The explosive proliferation of AI agents is triggering a computing crunch in central processing units (CPUs), not graphics processing units (GPUs). Amazon Web Services (AWS) management recently issued stringent cost-saving directives to internal engineers, with some engineers now waiting days—rather than hours—for CPU server resources. According to a report by tech publication The Information, AWS management convened engineers in May to deliver a warning signal: to ensure that the core EC2 cloud server business can meet all customer demand going forward, engineers must do everything possible to conserve computing resources. This directive covers not only the chronically supply-constrained AI-specific chips but also explicitly targets traditional CPU servers. AWS has set deadlines later this year for teams to reduce their computing resource footprint. Engineers are progressively shutting down EC2 virtual server instances previously used for software development that now sit idle, reallocating that capacity to paying external customers. One AWS engineer said that CPU server resources that once took just hours to provision now require queuing for days—something unprecedented in their career—and warned that such delays are highly likely to slow project delivery timelines. AWS officially stated that even amid heavy demand, the company can still meet the computing needs of the vast majority of internal and external customers, and is working closely with internal teams to ensure EC2 resources are utilized as efficiently as ever. AWS clarified that its resource usage guidelines for employees have not changed due to the current tightness in memory chip supply. Warning signs have emerged in AWS's Spot Instances—sur