LinkedIn is no longer just a platform for job hunting. It has become a place where professionals discuss artificial intelligence, machine learning, generative AI, data science, automation, and robotics. However, finding the right AI groups can be surprisingly difficult.
Some groups are dedicated almost entirely to artificial intelligence and machine learning. Others combine AI with data science, software, startups, investing, cybersecurity, cloud computing, or business. To make the search easier, we reviewed a research list of 20 AI-related LinkedIn groups and organized them into four practical categories.
The goal isn't simply to find the biggest group. A better question is: which AI group on LinkedIn is most relevant to what you want to learn, discuss, or achieve?
Quick Answer: What Are the Best AI Groups on LinkedIn?
If you want a quick starting point, the research list includes large communities such as:
- Artificial Intelligence, Machine Learning, Data Science & Robotics
- Artificial Intelligence, Deep Learning, Machine Learning
- Machine Learning Community
- AI Mindshare
- Several Generative AI and data-science-focused communities
However, group size should not be the only consideration. A group with millions of members may provide broad exposure, while a smaller specialist community may be more relevant if you are looking for discussions around Python, LLMs, or a particular professional use case.
What Are AI Groups on LinkedIn?
AI groups on LinkedIn are professional communities where members can discuss AI, ML, GenAI, data science, and automation. Depending on the group, members may include AI engineers, data scientists, software developers, entrepreneurs, investors, and technology executives.
Broad AI and Machine Learning Communities
1. Artificial Intelligence, Machine Learning, Data Science & Robotics
This is one of the largest communities in the supplied list and combines several closely related technology areas. Its broad scope makes it potentially useful for professionals who want exposure to multiple areas rather than focusing exclusively on one AI discipline.
Best suited for: AI professionals, ML practitioners, data scientists, and robotics enthusiasts.
2. Software/Technology: AI, Marketing, Social Media, Startups, Blockchain, HR & Metaverse
This community takes a broader technology approach, placing AI alongside subjects including marketing, social media, startups, blockchain, human resources, and the metaverse.
Best suited for: Technology professionals, entrepreneurs, marketers, and professionals interested in the intersection between AI and business.
3. Artificial Intelligence, Deep Learning, Machine Learning
This group focuses more directly on the technical AI ecosystem. For professionals who want a community centered around core AI and ML concepts, this is a prime option.
Best suited for: Machine learning engineers, AI practitioners, developers, and AI learners.
4. Machine Learning Community
A moderated community covering machine-learning techniques, AI research, and real-world applications. The moderation angle is worth noting because community structure significantly influences discussion quality.
Best suited for: Machine learning professionals, researchers, and practitioners interested in technical and applied ML.
5. Next Big Thing Club
Combines artificial intelligence with a much wider executive and business audience. Rather than treating AI purely as a technical subject, it explores how emerging technology affects business and leadership.
Best suited for: Founders, executives, investors, and business professionals exploring AI.
6. Technology Investor Club
Brings together technology-investment topics with areas such as AI, data science, fintech, IoT, robotics, and cloud AI.
Best suited for: Investors, founders, technology executives, and professionals following emerging tech markets.
7. Tech Startup CEOs & Investors
Focuses on startups, founders, and investors while incorporating technologies such as AI, machine learning, FinTech, SaaS, and ChatGPT.
Best suited for: Startup founders, CEOs, investors, and technology professionals.
8. AI Mindshare
Combines artificial intelligence and machine learning with subjects such as data science, generative AI, and business analysis.
Best suited for: AI professionals, business analysts, data professionals, and people following the broader ecosystem.
Generative AI & LLM Communities
9. AI Accelerator Institute Community
Covers areas such as generative models, multimodal systems, agentic AI, and large language models. Always check the current LinkedIn group page before relying on membership figures.
Best suited for: GenAI professionals, AI enthusiasts, AI leaders, and people following emerging AI architectures.
10. Artificial Intelligence Innovators, AI, ChatGPT, Gemini, Bing, Copilot & ML Innovation Network
Has a broad generative-AI orientation and references tools and platforms including ChatGPT, Gemini, and Copilot alongside machine learning.
Best suited for: GenAI users, AI professionals, developers, and technology enthusiasts.
11. IT Professionals | Agile Lean Scrum | DevOps | Cloud | SaaS | Security | Big Data | GenAI
AI is only one part of this community. The group combines GenAI with broader IT subjects, making it useful for technology professionals who want to understand AI alongside the wider IT environment.
Best suited for: IT professionals, DevOps teams, software professionals, and technology managers.
12. Artificial Intelligence Pivot
Its focus includes AI, LLMs, robotics, machine learning, NLP, computer vision, and IoT, making it one of the more technically diverse communities on the list.
Best suited for: AI practitioners, developers, robotics professionals, and people exploring multiple AI disciplines.
AI & Data Science Communities
13. Agentic AI Engineering: Building AI Agents with LLMs, Python, MCP & Automation
Agentic AI, AI Agents, LLMs, Python, MCP, Automation, AI Engineering, Multi-Agent Systems the community for engineers and developers building the next generation of autonomous AI systems.
