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September–October 2024
Article

How AI Can Power Brand Management

By: Julian De Freitas and Elie Ofek

Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it... View Details

Keywords: Creativity; AI and Machine Learning; Brands and Branding; Product Positioning; Customer Focus and Relationships

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March 2024 (Revised April 2025)
Case

TELEXISTENCE Inc.

By: Paul A. Gompers and Akiko Saito

A case about a Japanese robotics startup aiming to enter the U.S. market with its robots that combine AI and human intervention to complete restocking tasks in retail stores. View Details

Keywords: Business Startups; Entrepreneurship; Market Entry and Exit; Technology Adoption; Decisions; AI and Machine Learning; Retail Industry; Technology Industry; Japan; United States

February 2024
Case

SundaySky: Changing Customer Experiences through Personalized Video

By: David C. Edelman and James Barnett

In June 2023, SundaySky CEO Jim Dicso considers growth strategies. The software-as-a-service company provided software to create advertising videos, customer service videos, and other videos, like employee training modules, and had begun to pilot a new generative... View Details

Keywords: Advertising; Strategy; Technology Adoption; AI and Machine Learning; Applications and Software; Growth and Development Strategy; Advertising Industry; Technology Industry; United States

Article

AI Companions Reduce Loneliness

By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet K. Uğuralp and Stefano Puntoni

Chatbots are now able to engage in sophisticated conversations with consumers in the domain of relationships, providing a potential coping solution to widescale societal loneliness. Behavioral research provides little insight into whether these applications are... View Details

Keywords: AI and Machine Learning; Well-being; Emotions; Applications and Software

May 9, 2023
Article

8 Questions About Using AI Responsibly, Answered

By: Tsedal Neeley

Generative AI tools are poised to change the way every business operates. As your own organization begins strategizing which to use, and how, operational and ethical considerations are inevitable. This article delves into eight of them, including how your organization... View Details

Keywords: AI and Machine Learning; Organizational Change and Adaptation; Prejudice and Bias; Ethics

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April 2024
Case

ChatGPT Enters the Voice Wars 2024

By: David B. Yoffie and Sarah von Bargen

OpenAI joined the Voice Wars in September 2023 when it launched its voice feature for ChatGPT. Initially only available to Pro subscribers, ChatGPT gave free access to all users two months later. It formed partnerships with a variety of companies, including carmakers,... View Details

Keywords: AI and Machine Learning; Partners and Partnerships; Lawsuits and Litigation; Technology Adoption; Market Entry and Exit; Technology Industry

February 2024
Teaching Note

TimeCredit

By: Emanuele Colonnelli, Raymond Kluender and Shai Benjamin Bernstein

Teaching Note for HBS Case No. 824-139. TimeCredit is an artificial intelligence (AI) startup that is developing large language models (LLMs) to generate accounting memos. The case follows Ndonga Sagnia, a Gambian Harvard Business School MBA student with an accounting... View Details

Keywords: Accounting; Business Startups; Entrepreneurship; Financing and Loans; AI and Machine Learning; Entrepreneurial Finance; Identity; Partners and Partnerships; Technology Industry

March 2022
Article

Winner Takes All? Tech Clusters, Population Centers, and the Spatial Transformation of U.S. Invention

By: Brad Chattergoon and William R. Kerr

U.S. invention has become increasingly concentrated around major tech centers since the 1970s, with implications for how much cities across the country share in concomitant local benefits. Is invention becoming a winner-takes-all race? We explore the rising spatial... View Details

Keywords: Clusters; Invention; Agglomeration; Artificial Intelligence; Innovation and Invention; Patents; Applications and Software; Industry Clusters; AI and Machine Learning

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September 17, 2021
Article

AI Can Help Address Inequity—If Companies Earn Users' Trust

By: Shunyuan Zhang, Kannan Srinivasan, Param Singh and Nitin Mehta

While companies may spend a lot of time testing models before launch, many spend too little time considering how they will work in the wild. In particular, they fail to fully consider how rates of adoption can warp developers’ intent. For instance, Airbnb launched a... View Details

Keywords: Artificial Intelligence; Algorithmic Bias; Technological Innovation; Perception; Diversity; Equality and Inequality; Trust; AI and Machine Learning

