36K Artificial intelligence has moved from research labs into almost every industry, and a relatively small group of people has shaped how it got there. Some built the core techniques. Some run the companies shipping the models and the hardware they run on. Others set the terms of the public debate on safety, ethics and policy. This list covers fifteen of the most influential people in AI as of 2026. It mixes researchers, builders and critics, because influence in AI comes from all three. Roles change fast in this field, so each entry reflects where the person is today. 1. Geoffrey Hinton Often called the “Godfather of AI,” Geoffrey Hinton did foundational work on neural networks and backpropagation that underpins modern deep learning. He shared the 2018 Turing Award with Yann LeCun and Yoshua Bengio, and the 2024 Nobel Prize in Physics with John Hopfield. Hinton left Google in 2023 so he could speak freely about AI risk, and he has since become one of the most prominent voices calling for caution.X: @geoffreyhinton 2. Yann LeCun Yann LeCun pioneered convolutional neural networks, the basis of modern computer vision. After 12 years at Meta, where he was chief AI scientist, he left in late 2025 to co-found AMI Labs, a Paris-headquartered startup building “world models” that learn from video and sensor data rather than text alone. He serves as executive chairman and keeps his professorship at NYU. LeCun is also one of the most vocal advocates for open-source AI.X: @ylecun | LinkedIn 3. Andrew Ng Andrew Ng co-founded Google Brain, served as chief scientist at Baidu and co-founded Coursera. Today he runs DeepLearning.AI and the venture studio AI Fund. His courses have taught machine learning to millions of people, which makes him one of the field’s most important educators as well as an active investor and policy voice.X: @AndrewYNg | LinkedIn 4. Fei-Fei Li Fei-Fei Li led the ImageNet project, which gave researchers a large-scale dataset for training AI models and helped spark the deep learning boom. She co-founded Stanford’s Human-Centered AI Institute and is now co-founder and CEO of World Labs, which builds “spatial intelligence” models that generate and reason about 3D worlds. Its first product, Marble, turns images and text into explorable 3D environments.X: @drfeifei | LinkedIn 5. Demis Hassabis Demis Hassabis co-founded DeepMind, the lab behind AlphaGo and AlphaFold. AlphaFold’s protein structure predictions earned him a share of the 2024 Nobel Prize in Chemistry, and the work has had a lasting impact on healthcare and drug discovery research. In August 2026 he stepped back from day-to-day leadership to become chair of Google DeepMind and chief scientist of Alphabet, and he continues to lead the drug discovery company Isomorphic Labs.X: @demishassabis | LinkedIn 6. Elon Musk Elon Musk co-founded OpenAI in 2015 and left its board in 2018. In 2023 he founded xAI, which builds the Grok models, and in February 2026 xAI merged into SpaceX. As CEO of Tesla and SpaceX, Musk also shapes AI through autonomous driving and robotics, and he has been one of the most prominent public voices on AI risk for more than a decade.X: @elonmusk 7. Stuart Russell A professor at UC Berkeley, Stuart Russell co-wrote Artificial Intelligence: A Modern Approach, the standard AI textbook used in universities worldwide. He founded the Center for Human-Compatible AI, and his book Human Compatible lays out the problem of keeping increasingly capable AI systems aligned with human values. He remains a leading voice on AI safety and international governance.LinkedIn 8. Timnit Gebru Timnit Gebru is a leading researcher on bias and accountability in AI systems. She co-founded Black in AI and, in 2021, founded the Distributed AI Research Institute (DAIR), an independent institute studying the real-world effects of AI on communities. Her research and advocacy have shaped how the industry talks about fairness, data practices and who AI is built for.LinkedIn 9. Ray Kurzweil Futurist, inventor and author Ray Kurzweil has spent decades predicting where AI is headed, including his well-known forecast of a technological “singularity.” He spent more than a decade working on language and machine learning at Google. His 2024 book The Singularity Is Nearer updates those predictions for the era of large language models, and his ideas continue to shape public expectations of AI. 10. Jeff Dean Jeff Dean spent 27 years at Google, where he co-created foundational large-scale systems, co-founded Google Brain and served as chief scientist. He helped lead development of the Gemini models. In August 2026 he left Google to co-found Discovery Loop, a public benefit corporation that uses AI to run and iterate on scientific experiments at scale.X: @jeffdean | LinkedIn 11. Sam Altman As CEO of OpenAI, Sam Altman leads the company behind ChatGPT, the product that brought generative AI to a mass audience. He is one of the most visible figures in the industry, shaping how AI is commercialized, funded and regulated, and how much computing infrastructure is being built to support it.X: @sama 12. Jensen Huang Jensen Huang co-founded NVIDIA and has led it as CEO since 1993. NVIDIA’s GPUs and software became the default platform for training and running AI models, which puts Huang at the center of the AI infrastructure buildout. Few individual decisions shape how much AI the world can run as much as NVIDIA’s product roadmap. 13. Dario Amodei Dario Amodei co-founded Anthropic in 2021 after leading research at OpenAI, and serves as its CEO. Anthropic builds the Claude family of models and has made safety research, including techniques for understanding what happens inside models, central to its work. Amodei’s essays on the long-term upside and risks of AI are widely read across the industry. 14. Ilya Sutskever Ilya Sutskever co-authored AlexNet, the 2012 breakthrough that kicked off the deep learning era, and later co-founded OpenAI, where he was chief scientist. In 2024 he co-founded Safe Superintelligence (SSI), a lab focused solely on building safe superintelligent systems, and he became its CEO in 2025. His views on scaling and research direction carry unusual weight among researchers.X: @ilyasut 15. Mustafa Suleyman Mustafa Suleyman co-founded DeepMind with Demis Hassabis and later co-founded Inflection AI. Since 2024 he has led Microsoft AI, where his focus has shifted toward building Microsoft’s own frontier models through a dedicated superintelligence team. His book The Coming Wave argues that powerful AI must be developed with strong containment and oversight.X: @mustafasuleyman Influencing the future These fifteen people represent the full range of influence in AI: the researchers who invented the core methods, the leaders running the labs and chipmakers, and the critics and safety researchers pushing the field to account for its effects. Several of them have changed roles in the last year alone, a sign of how quickly the field is still moving. Following their work is one of the most direct ways to understand where AI is heading next. Frequently asked questions Who is the most influential person in AI? There is no single answer. Geoffrey Hinton is often named for his foundational research and Nobel Prize, while Sam Altman and Jensen Huang are often named for their influence on how AI is built and deployed today. Who are the “godfathers of AI”? The title usually refers to Geoffrey Hinton, Yann LeCun and Yoshua Bengio, who shared the 2018 Turing Award for their work on deep learning. Which AI pioneers have won a Nobel Prize? In 2024, Geoffrey Hinton shared the Nobel Prize in Physics with John Hopfield for work on neural networks, and Demis Hassabis and John Jumper shared the Nobel Prize in Chemistry with David Baker for protein structure prediction and design. Who are the leading voices on AI safety and ethics? From this list, Geoffrey Hinton, Stuart Russell, Timnit Gebru, Dario Amodei and Ilya Sutskever are among the most prominent, each with a different focus, from existential risk to bias and accountability. Further reading: AI data pipelines
