Based in San Francisco, California, USA

CEO of OpenAI and the most consequential single individual in the global AI industry during the review period. The development of GPT-5, the restructuring of OpenAI from a nonprofit to a public benefit corporation, congressional testimony, and Altman's relentless public engagement on AI safety, regulation, and civilisational opportunity made him the most discussed person in artificial intelligence globally throughout 2025-2026. His active presence on X, podcast appearances, and Senate hearings gave millions of people a window into how frontier AI is being built and governed in real time. Whatever one's view of his leadership choices, no individual more directly shaped the public and policy conversation about what AI is and where it is going during the review period.

Based in Silicon Valley area, California, USA

Co-founder and CEO of NVIDIA — which became, during the review period, the most valuable company in the world and the undisputed infrastructure layer beneath all serious AI development globally. His annual GTC conference keynote in 2025 set the agenda for AI hardware, software, and platform development across the entire industry and was watched by millions worldwide. Received the Queen Elizabeth Prize for Engineering in 2025 alongside Fei-Fei Li in recognition of his foundational contributions to AI computing. Named TIME's Most Influential Person of 2024. His leather jacket has become a cultural symbol of the AI era — a deliberate and effective piece of personal brand building that has made him one of the most recognisable executives on earth. His technical depth and long-term conviction about GPU computing — maintained through years when the investment case was far from obvious — represents one of the most disciplined technology leadership stories in corporate history. The most influential person in the technology ecosystem by any quantitative measure of the review period.

Based in London, UK

Co-founder and CEO of Google DeepMind — the organisation pursuing artificial general intelligence more seriously than any other — and 2024 Nobel Prize in Chemistry laureate alongside David Baker and John Jumper for AlphaFold's contribution to protein structure prediction, one of the most significant scientific achievements of the century. Throughout 2025-2026, DeepMind's continued research output on Gemini models, robotics, and AGI timelines made Hassabis the most credentialed scientific voice in the AI industry. His combination of world-class technical achievement and public intellectual engagement on what AGI means for humanity makes him uniquely positioned on this list: a working scientist, a company builder, and a genuine philosopher of what intelligence is.

Based in San Francisco, California, USA

Co-founder and CEO of Anthropic — which throughout 2025-2026 established itself as the AI safety company with the most serious technical credibility, with Claude models widely regarded as the most carefully developed frontier models available. Named one of TIME's Most Influential People of 2025. A physics PhD and former OpenAI VP of Research, Amodei's combination of genuine technical depth and a commitment to making AI safety arguments in plain language rather than specialist jargon makes him the most credible public voice on responsible AI development. His essays, podcast appearances, and congressional testimony throughout the review period were among the most important contributions to the global AI governance conversation.

Based in Stanford, California, USA

Creator of ImageNet — the large-scale visual dataset that unlocked modern computer vision and catalysed the deep learning revolution — Sequoia Capital Professor of Computer Science at Stanford, Co-Director of Stanford's Human-Centered AI Institute, and co-founder of World Labs, which raised $230 million at a $1 billion+ valuation to build spatial intelligence systems. In 2025 she was named one of TIME's "Architects of AI" as a Person of the Year honouree, received the Queen Elizabeth Prize for Engineering alongside Jensen Huang, received an honorary doctorate from Yale, and spoke at the AI Action Summit in Paris in February 2025. Author of The Worlds I See — a Financial Times Best Book of 2023, one of Barack Obama's recommended AI reads, and still actively cited throughout the review period. The most multi-dimensional figure in AI: researcher, founder, educator, ethicist, and communicator simultaneously.

Based in Palo Alto, California, USA

Founder of DeepLearning.AI — which has now taught over 7 million learners how to build and apply AI — General Partner at AI Fund, Co-Founder and Chairman of Coursera, former head of Google Brain and Baidu AI, and board director at Amazon. Throughout 2025-2026, Ng launched his Agentic AI course — the most in-demand new DeepLearning.AI programme of the period — published his weekly The Batch newsletter to hundreds of thousands of subscribers, and remained the most prolific and practically trusted AI educator in the world. TIME 100 AI honouree. His mission — democratising AI education at scale — and his execution of it make him the most practically impactful AI leader for the working professional audience this list serves.

Based in New York, USA

Chief AI Scientist at Meta, Turing Award laureate, and the most intellectually combative public voice in AI — actively and publicly challenging the consensus view that large language models are the path to general intelligence, arguing instead for architectures that reason about the world the way humans do. With nearly 1 million LinkedIn followers and an active daily posting cadence throughout 2025-2026, LeCun's disagreements with the AI safety community, his public debates with other AI leaders, and his genuine technical depth make him one of the most important voices in the field. A Turing Award winner who posts daily and argues publicly — a rare combination of institutional credibility and intellectual independence.

