Samo Burja on Growth, Energy, and AI

This discussion highlights how the insatiable demands of artificial intelligence for compute, energy, and physical infrastructure are poised to create unprecedented opportunities across industries traditionally separate from software development. The central argument is that AI's growth isn't just a technological advancement but a profound demand shock that will resonate through manufacturing, energy production, logistics, and even urban planning, forcing a rethinking of industrial capacity and the foundational systems that support it. This perspective moves beyond viewing AI as merely code or algorithms, repositioning it as a catalyst for a global industrial renaissance. For a freelance designer, this shift means recognizing that their skills in visualization, user experience, or brand development for AI products will increasingly extend to designing physical factories, energy grids, or specialized data centers. They could capitalize by specializing in industrial design for AI-driven infrastructure projects, moving from purely digital deliverables to contributing to the blueprints of physical assets powering the AI age. An indie SaaS founder currently building a niche tool might find new avenues by integrating their software with energy management systems or supply chain optimization platforms specifically geared toward the massive infrastructure build-out AI demands. Their software could become critical middleware for physical projects, not just digital interfaces. Similarly, an internal IT team at a mid-size logistics company faces the opportunity to leverage AI-driven optimization not just for their software stack, but to inform actual physical fleet deployment, warehouse design, or even strategic land acquisition for future logistical hubs essential to supporting AI's sprawling physical footprint. To begin exploring this, consider one non-software component of your current work or business. How might its demand or complexity increase tenfold if it were required to support a deeply integrated AI workload? Sketch out a hypothetical scenario where an AI system's need for raw materials, stable power, or physical space directly impacts that component. Identify one potential bottleneck this creates and brainstorm a single, tangible solution that involves a physical-world intervention rather than just a software fix.