AI Leadership Workshop for Corporate Executives
This executive AI leadership workshop helps senior teams build a shared understanding of where AI is headed and how to lead transformation over the next decade. Participants define AI goals, assess readiness, and create a practical leadership roadmap grounded in real-world examples.
About This Workshop
Jeremiah Owyang, TED AI closing speaker on AI culture and company performance (revenue per employee of top AI companies), investor in AI-native startups, early thought leader on AI culture, and community organizer in San Francisco, will guide your executive team on how to build an AI leadership strategy for the next decade.
The session begins with a one-hour keynote that sets a shared foundation across the leadership team. Jeremiah will define the vision for where AI is heading, establish common terms and taxonomies, and provide an industry and market overview suitable for executives planning long-term strategy.
Next, executive teams will break into working groups to envision how AI will improve their business in three areas: cost savings, revenue generation, and net new innovations. Groups will discuss, build plans, and report back. Findings, risks, opportunities, needs, and goals will be documented on paper or digital slides and shared with the group.
Afterward, Jeremiah will outline the internal changes required to lead AI transformation. This includes organizational readiness, data and cultural shifts, and an introduction to The Five AI Cultures framework, which helps leaders understand where their teams are today and what maturity looks like. The session concludes with practical planning guidance and examples of how companies are already adopting AI to drive measurable outcomes.
What you will get:
A seasoned, trained professional speaker who will also facilitate hands-on group participation
An industry leader who helped define the AI culture framework in Silicon Valley
Research-based slides suitable for a business audience
Real-world case examples of how companies use AI to reduce costs, improve revenue, or launch new innovations
A clear explanation of how AI adoption changes organizational and market relationships
A vendor and market breakdown to give executives a grounded view of the ecosystem
Forecasts and predictions of what is to come for enterprise AI, including workforce shifts and operating model changes
Learning Objectives
Build a shared executive understanding of AI trends and market dynamics
Define AI goals tied to revenue, cost reduction, and innovation
Assess organizational readiness using AI maturity and culture frameworks
Understand how AI changes workforce and operating models
Create a leadership roadmap for enterprise AI adoption