Perspectives
Since it's burst spectacularly onto the scene, AI has reshaped how we interact with technology. In 2025, this trend is only going to accelerate. But just who are the movers and shakers that are driving the most disruptive technology for decades?
Of course, Sam Altman is very much the public face of AI, and he will continue to be a major influence in the technology. However, he is far from being the only force behind the rapid rise of AI. The tech world is full of visionaries who are helping to define the role of AI in society – and of course – the workplace.
In this article, we look at ten AI visionaries who are driving the future of this transformative technology. These leaders are shaping how AI is developed, applied, and understood across industries. Work that will undoubtedly influence the way we live and work for years to come.
The first entry on the list is Andrew Ng. His name has become synonymous with the democratization of AI. As well as being an early AI pioneer when he founded what was to become Google DeepMind, Andrew also has done much to spread the public understanding of AI.
Among other achievements in the field, Ng is the cofounder of Coursera and DeepLearning.AI, as well as being an Adjunct Professor at Stanford University’s Computer Science Department.
Key achievements:
Google Brain: Co-founded Google Brain (later to become Google DeepMind), pioneering large-scale deep learning models.
Coursera: Launched one of the most popular online machine learning courses on Coursera.
Cross-Industry Inclusivity: Advocates for practical AI applications in industries like healthcare and manufacturing.
Andrew’s vision goes beyond the technical aspects of AI. He’s a passionate advocate of ensuring that AI is used ethically and inclusively. In the coming year, we can expect his influence to continue to bridge the gap between AI and its real-world impact. For Microsoft professionals, this is incredibly relevant as understanding the ever-shifting impact of AI is key to maintaining the right skill sets.
Next up is Fei-Fei Li, a visionary known for her innovative and groundbreaking work in computer vision. She is also another “AI visionary” who is committed to ethical AI development and usage. This is evident in her role as the co-director of the Stanford Human-Centered AI Institute, where she has consistently pushed the boundaries of what AI can achieve while ensuring it remains focused on benefiting humanity.
Key achievements include:
ImageNet Project: Fei-Fei Li led the creation of the ImageNet project, a large-scale dataset that revolutionized computer vision and deep learning.
AI for Social Good: She has been a strong advocate for using AI to address societal challenges, emphasizing the importance of ethical AI development.
AI Education: As a professor at Stanford University, she has played a crucial role in educating the next generation of AI researchers and practitioners.
In 2025, her work and commitment to the ethical and inclusive use of AI ensure that she will continue to provide not just technical, but ethical guidance as AI’s influence continues to gather momentum. This dedication to education and pushing technological boundaries make her a key figure to follow for the rest of the year.
Demis Hassabis is a Nobel Laureate, who despite his technology background, his Nobel Prize was awarded for chemistry in 2024. This award shows just how powerful the influence of AI and the visionaries behind it are becoming. The award was given for an AI model called AlphaFold2, a model that has been used to predict the structure of virtually all known proteins.
This work has revolutionized the field of structural biology, but it’s far from being his only contribution to AI research. Other notable achievements include:
DeepMind: He’s the co-founder and CEO of DeepMind. In this role, Hassabis has led the company to numerous AI breakthroughs, including the development of AlphaGo, which defeated the world champion in the complex game of Go.
AI Ethics and Safety: Hassabis has long been an advocate for the ethical development and deployment of AI.
Interdisciplinary Research: His work spans multiple disciplines a point that his Nobel Prize award is a testament to. Other disciplines include integrating AI with neuroscience, cognitive science, and other fields.
It is his visionary approach to AI and its ethical use that make him a key figure to follow in 2025. His work will continue to bridge the gap between AI and other scientific and business fields, helping to ensure that AI will remain allied to the needs of society.
Yoshua Bengio is another trailblazer who as well as driving the technology forward is also a strong advocate for the ethical use of AI. A point highlighted by his 2023 testimony in front of the US Senate, where he emphasized the urgency to act against AI threats to society, democracy, and security.
A Turing Prize winner, he is recognized as a distinguished computer scientist and one of the leading figures in the field of artificial intelligence. As a professor at the University of Montreal and the founder of Mila (Quebec Artificial Intelligence Institute), he has made groundbreaking contributions to deep learning and neural networks.
Notable achievements include:
Deep Learning Research: Bengio's research has significantly advanced the field of deep learning, particularly in the development of algorithms and models that have transformed AI applications.
Generative Models: He has been instrumental in the development of generative models, which are used in various applications, including image and text generation.
AI Ethics: Bengio has always been an advocate for the ethical use of AI, emphasizing the importance of ensuring that AI technologies are developed and deployed responsibly.
As a pioneer in deep learning technology, Yoshua has always worked at the cutting edge of AI. This pioneering approach and his commitment to AI ethics ensure that he is a visionary worth following in 2025.
It’s fair to say that Geoffrey Hinton can be described as the Godfather of deep learning, or at least one of the primary founding figures. Geoffrey is another Nobel Laureate to make the list, for physics this time. The prize can be at least partially attributed to his work at the University of Toronto and Google. Work which is considered some of the most groundbreaking research in neural networks and deep learning.
Among his prominent achievements are:
Backpropagation Algorithm: Hinton co-developed the backpropagation algorithm, which is fundamental to training deep neural networks and has revolutionized AI research.
Capsule Networks: He introduced the concept of capsule networks, aiming to improve the way neural networks understand spatial hierarchies in data.
AI Research and Education: Hinton has been prominent in advancing AI research as well as mentoring the next generation of AI scientists.
Innovative research and pioneering work have defined Hinton’s career to date. In 2025, his contributions will continue to shape the future of AI.
So far, the visionaries on the list have been mostly from academia, or at least that line where business and academia blur. However, from a business perspective, there are plenty of AI visionaries who are driving the increasing integration of AI into business systems. Shahar Chen is one of these.
Among his prominent contributions to the field of AI in business are:
Generative AI Solutions: Shahar Chen has developed innovative AI solutions that help companies enhance their customer service and streamline operations.
AI for the Service Industry: His work has significantly impacted the service industry, providing tools that improve efficiency and customer satisfaction.
Thought Leadership: Chen is a recognized thought leader in the AI community, frequently sharing insights and advancements in generative AI including as a member of Forbes Technology Council.
Shahar Chen's innovative approach and contributions to generative AI make him a visionary to follow in 2025. His work continues to drive advancements in AI applications for the service industry, ensuring that businesses can employ AI effectively.
Not all visionaries work right at the coal face, as it were. Kristian McCann is one of these. However, he is renowned in the industry as a thought leader in AI strategy and is a leading journalist and editor for AI Magazine.
Among his accomplishments and roles are:
AI Strategy Development: McCann has helped numerous companies develop and implement effective AI strategies, driving growth and innovation.
Industry Insights: He regularly shares his insights on AI trends and best practices, helping businesses stay ahead of the curve.
Educational Contributions: McCann is also involved in educating the next generation of AI professionals through workshops and seminars.
Kristian McCann's expertise in AI strategy and his contributions to the AI community make him a visionary to follow in 2025.
It’s impossible to mention AI visionaries in business without including Satya Nadella in the list. The Microsoft CEO has played a prominent role in driving the integration of AI into software at all levels of the Microsoft ecosystem. From the AI-driven insights of its PowerBI to cloud services like Azure, the company has been fast to unleash the potential of AI. Much of this can be attributed to Nadella’s influence.
Among the AI advancements that Microsoft and Nadella have made in rolling out AI solutions are:
Copilot AI: Nadella introduced Copilot AI, integrating it as an AI assistant across Microsoft 365 apps like Teams, Outlook, and PowerPoint.
AI Stack Advances: Under his leadership, Microsoft has made significant advances in the AI stack, resulting in more robust and scalable AI solutions.
Security Enhancements: Nadella has emphasized security enhancements, including data governance and new features to prevent AI misuse.
Satya Nadella's visionary leadership and the raft of AI updates announced at Microsoft Ignite 2024 make him a key figure to follow in 2025.
Kate Crawford is perhaps one of the busiest visionaries to make the list. As well as being a Senior Principal Researcher at Microsoft Research (MSR) in New York, Kate has also published some seminal works on AI and its societal effects. Her latest book - Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence – was described as “A timely and urgent contribution" by Science.
Among her innumerable achievements in the AI field are:
FATE Research Group: Kate co-founded the Fairness, Accountability, Transparency, and Ethics (FATE) research group at Microsoft Research, focusing on the ethical implications of AI.
Interdisciplinary Collaborations: She has led multiple interdisciplinary research groups, including the AI Now Institute at NYU and Knowing Machines at USC, addressing the broader societal impacts of AI.
Creative Projects: Kate's project "Anatomy of an AI System" with artist Vladan Joler won the Beazley Design of the Year Award and is part of the permanent collections at the Museum of Modern Art in New York and the V&A Museum in London.
Kate Crawford's extensive research, interdisciplinary collaborations, and creative projects make her a visionary to follow in 2025.
Last but certainly not least on the list is Daniela Rus. Daniela Daniela Rus is the Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. She is known for her pioneering work in robotics and AI, particularly in the development of autonomous systems and machine learning algorithms.
Among her notable achievements are:
Autonomous Systems: Rus has made significant contributions to the development of autonomous systems, including self-driving cars and robotic assistants.
Machine Learning Algorithms: Her research has advanced the field of machine learning, leading to the creation of more efficient and effective algorithms.
Interdisciplinary Research: Her work covers multiple disciplines, integrating AI with robotics, computer science, and engineering.
Daniela Rus's pioneering work in robotics and AI, her interdisciplinary research, and her innovative approach make her a visionary to follow in 2025.
Throughout history, very few people can claim to have a major impact on shaping the future. AI is certainly going to do that and the pioneers leading the charge are likely to be judged by history as reshaping both society and the workplace.
If you’re looking to explore exciting career paths or upskill in AI-related roles, HappyTechies.com is here to help. Our platform connects talented professionals with the exciting opportunities that exist within the entire range of Microsoft technologies.
Power BI has developed from a basic business intelligence tool to an AI-powered platform. As more and more institutions are making data-driven decisions, Power BI has introduced some amazing tools that make data analysis and prediction easier than ever. As a seasoned analyst or a first-time user, we’ll show you how Power BI artificial intelligence can do in today’s data-driven world. Let’s go through the Power BI AI features to help you uncover patterns and make predictions with ease.
Tue, Dec 10, 2024
Power BI has developed from a basic business intelligence tool to an AI-powered platform. As more and more institutions are making data-driven decisions, Power BI has introduced some amazing tools that make data analysis and prediction easier than ever. As a seasoned analyst or a first-time user, we’ll show you how Power BI artificial intelligence can do in today’s data-driven world. Let’s go through the Power BI AI features to help you uncover patterns and make predictions with ease.
Tue, Dec 10, 2024
This year’s Microsoft Ignite event is one of the most eagerly anticipated for years. Not unsurprisingly, much of this excitement can be attributed to one of the most disruptive technologies for decades – AI. More specifically, Microsoft’s Copilot offering.
Wed, Nov 27, 2024
This year’s Microsoft Ignite event is one of the most eagerly anticipated for years. Not unsurprisingly, much of this excitement can be attributed to one of the most disruptive technologies for decades – AI. More specifically, Microsoft’s Copilot offering.
Wed, Nov 27, 2024
Microsoft Fabric is a complete data analytics platform that competes with the likes of Snowflake, Databricks and GCP BigQuery. With Data Engineering, Data Warehouse, Data Science and BI engines, Fabric is a one-stop shop for all your data needs. More importantly, every engine in Fabric is now augmented with Generative AI capabilities. In this piece we highlight some of those AI Capabilities that Fabric offers.
Thu, Nov 14, 2024
Microsoft Fabric is a complete data analytics platform that competes with the likes of Snowflake, Databricks and GCP BigQuery. With Data Engineering, Data Warehouse, Data Science and BI engines, Fabric is a one-stop shop for all your data needs. More importantly, every engine in Fabric is now augmented with Generative AI capabilities. In this piece we highlight some of those AI Capabilities that Fabric offers.
Thu, Nov 14, 2024