11 March 2026: Corporates Mobilise Compute, Culture and Governance to Shift AI From Pilots to Production

Today’s announcements echo the mid-1990s Internet build-out when companies rushed to lay fibre before they knew the killer apps; like then, hardware races (GPU hoarding) run parallel to soft factors—skills, workflows, governance—that actually unlock value. The concentration of compute (NVIDIA now designs >90 % of high-end GPUs) evokes the 19th-century British control of steam engines: nations denied access feared a growth ceiling, sparking sovereignty drives such as India’s plan for 200,000 GPUs. Long-term, AI resembles electricity (U.S. factories installed motors in the 1880s yet productivity only leapt after assembly-line reorganisation in the 1920s). The cultural retraining, agentic workflow redesign and portfolio governance surfacing in these releases hint at that second-wave payoff—but also flag a risk that capital-intensive GPU stockpiles become stranded assets if business processes and regulation fail to keep pace. On a 100-year horizon, whoever marries compute abundance with organisational rewiring—not merely raw silicon—will shape the next productivity epoch.