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- April 2025
- Case
JPMorganChase: Leadership in the Age of GenAI
By: Iavor I. Bojinov, Karim R. Lakhani and David Lane
Keywords: Banks and Banking; Governance Controls; Information Technology; AI and Machine Learning; Analytics and Data Science; Cybersecurity; Digital Platforms; Digital Transformation; Information Management; Information Infrastructure; Technology Adoption; Job Cuts and Outsourcing; Knowledge Management; Knowledge Sharing; Leading Change; Growth and Development Strategy; Marketing; Product Development; Performance Improvement; Customization and Personalization; Financial Services Industry; United States
- April 2025
- Article
Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile
By: Shunyuan Zhang, Elizabeth Friedman, Kannan Srinivasan, Ravi Dhar and Xupin Zhang
Non-informational cues, such as facial expressions, can significantly influence judgments and interpersonal impressions. While past research has explored how smiling affects business outcomes in offline or in-store contexts, relatively less is known about how smiling... View Details
- 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
Private Equity and Workers: Modeling and Measuring Monopsony, Reallocation, and Trust
By: Kyle Herkenhoff, Josh Lerner, Gordon M. Phillips, Francisca Rebelo and Benjamin Sampson
We measure the real effects of private equity buyouts on worker outcomes by building a new
database that links transactions to matched employer-employee data in the United States. To
guide our empirical analysis, we derive testable implications from three theories in... 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
- 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 trailblazing "answer engine" valued at $9 billion. Led by founder Aravind Srinivas, Perplexity AI had boldly positioned itself as the disruptor aiming to redefine search altogether. Through... View Details
- March 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
- 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
- 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
- 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
- 2025
- Working Paper
Blockchain-Induced Supply Chain Transparency and Firm Performance: The Role of Capacity Utilization
By: ShinWoo Lee Lee, Jedson Pinto, Daniel Rabetti and Gil Sadka
This study empirically investigates how blockchain adoption affects firm profitability. Employing a quasi-experimental design triggered by regulatory changes across the United States, we provide novel empirical evidence to recent theory, proposing that blockchain... View Details
- 2025
- Working Paper
Is Love Blind? AI-Powered Trading with Emotional Dividends
By: Valeria Fedyk, Daniel Rabetti and Stella Kong
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: AI and Machine Learning
- 2025
- Working Paper
Blockchain Adoption and Audit Quality
By: Mei Luo, Daniel Rabetti and Shuangchen Yu
This study examines the impact of blockchain adoption in the corporate setting. Specifically, we provide comprehensive empirical support to recent theory (Cao, Cong, and Young, 2024) proposing that blockchain adoption positively affects endogenous audit quality and... View Details
- 2025
- Working Paper
A Cognitive Theory of Reasoning and Choice
By: Pedro Bordalo, Nicola Gennaioli, Giacomo Lanzani and Andrei Shleifer
We present a theory of decisions in which attention to the features of choice options is determined by the decision maker's categorization of the current choice problem in a set of problems she solved in the past. Categorization depends on goal-relevant as well as... View Details
- February 2025
- Article
Deep Responsibility, SDGs, and Asia: A Historical Perspective
By: Geoffrey Jones
Although it was only in 2015 the 17 SDGs were adopted by UN Member States, many of the underlying ideas can be found in the strategies of some businesses going back to the nineteenth century. Asia was the home of many of the most advanced concepts of business... View Details
- 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
- 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
- January 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
- 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
- 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