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- Article
Using Gen AI for Early-Stage Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Generative AI, particularly large language models (LLMs), offers a promising new tool for early-stage market research by simulating customer responses to product concepts. This can allow companies to draw conclusions similar to those they’d obtain by surveying... View Details
- June 2025
- Case
Accounting for OpenAI at Microsoft
By: Jonas Heese, Joseph Pacelli, Nicole Zelazko and Michael Norris
In early 2025, Microsoft was evaluating the impact of its $14 billion investment in OpenAI. As OpenAI’s computing needs expanded, Microsoft positioned Azure as the exclusive provider for training and inference of their large language models. Despite the scale of the... View Details
- June 2025
- Article
Ideation with Generative AI—In Consumer Research and Beyond
By: Julian De Freitas, G. Nave and Stefano Puntoni
The use of large language models (LLMs) in consumer research is rapidly evolving, with applications including synthetic data generation, data analysis, and more. However, their role in creative ideation—a cornerstone of consumer research—remains underexplored. Drawing... View Details
- June 2025
- Article
Unregulated Emotional Risks of AI Wellness Apps
By: Julian De Freitas and Glenn Cohen
We propose that AI-driven wellness apps powered by large language models can foster extreme emotional attachments and dependencies akin to human relationships—posing risks like ambiguous loss and dysfunctional dependence—that challenge current regulatory frameworks and... View Details
- 2025
- Working Paper
Trade and Industrial Policy in Supply Chains: Directed Technological Change in Rare Earths
By: Laura Alfaro, Harald Fadinger, Jay Schymik and Gede Virananda
Trade and industrial policies, while primarily intended to support domestic industries, may unintentionally stimulate technological progress abroad. We document this mechanism in the case of rare earth elements (REEs)—critical inputs for manufacturing at the knowledge... View Details
- 2025
- Working Paper
Partisan Corporate Speech
By: William Cassidy and Elisabeth Kempf
We construct a novel measure of partisan corporate speech using natural language
processing techniques and use it to establish three stylized facts. First, the volume
of partisan corporate speech has risen sharply between 2012 and 2022. Second, this
increase has... View Details
- 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
- 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
- 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; Decision Making; Innovation Leadership; Collaborative Innovation and Invention; 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; Boston
- April 2025
- Supplement
Joe Mazzulla and the Boston Celtics (B)
By: Linda A. Hill, James I. Cash and Lydia Begag
This case is a supplement to “Joe Mazzulla and the Boston Celtics” (A) and is set against the backdrop of the 2024 NBA Finals. It describes the impact of Mazzulla’s decision to rally his team with an aggressive “go for the kill” mindset instead of choosing language... View Details
Keywords: Personal Development and Career; Change Management; Communication; Values and Beliefs; Decision Making; Innovation Leadership; Collaborative Innovation and Invention; 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
- 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
- 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
- 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
- January 2025
- Case
Netflix: Takedown Troubles
By: Clayton S. Rose, Tom Quinn and Maxim Pike Harrell
In October 2021, Netflix Co-CEO Ted Sarandos sent an all-staff email addressing backlash to comedian Dave Chappelle’s new stand-up special, The Closer. Released on October 5, the comedian’s depiction of the transgender community and other LGBTQ+ groups prompted... View Details
Keywords: Disruption; Talent and Talent Management; Customer Satisfaction; Cost vs Benefits; Demographics; Ethics; Corporate Accountability; Employees; Recruitment; Retention; Leadership; Crisis Management; Risk Management; Corporate Social Responsibility and Impact; Mission and Purpose; Organizational Change and Adaptation; Organizational Culture; Civil Society or Community; Social Issues; Strategic Planning; Adaptation; Decisions; Motion Pictures and Video Industry
- January–February 2025
- Article
The Double-Edged Sword of Exemplar Similarity
By: Majid Majzoubi, Eric Zhao, Tiona Zuzul and Greg Fisher
We investigate how a firm’s positioning relative to category exemplars shapes security analysts’ evaluations. Using a two-stage model of evaluation (initial screening and subsequent assessment), we propose that exemplar similarity enhances a firm’s recognizability and... View Details
- 2024
- Working Paper
Scaling Core Earnings Measurement with Large Language Models
By: Matthew Shaffer and Charles CY Wang
We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
- 2024
- Working Paper
Climate Solutions, Transition Risk, and Stock Returns
By: Shirley Lu, Edward J. Riedl, Simon Xu and George Serafeim
Using large language models to measure firms' climate solution products and services, we find that high-climate solution firms exhibit lower stock returns and higher market valuation multiples. Their stock prices respond positively to events signaling increased demand... View Details
- 2024
- Working Paper
Catalysts for Climate Solutions: Corporate Responses to Venture Capital Financing of Climate-tech Startups
By: Shirley Lu, George Serafeim and Simon Xu
We study whether incumbent firms increase their product focus on climate solutions in response to venture capital (VC) financing of climate-tech startups. Using large language models to measure a firm's focus on climate solutions, we find that incumbents in similar... View Details
- September–October 2024
- Article
The Crowdless Future? Generative AI and Creative Problem-Solving
The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships. To explore this potential, we initiated a crowdsourcing challenge focused on sustainable, circular economy... View Details
- September 2024
- Case
Xendit: Hiring for Growth
By: Jeffrey F. Rayport, Steve Castano, Quoc Anh Nguyen and Claire Wu
In 2019, Xendit, a growth-stage Southeast Asia (SEA) fintech venture based in Jakarta, was looking to hire a Head of Sales and Head of Product to lead its next phase of growth. Founded by Moses Lo and Tessa Wijaya, Xendit provided payment infrastructure, modeling... View Details