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Updated July 12, 2026
LinkedIn is most useful for following AI when you want professional context around research, products, company strategy, and how teams are applying new tools at work. We separate individuals from companies because they serve different purposes. Individual accounts add judgment and experience; company accounts are better for first-party product, research, and hiring updates.

Best AI LinkedIn Accounts to Follow

Satya Nadella

Microsoft’s AI strategy and impact
12M followersMicrosoft chairman and CEO
Satya Nadella uses LinkedIn to present Microsoft’s AI strategy through major product, infrastructure, research, customer, and public-interest announcements.The account is a primary executive source for Microsoft’s direction and the partnerships behind it. Its scale and corporate scope make it useful for strategy, not for independent product evaluation.
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Andrew Ng

Practical AI education and adoption
3M followersAI educator and entrepreneur
Andrew Ng combines the perspective of a machine-learning researcher, educator, and company builder, using LinkedIn to share courses, applied projects, and views on how AI changes work.The account is strongest for grounded educational opportunities and adoption lessons rather than launch-by-launch commentary. His own companies and courses appear frequently, but the posts usually explain the underlying skill or market change clearly.
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Yann LeCun

Open research and alternatives to LLM scaling
1M followersAI researcher and professor
Yann LeCun publishes research, commentary, and debate about world models, self-supervised learning, open AI, and the limits of scaling current language-model approaches.The account is high-signal precisely because it offers a technically informed counterposition to dominant frontier-lab narratives. The volume and argumentative style require separating research evidence from opinion, but the perspective is essential.
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Kai-Fu Lee

Global AI strategy
889K followersAI investor and computer scientist
Kai-Fu Lee brings a cross-border research, company-building, and investment perspective to questions about AI development in China, the United States, and other national ecosystems.The account is most valuable for strategic comparisons that are underrepresented in US-centric feeds. Posting is relatively sparse, but the perspective is distinct and usually tied to larger talks or arguments.
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Aravind Srinivas

AI search and product building
866K followersPerplexity co-founder and CEO
Aravind Srinivas uses LinkedIn as a founder-operator account for Perplexity, mixing product updates with observations about AI search, agents, and how knowledge work may change.Follow him for first-hand Perplexity direction and the product reasoning behind launches. The account is naturally promotional and optimistic, so broader market or labor claims need independent evidence.
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Ruben Hassid

Practical Claude and prompting education
811.7K followersAI creator and entrepreneur
Ruben Hassid publishes frequent, approachable guides for using Claude and other AI products, often packaging techniques into reusable prompts and learning resources.The account is useful for nontechnical users who want concrete examples and a clear starting point. Its high cadence and strong hooks make it a discovery feed; more complex claims should be tested before becoming a standard workflow.
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Jensen Huang

AI computing infrastructure
757K followersNVIDIA founder and CEO
Jensen Huang’s LinkedIn account presents NVIDIA’s view of AI as a new computing and industrial infrastructure layer, spanning chips, systems, software, and robotics.The account is useful for tracking NVIDIA’s strategic narrative and major ecosystem announcements from its CEO. It is not an independent guide to infrastructure economics or competitive performance.
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Dr. Joerg Storm

AI adoption for business professionals
705.3K followersAI business creator and newsletter author
Dr. Joerg Storm publishes high-frequency business-facing AI commentary and the DIGITAL STORM weekly newsletter, translating product changes into workplace and management implications.The account is useful for managers who want AI developments framed as operational changes rather than technical research. The large, frequent output and strong hooks create repetition, so prioritize the deeper weekly articles over every short post.
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Cassie Kozyrkov

Better decisions about AI
698K followersDecision intelligence leader and educator
Cassie Kozyrkov explains AI through the lens of decision quality, helping leaders separate what a model can produce from the judgment required to use it well.Her account is valuable because it challenges sloppy reasoning around AI adoption instead of only reviewing tools. The strongest posts provide frameworks that remain useful after a specific model or feature changes.
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Mustafa Suleyman

Consumer AI and organizational strategy
534K followersMicrosoft AI CEO
Mustafa Suleyman shares executive-level views from Microsoft AI about building consumer AI products, organizing high-talent teams, and pursuing advanced systems responsibly.The account is useful for understanding the priorities and culture of Microsoft’s dedicated AI organization. It is selective and aspirational, with less operational or technical detail than practitioner feeds.
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Ethan Mollick

Evidence-based AI use at work and school
398K followersWharton professor and AI researcher
Ethan Mollick translates research and sustained model experimentation into practical observations about work, education, management, and how people adapt to AI.This is one of the highest-signal individual LinkedIn feeds because claims are often tied to a paper, experiment, or clearly described test. The volume is high, but the posts add interpretation rather than merely repeating announcements.
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Clem Delangue

Open AI ecosystem strategy
305K followersHugging Face co-founder and CEO
Clem Delangue shares a founder’s view of the open AI ecosystem, including Hugging Face platform growth, local model adoption, hardware partnerships, and open-source policy.This is one of the more useful executive accounts for tracking open-model infrastructure and adoption signals. Company milestones appear frequently, but the posts often surface concrete ecosystem data that is difficult to find elsewhere.
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Demis Hassabis

