Part of the AI People directory: a structured reference to the individuals shaping artificial intelligence across research, industry, governance, ethics and public discourse.
Demis Hassabis, AI research and scientific AI, United Kingdom. Co-founded DeepMind and led teams that created AlphaGo, AlphaFold and AlphaGeometry. AlphaFold's solution to protein folding, a fifty-year grand challenge, demonstrated AI's potential to accelerate scientific discovery. Co-recipient of the 2024 Nobel Prize in Chemistry. *Key works: AlphaGo; AlphaFold; AlphaGeometry.*
Sam Altman, AI deployment and policy, United States. CEO of OpenAI, who led the deployment of ChatGPT to hundreds of millions of users while navigating the tension between rapid deployment and safety, and advocating for AI governance. *Key works: ChatGPT deployment; policy testimony; AI governance advocacy.*
Dario Amodei, AI safety and frontier models, United States. CEO of Anthropic, which he co-founded after leaving OpenAI over safety concerns. A former VP of Research at OpenAI who now leads a lab explicitly focused on safety research alongside capability development, and an advocate for responsible scaling. *Key works: Constitutional AI; scaling-laws research; responsible scaling.*
Daniela Amodei, AI operations and governance, United States. President of Anthropic, overseeing operations of one of the leading safety-focused AI labs. Her leadership in building organisational structures for responsible AI development influences how the industry approaches governance. *Key works: Anthropic organisational leadership.*
Jensen Huang, AI hardware and computing infrastructure, United States. CEO of NVIDIA, whose GPUs became the essential infrastructure for training neural networks. He bet the company on AI acceleration a decade before it became obvious, creating the CUDA ecosystem that now powers virtually all deep learning. *Key works: the CUDA platform; GPU computing for AI.*
Jeff Dean, large-scale systems and ML infrastructure, United States. Google Senior Fellow who led the development of TensorFlow, TPUs and large-scale machine learning infrastructure, and co-authored papers on MapReduce, BigTable and deep learning systems that defined how AI operates at scale. *Key works: TensorFlow; TPU development; large-scale ML systems.*
Satya Nadella, enterprise AI and platform strategy, United States. Microsoft CEO who repositioned the company around AI through the OpenAI partnership and Copilot integration, reshaping how organisations adopt AI capabilities. *Key works: Microsoft AI strategy; the OpenAI partnership; Copilot.*
Mustafa Suleyman, AI products and governance, United Kingdom. Co-founded DeepMind, then led Google's conversational AI efforts, and now heads Microsoft AI. Author of The Coming Wave, which argues that AI and biotechnology create governance challenges unlike any humanity has faced. *Key works: The Coming Wave (2023); DeepMind Applied; Microsoft AI leadership.*
Andrew Ng, AI education and applied AI, United States. Made AI education accessible to millions through Coursera's machine learning course and DeepLearning.AI, and co-founded Google Brain. His focus on practical adoption and workforce development complements the research community. *Key works: the Coursera ML course; DeepLearning.AI; Google Brain.*
Mira Murati, AI research leadership, United States. Former CTO of OpenAI who oversaw the development and launch of GPT-4 and ChatGPT, one of the most senior technical leaders at a frontier lab navigating the challenges of deploying advanced AI responsibly. *Key works: GPT-4 and ChatGPT technical leadership.*
Greg Brockman, AI infrastructure and lab building, United States. Co-founder and former President of OpenAI who built the engineering organisation behind the GPT models, scaling the research infrastructure that enabled OpenAI's transition from research lab to deployment-focused company. *Key works: OpenAI co-founding; engineering leadership.*
Arthur Mensch, efficient models and open source, France. CEO of Mistral AI, leading European efforts to build competitive open-weight language models and advocating for European AI sovereignty, demonstrating that frontier capabilities do not require American big-tech scale. *Key works: the Mistral models; European AI leadership.*
Clem Delangue, open-source AI and model distribution, United States. CEO of Hugging Face, which became the central hub for sharing and accessing AI models, building infrastructure that democratised access to AI worldwide. *Key works: the Hugging Face platform; the Transformers library.*
Lisa Su, AI hardware competition, United States. CEO of AMD, driving competition in AI chips against NVIDIA's dominance. Her leadership in developing AI accelerators affects the infrastructure costs and availability that shape who can build frontier AI systems. *Key works: AMD AI strategy; the MI300 chips.*