Top 18 AI Speakers to Book for Your Event in 2026

Andrew Ng founded DeepLearning.AI and leads AI Fund, combining AI education, research, and company building. His earlier leadership roles include Stanford, Google Brain, Coursera, and Baidu.

Through courses, newsletters, startup building, and frequent talks, Ng translates AI research into practical guidance for builders and executives. His work spans machine learning, generative AI, agentic systems, AI education, and the organizational choices involved in putting AI to work.

Fei-Fei Li is co-founder and CEO of World Labs and the founding co-director of Stanford HAI. She is a Stanford computer science professor with pioneering work in computer vision and human-centered AI.

Li helped create ImageNet, a landmark dataset in modern computer vision, and has pushed human-centered AI through Stanford HAI. At World Labs, she is developing spatial intelligence and world models, giving technology leaders an idea of how AI systems may go beyond language

Geoffrey Hinton is a University Professor Emeritus at the University of Toronto and a 2024 Nobel laureate whose foundational neural-network research helped shape modern deep learning and AI.

Hinton’s work on neural networks and representation learning helped enable the deep-learning breakthroughs behind modern AI. Since leaving Google, he has also become a prominent public speaker on AI’s opportunities and risks, bringing decades of technical perspective to questions of safety and societal impact.

Demis Hassabis co-founded DeepMind and now serves as chair of Google DeepMind and chief scientist of Alphabet. His work include AGI, advanced research, and AI-enabled scientific discovery.

Hassabis has led work spanning reinforcement learning, AlphaGo, protein-structure prediction, and frontier AI systems. His talks connect AGI development with scientific discovery, safety, and long-term strategy, offering technology leaders a view from one of the field’s major research organizations.

Jensen Huang founded NVIDIA in 1993 and has led it as CEO as the company evolved from graphics computing into a central platform provider for accelerated computing, data centers, and modern AI.

Huang has become a central public voice on accelerated computing, AI factories, generative AI, robotics, and the infrastructure behind frontier models. His keynotes connect chip architecture and software platforms with the practical technology shifts reshaping enterprise computing.

Mira Murati is co-founder and CEO of Thinking Machines Lab, an AI research and product company she launched after serving as chief technology officer at OpenAI and helping lead its frontier AI work.

Murati has worked at the center of frontier-model development and now leads a lab focused on making advanced AI more understandable, customizable, and collaborative. Her public talks explore multimodal systems, human-AI interaction, research strategy, and the choices involved in building powerful AI responsibly.

Dawn Song is a UC Berkeley computer science professor and vice president of AI research at Meta, with a career in AI security, privacy, trustworthy systems, entrepreneurship, and education.

Song’s research and company-building work centers on secure, trustworthy AI, including agent security, privacy, and frontier-model safety. She also teaches and speaks widely on agentic AI and helps technology leaders understand new AI tools and the security needed to use them safely.

Werner Vogels is Amazon’s chief technology officer and vice president. He is an engineer and a distributed-systems leader who has helped shape the company’s approach to cloud architecture and technology.

Vogels writes and speaks on distributed systems, cloud architecture, resilience, security, and the evolution of software development. As generative AI changes how systems are built, he shows how companies can use new AI tools while keeping their technology reliable as it grows.

Taroon Mandhana is CTO of AI & Teamwork at Atlassian, where he leads engineering for Jira, Confluence, Loom, and Rovo. His earlier AI and search leadership roles include Microsoft and Meta.

Mandhana leads Atlassian’s work on Rovo and AI across its teamwork products, with a focus on context-rich agents and AI-native collaboration. His talks draw on nearly 15 years in AI to explain how teams can integrate agents into real workflows, developer systems, and enterprise software.

David Talby is CEO of John Snow Labs and Pacific AI. He is an applied AI leader who created the open-source Spark NLP and LangTest libraries and chairs the Applied AI Summit for practitioners.

Talby focuses on putting AI into production in regulated healthcare and life-sciences settings. His talks cover agentic AI, NLP, model evaluation, governance, and compliance, grounding AI strategy in the technical and operational details required for safe, useful deployment.

Cassie Kozyrkov is CEO of Kozyr and Google’s former chief decision scientist. She is known for connecting decision intelligence, statistics, data science, and AI with executive leadership and education.

Kozyrkov helped popularize decision intelligence as a bridge between data, AI, and action. Her keynotes and courses focus on AI-first leadership, statistics, experimentation, and decision-making, helping leaders understand what AI can do and decide where it can be the most useful.

Manasi Vartak is an AI product and infrastructure leader who founded Verta, joined Cloudera through its acquisition, and now works on AI-defined vehicles at Rivian and Volkswagen Group Technologies.

Vartak founded Verta to tackle production AI infrastructure and later led enterprise AI work at Cloudera, including agentic and hybrid AI products. Her speaking includes AI adoption, model operations, governance, evaluation, and AI-native development, focusing on turning technical capability into usable systems.

Bernard Marr founded Bernard Marr & Co. and works across writing, advising, and keynote speaking on artificial intelligence, data, strategy, digital transformation, and the future of work.

Marr translates AI and emerging technology into accessible business strategy through books, articles, advisory work, videos, and keynotes. He regularly addresses generative AI, AI agents, data, digital transformation, and the future of work, giving executive audiences a broad view of technology’s business implications.

Adrien Treuille is Snowflake’s director of product for generative AI and the co-founder and former CEO of Streamlit. His earlier work spans robotics, simulation, and computer science research.

Treuille combines product leadership with a research background in robotics, simulation, and crowdsourcing. After building Streamlit into a widely used data-app platform, he moved into generative AI at Snowflake, where his work and talks connect AI product development with tools for data practitioners and enterprises.

Reid Hoffman is a technology entrepreneur and investor who co-founded LinkedIn. He is now focuses on building and investing in AI, including work with the AI drug-discovery company Manas AI.

Hoffman speaks and writes extensively about AI adoption, entrepreneurship, networks, and technological change while investing in and building AI companies. His work examines how individuals and organizations can use AI as a collaborator, alongside questions of innovation, governance, and economic impact.

Jonathan Reichental is founder of Human Future, an author, educator, and former city CIO whose work includes AI, digital transformation, smart cities, emerging technology, and public-sector innovation.

Reichental translates emerging technology into practical leadership and public-sector strategy through books, courses, consulting, and talks. His work covers generative AI, smart cities, blockchain, digital transformation, and technology governance, helping audiences understand how AI fits into wider changes in business and society.