Five architects of the AI economy explain where the wheels are coming off

At the Milken Global Conference, five AI supply chain leaders warned of chip shortages, flawed architectures, and the radical possibility of orbital data centers. | Contesto: cronaca

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• Five architects of the AI economy explain where the wheels are coming off

Contesto

Earlier this week, at the Milken Global Conference in Beverly Hills, five architects of the artificial intelligence economy sat down with TechCrunch to deliver a stark assessment of the industry’s trajectory. The group, whose work touches every layer of the AI supply chain, did not mince words: chip shortages persist, the infrastructure underpinning the technology may be fundamentally flawed, and the industry is already contemplating orbital data centers as a potential escape hatch. The conversation ranged from the immediate to the speculative. On the near-term horizon, the panelists described a supply chain still reeling from a prolonged chip crunch that has hobbled everything from training runs to deployment. Even as fabrication capacity expands, demand from hyperscalers and emerging AI-native startups continues to outstrip supply. The bottlenecks are not merely about silicon; they also involve advanced packaging, memory bandwidth, and the specialized networking gear needed to link thousands of accelerators into coherent clusters. Perhaps the most provocative thread involved the possibility that the entire computing architecture underpinning modern AI is wrong. The panelists questioned whether the current reliance on dense, power-hungry data centers optimized for sequential processing can sustain the exponential growth in model size and inference queries. They pointed to emerging research into alternative paradigms—neuromorphic chips, analog computing, and even optical interconnects—that might upend the dominance of traditional GPU-based clusters. One participant suggested that the industry may need to rethink the stack from the transistor up. Looking further out, the group explored the notion of orbital data centers. While still a fringe concept, the idea of placing compute infrastructure in space gained traction as a way to sidestep terrestrial energy constraints, cooling costs, and geopolitical risk. The panelists noted that several aerospace firms and government agencies are already conducting feasibility studies, though they acknowledged the immense engineering hurdles—from launch costs to radiation hardening to latency—that remain unresolved. The...

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Categoria: cronaca