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In this episode, Wallis sits down with Michael Søndergaard, CEO of Spectral Compute, to unpack what they call The Great Decoupling—a structural shift reshaping AI infrastructure and enterprise strategy. As global demand for AI compute explodes, enterprises are discovering that dependence on a single hardware and software stack is no longer sustainable. Michael explains why proprietary, vertically integrated AI ecosystems are reaching their breaking point, and how hardware-agnostic approaches are restoring choice, leverage, and resilience to organizations building AI at scale. The conversation explores how Spectral’s compiler technology allows enterprises to run existing CUDA-based workloads across diverse GPU hardware without rewriting code, unlocking supply flexibility, cost leverage, and risk diversification. Instead of compute procurement being dictated by vendor availability, leaders can once again treat infrastructure as a strategic business decision. Wallis and Michael also dive into the geopolitical and economic implications of compute lock-in, the legal and technical landscape surrounding GPU ecosystems, and why the future of AI infrastructure will look more like portfolio management than traditional IT purchasing. The episode closes with practical guidance for enterprise leaders: conduct a dependency audit now, and start building portability into architecture decisions to preserve long-term optionality. Key themes include: • Why hardware lock-in is becoming economically and strategically untenable • How enterprises can orchestrate workloads across diverse GPU fleets without rewriting code • Compute procurement as portfolio management • Supply-chain resilience and sovereign AI considerations • Practical steps leaders can take today to prepare for a decoupled future A must-listen for CEOs, CTOs, CIOs, and infrastructure leaders navigating the next phase of enterprise AI.