Best suited for: AI Engineering, Backend Developers, ML Engineers, and Technical Founders.
14. Big Data | Data Science | Machine Learning | Deep Learning | Artificial Intelligence
Subject coverage is clearly centered on the connection between data science and AI.
Best suited for: Data scientists, ML practitioners, AI learners, and analytics professionals.
15. KDnuggets AI, Big Data, Data Science, Machine Learning Group
Associated with KDnuggets and described as highly moderated, covering foundational AI and big data topics.
Best suited for: Data professionals, machine learning practitioners, and analytics enthusiasts.
16. Data Science, Machine Learning, Artificial Intelligence, IoT, Blockchain, BI & Big Data Analytics
A multidisciplinary community combining AI and machine learning with business intelligence, analytics, IoT, and blockchain.
Best suited for: Data professionals and tech professionals working across analytics and emerging technologies.
17. Data Science, Big Data, ML, Artificial Intelligence Professionals | DataScience.US
Has a professional data-science orientation.
Best suited for: Data scientists, analysts, and AI/ML professionals.
Niche AI Groups
18. Artificial Intelligence | Deep Learning | Machine Learning
Separate from the much larger AI group listed earlier, highlighting that similarly named communities can have different group IDs and sizes.
Best suited for: AI and machine-learning learners and practitioners.
19. AI & Python, Data Science, Artificial Intelligence, Machine Learning, Big Data Analytics
Features a specific technical angle around Python and its relationship with AI, machine learning, and data science.
Best suited for: Python developers, data scientists, ML learners, and technical practitioners.
20. Artificial Intelligence Innovation Coaches
One of the smallest communities in the list, focusing specifically on AI innovation coaching. Useful for exploring a narrower professional topic.
Best suited for: AI coaches, innovation professionals, and people interested in AI adoption and transformation.
How to Choose the Right AI Group on LinkedIn
The biggest LinkedIn group is not automatically the right group for you. Match the community to your objective:
| Your Goal | Look for Groups Focused On |
|---|---|
| Learn AI fundamentals | AI, ML, and Deep Learning |
| Learn Generative AI | GenAI, LLMs, and ChatGPT |
| Explore AI agents | Agentic AI and LLM communities |
| Work with data | Data Science, Big Data, and Analytics |
| Learn Python for AI | Python + AI communities |
| Explore AI startups | AI + Startups |
| Follow AI investments | AI + Investment |
| Connect with IT professionals | IT + GenAI + Cloud + DevOps |
| Explore robotics | AI + Robotics |
| Understand AI business applications | AI + Business and Leadership |
How to Use AI Groups on LinkedIn Effectively
- Don't join every group: Start with two or three relevant groups instead of joining dozens.
- Observe before posting: Spend some time understanding what members discuss, which questions receive responses, and what type of content moderators allow.
- Share useful knowledge: Instead of posting generic AI news, share specific experiences (e.g., "We tested three approaches to automate demand forecasting. Here is what worked...").
- Ask better questions: A detailed question is more likely to generate useful discussion than "What do you think about AI?" Give professionals something specific to discuss.
- Build relationships: If someone consistently contributes useful insights, follow their work, engage with their posts, and consider connecting professionally.
Why AI Groups on LinkedIn Matter for Supply Chain Professionals
AI is increasingly relevant to supply chain functions such as demand forecasting, procurement, inventory optimization, logistics, supplier risk, and customer service.
You don't necessarily need to become an AI engineer. Instead, understanding AI discussions can help supply chain leaders ask better questions about: Data → Models → Automation → Decision-making → Business outcomes.
For example, a supply chain professional can translate technological discussions into actionable questions:
- Can this technology improve demand planning?
- Can it reduce manual procurement work?
- Can it help identify supplier risk?
- Where should human approval remain in the process?
That translation between technology and business processes is where AI becomes especially relevant to supply chain management.
Frequently Asked Questions
What are the best AI Groups on LinkedIn?
The best group depends on your objective. Instead of selecting a group based only on membership size, compare its topic focus, activity, moderation, and relevance to your professional goals.
Are LinkedIn AI groups free to join?
LinkedIn groups can have their own membership requirements and access settings. Check the current LinkedIn group page for the latest joining requirements.
Which LinkedIn groups are best for Generative AI?
The list includes several communities with explicit GenAI coverage, including AI Accelerator Institute, Artificial Intelligence Innovators, the IT Professionals/GenAI community, and Artificial Intelligence Pivot.
Should I join multiple AI groups on LinkedIn?
You can, but joining more groups does not necessarily create more value. A practical approach is to choose a small number of communities that align closely with your interests and participate consistently.
How can I find AI communities relevant to supply chain?
Look beyond groups that use "AI" in their name. Discussions around data science, automation, analytics, software, cloud, and business transformation can all be relevant to supply chain professionals. The key is connecting AI capabilities to supply chain problems such as forecasting, procurement, inventory, and logistics.
