Bloomberg: Meta is secretly building a cloud business, selling surplus AI computing power to challenge the three giants.

Social media giant Meta has officially thrown down the gauntlet to the cloud computing triumvirate! According to a report by Bloomberg today (1st), Meta is quietly building a new cloud business, planning to sell its "excess AI computing capacity" from its massive data centers to enterprise clients. This move will not only significantly reduce the company's reliance on traditional advertising revenue but also directly challenge AWS, Microsoft, and Google. Fueled by this new AI commercialization blueprint, Meta's pre-market stock price surged nearly 6%.
(Previous recap: Meta's black tech: Wearing a helmet to let AI read your brain, text accuracy hits 61%)
(Background supplement: Meta launches three proprietary AI smart glasses, starting at $299 to capture the market, AR glasses also on the horizon)

Table of Contents

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• Emulating the AWS Bedrock Model, Opening a New Blue Ocean Beyond Advertising
• Zuckerberg's Confidence: Built too much computing power? Then sell it!
• 2026 Tech Giants' AI Capital Expenditure and Meta's Strategic Overview

Amid the escalating global AI infrastructure arms race, Meta is orchestrating a bold cross-sector counterattack. According to the latest Bloomberg report on July 1, 2026, the tech giant, which rose to prominence on social media and digital advertising, is secretly constructing a cloud business, preparing to monetize its coveted AI computing power.

Emulating the AWS Bedrock Model, Opening a New Blue Ocean Beyond Advertising

Sources familiar with the matter reveal that Meta's core plan is to offer enterprise clients "access to AI models" hosted on its existing infrastructure. This business model closely resembles Amazon Web Services' (AWS) Bedrock platform. Clients won't need to invest heavily in building their own servers; instead, they can directly rent Meta's computing power and model APIs to develop their own AI applications.

This strategic shift is significant for Meta. For a long time, Meta's revenue has heavily depended on the single digital advertising market. If it successfully enters the lucrative cloud computing sector, it will not only widen its moat but also formally put Meta in the ring with traditional cloud giants like Amazon, Microsoft, and Alphabet (Google). The market has responded enthusiastically, with Meta's stock price (META) surging nearly 6% in pre-market trading following the news (some quote platforms showed it briefly reaching +7.59%).

Zuckerberg's Confidence: Built too much computing power? Then sell it!

In fact, clues to this cloud initiative have been evident. Meta CEO Mark Zuckerberg hinted at this possibility during the company's shareholder meeting earlier this year. When questioned by outsiders about whether Meta was "overinvesting" in AI data centers, he gave a confident response:

"Almost every week, other companies approach us, asking to purchase access to Meta's AI models as a cloud provider, or even willing to pay a 'premium' to buy our spare computing capacity."

Zuckerberg emphasized at the time that Meta was not yet doing so because its own computing needs remained substantial. "But if we ultimately find that we've built too much computing infrastructure, this (developing a cloud business) is definitely a viable option. That's part of the reason why we have full confidence to continue investing heavily."

2026 Tech Giants' AI Capital Expenditure and Meta's Strategic Overview

Underpinning this cloud dream is an astronomical level of capital investment. Bloomberg reports that large tech companies are expected to spend an unprecedented amount on AI infrastructure in 2026:

| Core Indicator / Strategic Direction | | --- | Market Data and Current Situation Interpretation | | --- | --- | | Major AI Capital Expenditure (Capex) | Estimated to exceed $700 billion | | Comparison with 2025 Expenditure Scale | Significant increase (2025 approx. $400 billion), indicating a sustained computing power hoarding trend. | | Meta's Cloud Business Entry Point | Leveraging excess AI computing capacity, offering model APIs and computing rental services similar to AWS Bedrock. | | Strategic Impact | Effectively hedging against the risk of single-source advertising revenue and ensuring over-invested server equipment can be quickly monetized. |

Currently, Meta's official response to this report is pending. Reuters also stated that it cannot independently verify the specific timeline of the plan. However, in an era where AI computing power is national strength, Meta's script for converting excess computing capacity into a cloud-based money-printing machine has undoubtedly sparked immense imagination on Wall Street.