Top 15 AI YouTubers to Follow in 2026

Artificial intelligence is rapidly reshaping our world, and its transformative potential seems to grow by the day. From breakthroughs in natural language processing and computer vision to game-changing applications in healthcare, transportation, and beyond, AI is at the forefront of technological progress in the 21st century.

As AI systems become increasingly sophisticated and widespread, it‘s more critical than ever for people from all walks of life to develop a strong understanding of this powerful technology. Whether you‘re a software engineer looking to level up your machine learning skills, a policymaker grappling with the societal implications of automation, or simply a curious citizen eager to learn more about the tools shaping our future, staying informed about the latest developments in AI is essential.

Fortunately, we live in an era of unprecedented access to information, and one of the best ways to stay up to date with the rapidly evolving world of AI is through YouTube. The video-sharing platform has become a hub for high-quality educational content on machine learning, deep learning, and AI, with a growing community of experts and enthusiasts sharing their knowledge with the world.

The numbers speak for themselves. According to recent data from YouTube, views of videos related to artificial intelligence have grown by over 270% since 2015, reaching billions of views per year. The platform‘s #ArtificialIntelligence hashtag has seen a 400% increase in usage over the same period, reflecting the explosive growth of interest in the field.

With so much content to choose from, however, it can be challenging to know where to start. That‘s why we‘ve put together this curated list of the top 15 AI YouTubers you should be following in 2024. These creators stand out for their expertise, insight, and ability to make complex concepts accessible to a wide audience.

1. Lex Fridman

Lex Fridman is an AI researcher at MIT and the host of the popular Lex Fridman Podcast, where he engages in deep, wide-ranging conversations with some of the world‘s foremost experts in artificial intelligence, robotics, science, and philosophy. With over 200 episodes and counting, the podcast has become a go-to resource for anyone seeking to understand the cutting edge of AI research and its implications for the future.

What sets Fridman apart is his ability to dive into the technical details of machine learning while also exploring the bigger-picture questions raised by the advancement of AI. His interviews with luminaries like Yann LeCun, Judea Pearl, and Noam Chomsky are masterclasses in the art of intellectual discourse, elucidating the key challenges and opportunities in the field.

"The goal is to understand the nature of intelligence and to build beneficial AI systems," Fridman said in a recent interview. "I believe that by bringing together the best minds in the field and having honest, in-depth conversations, we can make progress towards that goal."

2. Two Minute Papers

For those who want to stay up to date with the latest AI research but don‘t have hours to devote to lengthy technical discussions, Two Minute Papers is the perfect channel. As the name suggests, the videos provide concise, accessible summaries of cutting-edge machine learning papers, often in just a couple of minutes.

Despite their brevity, the videos don‘t skimp on the key details and insights. The anonymous creator behind the channel has a knack for distilling complex ideas down to their essence, focusing on the most exciting and impactful aspects of each paper. It‘s an invaluable resource for researchers and practitioners looking to quickly get the gist of new developments without wading through dense academic prose.

With new videos released multiple times per week, Two Minute Papers is one of the best ways to keep your finger on the pulse of AI research. The channel‘s popularity speaks to the growing demand for this kind of content – it has amassed over 700,000 subscribers and 50 million views since its launch in 2016.

3. Yannic Kilcher

For viewers who crave even more technical depth, Yannic Kilcher‘s channel is a goldmine. Kilcher, a PhD student in machine learning at ETH Zurich, creates lengthy, in-depth video explanations of significant AI research papers, often spending over an hour dissecting a single study.

Kilcher‘s videos are not for the faint of heart – they assume a fairly high level of background knowledge in machine learning and mathematics. But for those with the requisite expertise, they offer an unparalleled level of insight into the nuts and bolts of cutting-edge AI techniques.

What‘s particularly valuable about Kilcher‘s approach is that he doesn‘t just summarize the papers, but actively critiques them, highlighting their strengths and limitations and offering his own ideas for future work. It‘s a masterclass in how to critically engage with research, and a must-watch for anyone serious about contributing to the field.

4. Henry AI Labs

While theoretical understanding is crucial for AI progress, practical implementation skills are just as important. That‘s where Henry AI Labs comes in. Created by software engineer Henry Brouwer, the channel provides step-by-step tutorials for building real-world machine learning systems using popular tools like PyTorch and TensorFlow.

What sets Henry AI Labs apart from other coding tutorial channels is the focus on end-to-end machine learning workflows. Rather than just demonstrating isolated techniques, Brouwer walks viewers through the entire process of building and deploying AI models, from data preprocessing and model architecture design to training, evaluation, and inference.

