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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; Technology Industry; Health Industry; Asia; India; South Asia

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

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

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

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

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

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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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

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

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

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

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

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

January 2025
Case

Hebbia: Redefining Productivity for Knowledge Workers Using AI

By: Suraj Srinivasan and Minoshka Narayan

In early 2025, George Sivulka, founder and CEO of Hebbia, reflected on the company’s rapid ascent as a pioneer in GenAI-powered productivity tools for knowledge workers. With its proprietary technology, Hebbia had redefined information retrieval and analysis and earned... View Details

Keywords: Transformation; Customer Relationship Management; AI and Machine Learning; Innovation and Management; Innovation Strategy; Service Delivery; Technological Innovation; Growth and Development Strategy; Competitive Strategy; Banking Industry; Financial Services Industry; Technology Industry; United States; New York (city, NY)

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

January 2025
Teaching Note

AGENTS.inc: Pathways to Growth at an AI Startup

By: Frank Nagle and Susan Pinckney

Teaching Note for HBS Case No. 724-444. In 2024, AI agent startup company AGENTS.inc faced multiple strategic decisions that could shape the company’s ability to grow into the future AI agent market leader. View Details

Keywords: Business Startups; AI and Machine Learning; Growth and Development Strategy; Open Source Distribution; Entrepreneurial Finance; Competition; Computer Industry; Technology Industry; Europe; Germany

January 2025
Case

Summer Health: Raising an AI-First Company?

By: Jeffrey J. Bussgang, Sarah Mehta and Maxim Pike Harrell

In October 2023, Summer Health CEO Ellen DaSilva arrived at a defining juncture for her pediatric telehealth startup. Founded in 2021, Summer Health offered parents rapid access to licensed pediatricians via text message. DaSilva, an experienced telehealth executive,... View Details

Keywords: AI and Machine Learning; Technology Adoption; Entrepreneurship; Leadership; Business Startups; Health Care and Treatment; Business Strategy; Product Development; Health Industry; Telecommunications Industry; United States

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

January 2025
Case

Intuition Robotics: An AI Companion for Older Adults

By: Amit Goldenberg, Elie Ofek and Orna Dan

Intuition Robotics, a startup that makes an AI companion robot to alleviate older adults’ loneliness, debates whether to pursue a B2C model or B2G route. If it opts for the government vertical, it must determine how to negotiate a favorable deal. Two weeks after... View Details

Keywords: Business Model; Business Startups; AI and Machine Learning; Technology Adoption; Product Launch; Market Entry and Exit; Negotiation Offer; Business and Government Relations; Health Industry; Technology Industry; United States; New York (state, US)

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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