The real reason Meta shares are surging has nothing to do with its new AI model

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The real reason Meta shares are surging has nothing to do with its new AI model Louis Juricic Fri, July 10, 2026 at 8:13 AM EDT 4 min read META While the headlines are buzzing about Meta's shiny new Muse Spark 1.1 AI model and its pivot to a paid developer model, Wall Street's biggest bulls are actually focused on a much quieter, highly technical detail tucked away in an internal memo. The real reason shares are pushing higher is tied directly to the underlying math of Meta's infrastructure, first brought to light by Reuters. The leak prompted BofA Securities analyst Justin Post to reiterate a Buy rating and an $835.00 price target on Meta Platforms (NASDAQ: META). Here is the breakdown of the hidden catalyst driving the stock: Investors have long been anxious about Meta's eye-watering capital expenditure (capex) budget. Building AI requires an unimaginable amount of electricity and data centers. However, an internal company memo reviewed and reported by Reuters reveals that Meta isn't just building big—it is building incredibly efficiently. According to BofA's analysis of the Reuters report: The Gigawatt Explosion: Meta is working to add a staggering 14 Gigawatts (GW) of total compute capacity across 2026 and 2027. The memo noted that Meta has deployed 1GW so far in 2026 and expects to drop another 5.5GW in the second half of the year. The Cost Disconnect: BofA previously estimated that it would cost Meta about $45 billion per GW to build this out. Based on the memo's capacity numbers and Meta's expected $145 billion capex, Meta's actual cost is tracking closer to $22 billion per GW. Justin Post summarized the significance of this development in his note to clients: "The 6.5MW 2026 capacity growth in the memo is well above BofAe at 2.6GW, and if 2026 capacity estimates in the memo are even close to accurate, Meta may have engineered significant cost savings to get capacity cost per MW well below our and Street expectations." Ultimately, Meta appears to be building out its AI empire at roughly half the cost Wall Street expected. For months, the bear case against Meta was that its AI spending would incinerate cash without a clear return on investment (ROI). Justin Post's analysis completely flips that script. If Meta can build AI capacity at under $30 billion per GW, the economics become wildly profitable relative to the rest of the tech sector. As Post noted: "We think building MW of AI capacity at below $30bn per GW could have significant positive economics relative to our estimates for Amazon and Google annual Cloud revenues per GW at $10-16bn or recent SpaceX capacity deals that could range from $40-50bn per year per GW." The Reuters article also detailed that, after positive testing, Meta plans to start manufacturing a custom chip, code-named Iris, in the fall to supplement its purchase of GPUs. While the market is cheered by news that Meta will start manufacturing Iris with Broadcom and TSMC this September, BofA points out a clever nuance: because Iris doesn't hit manufacturing until the fall, it isn't the source of the 2026 cost savings. Instead, the cost efficiencies are already happening organically, and the chip roadmap is an added bonus for the future. The Reuters report noted that Meta plans to introduce new custom chips approximately every six months through 2027, securing multi-year supply agreements with key partners (including Broadcom and TSMC). Post viewed this progression as a major long-term win: "Given that Iris is just starting to be manufactured in September, it seems unlikely that the chip is driving significant capacity cost savings in 2026, making the Reuters reported capacity GW estimates possibly less likely. However, we see reported progress with chip development as a big positive for Meta (given Cloud margin contribution from TPUs and Trainium), and likely supportive of Meta CEO's optimism on returns on capacity investment." The media is focused on the software, but the stock is surging because of the infrastructure economics first uncovered by Reuters. Wall Street is realizing that Meta isn't just spending blindly to catch up to OpenAI; it has engineered a hyper-efficient, vertically integrated AI factory. By cutting its projected capacity costs in half and securing its own chip pipeline, Meta has addressed its biggest overhang: proving to investors that its massive capex budget will yield blockbuster returns. The real reason Meta shares are surging has nothing to do with its new AI model Citi pushes back Fed rate cuts to May after blowout January jobs report Goldman expects lower but still attractive stock market returns in 2026

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