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Publications

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      AI and Machine LearningRemove AI and Machine Learning →

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      • April 2025 (Revised April 2025)
      • Case

      JPMorganChase: Leadership in the Age of GenAI

      By: Iavor I. Bojinov, Karim R. Lakhani and David Lane
      This case study examines JPMorgan Chase's (JPMC) journey in adopting and implementing Generative AI (GenAI) following the release of ChatGPT. It outlines JPMC's initial cautious approach focused on data security, followed by strategic investments in internal platforms... View Details
      Keywords: Banks and Banking; Governance Controls; Information Technology; AI and Machine Learning; Analytics and Data Science; Cybersecurity; Digital Platforms; Digital Transformation; Information Management; Information Infrastructure; Technology Adoption; Job Cuts and Outsourcing; Knowledge Management; Knowledge Sharing; Leading Change; Growth and Development Strategy; Marketing; Product Development; Performance Improvement; Customization and Personalization; Financial Services Industry; United States
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      Bojinov, Iavor I., Karim R. Lakhani, and David Lane. "JPMorganChase: Leadership in the Age of GenAI." Harvard Business School Case 325-066, April 2025. (Revised April 2025.)
      • April 2025
      • Case

      Breezm: Innovative 3D-Printed Eyewear (A)

      By: Juan Alcácer, Brian Mao Fu and Adina Wong
      In 2023, Breezm, a South Korean startup, faced a strategic decision about how to grow its innovative 3D-printed, custom-fit eyewear business. Co-founded in 2017 by Zenma Park and Wooseok Sung, Breezm combined facial scanning, AI, and in-house production to solve the... View Details
      Keywords: 3D Printing; Eyeyewear; Growth; Business Startups; AI and Machine Learning; Technological Innovation; Growth and Development Strategy; Risk and Uncertainty; Expansion; South Korea
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      Alcácer, Juan, Brian Mao Fu, and Adina Wong. "Breezm: Innovative 3D-Printed Eyewear (A)." Harvard Business School Case 725-376, 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.
      • April 2025
      • Article

      Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile

      By: Shunyuan Zhang, Elizabeth Friedman, Kannan Srinivasan, Ravi Dhar and Xupin Zhang
      Non-informational cues, such as facial expressions, can significantly influence judgments and interpersonal impressions. While past research has explored how smiling affects business outcomes in offline or in-store contexts, relatively less is known about how smiling... View Details
      Keywords: Sharing Economy; Airbnb; Image Feature Extraction; Machine Learning; Facial Expressions; Prejudice and Bias; Nonverbal Communication; E-commerce; Consumer Behavior; Perception
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      Zhang, Shunyuan, Elizabeth Friedman, Kannan Srinivasan, Ravi Dhar, and Xupin Zhang. "Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile." Journal of Consumer Research 51, no. 6 (April 2025): 1073–1097.
      • 2025
      • Book

      The Experimentation Machine: Finding Product–Market Fit in the Age of AI

      By: Jeffrey J. Bussgang
      Leverage AI to be a 10x Founder

      Today’s most successful founders know that the startups that learn the fastest will win. In The Experimentation Machine, I reveal how AI is transforming the way startups find product-market fit and scale.... View Details
      Keywords: AI; Founder; Startup; AI and Machine Learning; Technology Adoption; Business Startups; Entrepreneurship; Market Entry and Exit
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      Bussgang, Jeffrey J. The Experimentation Machine: Finding Product–Market Fit in the Age of AI. Damn Gravity Media, 2025.
      • March 2025
      • Case

      Mobvoi's Path Through Market Challenges and Business Reinvention

      By: Paul A. Gompers and Shu Lin
      Founded in 2012, Mobvoi evolved through multiple transformations—from AI-driven voice technology to smart wearables and later AI-generated content. Backed by major investors, the company navigated shifts in strategy while facing two failed IPO attempts. As market... View Details
      Keywords: Business Startups; Entrepreneurship; AI and Machine Learning; Transformation; Initial Public Offering; Business Strategy; Technology Industry; China
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      Gompers, Paul A., and Shu Lin. "Mobvoi's Path Through Market Challenges and Business Reinvention." Harvard Business School Case 825-158, March 2025.
      • 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).
      • March 2025
      • Case

      Niramai: An AI Solution to Save Lives

      By: Rembrand Koning, Maria P. Roche and Kairavi Dey
      Founded in 2017, Niramai developed Thermalytix, a breast cancer screening tool. Thermalytix used a high-resolution thermal sensing device and machine learning algorithms to analyze thermal images and detect tumors. Its patented solution leveraged big data analytics,... View Details
      Keywords: Entrepreneurship; AI and Machine Learning; Technology Adoption; Health Care and Treatment; Innovation and Management; Entrepreneurial Finance; Business Strategy; Science-Based Business; Technology Industry; Health Industry; Asia; India; South Asia
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      Koning, Rembrand, Maria P. Roche, and Kairavi Dey. "Niramai: An AI Solution to Save Lives." Harvard Business School Case 725-439, March 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 (Revised May 2025)
      • Case