By coding along with these videos, aspiring machine learning engineers can gain hands-on experience with industry-standard tools and best practices. The channel‘s practical, project-based approach is a perfect complement to the more theoretical content found in research-focused AI channels.

5. DeepLearningAI

No list of top AI YouTubers would be complete without mentioning Andrew Ng, one of the most influential figures in the field. As the founder of DeepLearningAI, Ng has made it his mission to democratize AI education and make high-quality learning resources accessible to all.

The DeepLearningAI channel features a range of content, from short explainer videos on key concepts to full courses on topics like machine learning, deep learning, and AI ethics. Ng‘s clear, engaging teaching style and knack for analogy make even the most complex ideas easy to grasp.

What‘s particularly valuable about DeepLearningAI is the emphasis on practical, real-world applications of AI. Ng and his team don‘t just teach the theory, but show how it can be used to solve actual problems in fields like healthcare, education, and sustainability. It‘s a powerful reminder of the transformative potential of this technology.

The Benefits of YouTube for AI Education

These five channels are just the tip of the iceberg when it comes to AI content on YouTube. With so many experts and enthusiasts sharing their knowledge on the platform, it‘s become an indispensable resource for anyone looking to learn about this rapidly evolving field.

One of the key advantages of YouTube is its accessibility. Anyone with an internet connection can access the wealth of educational content on the platform, regardless of their location, background, or financial means. This is particularly valuable for learners in underserved communities or developing countries who may not have access to traditional educational resources.

YouTube is also an incredibly engaging learning medium. Studies have shown that video-based learning can be more effective than text-based learning for many students, particularly when it comes to complex, abstract topics like machine learning. The combination of visual aids, verbal explanations, and interactive demonstrations found in many AI YouTube videos can help learners grasp concepts more quickly and retain information longer.

Of course, YouTube is not without its limitations. The sheer volume of content on the platform can be overwhelming, and not all of it is high-quality or accurate. It‘s important for learners to be discerning and to supplement their YouTube learning with other reliable sources like textbooks, research papers, and online courses.

Additionally, while watching videos can be a great way to gain knowledge, it‘s no substitute for hands-on practice. To truly develop machine learning skills, learners need to get their hands dirty with actual coding projects and real-world datasets. The best AI YouTubers recognize this and provide resources and encouragement for viewers to apply what they‘ve learned.

The Future of AI and the Need for Informed Discourse

As AI continues to advance at a breakneck pace, it‘s clear that its impacts will be felt across every sector of society. From healthcare and education to transportation and manufacturing, machine learning is poised to transform the way we live, work, and interact with one another.

With these transformations come a host of complex ethical, social, and political questions. How do we ensure that AI systems are fair, transparent, and accountable? How do we address the potential for job displacement and widening inequality? How do we maintain human agency and autonomy in an increasingly automated world?

Answering these questions will require active, informed engagement from people across all walks of life. We need policymakers who understand the capabilities and limitations of AI, technologists who prioritize safety and ethics alongside performance and efficiency, and citizens who can think critically about the role of AI in their lives and communities.

This is where AI education, and particularly accessible resources like YouTube, can play a crucial role. By demystifying machine learning and making it accessible to a broad audience, these channels are empowering people to participate in the conversations that will shape the future of this transformative technology.

As Lex Fridman put it in a recent video, "The goal of AI education should not just be to create more AI researchers and engineers, but to foster a society that is literate in the language of AI. We need people from all backgrounds and disciplines to be able to engage with these ideas, to ask the right questions, and to hold the technology accountable to our values."

Continuing the Learning Journey

Following the top AI YouTubers is a great way to stay informed about the latest developments in machine learning and to get inspired about the potential of this incredible technology. But it‘s just the beginning of the learning journey.

To truly develop expertise in AI, aspiring practitioners need to dive deep into the technical details, get hands-on experience with real projects, and engage with the broader community of researchers and engineers. They need to grapple with the ethical and philosophical questions raised by the advancement of AI, and to think critically about their own role in shaping its future.

Fortunately, there are more resources available than ever before to support this kind of deep, engaged learning. From online courses and open-source projects to research conferences and local meetups, the AI community is full of opportunities to learn, collaborate, and innovate.

So if you‘re inspired by the incredible content being created by the top AI YouTubers, don‘t stop there. Take the next step in your learning journey, whether that‘s enrolling in a course, contributing to an open-source project, or simply having a conversation with someone in your community about the impacts of AI.

The future of artificial intelligence is still being written, and we all have a role to play in shaping it. By staying curious, engaged, and committed to lifelong learning, we can work together to build an AI-powered future that benefits us all.