

The Business of AI: Shaping the Future of Business with Generative AI

Columbia Business School
Columbia Business School (CBS) is a graduate-level professional school within Columbia University, founded in 1916 and located in the Morningside Heights neighborhood of Manhattan, New York City. It is one of the oldest business schools in the United States, established with a mandate to connect rigorous academic inquiry with the practical demands of commerce in the world's leading financial centre. CBS moved to its current purpose-built home at Columbia's Manhattanville campus β Henry R. Kravis Hall and David Geffen Hall β beginning in 2022, a $600 million development that physically reflects the school's ambitions. The academic philosophy is anchored in what CBS calls "ideas at work": the conviction that theoretical insight and real-world application are inseparable, not sequential.Accreditations and RankingsAccreditations:AACSB accreditedRankings:Financial Times Global MBA Ranking: #9 (2024)Financial Times Executive Education Open Programs: Top 15 globally (2023)Financial Times Executive Education Custom Programs: Top 15 globally (2023)Bloomberg Businessweek MBA Ranking: #7 in the U.S. (2023)QS Global MBA Ranking: #14 worldwide (2024)U.S. News & World Report Best Business Schools: #8 (2024)Executive Education at a GlanceColumbia Business School Executive Education is one of the most active executive education operations in the Ivy League, running over 40 open-enrollment programs annually alongside a substantial custom and corporate solutions portfolio. The school is particularly recognised for programs in finance, value investing, private equity, digital business, healthcare management, and leadership β a reflection of both faculty research strengths and the industries concentrated in New York. Programs range from two-day intensive workshops to multi-week certificates, with the Columbia Senior Executive Program standing out as the flagship general management offering for leaders with significant organisational responsibility. Online and hybrid formats have expanded meaningfully since 2020, with several certificate programs now available in fully live-virtual formats. Open program fees typically range from approximately $3,000 for shorter workshops to $15,000 or more for multi-week residential programs; corporate custom engagements are scoped and priced separately. CBS does not widely publicise scholarships for open executive education participants, though some programs offer alumni pricing for Columbia graduates.Campus and FacilitiesThe Manhattanville campus β bounded by 125th and 133rd Streets in upper Manhattan β represents one of the most significant new business school developments of the past decade. Henry R. Kravis Hall, opened in 2022, was designed by Skidmore, Owings & Merrill and features tiered, flexible classrooms built explicitly for discussion-heavy pedagogy, executive boardrooms, and collaborative spaces designed to eliminate the distinction between seminar and social learning. David Geffen Hall connects to Kravis and houses the business school's social and dining infrastructure. Beyond the buildings, the location matters enormously: executive participants are forty minutes from Wall Street, minutes from Harlem's emerging tech and media ecosystem, and adjacent to Columbia's broader university campus β including its medical centre, law school, and School of International and Public Affairs β enabling cross-disciplinary conversations that are structurally difficult to replicate in isolated suburban campuses.Faculty and ResearchCBS has approximately 200 full-time faculty members, drawn from economics, sociology, psychology, finance, and operations β an unusually broad disciplinary base for a business school. The school is home to several research centres directly relevant to executive learners, including the Heilbrunn Center for Graham & Dodd Investing, the Center on Global Brand Leadership, the Richard Paul Richman Center for Business, Law, and Public Policy, and the Sanford C. Bernstein & Co. Center for Leadership and Ethics. Faculty such as Tano Santos, Sheena Iyengar, and Rita McGrath are not only active researchers but regular contributors to public discourse on investing, decision-making, and competitive strategy β and they teach in executive programs rather than delegating to adjuncts. This proximity of research agenda to classroom instruction gives CBS executive programs an intellectual density that distinguishes them from provider-style executive training.Student Body, Alumni, and Career OutcomesColumbia Business School's alumni network exceeds 47,000 graduates across more than 100 countries, with particular density in financial services, technology, private equity, media, and healthcare β industries where New York's gravitational pull is strongest. Executive education cohorts are typically international and senior: participants in flagship programs such as the Senior Executive Program routinely represent companies from across North America, Europe, and Asia, with functional backgrounds spanning C-suite leadership, investment management, and entrepreneurship. CBS alumni include Warren Buffett (Class of 1951), who credits his time studying under Benjamin Graham as foundational to his investment philosophy β a lineage that continues to attract finance professionals to the school's investing-focused programs specifically. For senior executives, the CBS network operates not only through formal alumni chapters in major cities but through the informal density of CBS graduates in leadership roles at institutions including Goldman Sachs, McKinsey, Blackstone, and major technology firms.
