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January 2024
Case

The Financial Times (FT) and Generative AI

By: Andrew Rashbass, Ramon Casadesus-Masanell and Jordan Mitchell

In September 2023, John Ridding, CEO of the Financial Times, was considering the possible impact of Generative AI on the industry and his business. Having navigated successfully the seismic shift from print to digital, and reporting record results, the company... View Details

Keywords: AI and Machine Learning; Technology Adoption; Change Management; Journalism and News Industry

11 Oct 2024
Research & Ideas

How AI Could Ease the Refugee Crisis and Bring New Talent to Businesses

says. “What we’re asking is, can we build algorithms that will help find better matches that will allow people to integrate more easily?” The paper presents data from Switzerland and the United States that showed promise in using machine... View Details

Keywords: by Ben Rand; Technology; Information Technology

December 2024 (Revised January 2025)
Technical Note

A Guide to the Vocabulary, Evolution, and Impact of Artificial Intelligence (AI)

By: Shane Greenstein, Nathaniel Lovin, Scott Wallsten, Kerry Herman and Susan Pinckney

A note on the vocabulary, evolution, and impact of AI. View Details

Keywords: Artificial Intelligence; Software; AI and Machine Learning; Technology Adoption; Technological Innovation; Technology Industry

March 2024
Teaching Note

'Storrowed': A Generative AI Exercise

By: Mitchell Weiss

Teaching Note for HBS Exercise No. 824-188. “Storrowed” is an exercise to help participants raise their proficiency with generative AI. It begins by highlighting a problem: trucks getting wedged underneath bridges in Boston, Massachusetts on the city’s Storrow Drive.... View Details

Keywords: AI and Machine Learning; Entrepreneurship; Innovation and Invention; Government Administration; Transportation Industry; Public Administration Industry

July 2024
Article

AI, ROI, and Sales Productivity

By: Frank V. Cespedes

Artificial intelligence (AI) is now a loose term for many different things and at the peak of its hype curve. So managers hitch-their-pitch to the term in arguing for resources. But like any technology, its business value depends upon actionable use cases embraced by... View Details

Keywords: ROI; AI and Machine Learning; Sales; Investment Return

March 16, 2021
Article

From Driverless Dilemmas to More Practical Commonsense Tests for Automated Vehicles

By: Julian De Freitas, Andrea Censi, Bryant Walker Smith, Luigi Di Lillo, Sam E. Anthony and Emilio Frazzoli

For the first time in history, automated vehicles (AVs) are being deployed in populated environments. This unprecedented transformation of our everyday lives demands a significant undertaking: endowing complex autonomous systems with ethically acceptable behavior. We... View Details

Keywords: Automated Driving; Public Health; Artificial Intelligence; Transportation; Health; Ethics; Policy; AI and Machine Learning

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September 2024
Exercise

Finding Your 'Jagged Frontier': A Generative AI Exercise

By: Mitchell Weiss

In 2023 a set of scholars set out to study the effect of artificial intelligence (AI) on the quality and productivity of knowledge workers—in this specific instance, management consultants. They wanted to know across a range of tasks in a workflow, which, if any, would... View Details

Keywords: AI and Machine Learning; Performance Productivity; Performance Evaluation; Consulting Industry

November 2, 2021
Article

The Cultural Benefits of Artificial Intelligence in the Enterprise

By: Sam Ransbotham, François Candelon, David Kiron, Burt LaFountain and Shervin Khodabandeh

The 2021 MIT SMR-BCG report identifies a wide range of AI-related cultural benefits at both the team and organizational levels. Whether it’s reconsidering business assumptions or empowering teams, managing the dynamics across culture, AI use, and organizational... View Details

Keywords: AI and Machine Learning; Organizational Culture; Performance Effectiveness

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20 Oct 2022 - 22 Oct 2022
Talk

Stigma Against AI Companion Applications

By: Julian De Freitas, A. Ragnhildstveit and A.K. Uğuralp

Keywords: AI and Machine Learning; Attitudes; Perception

March 2019
Teaching Note

Numenta: Inventing and (or) Commercializing AI

By: David B. Yoffie

This teaching notes accompanies the Numenta case, HBS No. 716-469. The focus is how to scale a new artificial intelligence technology, how to build a platform and overcome chicken-or-the-egg problems, and how to utilize open source software and licensing. View Details

Keywords: Artificial Intelligence; Strategy; Information Technology; Technological Innovation; Commercialization; AI and Machine Learning

Career Coach

Troy Peterson

an uncommon intention for a military veteran with a history degree: to jump into the tech world and work in product. After working through challenges getting & preparing for tech interviews, Troy joined a team at Facebook building industry-leading View Details

Research Summary

Overview

Michael is interested in research at the intersection of technology and supply chain in corporations, especially retailers. His recent projects have focused on Human-AI collaboration at retailers. View Details

Keywords: Supply Chain Management; Supply Chain; Operations; AI and Machine Learning; Retail Industry

2024
Working Paper

Why Most Resist AI Companions

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

Chatbots are now able to form emotional relationships with people and alleviate loneliness—a growing public health concern. Behavioral research provides little insight into whether everyday people are likely to use these applications and why. We address this question... View Details

Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions

June 19, 2023
Article

Should You Start a Generative AI Company?

By: Julian De Freitas

Many entrepreneurs are considering starting companies that leverage the latest generative AI technology, but they must ask themselves whether they have what it takes to compete on increasingly commoditized foundational models, or whether they should instead... View Details

Keywords: Business Startups; Entrepreneurship; AI and Machine Learning; Applications and Software

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2024
Working Paper

Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift

By: Matthew DosSantos DiSorbo and Kris Ferreira

Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). These outliers often originate from covariate shift,... View Details

Keywords: AI and Machine Learning; Decision Choices and Conditions

2023
Article

Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators

By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill

Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details

Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning

May 2022
Supplement

Borusan CAT: Monetizing Prediction in the Age of AI (B)

By: Navid Mojir and Gamze Yucaoglu

Borusan Cat is an international distributor of Caterpillar heavy machines. In 2021, it had been three years since Ozgur Gunaydin (CEO) and Esra Durgun (Director of Strategy, Digitization, and Innovation) started working on Muneccim, the company’s predictive AI tool.... View Details

Keywords: AI and Machine Learning; Commercialization; Technology Adoption; Industrial Products Industry; Turkey; Middle East

Profile

John Bracaglia

learning will impact a lot of industries," John says. "I want to show my colleagues the kind of impact AI can really have and how it applies to MBA students." In 2019, John took a lead role in organizing and running the... View Details

Keywords: Manufacturing/Energy; Tech; CPG

01 Oct 2000
News

After the Revolution: Putting the Internet in Perspective

Microsoft and Cisco, Nolan said the mature business model of a hierarchical organizational structure with a "make-and-sell" strategy can't be adapted to the virtual, information-enabled world of dot-coms. There, the real-time speed,... View Details

Keywords: Margie Kelley

October 2019
Case

Feeling Machines: Emotion AI at Affectiva

By: Shane Greenstein and John Masko

In 2016, Affectiva—a Boston-based emotion AI software company with a long track record of building emotion-sensing software for market research—had attempted to expand into new verticals by releasing a mobile software development kit (SDK) that downloaders could adapt... View Details

Keywords: Artificial Intelligence; Market Research; Business Model; Finance; Revenue; Decision Making; Risk and Uncertainty; Market Entry and Exit; Applications and Software; AI and Machine Learning; Information Technology Industry; Auto Industry; United States

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