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AI@CBS

Leading through intelligence—both human and artificial—at Columbia Business School.

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Committed to the Future of Artificial Intelligence

Through cutting-edge curricular innovation, our MBA, Executive MBA, MS, and PhD programs introduce new courses and research that seamlessly integrate AI into the student experience. From exploring the impact of AI across industries to developing hands-on experience with the latest tools, students can build confidence in using the latest tech in their chosen fields.

AI plays a critical role in the rapidly evolving modern workplace, and with a curriculum that emphasizes its societal and business implications, students can fully prepare to lead in this rapidly evolving landscape. Explore how our students, faculty, centers and programs are engaging with AI at Columbia Business School.

AI at Columbia Business School logo in blue lowercase letters with a plus above the i.

Latest on AI@CBS

Artificial Intelligence
Business and Society
Digital Future
Future of Work
Management
The Workplace
Date
May 12, 2025
Walmart Chief People Officer Donna Morris
Artificial Intelligence
Business and Society
Digital Future
Future of Work
Management
The Workplace

Bizcast: Walmart’s Chief People Officer Donna Morris on the Future of Work

In this episode, Morris joins CBS Professor Stephan Meier to discuss how Walmart is building a resilient, tech-powered, and people-led workplace.

  • Read more about Bizcast: Walmart’s Chief People Officer Donna Morris on the Future of Work about Bizcast: Walmart’s Chief People Officer Donna Morris on the Future of Work
Algorithms
Artificial Intelligence
Business and Society
Digital Future
Entrepreneurship
Management
Date
May 05, 2025
Illustration of hands, resumes and laptop
Algorithms
Artificial Intelligence
Business and Society
Digital Future
Entrepreneurship
Management

Did AI Write That Pitch? The Impact of Generative AI on Hiring and Startup Evaluations

Research from Columbia Business School examines the challenges posed by generative AI in hiring and entrepreneurial pitching, offering insights into when AI helps — and when it hinders.

  • Read more about Did AI Write That Pitch? The Impact of Generative AI on Hiring and Startup Evaluations about Did AI Write That Pitch? The Impact of Generative AI on Hiring and Startup Evaluations
Artificial Intelligence
Climate and Solutions
Climate and Technology
Energy
Date
April 30, 2025
Chris Levesque (right), President and CEO of TerraPower
Artificial Intelligence
Climate and Solutions
Climate and Technology
Energy

The New Nuclear: How TerraPower Is Powering the Future of Clean Energy

Chris Levesque, President and CEO of TerraPower, explains how next-generation reactors and innovative energy storage are reshaping nuclear energy's role in the global transition to sustainability.

  • Read more about The New Nuclear: How TerraPower Is Powering the Future of Clean Energy about The New Nuclear: How TerraPower Is Powering the Future of Clean Energy
Algorithms
Analytics
Artificial Intelligence
Business and Society
Business Economics and Public Policy
Data and Business Analytics
Digital Future
Digital IQ
Finance
Marketing
Marketplace
Date
April 17, 2025
Close-up computer monitor with trading software
Algorithms
Analytics
Artificial Intelligence
Business and Society
Business Economics and Public Policy
Data and Business Analytics
Digital Future
Digital IQ
Finance
Marketing
Marketplace

Designing Smarter Economic Systems: A New Approach to Mechanism Design

Award-winning research from Professor Laura Doval tackles the “limited commitment” problem in economics, offering a model that helps governments and firms adjust rules and strategies based on new information over time.

  • Read more about Designing Smarter Economic Systems: A New Approach to Mechanism Design about Designing Smarter Economic Systems: A New Approach to Mechanism Design
Explore More AI Insights
Faculty Perspectives on AI
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Using AI to Enhance Human Motivation

Columbia Business School Professor Stephan Meier explains how leaders can calm AI-related concerns, while also creating value.

Quick Takes

  • AI can boost productivity and work-life balance through efficiency, but presents an equality paradox - potentially leveling the playing field or concentrating benefits among few while reducing overall jobs.
  • Future leaders (today's students) will determine AI's ultimate societal impact, making their understanding of these technologies crucial.
Watch the Video
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How to Leverage AI in the Workplace

Columbia Business School Professor Olivier Toubia shares the many upsides – and downsides – of AI in the workplace.

Quick Takes

  • Generative AI has dual potential - it can increase productivity and improve work-life balance while leveling the playing field, but could also increase inequality by limiting jobs to a select few and reducing overall opportunities.
  • The ultimate impact of AI on society and business will be determined by future leaders, making it critical for today's students to understand AI as they will shape its societal effects.
Watch the Video
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Using Generative AI to Change Your Mindset

Ashli Carter, a lecturer at Columbia Business School, explains one of the ways she uses AI to help students build resilience.

Quick Takes

  • AI text-to-image generation helps people visualize their "inner critic" as a tool for negotiating with their mindset.
  • AI visualization processes can create mental states more conducive to achieving personal goals.
Watch the Video
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How AI is Breaking Barriers in Business

Columbia Business School Professor Omar Besbes explains how AI is democratizing workplace productivity.