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2024
Working Paper

Old Moats for New Models: Openness, Control, and Competition in Generative AI

By: Pierre Azoulay, Joshua L. Krieger and Abhishek Nagaraj

Drawing insights from the field of innovation economics, we discuss the likely competitive environment shaping generative AI advances. Central to our analysis are the concepts of appropriability—whether firms in the industry are able to control the knowledge generated... View Details

Keywords: Technological Innovation; AI and Machine Learning; Open Source Distribution; Policy

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July 2024
Article

Chatbots and Mental Health: Insights into the Safety of Generative AI

By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp and Stefano Puntoni

Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details

Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics

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September 2023
Case

Ada: Cultivating Investors

By: Reza Satchu and Patrick Sanguineti

Mike Murchison, co-founder and CEO of Ada, has an enviable dilemma. Launched in 2016 by Murchison and his co-founder David Hariri, Ada is an AI-native company that aims to revolutionize how businesses approach customer service. The company has already attracted a buzz,... View Details

Keywords: Founder; Fundraising; Business Startups; Decisions; Entrepreneurship; Venture Capital; AI and Machine Learning; Technology Industry

February 2024 (Revised September 2024)
Case

TimeCredit

By: Emanuele Colonnelli, Raymond Kluender and Shai Benjamin Bernstein

TimeCredit is an artificial intelligence (AI) startup that is developing large language models (LLMs) to generate accounting memos. The case follows Ndonga Sagnia, a Gambian Harvard Business School MBA student with an accounting background, as she decides how much... View Details

Keywords: Accounting; Business Startups; Entrepreneurship; Financing and Loans; AI and Machine Learning; Entrepreneurial Finance; Identity; Technology Industry

February 2021 (Revised June 2021)
Case

Bairong and the Promise of Big Data

By: Lauren Cohen, Xiaoyan Zhang and Spencer C.N. Hagist

Bairong CEO Felix Zhang, in launching his credit scoring start-up that incorporates 74,000 variables per individual, found strong initial success. However, the shifting regulatory environment, growing breadth of competitors, difficulties in retaining top talent, and... View Details

Keywords: Fintech; Big Data; Artificial Intelligence; Credit Scoring; Finance; Credit; Business Startups; AI and Machine Learning; Analytics and Data Science; China

2023
Working Paper

Black-box Training Data Identification in GANs via Detector Networks

By: Lukman Olagoke, Salil Vadhan and Seth Neel

Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if... View Details

Keywords: Cybersecurity; Copyright; AI and Machine Learning; Analytics and Data Science

April 2024
Case

Managing AI Risks in Consumer Banking

By: Suraj Srinivasan, Satish Tadikonda, Paul Dongha, Manoj Saxena and Radhika Kak

In early 2024, Ruth Jones, head of digital banking at Signa Bank, a (fictitious) European consumer bank, was thinking about how to best incorporate GenAI capabilities to improve efficiencies and create new ways to improve the customer experience. Where were the biggest... View Details

Keywords: Customer Relationship Management; AI and Machine Learning; Risk Management; Opportunities; Customization and Personalization; Banking Industry; Europe

2025
Working Paper

Global Evidence on Gender Gaps and Generative AI

By: Nicholas G. Otis, Solène Delecourt, Katelynn Cranney and Rembrand Koning

Generative AI has the potential to transform productivity and reduce inequality, but only if adopted broadly. In this paper, we show that recently identified gender gaps in generative AI use are nearly universal. Synthesizing data from 18 studies covering more than... View Details

Keywords: AI and Machine Learning; Gender; Equality and Inequality; Technology Adoption; Behavior

January 2025
Article

Reducing Prejudice with Counter-stereotypical AI

By: Erik Hermann, Julian De Freitas and Stefano Puntoni

Based on a review of relevant literature, we propose that the proliferation of AI with human-like and social features presents an unprecedented opportunity to address the underlying cognitive and affective drivers of prejudice. An approach informed by the psychology of... View Details

Keywords: Prejudice and Bias; AI and Machine Learning; Interpersonal Communication; Social and Collaborative Networks

June 2021
Article

From Predictions to Prescriptions: A Data-driven Response to COVID-19

By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng

The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at... View Details

Keywords: COVID-19; Health Pandemics; AI and Machine Learning; Forecasting and Prediction; Analytics and Data Science

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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