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  • All HBS Web  (143)
    • News  (51)
    • Research  (42)
    • Events  (2)
  • Faculty Publications  (30)

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  • All HBS Web  (143)
    • News  (51)
    • Research  (42)
    • Events  (2)
  • Faculty Publications  (30)
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  • 2024
  • Working Paper

The Crowdless Future? Generative AI and Creative Problem Solving

By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani
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
Keywords: Large Language Models; Crowdsourcing; Generative Ai; Creative Problem-solving; Organizational Search; AI-in-the-loop; Prompt Engineering; AI and Machine Learning; Innovation and Invention
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Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem Solving." Harvard Business School Working Paper, No. 24-005, July 2023. (Revised July 2024.)
  • September–October 2024
  • Article

The Crowdless Future? Generative AI and Creative Problem-Solving

By: Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic and Karim R. Lakhani
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
Keywords: Large Language Models; Generative Ai; Crowdsourcing; AI and Machine Learning; Creativity; Technological Innovation
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Boussioux, Léonard, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, and Karim R. Lakhani. "The Crowdless Future? Generative AI and Creative Problem-Solving." Organization Science 35, no. 5 (September–October 2024): 1589–1607.
  • 26 Aug 2024
  • Research & Ideas

Can AI Match Human Ingenuity in Creative Problem-Solving?

When ChatGPT and other large language models began entering the mainstream two years ago, it quickly became apparent the technology could excel at certain business functions, yet it was less clear how well artificial intelligence could handle more creative tasks. Sure,... View Details
Keywords: by Michael Blanding; Information Technology; Information; Technology
  • September 2020
  • Article

Creativity, Artificial Intelligence, and a World of Surprises

By: Teresa M. Amabile
In recent years, progress has been made toward AI Creativity, which I define as the production of highly novel, yet appropriate, ideas, problem solutions, or other outputs by autonomous machines. I argue that organizational researchers of creativity and innovation... View Details
Keywords: Artificial Intelligence; AI Creativity; Computer Science; Organizational Behavior; Psychology; Creativity; Technological Innovation; AI and Machine Learning
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Amabile, Teresa M. "Creativity, Artificial Intelligence, and a World of Surprises." Academy of Management Discoveries 6, no. 3 (September 2020): 351–354.
  • 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
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Weiss, Mitchell. "'Storrowed': A Generative AI Exercise." Harvard Business School Teaching Note 824-189, March 2024.
  • 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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De Freitas, Julian, and Elie Ofek. "How AI Can Power Brand Management." Harvard Business Review 102, no. 5 (September–October 2024): 108–114.
  • 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
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Srinivasan, Suraj, and Radhika Kak. "Stagwell: AI and the Future of Marketing." Harvard Business School Case 125-089, March 2025.
  • August 2019 (Revised March 2022)
  • Case

Lemonade: Disrupting Insurance with Instant Everything, Killer Prices, and a Big Heart

By: Elie Ofek and Danielle Golan
Launching its first products in the fall of 2016 in New York, insurtech startup Lemonade was on a mission to disrupt the insurance market by using AI and behavioral economics principles. The company offered renters, homeowners, and condo insurance and mainly targeted... View Details
Keywords: AI; Business Startups; Insurance; Technological Innovation; Business Model; Disruption; Brands and Branding; Growth and Development Strategy; Global Strategy; Decision Making; Insurance Industry; Technology Industry
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Ofek, Elie, and Danielle Golan. "Lemonade: Disrupting Insurance with Instant Everything, Killer Prices, and a Big Heart." Harvard Business School Case 520-020, August 2019. (Revised March 2022.)
  • 26 Apr 2023
  • In Practice

Is AI Coming for Your Job?

The launch of ChatGPT seems to have reignited doomsday fears about artificial intelligence (AI) replacing workers en masse. Are these fears prescient or overblown? A recent survey shows 62 percent of Americans think AI will majorly impact... View Details
Keywords: by Kristen Senz; Technology
  • Article

Scaling Up Analogical Innovation with Crowds and AI

By: Aniket Kittur, Lisa Yu, Tom Hope, Joel Chan, Hila Lifshitz - Assaf, Karni Gilon, Felicia Ng, Robert Kraut and Dafna Shachaf
Analogy—the ability to find and apply deep structural patterns across domains—has been fundamental to human innovation in science and technology. Today there is a growing opportunity to accelerate innovation by moving analogy out of a single person’s mind and... View Details
Keywords: Innovation; Artificial Intelligence; Crowdsourcing; Analogy; Innovation and Invention; Technology; Science
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Kittur, Aniket, Lisa Yu, Tom Hope, Joel Chan, Hila Lifshitz - Assaf, Karni Gilon, Felicia Ng, Robert Kraut, and Dafna Shachaf. "Scaling Up Analogical Innovation with Crowds and AI." Proceedings of the National Academy of Sciences 116, no. 6 (February 5, 2019): 1870–1877.
  • 22 Nov 2023
  • Research & Ideas

