Bank of America sees enterprise AI as hedge for Meta’s heavy infrastructure spend
Meta’s projected $145 billion AI buildout in 2026 has pressured free cash flow, but Bank of America Securities argues that external demand for compute capacity offers a durable revenue alternative to the advertising model.
Bank of America Securities has reiterated its Buy rating on Meta, identifying potential enterprise AI demand as a critical hedge against the margin erosion caused by the tech giant’s aggressive capital expenditure plans. The bank argues that external demand for Meta’s compute capacity could provide a durable revenue stream, offering optionality if consumer AI adoption lags behind the company’s infrastructure buildout schedule.
Meta is projected to spend between $125 billion and $145 billion on AI infrastructure in 2026, a significant escalation from the $72 billion spent in 2025. This heavy investment has already impacted the company’s financial metrics, with free cash flow dropping sharply to $1.2 billion in the first quarter of 2026, down from $26 billion in the same period the previous year.
The investment case presented by the bank suggests that enterprise AI solutions and cloud capacity could create a less macro-sensitive revenue stream for Meta compared to its current advertising-driven model. Bank of America noted that the enterprise AI solutions and cloud capacity market is expected to top $1 trillion by 2028, according to Investing.com. The bank argues that even a small share of this market could add substantial revenue for Meta, given its existing infrastructure.
CEO Mark Zuckerberg indicated at the annual shareholder meeting that Meta may enter the cloud computing market if its infrastructure investments result in excess capacity. He acknowledged strong inbound interest from external companies seeking access to Meta’s APIs and computing resources, according to Investing.com. While no formal product announcement has been made, the comments signal that demand is already emerging.
The bank’s analysis frames this potential shift as both an upside opportunity and a risk mitigation strategy. By monetising excess capacity, Meta could limit margin pressure if consumer AI products take longer to scale than expected. This diversification reduces the reliance on the core advertising business, which is already operating on thinner cash flow margins as capital expenditure absorbs more of the company’s free cash.
For investors, the key question is whether enterprise demand for Meta’s compute is a scalable reality or a theoretical safety valve. Bank of America suggests the optionality exists and changes the risk profile of Meta’s infrastructure spend, making the company less exposed than if it were betting on a single monetisation path.
