Meta Shares Find Some Support, As May Offers Tentative Recovery

Meta Platforms share price (NASDAQ:META) has clawed back 3.82% in May following a sharp post-earnings selloff in late April, as markets reassess whether a record-breaking quarter justifies the social media giant’s unprecedented $145 billion artificial intelligence infrastructure bet.

Meta shares tumbled nearly double digits in the immediate aftermath of the April 29 earnings release, wiping out the stock’s year-to-date gains despite posting what many analysts described as one of the strongest quarterly performances in the company’s history. The stock gapped down from $670 to the low-$600s before finding support. Since the first week of May, however, META has staged a measured recovery, adding back nearly 4% as the capex shock has begun to be absorbed as part of a broader industry arms race rather than an isolated misstep.

The recovery this month has been more about steady accumulation rather than dramatic reversals, with the stock building support around the $610 level. Trading volumes have normalized from the post-earnings spike, suggesting a shift from panic selling to more deliberate positioning.

The Fundamentals Behind The Drop – Capex Does It Again

Meta’s first-quarter 2026 results delivered a stark contrast between operational excellence and capital intensity concerns. The company reported revenue of approximately $56.3 billion, representing 33% year-over-year growth, the strongest expansion rate since 2021 and well above consensus expectations. Diluted earnings per share reached $10.44, crushing analyst estimates that had clustered around $6.70.

The advertising engine that powers Meta’s Family of Apps demonstrated remarkable strength across multiple dimensions. Ad impressions grew in the high-teens percentage range while price per ad climbed in the low double-digits, a combination that reflects both growing user engagement and improving monetization efficiency. Facebook video time increased roughly 8% quarter-over-quarter, marking the platform’s best sequential growth in years, while Reels consumption continued its upward trajectory across both Facebook and Instagram.

Operating margins remained robust at over 40%, and the company generated substantial free cash flow despite the elevated investment cycle. Daily active people across Meta’s platforms reached approximately 3.56 billion, slightly below the 3.62 billion consensus estimate but still representing meaningful absolute growth in an increasingly saturated global market.

The quarter’s controversy centered entirely on forward-looking capital allocation.

Meta raised its full-year 2026 capital expenditure guidance to a range of $125-145 billion, up from the previous $115-135 billion outlook. The company also disclosed approximately $107 billion in contractual infrastructure commitments tied to its AI and data center buildout, crystallizing what some analysts have characterized as a cumulative $200+ billion multi-year bet on artificial intelligence infrastructure.

This spending encompasses data center construction, networking equipment, custom silicon development for Meta’s in-house MTIA chips, and the computational resources required to train and deploy increasingly sophisticated AI models across Meta’s advertising, content recommendation, and consumer product surfaces.

Cost Discipline

Meta management has framed the accelerated AI investment as essential infrastructure for maintaining competitive advantages in ad targeting, content ranking, and generative AI applications. The company emphasized that millions of advertisers already utilize AI-powered creative tools and targeting optimizations, with AI-driven commerce and merchant tools contributing tens of billions in annualized gross merchandise value impact.

Unlike cloud infrastructure providers such as Amazon Web Services or Microsoft Azure, Meta does not sell its computational infrastructure to external customers. Returns on the AI investment must therefore materialize through higher advertising yield, improved user engagement, and the successful launch of AI-native consumer product, a monetization path that carries inherently different risk characteristics than traditional enterprise cloud businesses.

To partially offset the infrastructure spending surge, Meta announced approximately 8,000 job cuts, representing roughly 10% of its workforce. The company characterized the reductions as a continuation of its “Year of Efficiency” initiative, with headcount remaining roughly flat year-over-year as Meta shifts its labor composition toward higher-paid AI specialists while reducing roles in other functions.

The juxtaposition of aggressive capital spending and workforce reductions has generated mixed reactions. Some analysts view the combination as evidence of disciplined resource reallocation, investing heavily in strategic infrastructure while maintaining operating leverage through headcount optimization. Others interpret the layoffs as a concerning signal that Meta feels compelled to fund an “insatiable” AI spending plan through potentially destabilizing cost cuts.

The Megacap AI Arms Race

Meta’s spending, while dramatic in absolute terms, exists within a broader context of industry-wide AI infrastructure investment. Collectively, Google, Amazon, Microsoft, and Meta are projected to spend approximately $725 billion on capital expenditures in 2026, up roughly 77% year-over-year, with the vast majority directed toward AI-related data centers and computational resources.

This sector-wide escalation has helped normalize Meta’s individual commitment in the eyes of many market participants. Rather than viewing the company’s spending as an outlier gamble reminiscent of its metaverse investments, analysts increasingly frame it as table stakes for maintaining relevance in an AI-transformed technology landscape.

Research from S&P Global Market Intelligence characterized the quarter as demonstrating “clean beats across key lines” driven by robust advertising demand and margin expansion, while noting that the capex increase to $125-145 billion represents a “clouded near-term outlook” for free cash flow and capital returns.

The analysis emphasized, however, that fundamental business quality metrics such as revenue growth, engagement trends, and advertising pricing power, had strengthened rather than deteriorated, suggesting the stock weakness reflected discounting assumption changes rather than operational problems.

Evidence and Execution

Bulls point to tangible early evidence of AI monetization across Meta’s platforms. The company’s AI-powered ad targeting and creative tools have achieved widespread adoption among its advertiser base, with measurable improvements in campaign return on ad spend. Reels, which initially launched as a defensive response to TikTok, has evolved into a significant engagement and monetization driver, with AI-driven content recommendations credited for much of its success.

Video consumption across Meta’s platforms has accelerated markedly, with AI algorithms optimizing both content discovery and ad placement to drive higher user time-spent without degrading experience quality. The company’s commerce initiatives, including AI-assisted product discovery and merchant tools, have begun generating meaningful transaction volumes, though they remain small relative to core advertising revenue.

Bears counter that Meta’s AI infrastructure spending lacks the natural hedge provided by cloud businesses, where capital investments generate direct external revenue streams. If advertising growth rates decelerate due to macroeconomic headwinds, regulatory constraints on targeting capabilities, or competitive pressures, the payback period on AI investments could extend uncomfortably, pressuring valuation multiples and free cash flow generation for years.

The slight miss on daily active people metrics, 143.56 billion versus 3.62 billion expected, has fed concerns about platform saturation, particularly in developed markets where user growth has largely stalled. While Meta emphasizes that advertisers prioritize attention and conversion over raw user counts, sustained user growth shortfalls could eventually constrain the company’s ability to deliver the engagement increases necessary to justify its infrastructure investments.

What Next For Meta?

From a technical analysis perspective, Meta’s stock has formed what some chartists identify as a falling wedge pattern around the $610 support level, a formation that often precedes upward breakouts if accompanied by improving volume characteristics. Sell-side price targets remain broadly distributed but cluster in the $700-750 range, implying 15-25% upside from current levels if the bull case for AI monetization gains credibility.

The May recovery, modest though it has been, suggests markets are willing to give Meta’s management team the benefit of the doubt that the AI infrastructure buildout represents strategic necessity rather than undisciplined empire-building, and that the company’s formidable advertising franchise can generate the cash flows required to validate the investment over a multi-year horizon.