CultureCultureMeta Platforms is pouring billions into artificial intelligence, a staggering investment that has left many investors questioning the company's financial future. Yet, Bank of America stands firm, asserting a compelling case for Meta stock in 2026, even as the social media behemoth gears up to spend an estimated $125 billion to $145 billion on AI infrastructure in the coming year.
This aggressive spending strategy has visibly impacted Meta's financial health in the short term. The company's free cash flow plummeted to $1.2 billion in the first quarter of 2026, a stark contrast to the $26 billion reported during the same period the previous year. This dramatic shift has fueled investor skepticism regarding the potential returns on such colossal capital outlays, putting Meta's long-term vision under intense scrutiny.
Bank of America’s Senior Analyst, Justin Post, has been closely tracking Meta’s trajectory, adjusting price targets as the company’s AI strategy unfolds. Initially, in late 2025, Post set a robust price target of $900 for Meta stock. By January 26, 2026, while reiterating a "Buy" rating, the target was pragmatically adjusted downward to $810, acknowledging Meta's escalating expense guide. Reports later that month, around January 28, highlighted Meta's multi-year AI infrastructure investment reaching an annual run rate exceeding $100 billion.
The narrative continued to evolve into April 2026. On April 8, Meta Platforms' shares saw a notable surge following the release of "Muse Spark," its first significant new AI model in over a year, developed by Meta Superintelligence Labs. Post of BofA then reiterated a 'Buy' rating and increased the price target to $885, citing the model's early launch. However, by April 20, BofA again trimmed Meta's price target to $820 while maintaining its "Buy" rating, with Meta's capital expenditure guidance for 2026 then standing between $115 billion and $135 billion. This target was formally revised by Post on April 21, just ahead of Meta's first-quarter earnings report.
On April 29, 2026, from Menlo Park, California, Meta Platforms, Inc. unveiled its first-quarter financial results. The company reported a revenue of $56.31 billion, marking a substantial 33% increase year-over-year. However, total costs and expenses also surged by 35% to $33.44 billion. Capital expenditures for the quarter alone hit $19.84 billion, and free cash flow was $12.39 billion. Notably, Meta raised its full-year 2026 capital expenditure guidance to a range of $125 billion to $145 billion, an increase from its earlier projection of $115 billion to $135 billion. This hike was attributed to higher component pricing and additional data center costs. During this period, Meta also announced a reduction of approximately 8,000 employees, framing it as a strategic shift from labor to compute resources. Following these announcements, reports on April 30 indicated that Meta's shares experienced a decline as the company's increased spending outlook surpassed analysts' estimates.
Meta CEO Mark Zuckerberg remained optimistic about the company's direction. "We had a milestone quarter with strong momentum across our apps and the release of our first model from Meta Superintelligence Labs. We're on track to deliver personal superintelligence to billions of people," Zuckerberg stated. Susan Li, Meta's Chief Financial Officer, further clarified the increased capital expenditures, noting they were driven both by the company's conviction in its AI strategy and by external factors like higher component pricing and additional data center expenses. Despite this, Bloomberg Intelligence analyst Mandeep Singh commented that the elevated spending "increases the stakes" for Meta, especially since its internal AI system "still trails frontier lab peers."
The core of Bank of America's current bullish argument solidified during Meta's annual shareholder meeting on May 28, 2026. At this gathering, CEO Mark Zuckerberg hinted at a significant strategic pivot: Meta might consider entering the cloud computing market if its extensive infrastructure investments result in excess capacity. He also highlighted strong inbound demand from external companies seeking access to Meta's APIs and computing resources. This statement offered a potential "safety valve" for investors worried about the utilization of Meta's massive AI buildout. Earlier that day, reports noted that Meta's shares had fallen nearly 23% from their peak in August of the previous year, largely due to concerns over its AI spending plans.
The following day, May 29, 2026, BofA Securities reiterated its Buy rating and an $835.00 price target for Meta Platforms, following Meta's announcement of a new enterprise-focused AI initiative. Meta has established a dedicated Enterprise Solutions unit specifically to promote the corporate adoption of its AI tools. The firm suggested that enterprise sales could provide Meta with crucial flexibility if there were an overbuild of capacity, helping to mitigate any potential decline in margins.
By May 30, 2026, Bank of America's position was clearly articulated: Meta's aggressive push into enterprise AI could provide a vital outlet if its infrastructure buildout leads to excess capacity. The bank argued that enterprise AI demand could establish a more resilient and less economically sensitive revenue stream for Meta, a stark contrast to its existing advertising-centric business model. This argument is set against the backdrop of the projected growth of the enterprise AI solutions and cloud capacity market, which is expected to exceed $1 trillion by 2028. BofA suggested that even a modest share of this market could generate substantial revenue for Meta, given its existing infrastructure.
This strategic shift marks a fundamental transformation for Meta, moving beyond its roots as primarily a social media company to become a full-scale AI hyperscaler. Unlike other major U.S. hyperscalers such as Amazon, Microsoft, and Alphabet, which monetize their AI infrastructure through public cloud platforms, Meta has historically built its computing capacity for internal use. This distinction has been a key concern for investors regarding the return on Meta's considerable capital investments. While Meta's core advertising business remains robust, the immense capital expenditure for AI has compelled analysts to weigh immediate margin pressures against the promise of future diversification and revenue streams. The coming years will reveal if Meta's massive gamble on AI infrastructure will pay off, transforming it into a dominant player in the broader enterprise AI and cloud market.