      Xfund and Sam Altman: Finding Harvard's Best Generative AI Founders

      By: Suraj Srinivasan
      On May 1, 2024, Xfund Managing Partners Patrick Chung and Brandon Farwell, hosted a high-stakes venture pitch session designed to select one startup for a minimum $100,000 investment. This “Xperiment Stake” competition, dedicated to startups in the Generative AI... View Details
      Keywords: AI and Machine Learning; Venture Capital; Innovation Leadership; Technological Innovation; Business Startups; Competition; Technology Industry; United States
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      Srinivasan, Suraj. "Xfund and Sam Altman: Finding Harvard's Best Generative AI Founders." Harvard Business School Case 125-090, March 2025. (Revised May 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; Advertising 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; Motion Pictures and Video Industry; Motion Pictures and Video 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 10, 2025
      • Article

      How Gen AI Could Change the Value of Expertise

      By: Joseph Fuller, Matt Sigelman and Michael Fenlon
      In the near future, gen AI is likely to affect some 50 million jobs, automating away elements of some jobs and augmenting workers’ abilities in others. The extent of those changes will compel companies to reshape their organizational structures and rethink their talent... View Details
      Keywords: AI and Machine Learning; Job Cuts and Outsourcing; Organizational Structure; Talent and Talent Management; Personal Development and Career
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      Fuller, Joseph, Matt Sigelman, and Michael Fenlon. "How Gen AI Could Change the Value of Expertise." Harvard Business Review (website) (March 10, 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.
      • March 2025
      • Supplement

      Intuition Robotics: An AI Companion for Older Adults (B)

      By: Amit Goldenberg, Elie Ofek and Orna Dan
      Two years after Intuition Robotics opted to pursue a business-to-government contract with the New York State Office of the Aging, and put direct-to-consumer efforts on the back burner, it was at a crossroads. The partnership had been successful, and the company had... View Details
      Keywords: Business Model; AI and Machine Learning; Resource Allocation; Business and Government Relations; Partners and Partnerships; Business Strategy; Health Industry; Technology Industry; New York (state, US); United States
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      Goldenberg, Amit, Elie Ofek, and Orna Dan. "Intuition Robotics: An AI Companion for Older Adults (B)." Harvard Business School Supplement 925-019, March 2025.
      • March 2025
      • Article

      Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures

      By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani
      The literature on communities of practice demonstrates that a proven way for senior professionals to upskill themselves in the use of new technologies that undermine existing expertise is to learn from junior professionals. It notes that juniors may be better able... View Details
      Keywords: Rank and Position; Competency and Skills; Technology Adoption; Experience and Expertise; AI and Machine Learning
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      Kellogg, Katherine C., Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon, and Karim R. Lakhani. "Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures." Art. 100559. Information and Organization 35, no. 1 (March 2025).
      • February 2025
      • Supplement

      Intenseye: Powering Workplace Health and Safety with AI (B)

      By: Michael W. Toffel, Shane Greenstein and Sadika El Hariri
      Intenseye used its $25 million series A funds to refine and expand its digital safety platform while refining its target markets and ideal customer profile. As the company implemented new approaches to create value for its clients, such as developing an AI-powered... View Details
      Keywords: Safety Performance; Occupational Safety; Innovation; Safety; Operations; Health; AI and Machine Learning; Analytics and Data Science; Digital Transformation; Supply Chain Management; Performance Improvement; Entrepreneurship; Product Development; Customer Relationship Management; Value Creation; Venture Capital; Growth and Development Strategy; Information Technology Industry; United States; Europe; Middle East; Turkey
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      Toffel, Michael W., Shane Greenstein, and Sadika El Hariri. "Intenseye: Powering Workplace Health and Safety with AI (B)." Harvard Business School Supplement 625-025, February 2025.
      • 2025
      • Working Paper

      Is Love Blind? AI-Powered Trading with Emotional Dividends

      By: De-Rong Kong and Daniel Rabetti
      We leverage the non-fungible tokens (NFTs) setting to assess the valuation of emotional dividends (LOVE), a long-standing empirical challenge in private-value markets such as art, antiques, and collectibles. Having created and validated our proxy, we use deep learning... View Details
      Keywords: NFTs; Non-fungible Tokens; AI and Machine Learning; Valuation; Financial Markets
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      Kong, De-Rong, and Daniel Rabetti. "Is Love Blind? AI-Powered Trading with Emotional Dividends." Working Paper, 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).
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