Humans vs. Machines: Untangling the Tasks AI Can (and Can't) Handle

explains McFowland. “People in the lower half of that distribution had a much larger productivity bump. But on average, everyone seems to do better.” Surprisingly though, says McFowland, certain solutions using AI yielded a more limited... View Details
Keywords: by Rachel Layne; Information Technology; Technology
  • January 2021 (Revised March 2021)
  • Case

THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
  • May 2021 (Revised February 2024)
  • Teaching Note

THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

By: Ayelet Israeli and Jill Avery
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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Israeli, Ayelet, and Jill Avery. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Teaching Note 521-097, May 2021. (Revised February 2024.)
  • Teaching Interest

Overview

Paul is primarily interested in teaching data science to management students through the case method. This includes technical topics (programming and statistics) as well as higher-level management issues (digital transformation, data governance, etc.) As a research... View Details
Keywords: A/B Testing; AI; AI Algorithms; AI Creativity; Algorithm; Algorithm Bias; Algorithmic Bias; Algorithmic Fairness; Algorithms; Analytics; Application Program Interface; Artificial Intelligence; Causality; Causal Inference; Computing; Computers; Data Analysis; Data Analytics; Data Architecture; Data As A Service; Data Centers; Data Governance; Data Labeling; Data Management; Data Manipulation; Data Mining; Data Ownership; Data Privacy; Data Protection; Data Science; Data Science And Analytics Management; Data Scientists; Data Security; Data Sharing; Data Strategy; Data Visualization; Database; Data-driven Decision-making; Data-driven Management; Data-driven Operations; Datathon; Economics Of AI; Economics Of Innovation; Economics Of Information System; Economics Of Science; Forecast; Forecast Accuracy; Forecasting; Forecasting And Prediction; Information Technology; Machine Learning; Machine Learning Models; Prediction; Prediction Error; Predictive Analytics; Predictive Models; Analysis; AI and Machine Learning; Analytics and Data Science; Applications and Software; Digital Transformation; Information Management; Digital Strategy; Technology Adoption
  • November 2024
  • Case

AlphaGo (A): Birth of a New Intelligence

By: Shikhar Ghosh and Shweta Bagai
This case, the first of a three-part series, traces DeepMind's evolution from its 2010 founding through its acquisition by Google in 2014. Often referred to as the "Apollo project" of artificial intelligence, DeepMind used games as a testing ground to develop AI... View Details
Keywords: AI and Machine Learning; Technology Adoption; Games, Gaming, and Gambling; Technological Innovation; Creativity; Technology Industry; South Korea; China; United States
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Ghosh, Shikhar, and Shweta Bagai. "AlphaGo (A): Birth of a New Intelligence." Harvard Business School Case 825-073, November 2024.
  • 09 Jan 2024
  • In Practice

Harnessing AI: What Businesses Need to Know in ChatGPT’s Second Year

contexts demonstrated that generative AI has the potential to enhance productivity (speed and efficiency of task completion), quality (precision in execution), and creativity (albeit with limitations).... View Details
Keywords: by Rachel Layne; Information Technology
  • 02 May 2023
  • What Do You Think?

How Should Artificial Intelligence Be Regulated—if at All?

assist, and score against an opponent with the help of AI and relentless 24-hour practice. Or when machines compose better memos, white papers, and poems than you could have written—by means of generative AI... View Details
Keywords: by James Heskett; Information Technology; Technology
  • 2020
  • Working Paper

Design in the Age of Artificial Intelligence

By: Roberto Verganti, Luca Vendraminelli and Marco Iansiti
Artificial Intelligence (AI) is affecting the scenario in which innovation takes place. What are the implications for our understanding of design? Is AI just another digital technology that, akin to many others, will not significantly question what we know about... View Details
Keywords: Artificial Intelligence; Design Thinking; Technological Innovation; Design; Change; Theory; AI and Machine Learning
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Verganti, Roberto, Luca Vendraminelli, and Marco Iansiti. "Design in the Age of Artificial Intelligence." Harvard Business School Working Paper, No. 20-091, February 2020.
  • Research Summary

Overview

By: Jeremy Yang
Professor Yang's recent work focuses on understanding and solving important managerial problems in the creator economy. His projects are organized around the 4Cs: creator, content, community, and commerce. On creator, he studies creator inequality and bias. On content,... 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
Keywords: Large Language Model; AI and Machine Learning; Creativity; Innovation Strategy
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De Freitas, Julian, G. Nave, and Stefano Puntoni. "Ideation with Generative AI—In Consumer Research and Beyond." Journal of Consumer Research 51, no. 1 (June 2025): 18–31.
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