Based in Toronto, Ontario, Canada

2024 Nobel Prize in Physics laureate alongside John Hopfield for foundational work on artificial neural networks, and the most credentialed voice in the AI safety conversation following his departure from Google in May 2023 to speak freely about AI risks. Throughout 2025-2026, Hinton remained the most consequential AI safety voice precisely because his concern comes from inside the field — he helped build the technology he is warning about, which gives his caution a weight that policy advocates without technical credentials cannot match. His public warnings about AI agents taking control from humans continued to be among the most widely discussed AI safety perspectives globally throughout the review period.

Based in Silicon Valley Area, California, USA

Co-founder of DeepMind, CEO of Microsoft AI, and author of The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma — one of the most widely read books on AI's civilisational implications, which remained a reference text for policymakers and executives throughout 2025-2026. In his role at Microsoft AI he oversaw the integration of AI capabilities across a product suite affecting hundreds of millions of users daily. A genuinely rare figure: AI pioneer, bestselling author, and major corporate executive simultaneously, with credibility in all three domains and a public voice that cuts across all of them.

Based in New York, USA

Former Global Head of Machine Learning for Startups at Amazon Web Services, AI advisor to Fortune 500 companies and governments, angel investor, and the most practically useful AI business strategist on LinkedIn with over 1.5 million professional followers. LinkedIn Top Voice for AI and Technology multiple times. Throughout 2025-2026, Miller's daily content on AI strategy, governance, and implementation for enterprises — grounded in genuine operational experience rather than theory — was among the most widely shared AI content on the platform. Named AI Innovator of the Year and consistently ranked among the top global AI influencers. The most practically accessible AI voice for business leaders navigating real-world AI adoption.

Based in Beijing, China

Chairman and CEO of Sinovation Ventures, author of AI Superpowers: China, Silicon Valley, and the New World Order — still the most widely read book on the US-China AI competition — and the most important bridge voice between Western and Chinese AI development in the world. Throughout 2025-2026, as AI geopolitics intensified dramatically with new US export controls and Chinese model releases including DeepSeek, Lee's unique position as both a practitioner and investor across both ecosystems made him the most credible interpreter of the global AI landscape for an international audience.

Based in New York / Los Angeles, USA

Senior Principal Researcher at Microsoft Research, co-founder of the AI Now Institute, Professor at USC Annenberg, and author of Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence — the most rigorous and widely cited critical examination of what AI actually requires in terms of labour, energy, data, and political power. Named to TIME's 100 Most Influential People in AI. Throughout 2025-2026, as the environmental cost of AI data centres became a mainstream policy concern, Crawford's empirical work on AI's material costs gave the conversation an evidential foundation it had previously lacked. The most important critical voice in the AI field with genuine research credibility behind every claim.

Based in Stanford, California, USA

Founder of the Distributed AI Research Institute (DAIR), co-founder of Black in AI, and the most prominent voice on AI bias, racial equity in machine learning, and what genuinely inclusive AI development requires. Her departure from Google in December 2020 over a paper on large language model risks became one of the defining moments in the AI ethics debate, and her subsequent independence has given her a platform built entirely on her own credibility. Active throughout 2025-2026, Gebru's research and public advocacy on the specific harms that biased AI systems cause to marginalised communities continued to be among the most practically important contributions to the AI ethics conversation.

Based in New York City, NY, USA

Cognitive scientist, author of Rebooting AI, and the most persistent and data-backed public critic of the claim that current large language models represent a credible path to general intelligence. Throughout 2025-2026, Marcus's Substack, media appearances, and congressional testimony consistently challenged AI hype with specific empirical evidence — pointing to failure modes, reasoning errors, and architectural limitations that enthusiasts preferred to minimise. His intellectual independence makes his criticism uniquely credible and his voice one of the most important balancing forces in the AI public conversation.

Based in Miami, Florida, USA

Former Chief Decision Scientist at Google — a role she held for seven years and largely invented — and the most accessible and practically useful educator on applied AI, decision intelligence, and what responsible AI deployment actually looks like inside real organisations. With a large LinkedIn following and a consistent publishing cadence throughout 2025-2026, Kozyrkov's work on the human decision-making layer that must sit above any AI system continued to be among the most practically cited content for data scientists, product managers, and executives navigating AI adoption.

Based in Milton Keynes, UK

Author of over 20 books on AI, big data, and digital transformation, Forbes contributor, and one of the most widely read AI communicators for business audiences globally. Throughout 2025-2026, Marr's weekly Forbes columns, LinkedIn content, and podcast were among the most widely consumed AI business content in the world, reaching millions of executives who need practical, jargon-free guidance on what AI means for their organisations. His combination of breadth, consistency, and accessibility has made him the most reliable AI explainer for the business community.

