By Celesta Capital | Deep Tech Venture Capital Firm
The TechSurge: Deep Tech VC Podcast explores the frontiers of emerging tech, geopolitics, and business, with conversations tailored for entrepreneurs, technologists, and investment professionals.
The TechSurge: Deep Tech VC Podcast explores the frontiers of emerging tech, geopolitics, and business, with conversations tailored for entrepreneurs, technologists, and investment professionals. Each discussion delves into the intersection of technology advancement, market dynamics, and the founder journey, offering insights into the vast opportunities and complex challenges ahead. Episode topics include AI, data center transformation, blockchain, cyber security, healthcare innovation, VC investment trends, tips for first-time founders, and more. Past guests include investor Vinod Khosla, former PepsiCo CEO Indra Nooyi, the Global Head of McKinsey, and executive leaders from Microsoft, OpenAI, and other leading tech companies. New episodes release every two weeks.
Latest episode
The Race to Build the Next Trillion-Dollar AI Chip Company
Almost 2% of U.S. GDP will be spent on AI infrastructure this year, nearly double 2025's figure. But beneath those headline numbers, the composition of that spending has quietly flipped: for the first time, dollars spent on running models in production now outweigh dollars spent training them.
In this episode, Nobel Prize-winning physicist Dr. John Martinis reveals how his breakthrough in superconducting qubits made quantum physics real at macroscopic scale and what it means for the future of technology.
Silicon Valley was built on semiconductors, but for nearly two decades, venture capital shifted its attention towards software. Today, AI is changing that as the demand for compute, memory and networking explodes, hardware is once again at the centre of the industry's biggest bets.
Artificial intelligence is often discussed through models and GPUs. This episode looks beneath that surface, at the power delivery and networking required to make AI work at scale.
Prabhakar reflects on his career as a computer scientist, researcher, and technology leader, beginning with his time at IBM Research, where he worked on algorithms, optimization, databases, and early information retrieval.
Semiconductors have moved from the background of the technology stack to the center of the AI economy. What used to be a specialized industry discussed mostly by engineers and investors is now shaping the speed, cost, and strategic direction of modern computing.
For most of human history, space has been a place we visited. The next chapter may be about building there. For decades, space was the domain of governments, astronauts, and science fiction.
For years, the United States told itself a reassuring story: China could manufacture and copy, but it couldn't innovate. That story is no longer credible. From DeepSeek's compute-efficient AI model to BYD's dominance of the global EV market, China is producing both volume and quality across sectors that matter.
For thirty years, the United States largely ignored critical minerals. We mined less, processed less, and stockpiled less — while China quietly built the most dominant mineral supply chain in modern history. When China imposed rare earth export restrictions in 2024, manufacturers from Detroit to Tokyo scrambled.