Tech companies face significant challenges deploying AI infrastructure as data center construction capacity falls short of chip sales forecasts, with only half of GPU servers potentially having power availability by 2028. Analysts warn that hyperscalers may struggle to build sufficient capacity to improve models enough for enterprise adoption, while chip stockpiling and slowing AI spending growth threaten returns on massive capital expenditures that require over $1 trillion in annual revenue by 2027 to break even.