Chief AI Officer (CAIO) Program

Prepare to lead AI initiatives, build scalable infrastructure, and drive transformative AI adoption.

Artificial intelligence is revolutionizing how businesses operate by enabling organizations to unlock new revenue streams, enhance productivity, and optimize operations.

But the full potential of AI often remains untapped as businesses grapple with aligning their AI strategy with their business strategy so that they achieve meaningful outcomes. This program prepares executives and other leaders to take on the chief AI officer (CAIO) role, an emerging position that integrates AI initiatives with broader organizational goals while managing risk and fostering innovation.

Applications for the cohort beginning September 28, 2026, are now open. Learn More

In partnership with Global Alumni.

Read a recent article from professor Roger Moore:

The biggest challenges in AI leadership are less about technology and more about identifying the business problem that needs to be solved.

AI is rapidly transforming industries as organizations invest in advanced technologies to boost revenue, improve margins, and enhance productivity. This surge has driven investment in the creation of AI-related roles, including the chief AI officer (CAIO), which aims to centralize AI integration and mitigate associated risks.

However, despite growing AI investment and the rise of roles like CAIOs, many organizations struggle to align AI with business outcomes.

In response to this challenge, this program merges technical, organizational, and strategic approaches to equip aspiring CAIOs with the skills to lead impactful AI initiatives, identify high-value projects, build scalable infrastructure and capabilities, and drive transformative AI adoption across their organizations.

Course 1: AI Present and Future Explore emerging AI technologies, recognize how they may introduce new challenges and opportunities both technically and for the business, and assess the AI maturity of your organization.

Course 2: From Business Strategy to AI Strategy Align AI strategy with business goals, identify value-creation opportunities for AI, and measure the ROI for AI initiatives.

Course 3: Data Infrastructure and Technology Evaluate data strategies, infrastructure, and costs to advance data capabilities for AI success.

Course 4: Deploying and Scaling AI Build, deploy, and manage scalable AI systems while mitigating risks and optimizing operations.

Course 5: Leading AI Transformation in the Enterprise Design transformation models, align with goals, and build trust among technical and nontechnical stakeholders.

Course 6: AI Governance Create governance models, ensure compliance, and balance security, ethics, and regulatory standards.

Course 7: Leadership within the C-Suite Strengthen C-suite collaboration, communicate AI vision, and enhance leadership influence.

This program will benefit executives who are: