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AI is automating processes, sparking innovation, and will soon lead industries. Considering the exponential rise of artificial intelligence, it is crucial to stay updated on the latest AI developments. Following AI influencers on social media can provide you with the insights and guidance you need.
This way, you will never miss an update and stay informed about everything from detection algorithms to the rise of CNN (convolutional neural networks) for image processing, artificial general intelligence, and advancements in facial recognition technologies. If you’re unsure which AI influencers to follow, we’ve compiled a list of the top 6 AI influencers who are thought leaders in the field. Learn about them here and follow them to stay tuned for cutting-edge AI innovations!
Six AI Influencers To Follow In 2025
Here is a list of the top 6 AI influencers you should follow in 2025:
Andrew Ng
Starting strong, Andrew Yan-Tak Ng is the most influential person in computer vision and the data-driven landscape. He is an adjunct professor at Stanford University, a computer scientist, and an entrepreneur contributing to AI’s ethical advancements. With over 200 research papers in machine learning, data analytics, and robotics, he is the founder of DeepLearning.AI, CEO of Landing AI, General partner of AI Fund, Co-founder of Coursera, and former head of Baidu AI. Andrew provides access to Coursera to democratize education worldwide without financial barriers. He made it to The 100 list of the most influential people with 1,364,093 followers on LinkedIn and 919.6 K on Twitter. Andrew is active on social media, so follow him to stay updated on data-related topics.
Kai-Fu Lee
Kai-Fu Lee is a prominent figure in AI, especially in implementing and advancing AI technologies. He was the president of Google China and a senior executive at Apple, Microsoft, and SGI. Currently, Lee is the CEO of 01.AI. He has made significant contributions to speech recognition and NLP (natural language processing), pivotal in developing the first continuous speech recognition system for Mandarin. His involvement in AI systems facilitating human-computer interaction led him to create Sinovation Ventures, a venture capital firm investing in AI startups. Time Magazine named him one of the most influential people in the world in 2013. Lee authored the New York Times and Wall Street Journal bestseller AI Superpowers, focusing on China and the US in AI and its societal impact.
Ian Goodfellow
Ian Goodfellow is an expert in artificial intelligence, computer vision, and machine learning. In 2014, he founded generative adversarial networks (GANs), impacting the world of AI by enabling the creation of realistic images, videos, video games, and medical imaging. His approach of putting two neural networks, a discriminator and a generator, against each other significantly improved image quality and paved the way for artificial image creation. Goodfellow’s influence extends to Google Brain and Apple, where he focused on developing AI-powered tools. His academic work includes writing the book Deep Learning and contributing to Artificial Intelligence: A Modern Approach. Goodfellow also works as a research scientist.
Yann LeCun
Yann LeCun is a renowned leader in computational neuroscience, machine learning, mobile robotics, and computer vision. Considered the founding father of CNN (convolutional neural networks), LeCun received a Turing award for his contributions, especially through CNN. CNN is pivotal in computer vision, processing data with grid-like topologies. LeCun’s use of CNN for image recognition allowed computers to classify images easily, impacting industries like medical imaging and self-driving cars. He also developed DjVu, an advanced image compression technology, and serves as the chief AI scientist at Meta, leading research and AI development.
Dr. Fei-Fei Li
Dr. Fei-Fei Li is a leading expert in AI, focusing on machine learning, NLP, and computer vision. As a professor at Stanford University, she co-directs Stanford’s AI Institute and the Stanford Vision and Learning Lab. Dr. Li co-founded and led the imageNet project, transforming image recognition and deep learning through a vast labeled image dataset. Her nonprofit organization, AI4LL, aims to educate and inspire future AI researchers and leaders globally.
Timnit Gebru
Timnit Gebru is a computer scientist advocating for DE&I (diversity, equity, and inclusion) in AI. As the co-founder and president of Black in AI, she works to increase the inclusion of black researchers in AI. Gebru also founded the Distributed AI Research Institute, conducting AI research for social good and ethical concerns. Time Magazine recognized her as one of the 100 most influential people globally for her advocacy and research on AI ethics and transparency.
Conclusion
AI is a technology that is here to stay, reshaping industries like finance and healthcare. Following top AI influencers like Andrew Ng, Kai-Fu Lee, Ian Goodfellow, Yann LeCun, and Timnit Gebru provides insights into the future of AI, its societal impact, current advancements, and the evolving tech industry landscape. These experts push the boundaries of artificial intelligence, solving complex problems and paving the way for a future full of possibilities.
