Competing in the Age of AI—Virtual

Executives in group discussion comparing data findings

Discover how artificial intelligence is transforming today's businesses and how you can leverage it to grow your company into an AI-first leader.

The program fee covers tuition and program materials.

Download Brochure

Artificial intelligence (AI) is revolutionizing the way today's businesses compete and operate. Companies are redefining how they create, capture, and share value—achieving impressive growth as a result.

Competing in the Age of AI—Virtual is a how-to guide that demystifies AI and its practical implications for advancing your business. You will deepen your understanding of the ethical challenges and growth capabilities of leveraging massive amounts of data and sophisticated analytics.

Key Program Features

Key Topics

  • Examine how AI will impact your industry and determine how to best incorporate it into your business

  • Lead the creation of algorithms, software infrastructure, data pipelines, and experimentation platforms

  • Overcome the challenge of developing strategy in today's AI landscape

  • Ensure an ethical approach to AI and manage risks

  • Build network effects to accelerate competitive advantage

  • Redesign organizational systems, processes, and roles to be AI-driven

  • Build the skills, capabilities, and culture to manage an AI-first operating model

Program Format

  • 9
    live online class sessions
  • 3–5
    hours of weekly self-paced work
  • 9–12
    hours of pre-program work

Participants will receive a detailed schedule and case materials approximately two weeks before the program starts.

Participants will attend live online classroom sessions via Zoom every Thursday from 11:00–1:30 p.m. ET, except week four when a simulation is scheduled and week five when AI application deep dives are scheduled. Most weeks include an optional Q&A with faculty after the class session.

Collaborative learning is an integral part of the experience. To maximize the benefit for everyone, participants are expected to attend each session, complete all assignments, and contribute to group and class discussions.

Who Should Attend

  • Decision-makers, leaders, and contributors at both established companies and startups who are responsible for shaping AI, data analytics, or digital transformation strategy 

  • Business and technology leaders and contributors who want to deploy the latest AI tools to unlock new value  

  • Individuals in strategy-based roles including product management and development, digital and information technology operations, marketing, supply chain and operations, talent management, and more, who want to move toward an AI-first digital business and operating model 

  • Government officials engaged in developing strategy and policy to address AI, its privacy and security implications, and its potential impact on service delivery 

  • Digital officers, technology officers, and individuals building and launching data science and analytics 

  • AI teams who want to bring strategic and operational insights to the C-suite, as well as for cross-functional teams charged with driving digital transformation through AI and platforms

Global Perspective

Two female and two male executives sit and smile around a table filled with notes.
3%
Africa
12%
Asia Pacific
26%
Europe
9%
Latin America
4%
Middle East
46%
North America

Top Industries Represented

  • 22%

    Consumer Products

  • 15%

    High Technology

  • 14%

    Financial

  • 10%

    Professional Services

  • 6%

    Nonprofit Services

  • 4%

    Health Care

  • 3%

    Chem/Pharma/Bio

  • 3%

    Education

  • 2%

    Real Estate / Construction

  • 2%

    Retail Services

Experience

Years Worked

  • 6%

    Less than 10 years

  • 15%

    10-14 years

  • 19%

    15-19 years

  • 27%

    20-24 years

  • 23%

    25-29 years

  • 8%

    30-34 years

  • 2%

    35-39 years

  • 1%

    40 or more

Companies That Have Participated

  • Citi
  • Facebook
  • Google
  • Gucci
  • General Motors
  • L'ORÉAL
  • Nike, Inc
  • Novartis
  • Procter & Gamble
  • Siemens

Teaching Team

All our executive education programs are developed and taught by a team of widely recognized HBS faculty. Many are skilled educators, groundbreaking researchers, and award-winning authors. Through their board memberships, consulting, and field-based research, they address the complex challenges facing business leaders across the globe.

Faculty Chair

Faculty

The HBS Experience

When you participate in a virtual HBS Executive Education program, you benefit from a powerful learning experience carefully designed with a virtual setting in mind.

Through live, synchronous program sessions you'll engage directly with our renowned faculty to learn from their latest research, gain actionable takeaways, and facilitate your growth. Additionally, virtual learning groups will connect you to a global group of peers and build your network.

Admissions

We admit applicants on a rolling, space-available basis, so you are encouraged to submit your application as soon as possible.

The selective admissions process is based on professional achievement, organizational responsibility, and the admissions criteria for each program as described in Who Should Attend. There are no formal educational requirements for HBS Executive Education programs.

Learn more about the admissions process and requirements.

Program content, dates, schedule, fees, technology platforms, and faculty are subject to change. In accordance with Harvard University policy, Harvard Business School does not discriminate against any person on the basis of race, color, sex or sexual orientation, gender identity, religion, age, national or ethnic origin, political beliefs, veteran status, or disability in admission to, access to, treatment in, or employment in its programs and activities.