Meta's $135 Billion Gamble: Inside the AI Spending Spree Driving the Largest Tech Layoffs Since 2023

Meta Platforms is reportedly weighing layoffs that could eliminate up to 20% of its global workforce — roughly 16,000 positions — in what would be the company's most sweeping restructuring since Mark Zuckerberg declared 2023 the "year of efficiency." The cuts, first reported by Reuters on March 14, come as the Facebook parent company prepares to nearly double its capital expenditure to as much as $135 billion in 2026, almost entirely to fund artificial intelligence infrastructure [1][2]. The juxtaposition is stark: a company posting record revenue of $201 billion while planning to shed thousands of the workers who helped generate it.

The Scale of What's Being Considered

Three people familiar with internal discussions told Reuters that Meta's top executives recently shared plans for the proposed layoffs with other senior leaders, instructing them to begin planning how to pare back their teams [1]. While the timing and final magnitude remain undecided, a 20% reduction of Meta's 78,865-person workforce (as of December 31, 2025) would eliminate approximately 15,800 jobs — surpassing the combined 21,000 positions cut during the 2022-2023 restructuring [3][4].

Meta has pushed back on the reporting. A company spokesperson told Reuters that the coverage amounted to "speculative reporting about theoretical approaches" [1]. But the report did not emerge in a vacuum. Meta had already cut roughly 1,500 employees from its Reality Labs division in January 2026, representing about 10% of that unit's workforce [5]. And in early 2025, Zuckerberg announced the termination of approximately 3,600 employees — about 5% of the company — explicitly targeting "low performers" [6].

The departments most likely to be affected in a broader restructuring are Reality Labs, legacy product teams, and divisions not directly aligned with Meta's newly established Superintelligence Labs (MSL) or its core AI infrastructure efforts [5][7].

The AI Paradox: Spend More, Employ Fewer

The central tension animating Meta's workforce planning is the collision between two of Zuckerberg's stated objectives: building what he calls "personal superintelligence" for billions of users, and leveraging AI to make human workers dramatically more productive — or, in many cases, unnecessary.

On the spending side, Meta's 2026 capital expenditure guidance of $115 billion to $135 billion represents a staggering escalation [8]. In 2025, the company spent $72.2 billion on capital projects, itself a record. Zuckerberg has committed to spending $600 billion on U.S. infrastructure through the end of 2028, primarily on the data centers, servers, and networking equipment required to train and deploy increasingly sophisticated AI models [9].

Source: Meta Platforms Investor Relations / Motley Fool

Data as of Jan 28, 2026CSV

On the efficiency side, Meta's internal data tells a story that should concern every mid-level knowledge worker in the technology industry. Since early 2025, output per engineer at Meta has risen 30%, driven largely by the adoption of AI coding agents. Among "power users" of these tools, output has increased 80% year-over-year [10]. Zuckerberg told investors in January 2026 that the company is seeing "projects that used to require big teams now be accomplished by a single, very talented person" [10].

He has been even more explicit about what this means for staffing. In public comments over the past year, Zuckerberg has said Meta is developing AI that can perform the work of mid-level engineers, predicting that "over time we'll get to the point where a lot of the code in our apps and including the AI that we generate is actually going to be built by AI engineers instead of people engineers" [11].

A Pattern Across Big Tech

Meta is not alone. The broader technology sector has shed approximately 55,775 jobs across 166 companies so far in 2026, following 244,851 tech layoffs in 2025 [12]. Amazon has been the most aggressive, cutting approximately 16,000 corporate positions in 2026 alone — more than half the industry total [12]. Block announced the elimination of over 4,000 jobs, nearly 40% of its workforce. Intel reduced its headcount from roughly 109,000 to around 75,000 during 2025 [12].

The common thread uniting these cuts is not financial distress but strategic reallocation. Companies posting record revenues are simultaneously reducing headcount, a dynamic that CNBC host Jim Cramer crystallized when he asked on air: "Why does Meta need 78,000 employees if AI makes them 10x more productive?" [13]

Source: Bureau of Labor Statistics (CES5000000001)

Data as of Mar 15, 2026CSV

The data from the Bureau of Labor Statistics underscores this trend. Employment in the U.S. information sector — which includes technology, media, and telecommunications — has declined steadily from a peak of approximately 3,115,000 jobs in November 2022 to 2,812,000 in February 2026, a loss of more than 300,000 positions even as the broader economy remains near full employment [14].

