Why AI in the Data Center Isn’t Enough
AI is everywhere, but the future might not live in the cloud. What if intelligence could run locally, on the devices we already use, making AI faster, more efficient, and better aligned with human needs?
In this episode of the Future Pulse Podcast, Ramin Hassani, CEO of Liquid AI, joins Melica Moshiri to explore why AI in the data center isn’t enough and how decentralising intelligence could redefine the next era of technology. Ramin shares how Liquid AI is developing highly efficient AI systems that operate directly on devices, improving privacy, reducing energy use, and democratising access to intelligence worldwide.
The discussion uncovers how Liquid Foundation Models enable AI to run without cloud dependency, what decentralisation means for the industry, and why sustainability and human values must guide innovation. Ramin also addresses misconceptions about the AI investment landscape and the critical need to make technology that serves people first.
If you want to understand how AI can become smarter, greener, and more human-centred, this conversation offers a forward-thinking look at the future of intelligence beyond the data center.
Future Pulse is part of Skilltorch, a global tech recruitment company partnering with AI-driven businesses to place both GTM and technical talent. The company was founded by Melica Moshiri, who featured on BBC’s The Apprentice 2025.