According to The Next Platform, the AI hardware boom is hitting a wall that isn't about customer appetite but about manufacturing physics. The article argues that while hyperscalers and AI labs continue to pour money into compute, the actual growth of AI spending is now capped by the industry's ability to produce advanced packaging—like CoWoS—and high-bandwidth memory (HBM). These components are the bottlenecks, not the GPUs themselves.
The piece notes that chipmakers have expanded capacity, but not fast enough to match the exponential demand curve. As a result, lead times for AI accelerators are stretching, and data center buildouts are being delayed. The article suggests that this constraint acts as a "governor" on AI spending, meaning even if budgets were unlimited, physical supply would still dictate the pace of deployment.
Because this is a single source, there is no contrasting view to compare. The analysis is forward-looking and assumes current capacity expansion plans remain on schedule, but it warns that any further disruptions—such as power or material shortages—could tighten the cap even more. The bottom line: AI's growth is now a supply-side story, not just a demand-side one.