (Revised March 2025.)
      • January 2025
      • Technical Note

      AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix

      By: Tsedal Neeley and Tim Englehart
      This technical note introduces the confusion matrix as a foundational tool in artificial intelligence (AI) and large language models (LLMs) for assessing the performance of classification models, focusing on their reliability for decision-making. A confusion matrix... View Details
      Keywords: Reliability; Confusion Matrix; AI and Machine Learning; Decision Making; Measurement and Metrics; Performance
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      Neeley, Tsedal, and Tim Englehart. "AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix." Harvard Business School Technical Note 425-049, January 2025.
      • Working Paper

      AI in Disguise—How AI-generated Ads' Visual Cues Shape Consumer Perception and Performance

      By: Yannick Exner, Jochen Hartmann, Oded Netzer and Shunyuan Zhang
      Generative AI’s recent advancements in creating content have offered vast potential to transform the advertising industry. This research investigates the impact of generative AI-enabled visual ad creation on real-world advertising effectiveness. For this purpose, we... View Details
      Keywords: Digital Marketing; AI and Machine Learning; Advertising; Consumer Behavior; Advertising Industry
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      Exner, Yannick, Jochen Hartmann, Oded Netzer, and Shunyuan Zhang. "AI in Disguise—How AI-generated Ads' Visual Cues Shape Consumer Perception and Performance." SSRN Working Paper Series, No. 5096969.
      • January 2025
      • Case

      AI Meets VC: The Data-Driven Revolution at Quantum Light Capital

      By: Lauren Cohen, Grace Headinger and Sophia Pan
      Ilya Kondrashov, CEO of Quantum Light Capital, was driven to harness AI for identifying high-potential scale-ups. Collaborating with Nik Storonsky, founder of Revolut, the duo observed that most venture capital (VC) decisions were heavily influenced by emotion, with... View Details
      Keywords: Artificial Intelligence; Business Finance; Data Analysis; Angel Investors; Cognitive Biases; Scale; Venture Capital; Investment; Business Model; Forecasting and Prediction; Technological Innovation; Innovation Strategy; Behavior; Cognition and Thinking; Public Opinion; Private Sector; Business Strategy; Competitive Advantage; Business Earnings; Behavioral Finance; AI and Machine Learning; Analytics and Data Science; Business Startups; Financial Services Industry; London; United Kingdom
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      Cohen, Lauren, Grace Headinger, and Sophia Pan. "AI Meets VC: The Data-Driven Revolution at Quantum Light Capital." Harvard Business School Case 225-053, January 2025.
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