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    • All HBS Web  (9,259)
      • Faculty Publications  (924)

      Learning From FailureRemove Learning From Failure →

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      • 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.
      • 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.
      • Working Paper

      Shifting Work Patterns with Generative AI

      By: Eleanor W. Dillon, Sonia Jaffe, Nicole Immorlica and Christopher T. Stanton
      We present evidence on how generative AI changes the work patterns of knowledge workers using data from a 6-month-long, cross-industry, randomized field experiment. Half of the 7,137 workers in the study received access to a generative AI tool integrated into the... View Details
      Keywords: AI and Machine Learning; Behavior; Time Management
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      Dillon, Eleanor W., Sonia Jaffe, Nicole Immorlica, and Christopher T. Stanton. "Shifting Work Patterns with Generative AI." NBER Working Paper Series, No. 33795, May 2025.
      • 2024
      • Case

      EPCorp: Convincing the C-Suite

      By: Jacob M. Cook
      In EPCorp: Convincing the C-Suite, Shivani Bahl is attempting to sell EPCorp's CEO, Debbie Sullivan, on her ideas for not only a new website upgrade but also a more expansive vision on how data and Generative AI can be used to grow the company. Debbie is understandably... View Details
      Keywords: AI and Machine Learning; E-commerce; Growth and Development Strategy
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      Cook, Jacob M. "EPCorp: Convincing the C-Suite." Harvard Business Publishing Case, 2024. (Quick Case.)
      • May–June 2025
      • Article

      Sustainability as a Business-Model Transformation

      By: Ivanka Visnjic, Felipe Monteiro and Michael L. Tushman
      Many global companies have made public commitments to sustainability targets. Fulfilling these commitments will require firms to transform their business models and organizational architectures. A few pioneers are leading the way, demonstrating that companies can make... View Details
      Keywords: Environmental Sustainability; Business Model
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      Visnjic, Ivanka, Felipe Monteiro, and Michael L. Tushman. "Sustainability as a Business-Model Transformation." Harvard Business Review 103, no. 3 (May–June 2025): 80–89.
      • May 2025
      • Case

      Windsurf and the AI Code Assistant Market

      By: Suraj Srinivasan, Sudhanshu Nath Mishra and Radhika Kak
      In April 2025, the founding team of Windsurf, an AI start-up specializing in code generation gathered in Mountain View, California, to assess its remarkable year of growth. The company had scaled from a niche GitHub Copilot alternative to a breakout player with over... View Details
      Keywords: AI and Machine Learning; Venture Capital; Innovation Leadership; Technological Innovation; Technology Industry; United States
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      Srinivasan, Suraj, Sudhanshu Nath Mishra, and Radhika Kak. "Windsurf and the AI Code Assistant Market." Harvard Business School Case 125-111, May 2025.
      • April 2025 (Revised May 2025)
      • Case

      Adobe: GenAI Opportunity or Threat?

      By: Sunil Gupta, Rajiv Lal and Allison Ciechanover
      In December 2022, Adobe CEO Shantanu Narayen faced a pivotal strategic decision due to the rapid rise of generative AI image models from OpenAI, Midjourney, and StabilityAI. Adobe, a leader in digital media and marketing software with a 40-year legacy of innovation and... View Details
      Keywords: Customer Relationship Management; Ethics; AI and Machine Learning; Trust; Business Strategy; Technology Industry; San Jose
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      Gupta, Sunil, Rajiv Lal, and Allison Ciechanover. "Adobe: GenAI Opportunity or Threat?" Harvard Business School Case 525-052, April 2025. (Revised 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.
      • 2025
      • Working Paper

      Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs

      By: Mengjie Cheng, Elie Ofek and Hema Yoganarasimhan
      We study how media firms can use LLMs to generate news content that aligns with multiple objectives—making content more engaging while maintaining a preferred level of polarization/slant consistent with the firm’s editorial policy. Using news articles from The New York... View Details
      Keywords: Large Language Models; Content Creation; Media; Polarization; Generative Ai; Direct Preference Optimization; AI and Machine Learning; News; Perspective; Digital Marketing; Policy; Media and Broadcasting Industry
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      Cheng, Mengjie, Elie Ofek, and Hema Yoganarasimhan. "Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs." Harvard Business School Working Paper, No. 25-051, April 2025.
      • April 2025
      • Case