Quick Takes

  • AI will significantly enhance human productivity across various areas while potentially decreasing barriers to entry in multiple industries.
  • Chatbots and AI systems are democratizing access to resources while simultaneously putting the art of asking good questions and follow-up questions back at center stage.
Watch the Video
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AI@CBS In The Classroom
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AI Tools

AI is integrated into our courses in ways that support student’s projects and inspire rich class discussions. Tools like ChatGPT are used to assist in breaking down complex research techniques, run business simulations, visualize data in real time, and to show students to think in new ways and explore innovative solutions.

View Available AI Tools at CBS
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Courses

At Columbia Business School, we introduce you to the methods and tools that organizations around the world use to leverage data and artificial intelligence. You will learn how these techniques work, and how to use them. The curriculum spans everything from basic data analysis to generative AI, and contains classes suitable for all skill levels.

View Current AI Courses
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Resources

Generative artificial intelligence (AI) is reshaping industries worldwide, and higher education is no exception. Much like other transformative innovations before it, AI-powered language models have introduced new opportunities and challenges, changing the way students learn and how instructors teach.

Samberg Institute

At Columbia Business School, the Arthur J. Samberg Institute for Teaching Excellence serves as a guiding force in this ongoing transformation, equipping faculty with the knowledge, tools, and strategies they need to leverage generative AI for effective teaching.

View their website

Digital Future Initiative

The Digital Future Initiative focuses Columbia Business School’s world-class research and teaching on how technology is altering all industries and the fabric of daily life.

View their website

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Career Strategy

AI is changing the way we work, and the Career Management Center (Careers) at Columbia Business School has organized numerous AI-focused events and introduced AI-powered tools to help students and alumni adapt to these changes and achieve their long-term professional goals.

View AI@CBS Careers

Upcoming AI Events

More upcoming AI events will be added soon.

See More AI Events
Faculty and AI Research
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AI@CBS Faculty

Dan Wang

Dan Wang

Lambert Family Professor of Social Enterprise in the Faculty of Business
Management Division
Co-Director of the Tamer Institute for Social Enterprise and Climate Change
Tamer Institute for Social Enterprise and Climate Change
Gita Johar

Gita Johar

Meyer Feldberg Professor of Business
Marketing Division
Daniel Guetta

Daniel Guetta

Associate Professor of Professional Practice
Decision, Risk, and Operations Division
Director
Center for Pricing and Revenue Management and Business Analytics Initiative
Photo of Professor Carri Chan

Carri Chan

John A. Howard Professor of Business
Decision, Risk, and Operations Division
Faculty Director Healthcare and Pharmaceutical Management Program
Healthcare and Pharmaceutical Management Program
Oded Netzer

Oded Netzer

Arthur J. Samberg Professor of Business
Marketing Division
Vice Dean for Research
Dean's Office
A. Carter

Ashli Carter

Lecturer in the Discipline of Management in the Faculty of Business
Management Division
Omar Besbes

Omar Besbes

Vikram S. Pandit Professor of Business
Decision, Risk, and Operations Division

Latest AI Research

Using natural language processing to analyse text data in behavioural science

Authors
Stefan Feuerriegel, Abdurahman Maarouf, Dominik Bär, Dominique Geissler, Jonas Schweisthal, Nicolas Pröllochs, Claire E. Robertson, Steve Rathje, Jochen Hartmann, Saif M. Mohammad, Oded Netzer , Alexandra A. Siegel, Barbara Plank, and Jay J. Van Bavel
Date
January 2, 2025
Format
Journal Article
Journal
Nature Reviews Psychology

Language is a uniquely human trait at the core of human interactions. The language people use often reflects their personality, intentions and state of mind. With the integration of the Internet and social media into everyday life, much of human communication is documented as written text. These online forms of communication (for example, blogs, reviews, social media posts and emails) provide a window into human behaviour and therefore present abundant research opportunities for behavioural science.

Read More about Using natural language processing to analyse text data in behavioural science

Personalized Game Design for Improved User Retention and Monetization in Freemium Mobile Games

Authors
Eva Ascarza, Oded Netzer , and Julian Runge
Date
September 2, 2024
Format
Journal Article
Journal
International Journal of Research Marketing

One of the most significant levers available to gaming companies in designing digital games is setting the level of difficulty, which essentially regulates the user’s ability to progress within the game. This aspect is particularly significant in free-to-play (F2P) games, where the paid version often aims to enhance the player’s experience and to facilitate faster progression. In this paper, we leverage a large randomized control trial to assess the effect of dynamically adjusting game difficulty on players’ behavior and game monetization in the context of a popular F2P mobile game.

Read More about Personalized Game Design for Improved User Retention and Monetization in Freemium Mobile Games

Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile

Authors
Shunyuan Zhang, Elizabeth Friedman , Kannan Srinivasan, Ravi Dhar, and Xupin Zhang
Date
August 9, 2024
Format
Journal Article
Journal
Journal of Consumer Research

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 influences consumer choice in e-commerce settings even when there is no face-to-face interaction.