Next Available Cohort
Choose your preferred start date
All-inclusive program fee
Duration
4 days
Format
in-person
Topic
Data & AI
Language
English
About This Program
Why Columbia Business School?
Few business schools can claim a campus embedded in one of the world's most consequential cities β and actually mean it. Columbia Business School has built its entire executive education philosophy around New York as a living laboratory: finance, media, technology, healthcare, and policy all intersect within walking distance of campus, and the faculty who teach executives are the same people advising the institutions that drive those industries.
Your Profile
- Mid- to senior-level professionals who want to understand how generative AI will affect their business and gain the insights and leadership skills needed to advance organizational change
- Consultants and technical experts who need to hone skills related to AI transformation
- Senior (C-suite) executives who are spearheading organizations set to embark on the adoption of AI
Benefits
- Become proficient with the terminology, know-how, jargon, and essential technical capabilities of generative AI
- Assess various AI business offerings (opportunities, risks, trends, and projections) while thoroughly surveying the AI corporate landscape
- Build a toolkit to orchestrate the implementation of AI solutions into their organization
- Learn about prompt engineering strategies, decision-making methods using generative AI, and development opportunities
- Overview specific industry use-cases of generative AI and concrete examples of solutions/pitfalls (i.e., the impact of AI on Marketing, Finance, Operations, etc.)
- Get access to the New York City's local AI business network with select visits to leading technology companies
- Review ethical AI guardrails, regulatory hurdles, and AI governance preparation schemes
- Get a one-on-one individualized or group coaching session tailored to the participant's specific role, industry, and organization
- Learn firsthand about revolutionary ideas in the field that will likely drive the next wave of technological advances through expert panel discussion with leading AI researchers at Columbia University and the Center for Advanced Technology and Human Performance.
What You'll Learn
- Day One The Foundation of AI in Business - Laying the groundwork for understanding AI's role in the business landscape, participants will embark on an exploratory journey from the origins of AI to the cutting-edge advancements in Generative AI and Large Language Models (LLMs). This day focuses on comprehending the AI business environment, identifying key players, trends, and how these elements intertwine with organizational strategies. Participants will: Grasp the evolution from basic AI concepts to Advanced Generative Intelligence, Identify and analyze key players and trends in the AI business landscape, Understand the impact of AI on job dynamics, innovation, and biases within industries, Gain insights into the practical applications and challenges of generative AI in business
- Day Two Decision-Making and Integration of AI - Delve into practical applications, focusing on the utilization of generative AI for informed decision-making and strategizing its integration within organizational structures. Participants engage in group activities to apply AI tools in business scenarios and learn about aligning organizational resources and structures for AI adoption. Participants will: Employ generative AI for effective business decision-making, Develop strategies for AI integration, including data architecture and resource allocation, Understand the needs and hurdles emanating from bias control and data accuracy in AI applications, Analyze and assess organizational decisions influenced by AI (i.e., pitfalls, challenges, organizational strategies, and successful use-cases)
- Day Three Personal Application and Industry Insights - Tailored to the individual and organizational application of generative AI, on the third day, participants receive personalized guidance from experts and visit leading AI companies, offering a unique perspective on real-world AI implementation and innovation. Participants will: Apply AI concepts and tools to their specific organizational contexts, Gain firsthand experience of AI implementation in leading companies, Understand diverse AI applications across various industries and functions, Foster connections with AI pioneers and industry leaders
- Day Four Digital Transformation and Ethical Considerations - Focusing on the broader implications of AI in business, the final day emphasizes digital transformation, ethical considerations, governance and regulatory implications, international geo-politics in AI management, and future trends. Participants will engage with an expert panel, gaining insights into the latest AI research and its potential impact on various business sectors. Participants will: Develop a framework for digital transformation towards AI readiness (i.e., an organization's framework and scorecard for AI implementation), Understand and address the ethical dimensions of AI, including bias and privacy concerns, Gain insights from AI research leaders across multiple disciplines, Prepare for future trends and applications of generative AI in business, Learn how to obtain knowledge on AI progressions as the field matures, Understand the global impact of AI across countries, and the likely regulatory and geo-political influence of the business offerings
Frequently Asked Questions
How to Apply
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Check your eligibility
Review the entry requirements listed on this page. Most executive programs require 8β15 years of professional experience.
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Prepare your application
Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.
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Apply directly through Columbia Business School's official application portal.
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