AI research and scientific impact
293K followersGoogle DeepMind co-founder and CEO
Demis Hassabis uses LinkedIn to connect Google DeepMind’s model work with its larger scientific agenda, including biology, health, and international research partnerships.The account is strongest for first-hand statements about DeepMind’s research direction and scientific ambitions. Posts are selective and executive-level, so technical details usually live in the linked research.
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Fei-Fei Li

Human-centered and spatial AI
127K followersAI researcher and Stanford professor
Fei-Fei Li shares research and company work around spatial intelligence and world models while maintaining a consistent human-centered view of AI’s purpose.The account is especially useful for following the shift beyond language toward visual and spatial intelligence from a leading researcher. Posts are selective and often point to substantive papers or demonstrations.
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OpenAI

OpenAI company and product updates
10.87M followersOfficial OpenAI account
OpenAI’s LinkedIn feed is a broad first-party stream for model and product releases, research, infrastructure, partnerships, and corporate milestones.This is essential for confirming OpenAI announcements and seeing how the company frames new products. It is also the largest company account in the set, which makes raw follower ordering a poor substitute for editorial relevance.
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Anthropic

Anthropic company and product updates
3.25M followersOfficial Anthropic account
Anthropic’s LinkedIn account is a first-party stream for Claude releases, research, safety positions, partnerships, hiring, and company news.This is a direct source for material developments at Anthropic and often adds useful business context beyond a release note. It should not be used alone for model comparisons or policy questions where the company has a clear stake.
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Perplexity

AI search and agent products
1.63M followersOfficial Perplexity account
Perplexity’s LinkedIn feed publishes rapid first-party product updates across search, research, browser, and agent functionality.The account is useful for staying current with a product that changes quickly and integrates many outside models. Repeated launch posts can exaggerate novelty, so evaluate whether a feature changes the actual research workflow.
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Google DeepMind

Frontier AI research and products
1.56M followersOfficial Google DeepMind account
Google DeepMind’s LinkedIn account combines model and product announcements with research on science, agents, robotics, and responsible AI.The feed is valuable as a primary source for one of the most consequential AI labs and gives research applications more space than most company accounts. It still presents the lab’s own framing, particularly around capability and safety.
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Hugging Face

Open AI infrastructure
1.24M followersOfficial Hugging Face account
Hugging Face’s LinkedIn account publishes platform and ecosystem updates across models, datasets, hardware, open science, and community growth.This is a useful source for concrete open-AI ecosystem milestones and product changes. The account covers a very broad platform, so technical users will often need the linked repository or documentation for actionable detail.
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Mistral AI

Mistral models and enterprise AI
643.1K followersOfficial Mistral AI account
Mistral AI’s LinkedIn feed combines first-party model and product news with partnerships, acquisitions, events, and the company’s role in the European AI ecosystem.This is a useful source for understanding Mistral as both a model developer and enterprise platform company. Product and corporate news are mixed together, so technical readers should follow the linked documentation.
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LangChain

Production AI agents
518.5K followersOfficial LangChain account
LangChain’s LinkedIn feed covers the practical lifecycle of building, testing, deploying, and monitoring agents across its product ecosystem.The account is useful for a steady stream of concrete agent-engineering patterns and implementation examples. It is vendor-specific and high-volume, so distinguish durable architecture lessons from product promotion.
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ElevenLabs

Generative voice and media products
316.8K followersOfficial ElevenLabs account
ElevenLabs’ LinkedIn feed tracks its rapidly expanding voice, audio, agent, and avatar products through releases and deployment stories.The account is a useful first-party product feed in a fast-moving media category and often shows concrete use cases. It is less useful for comparing voice quality, rights, or pricing across providers.
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LlamaIndex

Data and document systems for AI agents
281.6K followersOfficial LlamaIndex account
LlamaIndex uses LinkedIn to publish product releases, benchmark examples, integrations, and implementation patterns for data-backed AI applications.The feed is useful for developers working on document and retrieval-heavy agent systems, especially when posts include a benchmark or integration detail. Company events and promotion add noise to the otherwise technical stream.
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DeepSeek AI

DeepSeek model releases
191.4K followersOfficial DeepSeek account
DeepSeek’s LinkedIn presence is a sparse first-party stream for model releases and technical announcements from the Chinese AI lab.Use the account to confirm official releases, then rely on technical reports, repositories, and independent evaluations to understand the models.
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Cognition

Devin and coding agents
76.1K followersOfficial Cognition account
Cognition’s LinkedIn feed documents Devin product development, coding-agent evaluations, customer deployments, and changes in software-engineering work.The account is a useful first-party source for new Devin capabilities and real deployment examples. Benchmark and productivity claims are central to the company narrative and need independent interpretation.
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How to choose

Choose a small mix rather than following every large account. Start with one researcher or educator, one operator or executive, and the companies whose products you actually use. Treat company posts as primary announcements, not independent analysis.

Other LinkedIn Accounts to Consider