      Joe Mazzulla and the Boston Celtics (A)

      By: Linda A. Hill, James I. Cash and Lydia Begag
      Joe Mazzulla's leadership journey with the Boston Celtics began in 2016 when he served as an assistant coach for their NBA G-League affiliate. In 2019, he was promoted to a "behind-the-bench" assistant coaching role with the Celtics, before being asked to become the... View Details
      Keywords: Personal Development and Career; Change Management; Communication; Values and Beliefs; Innovation and Invention; Decision Making; Innovation Leadership; Collaborative Innovation and Invention; Leadership; Leading Change; Leadership Development; Leadership Style; Crisis Management; Management Skills; Business Processes; Organizational Culture; Organizational Structure; Performance Efficiency; Sports Industry; Entertainment and Recreation Industry; United States
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      Hill, Linda A., James I. Cash, and Lydia Begag. "Joe Mazzulla and the Boston Celtics (A)." Harvard Business School Case 425-059, April 2025.
      • March–April 2025
      • Article

      Strategy in an Era of Abundant Expertise: How to Thrive When AI Makes Knowledge and Know-How Cheaper and Easier to Access

      By: Bobby Yerramilli-Rao, John Corwin, Yang Li and Karim R. Lakhani
      The AI era is in its early stages, and the technology is evolving extremely quickly. Providers are rapidly introducing AI "copilots," "bots," and "assistants" into applications to augment employees' workflows. Examples include GitHub Copilot for coding, ServiceNow... View Details
      Keywords: AI; AI and Machine Learning; Performance Productivity; Experience and Expertise; Technology Adoption
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      Yerramilli-Rao, Bobby, John Corwin, Yang Li, and Karim R. Lakhani. "Strategy in an Era of Abundant Expertise: How to Thrive When AI Makes Knowledge and Know-How Cheaper and Easier to Access." Harvard Business Review 103, no. 2 (March–April 2025): 72–81.
      • 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 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

      Silicon Valley Bank: Gone in 36 Hours

      By: Jung Koo Kang, Krishna G. Palepu, Charles C.Y. Wang and David Lane
      This case examines factors contributing to the collapse of Silicon Valley Bank (SVB) in March 2023, an event as unpredicted as it was quick. SVB funded nearly half of all U.S. venture-backed startups and at the end of 2022 held $173 billion in deposits, largely... View Details
      Keywords: Accounting Standards; Bank Runs; Financial Accounting; Financial Reporting; Social Media; Banks and Banking; Financing and Loans; Investment Portfolio; Interest Rates; Debt Securities; Risk and Uncertainty; Financial Statements; Risk Management; Failure; Fair Value Accounting; Credit; Corporate Governance; Financial Services Industry; Banking Industry; United States
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      Kang, Jung Koo, Krishna G. Palepu, Charles C.Y. Wang, and David Lane. "Silicon Valley Bank: Gone in 36 Hours." Harvard Business School Case 125-094, 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; 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.
      • 2025
      • Working Paper

      How to Choose Among Technologies with Learning Curves: Making Better Investment Decisions

      By: Christian Kaps and Arielle Anderer
      Learning curves, the fact that technologies improve as a function of cumulative experience or investment, are desirable-think inexpensive solar panels or higher performing semiconductors. But, for firms that need to pick one technology among several candidates, such as... View Details
      Keywords: Learning Curve; Technology; Innovation; Batteries; Energy Storage; Sequential Decision Making; TELCO; Exploration; Exploitation; Problems and Challenges; Cost vs Benefits; Technology Adoption; Battery Industry
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      Kaps, Christian, and Arielle Anderer. "How to Choose Among Technologies with Learning Curves: Making Better Investment Decisions." Working Paper, 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.
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