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Show Results For
- All HBS Web
(1,468)
- News (546)
- Research (613)
- Events (29)
- Multimedia (82)
- Faculty Publications (581)
- February 2024 (Revised January 2025)
- Case
AGENTS.inc: Pathways to Growth at an AI Startup
By: Frank Nagle, Manuel Hoffmann, Karoline Ströhlein and Susan Pinckney
The case describes the history of AGENTS.inc. Despite being a small startup, with only four employees, that had never had a funding round, the company boasted an impressive client portfolio including multiple Fortune 500 companies. While AGENTS.inc had been an early... View Details
Keywords: Business Growth and Maturation; Business Model; Business Startups; Small Business; Transformation; Customer Focus and Relationships; Decisions; Entrepreneurship; Venture Capital; Financial Strategy; AI and Machine Learning; Digital Platforms; Technological Innovation; Copyright; Management; Growth and Development; Market Timing; Ownership; Risk and Uncertainty; Competition; Open Source Distribution; Entrepreneurial Finance; Computer Industry; Europe; Germany
Nagle, Frank, Manuel Hoffmann, Karoline Ströhlein, and Susan Pinckney. "AGENTS.inc: Pathways to Growth at an AI Startup." Harvard Business School Case 724-444, February 2024. (Revised January 2025.)
- 20 Oct 2022 - 22 Oct 2022
- Talk
Stigma Against AI Companion Applications
By: Julian De Freitas, A. Ragnhildstveit and A.K. Uğuralp
- 21 Apr 2025
- News
How AI is reshaping HR
- 11 Sep 2023
- News
How to Lead Enterprise AI
- 05 May 2021
- Podcast
US plans for AI primacy
As the US vies with global AI rivals for technological and strategic advantage, where will it find the human brainpower and skilled labor to compete? Is the government prepared for the challenge? Artificial intelligence is crossing boundaries, transforming markets, and... View Details
- 09 Jun 2025
- Video
Anton Korinek on AI readiness
- March 2024 (Revised August 2024)
- Case
Darktrace: Scaling Cybersecurity and AI (A)
By: Jeffrey F. Rayport and Alexis Lefort
In 2023, Darktrace CEO Poppy Gustafsson was contemplating her growth strategy at a leading U.K.-based cybersecurity venture, launched in 2013 by a group of anti-terror cyber specialists, University of Cambridge mathematicians, and artificial intelligence (AI) experts.... View Details
Keywords: Technology; Talent; Scaling; Entrepreneurship; Cybersecurity; Leadership; Business Growth and Maturation; Recruitment; Resignation and Termination; AI and Machine Learning; Growth and Development Strategy; Organizational Culture; Going Public; Technology Industry; United Kingdom; Europe; United States
Rayport, Jeffrey F., and Alexis Lefort. "Darktrace: Scaling Cybersecurity and AI (A)." Harvard Business School Case 824-092, March 2024. (Revised August 2024.)
- 01 Jun 2024
- News
Competing in the Age of AI
Above: Karim Lakhani discussed GenAI with alumni during his presentation at When Professor Karim Lakhani leads discussions about generative artificial intelligence (GenAI), he often begins by asking audience members to stand if they’ve used an AI tool like ChatGPT or... View Details
Keywords: April White
- January 2025
- Case
Intuition Robotics: An AI Companion for Older Adults
By: Amit Goldenberg, Elie Ofek and Orna Dan
Intuition Robotics, a startup that makes an AI companion robot to alleviate older adults’ loneliness, debates whether to pursue a B2C model or B2G route. If it opts for the government vertical, it must determine how to negotiate a favorable deal. Two weeks after... View Details
Keywords: Business Model; Business Startups; AI and Machine Learning; Technology Adoption; Product Launch; Market Entry and Exit; Negotiation Offer; Business and Government Relations; Health Industry; Technology Industry; United States; New York (state, US)
Goldenberg, Amit, Elie Ofek, and Orna Dan. "Intuition Robotics: An AI Companion for Older Adults." Harvard Business School Case 925-018, January 2025.
- September–October 2023
- Article
Reskilling in the Age of AI
In the coming decades, as the pace of technological change continues to increase, millions of workers may need to be not just upskilled but reskilled—a profoundly complex societal challenge that will sometimes require workers to both acquire new skills and... View Details
Keywords: Competency and Skills; AI and Machine Learning; Training; Adaptation; Employees; Digital Transformation
Tamayo, Jorge, Leila Doumi, Sagar Goel, Orsolya Kovács-Ondrejkovic, and Raffaella Sadun. "Reskilling in the Age of AI." Harvard Business Review 101, no. 5 (September–October 2023): 56–65.
- 15 Nov 2018
- News
Don’t Be Afraid of AI
the founding CEO of Palm and the cofounder of Handspring, ushering in two of the tech ages biggest leaps—handheld computing, and the smart phone. So, she's essentially been famously successful by being right about the future. We sat down with Dubinsky to talk about... View Details
- November 2023
- Case
Riiid: Scaling AI Educational Services Globally
By: John Jong-Hyun Kim, Nancy Dai and Ruru Hoong
This article explores the definition and evolution of AI, its applications in education, and the role of AI, particularly in K-12 education. It discusses the founding of Riiid, an AI-driven educational technology company, and its journey in the education sector, with a... View Details
Keywords: AI and Machine Learning; Economic Sectors; Technological Innovation; Education Industry; South Korea; Asia
Kim, John Jong-Hyun, Nancy Dai, and Ruru Hoong. "Riiid: Scaling AI Educational Services Globally." Harvard Business School Case 324-030, November 2023.
- 31 Jul 2023
- HBS Conference
Future of AI and Economics
- Feb 03 2020
- Short Film
Cutting Through the AI Hype
- 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
Weiss, Mitchell. "Finding Your 'Jagged Frontier': A Generative AI Exercise." Harvard Business School Exercise 825-070, September 2024.
- November 2019 (Revised March 2021)
- Background Note
AI and Finance in 2019
By: Karim R. Lakhani, Marco Di Maggio, Marco Iansiti and Aldo Sesia
Lakhani, Karim R., Marco Di Maggio, Marco Iansiti, and Aldo Sesia. "AI and Finance in 2019." Harvard Business School Background Note 220-017, November 2019. (Revised March 2021.)
- 04 May 2023
- News
How Generative AI Changes Productivity
- September 29, 2023
- Article
Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI
By: Simon Friis and James Riley
When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make... View Details
Friis, Simon, and James Riley. "Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI." Harvard Business Review (website) (September 29, 2023).
Why You Aren’t Getting More from Your Marketing AI - HBR
Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem. (2) They don’t recognize the... 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
Keywords: Reliability; Confusion Matrix; AI and Machine Learning; Decision Making; Measurement and Metrics; Performance
Neeley, Tsedal, and Tim Englehart. "AI vs Human: Analyzing Acceptable Error Rates Using the Confusion Matrix." Harvard Business School Technical Note 425-049, January 2025.