LinkedIn’s AI Vanguard: Who’s Shaping the Conversation in 2025

LinkedIn in 2025 has become a de facto public square for AI, not just for product launches but for argument, recruitment, and policy nudges. A small group of high-profile researchers, founders and investors dominate the conversation, combining deep technical credibility with relentless content output, practical guides and policy commentary. Below are the central figures, worth keep a looking at.

Who’s dominating LinkedIn

Andrew Ng: educator, entrepreneur and developer-first evangelist

Why he matters: Founder of DeepLearning.AI and Landing AI, Ng blends short practical how-tos, course launches and industry playbooks that get reshared across enterprise AI teams. His posts and newsletters about practical AI deployment regularly trend on LinkedIn.

Yann LeCun: researcher, Meta’s Chief AI Scientist and contrarian voice

Why he matters: A Turing Award winner and one of the field’s canonical researchers, LeCun uses LinkedIn to debate fundamentals (e.g., reasoning vs. scale), to call out hype, and to push technical perspectives that influence engineering leaders and academics alike. Those posts spark long, high-quality discussions.

Fei-Fei Li: computer vision pioneer and human-centered AI advocate

Why she matters: Beyond her technical legacy (ImageNet), Fei-Fei posts on people-centric AI, ethics and education; her mix of storytelling, research perspective and non-profit work (AI4ALL) draws attention from both policy and talent communities.

Demis Hassabis: DeepMind cofounder and product-to-science translator

Why he matters: When DeepMind releases results (AlphaFold, advances in agents), Hassabis’ posts set the frame for downstream applications in pharma, materials and robotics. His updates on milestones and research directions get heavy pickup on LinkedIn.

Andrej Karpathy: engineer-turned-communicator (self-driven posts & tutorials)

Why he matters: Known for clear technical explainers on vision, scaling, and alignment of ML systems, Karpathy’s practical threads and demos are frequently used by engineers and hiring managers when evaluating talent and technical plans.

Kai-Fu Lee: investor, China-AI bridge and public commentator

Why he matters: Lee mixes business foresight with cultural and regulatory context; his LinkedIn (and cross-platform) commentary influences investors, founders and policymakers interested in Asia–US AI dynamics.

Sam Altman: OpenAI leader and public policy lightning rod

Why he matters: As CEO of one of the most consequential AI orgs, Altman’s statements (and the company’s product updates) become LinkedIn headlines — shaping hiring, enterprise adoption, and debates about governance. Even indirect citations of his remarks circulate widely.

Themes that Drive Their Reach

• Practical playbooks & tutorials (Andrew Ng, Karpathy) — These get traction because they’re actionable for teams and recruiters.
• Research milestones & demos (LeCun, Hassabis, Fei-Fei Li) — High signal for product and academic audiences; their posts are often the fastest path from paper to industry conversation.
• Big-picture policy & ethics (Fei-Fei Li, Kai-Fu Lee, Sam Altman) — These voices shape regulatory and boardroom conversations, often provoking follow-on commentary from enterprise leaders.