The Most Powerful AI Influencers to Follow in 2027
The 2027 edition of Engatica's AI influencers list — researchers, builders, founders and analysts shaping how AI agents and LLMs are built and used.
When Stanford's AI Index team counted 2025's notable AI models, more than 90% came from industry rather than universities — a near-complete reversal of where AI leadership sat a decade ago. Influence in AI now sits inside companies: with the researchers who set lab agendas, the founders who decide what gets built, and the executives who choose what gets released. This list tracks those people — and what each of them actually did in the last year to earn their place on it.
The backdrop, from Stanford HAI's AI Index 2026: generative AI reached 53% population-level adoption within three years — faster than the PC or the internet — and global corporate AI investment doubled to $581.7B in 2025, with US private investment accounting for $285.9B of it. The accountability side has not kept pace: documented AI incidents rose to 362 in 2025, up from 233 in 2024, while the Foundation Model Transparency Index fell from 58 to 40. That gap is part of what this list measures.
How we picked them
Influence here means one of three things: you set the research agenda, you ship products that millions use, or your analysis reliably helps other people decide. Follower counts alone did not qualify anyone. The list is unranked within three groups — research, builders and founders, and voices worth your feed.
| Name | Known as | Follow for |
|---|---|---|
| Andrew Ng | Founder, DeepLearning.AI; Stanford adjunct | Machine learning education, AI strategy |
| Yann LeCun | Executive chairman & co-founder, AMI Labs; NYU professor | Deep learning research, open science |
| Fei-Fei Li | Co-director, Stanford HAI; co-founder & CEO, World Labs | Computer vision, human-centred AI |
| Geoffrey Hinton | Professor emeritus, Toronto; Turing laureate | Deep learning foundations, AI safety |
| Demis Hassabis | Chair, Google DeepMind; Chief Scientist, Alphabet; CEO, Isomorphic Labs | AGI research, AlphaFold, science AI |
| Sam Altman | CEO, OpenAI | Frontier models, AI products |
| Dario Amodei | CEO, Anthropic | AI safety, frontier model research |
| Mustafa Suleyman | CEO, Microsoft AI; leads the MAI Superintelligence Team | Consumer AI, Inflection |
| Allie Miller | CEO, Open Machine; AI advisor | Enterprise AI adoption |
| Cassie Kozyrkov | CEO, Kozyr; ex-Google Chief Decision Scientist | Decision intelligence |
| Bernard Marr | Author and futurist | Applied AI and business strategy |
| Ronald van Loon | CEO, Intelligent World | Data and AI leadership |
| Pascal Bornet | Author, Intelligent Automation | Agentic AI and automation |
| Mark Minevich | Investor and author, Going Global Ventures | AI strategy and policy |
| Kate Darling | Researcher, MIT Media Lab | Robot ethics, human–robot interaction |
| Timnit Gebru | Founder, DAIR Institute | AI ethics and fairness research |
| Kate Crawford | Author, Atlas of AI; USC / Microsoft Research | Politics and costs of AI systems |
| Joy Buolamwini | Founder, Algorithmic Justice League | Algorithmic bias |
| Andrew Trask | Founder, OpenMined | Privacy-preserving AI |
| Harrison Chase | CEO, LangChain | LLM agents and frameworks |
| Chip Huyen | Author, Designing Machine Learning Systems | ML systems, AI engineering |
| Andrej Karpathy | Anthropic pretraining team; founder, Eureka Labs (paused); ex-Tesla AI | Deep learning education, LLM engineering |
| Swyx (Shawn Wang) | Editor, Latent Space | AI engineering community |
| Simon Willison | Independent developer and writer | LLMs in practice, tools |
| Ethan Mollick | Professor, Wharton | AI in work and education; One Useful Thing |
| Azeem Azhar | Founder, Exponential View | AI and technology economics |
| Benedict Evans | Independent analyst | Tech and AI market analysis |
| Ian Bremmer | President, Eurasia Group | AI geopolitics |
| Kai-Fu Lee | CEO, 01.AI; author, AI Superpowers | Enterprise and sovereign AI, China–US dynamics |
| Thomas Davenport | Professor, Babson; author | AI in business processes |
| Erik Brynjolfsson | Director, Stanford Digital Economy Lab | Economics of AI and work |
| Daron Acemoglu | Professor, MIT; Nobel laureate in Economics | AI, power and prosperity |
| Yoshua Bengio | Professor, Université de Montréal; founder, LawZero; Mila founder | Deep learning, AI safety |
| Stuart Russell | Professor, UC Berkeley; author, Human Compatible | AI alignment |
| Max Tegmark | Professor, MIT; Future of Life Institute | AI risk and governance |
| Gary Marcus | Cognitive scientist and author | Critiques of deep learning, neuro-symbolic AI |
| Melanie Mitchell | Professor, Santa Fe Institute | AI concepts and complexity |
| Lex Fridman | Podcaster and researcher | Long-form AI interviews |
| Dwarkesh Patel | Podcaster | AI and technology interviews |
| Nathan Lambert | Independent researcher; Interconnects newsletter | Open models, RLHF |
| Hugo Larochelle | Scientific Director, Mila; Université de Montréal | Machine learning research |
| Sarah Guo | Founder, Conviction | AI investing |
| Elad Gil | Investor and author | AI markets and startups |
| Marc Andreessen | Co-founder, a16z | Techno-optimism, AI investing |
| Vinod Khosla | Founder, Khosla Ventures | AI in health and enterprise |
| Reid Hoffman | Co-founder, LinkedIn; Inflection co-founder | AI platforms and networks |
| Satya Nadella | CEO, Microsoft | Enterprise AI platforms |
| Sundar Pichai | CEO, Google / Alphabet | Google AI products |
| Arvind Krishna | CEO, IBM | Enterprise and hybrid-cloud AI |
| Cristiano Amon | CEO, Qualcomm | On-device AI |
| Jensen Huang | Founder & CEO, NVIDIA | AI compute, accelerated infrastructure |
| Ilya Sutskever | Co-founder & CEO, Safe Superintelligence (SSI) | Frontier research, superintelligence safety |
| Aravind Srinivas | Co-founder & CEO, Perplexity | AI search and answer engines |
| Clément Delangue | Co-founder & CEO, Hugging Face | Open-weight models, open-source AI |
| Jeff Dean | Co-founder, Discovery Loop | AI for scientific discovery, large-scale systems |
What changed since the original list
Three shifts stand out. First, agent builders — framework authors and AI engineers — now sit alongside lab leaders; the person whose library your agent runs on has more daily influence than most keynotes. Second, AI economists and safety researchers moved into the mainstream list as deployment questions became board questions. Third, the "influencer" label itself matters less: in 2027 the most valuable follows publish working code, evals and post-mortems, not hot takes.