The Reality Labs Reckoning

A significant portion of the restructuring already underway at Meta involves its Reality Labs division, the unit responsible for virtual reality headsets, the metaverse, and increasingly, AI-powered wearable devices like the Ray-Ban Meta smart glasses.

Reality Labs has accumulated $73 billion in cumulative losses since its inception [5]. In 2025 alone, the division lost $19.2 billion — an 8% increase from the $17.7 billion loss posted in 2024 [15]. Zuckerberg told executives to cut up to 30% of Reality Labs spending, halt some projects, and redirect resources [16]. While Meta's CFO Susan Li said 2026 would "likely be the peak" of Reality Labs losses before a gradual decline, the division remains a massive financial drain.

The strategic pivot is visible: VR headset sales declined in 2025, while Meta's Ray-Ban smart glasses saw sales more than triple year-over-year [16]. The company is betting that AI-powered wearables — not the metaverse — represent the next computing platform, and it is restructuring its workforce accordingly.

Financial Strength Masks a Deeper Shift

What makes Meta's situation unusual is that the potential layoffs come during a period of exceptional financial performance, not crisis. The company reported Q4 2025 revenue of $59.89 billion, a 24% year-over-year increase, and net income of $22.77 billion [17]. Full-year 2025 revenue reached $200.97 billion, also up 22% [17].

But costs are rising sharply. Total expenses for 2025 were $117.69 billion, a 24% year-over-year increase [17]. And with capital expenditure nearly doubling in 2026, Meta's leadership appears to have concluded that maintaining current headcount while scaling AI spending to over $100 billion annually is unsustainable — even for a company generating over $200 billion in revenue.

Wall Street has largely endorsed this approach. When Meta announced its $115-$135 billion capex guidance in January 2026, investors responded positively, with analysts framing it as a commitment to AI leadership [8]. The March layoff reports, by contrast, sent META shares down 3.83% [18].

What Happens to 16,000 Workers?

The human cost of these calculations is significant. If Meta proceeds with cuts approaching 20%, it would mark the third major round of layoffs in less than four years at a company that employed over 87,000 people at its peak in September 2022 [3].

Meta's earlier restructurings carried a distinct narrative: the company had over-hired during the pandemic and needed to right-size. The 2022-2023 layoffs, totaling roughly 21,000 positions, reduced headcount to about 66,000 before the company began growing again, reaching 78,865 by the end of 2025 [4][17].

The 2026 calculus is different. This is not a correction for past excess but a forward-looking bet that AI will render a substantial portion of the current workforce redundant — a bet that Meta's own internal productivity data appears to support. The company's new performance review system, Checkpoint, explicitly rewards output over effort and has already been used to identify and exit "low performers" at an accelerated rate [6][19].

For the technology industry's workforce, Meta's decision will likely prove directional. If a company with $201 billion in revenue and 24% growth rates concludes it needs 20% fewer humans, the implications for the broader sector — where dozens of companies are deploying the same AI coding and automation tools — are profound.

The Bigger Picture

The potential layoffs at Meta sit at the intersection of several forces reshaping the global economy: the rapid deployment of AI tools that genuinely increase worker productivity, the astronomical capital costs of building AI infrastructure, and the willingness of corporate leadership to redistribute the gains from automation away from labor and toward capital investment.

The broader economic context adds urgency. The U.S.-Iran conflict that began on February 28 has sent oil prices surging past $100 per barrel and introduced significant uncertainty into global markets. Technology companies, which had been insulated from the worst effects of the energy crisis, now face the compounding pressures of rising operational costs and a potentially slowing advertising market if the conflict drags on.

Meta's decision — still reportedly under deliberation — will be watched closely not just as a corporate restructuring but as an early signal of how the AI era will redistribute employment across the economy's most profitable companies. The paradox is now clear: the companies building the AI future may need far fewer humans to do it.