{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/677e44b59c8e2047f5bf33e6/6a4406b175e7a3e961ca5e35?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"#22 The Real AI Race: Energy, data & sovereignty - David Gurle, Co-founder & CEO of Antimatter","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/677e44b59c8e2047f5bf33e6/1782835102549-2c09a7a9-49a6-4cc5-a45a-1d925d5ba0d0.jpeg?height=200","description":"<p><br></p><p>David Gurle, Co-Founder &amp; CEO of Antimatter, joins Margot Bletterie to explore why the future of AI will be shaped by energy, data sovereignty, and infrastructure rather than model performance alone.</p><p><br></p><p>Drawing on decades of experience building internet infrastructure, Microsoft collaboration technologies, Skype for Business, Symphony, HiveNet and PolyCloud, David explains why AI's biggest constraints are shifting from algorithms to compute, electricity, and control over data. He also shares how Antimatter aims to make AI more accessible through distributed infrastructure built around unused energy resources.</p><p><br></p><p><strong>WHAT YOU WILL LEARN</strong></p><p>How energy is becoming one of the biggest bottlenecks for large-scale AI adoption</p><p>Why AI infrastructure is moving from centralized data centers toward distributed computing</p><p>What data sovereignty really means for governments and businesses using AI</p><p>Why open source AI models are becoming an increasingly attractive alternative for many organizations</p><p>How AI agents are changing productivity inside companies and what leaders should prepare for</p><p>Why organizations need to develop internal AI capabilities instead of relying entirely on external providers</p><p><br></p><p><strong>CHAPTERS</strong></p><p><br></p><p>00:00 Introduction</p><p>05:32 Why energy is becoming AI's biggest constraint</p><p>10:27 How Antimatter uses distributed energy for AI infrastructure</p><p>18:01 Why data sovereignty matters in the AI era</p><p>31:27 Training versus inference explained</p><p>34:01 Open source AI versus proprietary models</p><p>39:21 AI agents and the future of work</p><p>44:53 Building an AI-first company culture</p><p>50:32 The long-term vision behind Antimatter</p><p><br></p><p><strong>CONNECT AND SUBSCRIBE</strong></p><p><br></p><p>Learn more about David Gurle: https://www.linkedin.com/in/davidgurle/</p><p>Subscribe to The AI Social Club Podcast for more conversations with AI &amp; data leaders</p><p>Website: https://www.thesocialclub.ai/</p><p>Spotify: https://open.spotify.com/show/7d3XmTgIhXqim1r63a1yWH</p><p>Apple Podcasts: https://podcasts.apple.com/us/podcast/the-ai-social-club/id1793045703</p><p>LinkedIn:</p><p>https://www.linkedin.com/in/margot-bletterie/</p><p>https://www.linkedin.com/company/the-ai-social-club/</p><p><br></p><p>If you found this episode valuable, like, share, and comment.</p><p><br></p><p>It helps us reach more people and spark thoughtful conversations on AI and society.</p>","author_name":"Margot Bletterie"}