Read More about Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile

Does AI cheapen talk? Theory and evidence from global entrepreneurship and hiring

Authors
Bo Cowgill , Pablo Hernández-Lagos, and Nataliya Wright
Date
July 26, 2024
Format
Working Paper

Screening human capital based on signals such as job applications or entrepreneurial pitches is crucial for organizations. Signals are often informative insofar as they require differential knowledge and effort to produce. Generative AI (GAI) complicates screening by lowering the cost of producing impressive signals. We model the informational effects of GAI, showing that applicants' access to GAI can increase—but also decrease—an evaluator's screening mistakes. This result depends on how GAI affects experts' signals compared to non-experts'.

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The Topography of Thought

Authors
Jonah Berger and Olivier Toubia
Date
May 1, 2024
Format
Journal Article
Journal
PNAS Nexus

Whether speaking, writing, or thinking, almost everything humans do involves language. But can the semantic structure behind how people express their ideas shed light on their future success? Natural language processing of over 40,000 college application essays finds that students whose writing covers more semantic ground, while moving more slowly (i.e. moving between more semantically similar ideas), end up doing better academically (i.e. have a higher college grade point average). These relationships hold controlling for dozens of other factors (e.g.

Read More about The Topography of Thought

The Language of (Non)replicable Social Science

Authors
Michal Herzenstein, Sanjana Rosario , Shin Oblander , and Oded Netzer
Date
April 19, 2024
Format
Journal Article
Journal
Psychological Science

Using publicly available data from 299 pre-registered replications from the social sciences, we find that the language used to describe a study can predict its replicability above and beyond a large set of controls related to the paper characteristics, study design and results, author information, and replication effort. To understand why, we analyze the textual differences between replicable and nonreplicable studies.

Read More about The Language of (Non)replicable Social Science

Automating the B2B Salesperson Pricing Decisions: A Human-Machine Hybrid Approach

Authors
Yael Karlinsky-Shichor and Oded Netzer
Date
January 1, 2024
Format
Journal Article
Journal
Marketing Science
We propose a human-machine hybrid approach to automating decision making in high human-interaction environments and apply it in the business-to-business (B2B) retail context.
Read More about Automating the B2B Salesperson Pricing Decisions: A Human-Machine Hybrid Approach

Liquidity Regulation and Banks: Theory and Evidence

Authors
M. Suresh Sundaresan and Kairong Xiao
Date
November 10, 2023
Format
Journal Article
Journal
Journal of Financial Economics

This paper theoretically and empirically investigates the effects of liquidity regulation on the banking system. We document that the current quantity-based liquidity rule has reduced banks’ liquidity risks. However, the mandated liquidity buffer appears to crowd out bank lending and lead to a migration of liquidity risks to banks that are not subject to liquidity regulation. These findings motivate a model of liquidity regulation with endogenous liquidity premiums and heterogeneous banks.

Read More about Liquidity Regulation and Banks: Theory and Evidence

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View More of our AI@CBS Faculty & Research
AI Faculty In the News
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CBS News
June 11, 2024

Federal Agreement Paves Way for Closer Scrutiny of Burgeoning AI Industry

The rapidly growing artificial intelligence industry is due to experience tighter government oversight. With the Federal Trade Commission (FTC) monitoring the business practices of companies like OpenAI and Microsoft and the Justice Department's antitrust division ensuring fair competition within the sector, the US stands to correct course on regulating AI. 

Mentioned Faculty

Photo of Prof. Olivier Toubia

Olivier Toubia

Glaubinger Professor of Business
Marketing Division
Quartz
June 5, 2024

Google's AI Search Stumbled out of the Gate. But the Race Is Just Getting Started

In addition to providing opportunities for efficiency for students and employees, the rise of AI has also provided entertainment for its early adopters. Liz Reid, head of Google Search, attributed inaccurate (and often, funny) answers to questions to “data voids” and satirical websites. Seeing that the Internet has an incredible amount of bad data and misinformation, how will generative AI prevent its tendency to hallucinate or simply make up answers?

Mentioned Faculty

Photo of Prof. Olivier Toubia

Olivier Toubia

Glaubinger Professor of Business
Marketing Division
The Japan Times
June 5, 2024

Japan Times Quoted Bank of Japan Deputy Governor Ryozo Himino from a Panel at CJEB’s Annual Tokyo Conference

Bank of Japan Deputy Governor Ryozo Himino spoke in a panel titled, “Evolving Monetary Policy in Japan and the United States,” at the annual Tokyo conference held by the Center on Japanese Economy and Business on June 4, 2024. Japan Times included a quote from the panel session in the article, “BOJ weighs reducing bond buys as early as June meeting,” 

View the Media Mention about Japan Times Quoted Bank of Japan Deputy Governor Ryozo Himino from a Panel at CJEB’s Annual Tokyo Conference
Quirks
May 14, 2024

Navigating Generative AI's Transformative Impact on Businesses: Insights from Leading Academic Experts

A recent survey of generative AI decision-makers (672 across US-based organizations) revealed that AI is improving efficiency and data literacy in the workplace. However, does the opportunity for efficiency outweigh the risks when it comes to a rapidly evolving technology like AI? 

Mentioned Faculty

Photo of Prof. Olivier Toubia

Olivier Toubia

Glaubinger Professor of Business
Marketing Division

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