Biography

Mark Esposito is a recognized expert in public policy, technology governance, and artificial intelligence. A researcher and social scientist, he is affiliated with the Berkman Klein Center for Internet & Society and the Center for International Development at the Harvard Kennedy School, where he leads public policy clinics focused on global technology governance.

 

Bridging academia, international organizations, and the entrepreneurial ecosystem, Mark Esposito works at the intersection of technological innovation, strategic decision-making, and societal impact. He is co-founder of several AI-focused initiatives, including Nexus FrontierTech, the AI Native Foundation, and The Chart ThinkTank, and serves as Chief Economist at micro1, an AI lab based in Silicon Valley.

 

Highly active on the international stage, he is a member of the World Economic Forum’s Global AI Alliance, a Senior Advisor at Strategy& (PwC), and a Professorial Fellow at the Mohammed Bin Rashid School of Government. A prolific author, he has co-authored 14 books on strategy, economics, governance, and organizational transformation.

 

Conference Description

In this keynote, Mark Esposito draws on the research behind his upcoming book, Becoming AI Native: Charting the Next AI Frontier, to propose a critical shift in perspective: moving from occasional AI experimentation to building truly AI-native organizations.

 

Rather than viewing AI as an additional tool, he explores what changes when AI is embedded at the very core of project design, governance, and delivery. This deep transformation reshapes approaches to risk management, resource allocation, and stakeholder engagement.

 

Drawing on real-world cases from his work with governments and organizations worldwide, Mark Esposito clearly distinguishes the real capabilities of AI from the surrounding hype. He highlights the skills, mindsets, and strategic capabilities that portfolio and project managers must now develop to thrive in environments where AI becomes foundational.

 

Objectives

By the end of this conference, participants will be able to:

• Understand the difference between occasional AI adoption and a truly AI-native approach

• Identify the impact of AI on project design, governance, and delivery

• Better assess the risks, opportunities, and ethical implications associated with AI integration

• Use a clear framework to decide where and how to introduce AI into their project environments