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- All HBS Web
(15,411)
- Faculty Publications (5,096)
- 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
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
- 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
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; Technology Industry; United States
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
- Supplement
Wasabi Technologies (B)
By: Lou Shipley and Stacy Straaberg
Set in 2019, the “Wasabi Technologies (A)” case centers on Wasabi Technologies (Wasabi), a successful hot cloud storage company based in Boston, Massachusetts. Founder and CEO David Friend is ready to scale the four-year-old venture rapidly. Wasabi had so far focused... View Details
Keywords: Information Management; Sales; Product Development; Growth and Development Strategy; Business Strategy; Information Technology Industry; United States; Massachusetts; Boston
Shipley, Lou, and Stacy Straaberg. "Wasabi Technologies (B)." Harvard Business School Supplement 825-035, March 2025.
- 2025
- Working Paper
Transferability MATTRs: Towards Understanding Antecedents of Strategic Licensing
By: Dafna F. Bearson and Maria P. Roche
This paper examines the antecedents of firms’ decisions to license intellectual property
(IP). We propose a conceptual framework emphasizing two critical factors: (1) transferability,
which we define as the ease of moving knowledge embodied in inventions across
firm... View Details
Bearson, Dafna F., and Maria P. Roche. "Transferability MATTRs: Towards Understanding Antecedents of Strategic Licensing." Harvard Business School Working Paper, No. 25-042, March 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
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
- March 2025
- Teaching Plan
Wasabi Technologies (A) and (B)
By: N. Louis Shipley and Stacy Straaberg
Teaching Plan for HBS Case Nos. 823-021 and 825-035. Set in 2019, the “Wasabi Technologies (A)” case centers on Wasabi Technologies (Wasabi), a successful hot cloud storage company based in Boston, Massachusetts. Founder and CEO David Friend is ready to scale the... View Details
- March 2025
- Case
YouTube: Bidding for NFL Sunday Ticket
By: Anita Elberse and Crystal Yao
In December 2022, Erin Teague, a senior director and the global head of sports, movies and shows at YouTube, technology giant Alphabet Inc.’s video- sharing platform, received the news that Sundar Pichai, the chief executive officer of Alphabet and its subsidiary... View Details
Keywords: General Management; Entertainment; Media; Sports; Marketing; Management; Business Strategy; Bids and Bidding; Sports Industry; Entertainment and Recreation Industry
Elberse, Anita, and Crystal Yao. "YouTube: Bidding for NFL Sunday Ticket." Harvard Business School Case 525-045, 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
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
- 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
- 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
Fuller, Joseph, Matt Sigelman, and Michael Fenlon. "How Gen AI Could Change the Value of Expertise." Harvard Business Review (website) (March 10, 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
Kaps, Christian, and Arielle Anderer. "How to Choose Among Technologies with Learning Curves: Making Better Investment Decisions." Working Paper, 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; Technology Industry; Technology Industry; New York (city, NY); San Francisco; London
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
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.
- 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
- 2025
- Working Paper
Methane Abatement Costs in the Oil and Gas Industry: Survey and Synthesis
By: Joseph E. Aldy, Forest Reinhardt and Robert N. Stavins
There is growing recognition of the relative importance of anthropogenic emissions of methane as a contributor to global climate change. An important source of such emissions in some countries, including the United States, is the oil and gas (O&G) sector. This points... View Details
Keywords: Emission Reduction; Environmental Sustainability; Climate Change; Pollutants; Energy Industry
Aldy, Joseph E., Forest Reinhardt, and Robert N. Stavins. "Methane Abatement Costs in the Oil and Gas Industry: Survey and Synthesis." NBER Working Paper Series, No. 33564, 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
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).