Despite concerns about an overheated market and dot-com era bubble, momentum supporting AI infrastructure investments remains strong
DENVER, June 11, 2026 (GLOBE NEWSWIRE) — AI-related capital expenditures continue to skyrocket as Amazon, Microsoft, Meta and Google race to build next-generation digital technologies. U.S. hyperscalers spent an estimated $400 billion in 2025 and expectations are that spending could approach $700 billion this year. Beyond boosting U.S. GPD, massive investments in AI infrastructure have been the driving force behind the recent rise in stock prices.
The highly concentrated nature of this spending — and the outsized impact it’s having on financial markets — is fueling concerns that any slowdown could burst the proverbial AI bubble. While those concerns have merit, a new report from CoBank’s Knowledge Exchange suggests the current cycle of AI investments is far from over.
“Despite the unprecedented amount of capital being deployed and the inherent risks associated with a high degree of market concentration, numerous signs suggest AI infrastructure spending has a long runway,” said Jeff Johnston, lead digital infrastructure economist with CoBank. “The interconnected nature of the AI ecosystem and the circular relationships between participants do present risks, but at this point those risks appear isolated rather than systemic.”
Johnston pointed to strong returns on invested capital, explosive AI application growth and robust supply chain guidance as indicators that AI infrastructure spending is poised to continue. Profitability among players across the entire AI ecosystem including hyperscalers, model developers, semiconductor manufacturers, memory makers and networking companies underpins the sustainability of current capex levels.
Examples of that profitability and return on capital investments abound. NVIDIA recently projected more than $1 trillion in cumulative revenue for its AI GPU chipset business through 2027, a massive increase from approximately $130 billion in 2025. Memory maker Micron, whose products are integral to the AI capex cycle, reported Q2 revenue of $23 billion. That’s a staggering 196% year-over-year increase and well above investor expectations. OpenAI reported earlier this year that its revenue had reached $2 billion per month, up from the estimated $2 billion it delivered for all of 2023.
Additionally, the last few years of AI investment has been foundation building — constructing the infrastructure and large language models that will support the next phase of AI — inference, where developers create AI applications for end users. These new applications are quickly evolving into AI agents that perform tasks and take actions versus simply answering questions like the early AI chatbots.