Think we missed someone obvious? Nominate them — this list is reviewed quarterly, and our Innovators directory profiles builders and CX/AI leaders in more depth.
Frequently asked questions
How was this list of AI influencers compiled?
We judged influence three ways: setting the research agenda, shipping products that millions of people use, or publishing analysis that reliably helps others decide. Follower counts alone did not qualify anyone. The 55 entries are unranked and grouped into researchers, builders and founders, and voices worth following — so a framework author can sit alongside a lab director without implying one outranks the other.
What changed in the 2027 edition?
Five names joined, including Jensen Huang, Ilya Sutskever and Perplexity's Aravind Srinivas, and several long-standing entries changed jobs: Yann LeCun left Meta to co-found AMI Labs, Demis Hassabis became Chair of Google DeepMind and Chief Scientist of Alphabet, and Andrej Karpathy joined Anthropic's pretraining team. Agent builders and AI economists also moved up as deployment questions became board-level questions.
How often is the list updated?
The list is reviewed every quarter. Entries are re-checked against current sources — roles, employers and what each person has actually shipped or published recently — and people are added or removed as the field moves. If you think someone obvious is missing, you can nominate them; nominations feed directly into the next quarterly review.
Where does AI influence sit now — universities or industry?
Overwhelmingly inside companies. Stanford HAI's AI Index 2026 counted 2025's notable AI models and found more than 90% came from industry rather than universities. Generative AI also reached 53% population-level adoption within three years — faster than the PC or the internet — which is why this list weights the researchers, founders and executives inside labs and companies so heavily.
Sources
- Advanced Machine Intelligence Labs — Wikipedia, 2026
- Reuters interview with Yann LeCun on leaving Meta / AMI Labs — The Catalyst, 2026
- Demis Hassabis no longer DeepMind CEO to focus on AGI role — 9to5Google, 2026
- Demis Hassabis: DeepMind Chair, Isomorphic Labs CEO — Brocker, 2026
- Andrej Karpathy joins Anthropic's pretraining team — StartupHub.ai, 2026
- Hugo Larochelle appointed Scientific Director of Mila — Mila / CNW, 2025
- Farewell, Ai2 — Nathan Lambert, Interconnects, 2026
- LawZero — Wikipedia, 2025
- Yoshua Bengio — Wikipedia, 2026
- Cisco invests in World Labs — Cisco Newsroom, 2025
- 01.AI pivots from frontier model training to enterprise deployments — WebProNews, 2025
- Kai-Fu Lee on 01.AI's pivot and IPO plans (Bloomberg interview) — AI Weekly, 2025
- Microsoft forms MAI Superintelligence Team under Mustafa Suleyman — Tech Xplore, 2025
- Allie K. Miller — speaker profile (CEO, Open Machine) — Aurum Bureau, 2026
- Allie Miller — Preview Academy profile — 2026
- Cassie Kozyrkov — CEO of Kozyr — BusinessABC, 2026
- Cassie Kozyrkov — speaker profile — SpeakersInc, 2026
- Timnit Gebru — BusinessABC, 2026
- AI Is Growing Up: What World Summit AI 2026 Revealed About The Future Of Business — Bernard Marr, LinkedIn, 2026
- Stanford's Brynjolfsson sees AI boosting US productivity — The Decoder, 2026
- LangChain announces a $125 million Series B — Dataphoenix, 2025
- Safe Superintelligence Inc. and NVIDIA announce long-term strategic partnership — GlobeNewswire, 2026
- Stanford's AI Index 2026: breakthroughs, gaps — ExplainX, 2026
- Safe Superintelligence Inc. — Wikipedia, 2026
- BREAKING: Aravind Srinivas, Perplexity — Sourcery, 2026
- Aravind Srinivas: Perplexity CEO Taking On Google — TECHi, 2026
- Who Is Clement Delangue? Hugging Face CEO — TECHi, 2026
- Hugging Face CEO argues 'too dangerous' labels serve as marketing (Bloomberg TV) — The Agent Times, 2026
- AI Index 2026 coverage: industry share of notable models — Spacewar / Stanford HAI, 2026
- Inside the AI Index: 12 Takeaways from the 2026 Report — Stanford HAI, 2026
- Stanford AI Index 2026: Cash In, Transparency Out — AwesomeAgents.ai, 2026