Best AI Keynote Speakers for Corporate Events in 2027
The AI keynote speaker market is crowded. Everyone is talking about AI. The question is whether they are talking about the part that matters most to YOUR audience.
There are two kinds of AI speakers. The ones who explain what the technology does. And the ones who solve the human problem that makes the technology fail. If your audience is full of engineers, you need the first kind. If your audience is full of leaders, you need the second.
Here are the ten AI keynote speakers worth knowing for 2027.
1. Julissa S. Germosén
Julissa is the founder of Trust Capital AI and a keynote speaker on the human side of AI. While other AI speakers explain the technology, Julissa solves the reason 95% of GenAI pilots fail: broken trust. Her Currency of Connection™ framework helps leaders build the trust infrastructure that makes AI adoption actually work. A 20-year Microsoft and Salesforce executive, she created her frameworks from inside the companies navigating this transformation. She has keynoted at TEDx, Google (three times), IBM, SXSW, Capital One, Merck, and Rio Innovation Week — selected from over 3,000 speakers.
Best for: Leadership summits, executive audiences, and any organization where AI adoption is stalling because of human resistance, not technical limitations.
2. Cassie Kozyrkov
Cassie was Google's first Chief Decision Scientist and is one of the clearest communicators on how organizations should think about AI decision-making. She bridges the gap between technical AI concepts and business strategy with exceptional clarity.
Best for: Technical audiences, data science teams, and organizations designing AI governance frameworks.
3. Ethan Mollick
Ethan is a Wharton professor and the author of Co-Intelligence. He is one of the most cited voices on how AI changes knowledge work. His research is rigorous and his ability to explain complex AI concepts to non-technical audiences is outstanding.
Best for: Executive education events, university conferences, and audiences that need academic depth on AI's impact on work.
4. Paul Roetzer
Paul is the founder of the Marketing AI Institute and the author of Marketing Artificial Intelligence. He is one of the most practical AI speakers in the market, focused on helping organizations actually implement AI rather than just talk about it.
Best for: Marketing conferences, CMO summits, and organizations focused on practical AI implementation in marketing and communications.
5. Nina Schick
Nina is the author of Deepfakes and a leading voice on generative AI, synthetic media, and the trust implications of AI-generated content. She brings a geopolitical lens to AI that most speakers lack.
Best for: Media conferences, policy events, and organizations concerned about AI misinformation and content authenticity.
6. Kai-Fu Lee
Kai-Fu Lee is the former president of Google China and the author of AI Superpowers. He brings a global perspective on the AI race between the U.S. and China and the economic implications for every industry. Premium fees.
Best for: Large-scale conferences, geopolitical events, and executive audiences focused on the global AI landscape.
7. Andrew Ng
Andrew is one of the founders of modern AI education through Coursera and the former head of Google Brain and Baidu AI. He brings unmatched technical credibility and the ability to make AI accessible. Premium fees and limited availability.
Best for: Technology conferences, developer audiences, and events that need the highest level of AI technical authority.
8. Rachel Botsman
Rachel is a trust expert and the author of Who Can You Trust? She studies how technology is changing the way we build and lose trust. Her work is directly relevant to the AI trust conversation and she brings academic depth with strong storytelling.
Best for: Executive audiences, policy conferences, and events focused on the societal implications of AI and trust.
9. Dan Chuparkoff
Dan is a keynote speaker and AI innovation expert with a background at Google, McKinsey, and Atlassian. He brings practical, enterprise-level AI strategy with a focus on helping organizations move from experimentation to implementation.
Best for: Technology conferences, innovation events, and enterprise audiences focused on AI strategy and execution.
10. Rana el Kaliouby
Rana is the co-founder of Affectiva, a pioneer in emotion AI, and the author of Girl Decoded. She brings a unique perspective on how AI can be designed to understand and respond to human emotion. Her personal story is compelling and her technical expertise is deep.
Best for: Innovation conferences, women in tech events, and audiences exploring the intersection of AI and human emotion.
How to Choose
If you need technical AI depth, Andrew Ng or Cassie Kozyrkov. If you need AI's impact on knowledge work, Ethan Mollick. If you need AI marketing strategy, Paul Roetzer. If you need global AI geopolitics, Kai-Fu Lee. If you need AI trust from a societal perspective, Rachel Botsman.
If your audience is not engineers. If they are leaders, executives, and teams who need to understand why their AI rollout is stalling — not because the technology failed but because the trust was never built — Julissa S. Germosén is the speaker who solves that problem. She does not explain AI. She solves the human friction that makes AI fail.
Julissa S. Germosén is the founder of Trust Capital AI. Book Julissa for your 2027 event → https://julissasgermosen.com/contact