Based in Miami, Florida, USA

Award-winning AI expert, author of Intelligent Automation and Irreplaceable, keynote speaker delivering over 100 presentations per year to organisations including Fortune 500 companies and the World Economic Forum, with over 2 million social media followers. Throughout 2025-2026, Bornet's content on agentic AI, automation, and what human irreplaceability means in an AI-first world generated extraordinary engagement — including individual posts exceeding 11,000 likes. Regularly ranked in the top 10 global AI and automation experts. The most widely followed independent AI keynote voice in the world.

Based in Philadelphia, Pennsylvania, USA

Associate Professor at Wharton and co-director of Wharton's Generative AI Lab, author of Co-Intelligence: Living and Working with AI — one of the most practically useful books on how individuals and organisations should work alongside AI — and consistently one of the most widely cited academics on AI's practical implications for work and innovation. Throughout 2025-2026, Mollick's Substack newsletter and LinkedIn content — combining original AI experiments he ran himself with rigorous research synthesis — were among the most widely shared AI practitioner content available. His daily hands-on testing of AI tools gives his academic voice an operational credibility most researchers cannot claim.

Based in Miami-Fort Lauderdale area, Florida, USA

Multi-award-winning AI executive, founder of the AI Leadership Institute and the I ❤️ AI community, and one of the most active advocates for AI literacy and responsible AI practices across industries. With leadership experience at NPR, Microsoft, IBM, AWS, and Amazon Alexa, Russell brings a genuinely cross-industry practitioner perspective to AI leadership. Named a Top 25 Agentic AI Leader in 2025, a 4x Microsoft Responsible AI MVP, and a Top 25 Global Thought Leader in AI by Thinkers360. Throughout 2025-2026, her community-building work and AI literacy advocacy made her one of the most practically impactful practitioners building the human infrastructure that AI adoption at scale requires.

Based in Cleveland, Ohio, USA

Founder and CEO of Marketing AI Institute, host of The Artificial Intelligence Show podcast, and one of the most practically useful voices on AI adoption for business professionals. Throughout 2025-2026, Roetzer's analysis of real-world AI deployment case studies — including his widely cited breakdown of the Shopify AI mandate and its implications for every business — was among the most useful content for leaders navigating mandatory AI adoption. His ability to translate frontier AI developments into actionable business guidance, without oversimplifying or sensationalising, makes him one of the most valuable AI communication voices working today.

Based in London, UK

Founder of Stability AI — the open-source AI company behind Stable Diffusion — and one of the most vocal advocates for open, decentralised AI development as an alternative to closed, corporate-controlled AI systems. Though Mostaque stepped down as CEO of Stability AI in March 2024, his continued public advocacy throughout 2025-2026 for open-source AI, national AI sovereignty, and the democratisation of AI capabilities outside the control of a small number of US corporations made him one of the most important and provocative voices in the AI governance debate.

Based in Montreal, Quebec, Canada

Turing Award laureate alongside LeCun and Hinton, founder and Scientific Director of Mila — Quebec AI Institute — and the most credentialed academic voice in the AI safety movement, having shifted his public emphasis from AI capabilities to AI risks following the rapid advancement of large language models. Throughout 2025-2026, Bengio's testimony to governments globally, his leadership of international AI safety initiatives, and his technical contributions to AI interpretability made him the most consequential academic in the global AI governance conversation. A Turing Award winner who chose to use his credibility in service of safety rather than commercialisation.

Based in Berkeley, California, USA

Professor of Computer Science at UC Berkeley, author of Artificial Intelligence: A Modern Approach — the most widely used AI textbook in the world with over 4 million copies sold — and Human Compatible: Artificial Intelligence and the Problem of Control, and one of the most rigorous voices on AI alignment. Throughout 2025-2026, Russell's frameworks for building AI systems reliably aligned with human values continued to be deployed in policy discussions, regulatory frameworks, and corporate AI governance programmes globally. The academic whose work most directly bridges the gap between AI theory and AI policy.

Based in New York, NY, USA

Harold F. Linder Professor at the Institute for Advanced Study, former Acting Director of the White House Office of Science and Technology Policy under President Biden — where she oversaw development of the AI Bill of Rights — and one of the most credentialed voices on the intersection of AI, equity, and governance. Throughout 2025-2026, as the US AI policy environment changed dramatically, Nelson's independent voice on what effective and equitable AI governance requires — grounded in her direct experience building federal AI policy from the inside — became more rather than less important. The most senior former US government official actively and publicly working on AI governance in the current period.

Based in San Francisco, California, USA

Co-founder of Humane Intelligence, former Director of ML Ethics at Twitter/X, and one of the most practically experienced voices on AI auditing, red-teaming, and what algorithmic accountability looks like in practice. Named to TIME's 100 Most Influential People in AI. Throughout 2025-2026, Chowdhury's work building infrastructure for independent AI auditing and her public advocacy for oversight mechanisms that function in practice — at a moment when corporate AI deployment was accelerating faster than governance could keep up — made her one of the most consequential practitioners in the AI accountability space.