Strategies and Skills for AI Leadership
Genuine opportunity
Absolute productivity
Human-AI collaboration
For you and your team
(February-April 2026: Interactive Zoom course)
This is not a course for engineers. It's for leaders who decide what engineers should build—who want to see AI used effectively in their company.
They also want good human outcomes: Customers are recognized, staff join the new workflow, and it’s great for the bottom line.
Success with AI depends less on machine learning, and more on organizational and human learning.
In this course, we explore AI’s strategic power. This is the power to improve and learn from its interaction with people.
We’ll learn how AI systems “think,” what they can and cannot do, and how to handle the risks associated with them—including the risks to human jobs and cognition.
We do this in the context of your own business challenges. The course is built around the issues you face today.
There are three modules, one per month.
Each consists of three one-hour Zoom sessions.
Between sessions, you work on a project related to your own goals, with responsive coaching as you need it.
February: AI Concepts and Capabilities
Gain the strategic vocabulary to confidently lead projects that deploy AI. Learn what automated technologies—language models, decision-making systems, robotics, generative AI—can and cannot do. Design a proof-of-concept project that fits your immediate needs.
March: GenAI Proficiency
Develop prompting and "vibe-coding" techniques that extract reliable insight from large language models. Improve productivity and augment your overall capabilities with AI. Build a team of adept AI users who raise one anothers’ game.
April: Risks, Biases, and Rewards
Master the AI dilemma: Producing good outcomes for people. Learn how algorithmic errors and biases emerge and how to detect them before they damage your reputation. Establish verification protocols that protect against hallucinations. Build trust through explainable AI practices.
Individual leaders: 9 sessions and assignments over three months, plus coaching
Billed monthly: $1,250/month
Payment in advance: $3,000 ($750 savings)
Team of 3 or more: 9 sessions and assignments; plus dedicated team coaching
Billed monthly: $900/month per team member
Payment in advance: $2,000 ($1,750 savings) per team member
Consultants, coaches, not-for-profits and educators: Contact me for arrangements tailored to your situation.
Art Kleiner is the coauthor of The AI Dilemma: 7 Principles for Responsible Technology, and coauthor with Alexandra Diening of A Strategy for Human-AI Symbiosis. He is also the editorial director of Peter Senge’s Fifth Discipline Fieldbook series. A former managing director at PwC, he develops strategies and practices at the nexus of machine learning, human learning, and organizational learning. He teaches design for responsive technology and future studies at New York University’s Interactive Media Arts program.
Previously available only to advanced NYU students, this course is now open to working professionals.
The workshop with [Art] Kleiner is giving me permission to think and talk about strategic leadership.... If we are to be good stewards of the resources we control, and the power that’s been delegated to us, we ought not squander our energies on that which doesn’t work.
Sarah Drummond, Founding Dean, Andover Newton Seminary, Yale Divinity School, ”Reconsidering Strategic Thinking,” published on Medium
“Art Kleiner has a superb facilitation style; a remarkable ability to hold the space. I appreciated how he honored peoples’ requests, giving them thought and consideration, yet keeping us moving as a group through the information we all wanted to hear, know, and understand. ”
Executive course feedback