BUNDLE: Steering the Machine - Strategy, Risk, and Real World AI for Executives
BUNDLE: Steering the Machine - Strategy, Risk, and Real World AI for Executives
Artificial intelligence is reshaping industries, organizations, and society in real time. As a powerful General Purpose Technology, AI is transforming how businesses compete, how leaders make decisions, and how work itself is structured. With this rapid advancement come urgent questions around strategy, risk, workforce impact, governance, and ethics.
This bundled offering brings together two distinct NYU Stern Executive Education programs designed to give senior leaders both a broad, future-focused lens and a deeper strategic foundation.
The experience begins on March 2nd with AI and the Future of Work: Navigating What Comes Next, an immersive one-day focused program featuring seven of Stern’s leading faculty, including Vasant Dhar, Foster Provost, Anindya Ghose, and Michael Posner, and culminating in a capstone panel with Scott Galloway, Jonathan Haidt, and Suzy Welch. Together, they examine how AI is redefining markets, leadership, governance, and society.
It continues on April 13-14 with Leading in the Age of AI, a two-day program led by Professor Anat Lechner, which explores the strategic and organizational implications of AI adoption. The focus is not on technical mechanics, but on competitive advantage, leadership decision-making, and how to evolve and sustain AI-enabled enterprises responsibly.
Together, these programs equip executives to steer AI initiatives with clarity, manage risk thoughtfully, and lead with confidence in an era of profound technological transformation.
Upon completion of this course, participants will receive a Certificate of Achievement.
Program Takeaways
During this course, participants will:
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AI-Driven Business Insights
Develop a clear understanding of how AI is reshaping business models, competitive strategy, and organizational decision-making. -
Strategic Workforce Planning
Learn how to assess AI’s impact on work, talent, and organizational structures, and identify opportunities to align technology with human capital strategy. -
Leadership and Ethical Practice
Gain practical tools to lead AI adoption responsibly, address ethical considerations, and guide teams through the challenges of digital transformation.
Who Should Attend
Although there are no formal education or background requirements, this course is designed for executives who meet the criteria below. While we strongly encourage global participation, please note that all courses are taught in English. Proficiency in written and spoken English is required.
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Years of Experience
This course is designed for professionals with 5+ years of work experience -
Job Functions
Ideal for executives with existing leadership responsibilities, or who will be managing organizational change and growth -
Prerequisites
Intended for individuals who want to understand and develop their ability to lead organizational growth
Agenda
The following agenda is a sample and subject to change.
AI AND THE FUTURE OF WORK: NAVIGATING WHAT COMES NEXT
Join us on campus at NYU Stern School of Business in Greenwich Village for a full-day executive program held in Stern classrooms. The agenda features four faculty-led sessions and a capstone panel, with a light breakfast, midday catered lunch, and scheduled breaks throughout the day. The program concludes with an on-campus networking reception for continued conversation with faculty and peers.
Session 1: Thinking with Machines: How We Got Here and What Comes Next
Professor Vasant Dhar
Artificial intelligence has evolved through decades of research, experimentation, and real-world application. Professor Vasant Dhar traces its journey from early academic foundations to his pioneering work bringing AI to Wall Street in the 1990s. He connects those early breakthroughs in data-driven decision making to today’s challenges of trust, governance, and human judgment in the age of modern AI. Participants will leave with a clearer understanding of how the past informs the next chapter of intelligent systems.
Session 2: AI Strategy and the Economics of Prediction: Driving Value in the American Market
Professor Foster Provost
AI deployments often fail not due to technical flaws, but due to a misalignment between machine learning capability and core business strategy. This session provides senior executives with a clear, non-technical framework for translating AI/ML projects into demonstrable economic value, with a focus on competitive dynamics and deployment best practices common among successful U.S. technology leaders.
Session 3: Blueprints for an AI Driven Economy: Regulation, Reskilling, and Transformation
Professor Anindya Ghose
This talk will open with an overview of the emerging AI technology stack and its regulatory risks based on the ringside testifying experience of Professor Anindya Ghose in the highly visible and closely watched antitrust lawsuits brought by the US and European governments against Google and Meta during the last 5 years. He will then showcase how businesses can unlock value with the “House of AI” -- a structured approach to adopting descriptive, predictive, causal, and prescriptive AI methods using his academic research and consulting experience with over 45 companies across 20 countries and 12 industries over the last two decades. The framework calls for a Marshall Plan–style effort to reskill the workforce for an AI-augmented economy and is based on his best selling and award winning books, THRIVE and TAP. The talk will also include his recent academic work on the economics of generative AI, highlighting some unexpected outcomes in the digital economy.
Session 4: AI, Ethics, and the Global Corporation
Professor Michael Posner
AI doesn’t just transform productivity—it challenges our ethical foundations. Professor Michael Posner, a former U.S. Assistant Secretary of State for Democracy, Human Rights and Labor, will explore the complex human rights questions emerging from widespread AI adoption. From algorithmic bias to supply chain transparency, this session will offer executives a clear-eyed look at the risks—and responsibilities—of leading with AI at global scale.
Capstone Panel: Human After All? AI, Work, and What We Need to Get Right
A no-holds-barred conversation on the myths, risks, and real opportunities of AI in the workplace.
With Professors Scott Galloway, Jonathan Haidt, and Suzy Welch
In this wide-ranging conversation, three of the most influential voices in business and society tackle the uncomfortable truths about AI and the workplace. From the unraveling of middle management to the rise of algorithmic decision-making, this session will challenge conventional thinking about leadership, culture, and the human role in a tech-dominated future.
No scripts. No softballs. Just straight talk about where we’re headed—and what it will take to lead through the turbulence.
LEADING IN THE AGE OF AI
Join us on campus at NYU Stern School of Business in Greenwich Village for a two-day executive program held in Stern classrooms. Each day features four sessions led by Professor Anat Lechner, with a light breakfast, scheduled breaks, and a fully catered lunch. The program is designed to provide an in-depth, structured exploration of AI and its impact on business, combining interactive discussions with practical insights from leading experts.
Session 1: Introduction: The emergence of a new business model
Digitization and data structuring enable AI deployment, underpinning a new competitive business model centered on personalization, ecosystem partnerships, and capability-driven strategy.
Session 2: Mapping The growing presence and impact of AI across industries
Review global disruptive trends and the rise of AI as a game-changing technology, and examine their implications for competitive value and organizational viability.
Session 3: Work and AI – what has happened thus far
Assess the current state of AI, its impact on jobs and workforce dynamics, and how demographic shifts and automation are shaping organizational talent decisions.
Session 4: New forms/models of work are emerging
Explore the rise of hybrid, gig, platform, and hub-based employment models and how these structures function in an AI-enabled economy.
Session 5: Introduction: Structural considerations for the AI-enabled organization
Examine how AI-driven organizations differ structurally and how to design for data-driven innovation, efficiency, and scalable customer value delivery.
Session 6: Talent considerations for the AI-enabled organization
Discuss how organizations approach upskilling and workforce development to ensure employees can effectively work alongside AI and emerging technologies.
Session 7: Ethical considerations for the AI-enabled organization
Analyze key ethical challenges surrounding AI adoption and the governance practices emerging to address risk, accountability, and trust.
Session 8: A note on Leadership
Review the evolving demands on leaders, including digital acumen and the ability to guide organizations in complex, fast-paced, and remote work environments.
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