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Meta’s filings do not prove that it is already more dilutive than Alphabet on a conventional share-count basis. Alphabet reported higher 2025 stock-based compensation, while both companies repurchased large quantities of stock. Meta does present the sharper near-term economic-risk case because it expects a very large increase in 2026 capital spending, including finance-lease principal, to support artificial-intelligence infrastructure and its Meta Superintelligence Labs. That is a management forecast, not evidence that the spending will destroy shareholder value.

To compare the companies fairly, separate two mechanisms: ownership dilution from equity compensation and share issuance, and economic dilution when investment, depreciation, or operating costs grow faster than the profits those investments generate.

Two different kinds of dilution

Ownership dilution changes each share’s claim

Ownership dilution occurs when a company issues shares for employee compensation, acquisitions, or other purposes and does not offset those shares with enough repurchases. Each existing share then represents a smaller percentage of the company’s equity or voting power.

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Stock-based compensation (SBC) is an expense recognized in the income statement as awards vest. It is not itself a count of shares issued during the year. A complete analysis must consider new shares delivered, shares withheld to cover employee taxes, options exercised, and shares repurchased and retired. The practical relationship is:

net share effect = shares issued − shares withheld − shares repurchased

That calculation must include every listed share class. Alphabet has Class A, Class B, and Class C shares with different voting rights, so total shares and voting control are related but not interchangeable.

Economic dilution can happen without issuing shares

A company can avoid net share-count growth and still dilute earnings economically. If it spends heavily on servers, data centers, networking, energy, leases, and AI staff before those assets produce enough incremental profit, depreciation and operating costs can suppress margins and earnings per share. This is the central risk in the current AI investment cycle.

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Economic dilution is therefore a return-on-investment question. It asks whether additional revenue, cash flow, and durable competitive advantage eventually exceed the cost of the capital and operating capacity being added. The 2025 filings do not provide a matched, causal measure showing how much AI spending generated revenue for either company.

What the 2025 equity figures actually show

The companies’ reported SBC and buyback figures point in different directions. Meta’s SBC expense was lower than Alphabet’s, but that comparison alone cannot establish which company created more net dilution.

Rank #2
Measure (2025) Meta Platforms Alphabet
Share-based compensation expense $20.427 billion $24.953 billion
Shares repurchased and retired 40 million Class A shares for $26.264 billion 240 million shares for $45.4 billion
Other equity-award information $54.81 billion of unrecognized restricted-stock-unit expense, expected to be recognized over approximately three years Comparable unrecognized-award figure not stated in the cited filing passages
What the figures establish Large ongoing equity-award expense and substantial repurchases Higher reported SBC and larger reported share retirements

Meta’s figures come from its 2025 Form 10-K. The filing warns that issuing significant equity to attract or retain employees can create additional compensation expense and dilution. Its $54.81 billion of unrecognized RSU expense represents future accounting recognition over a weighted-average period of about three years; it is not a promise that exactly that amount of stock will be issued.

Alphabet’s $24.953 billion of 2025 SBC and $45.4 billion of repurchases are reported in its 2025 Form 10-K. Alphabet’s repurchase figure covers 240 million shares retired during the year, but the amount spent and the number of shares retired do not reveal the full gross issuance associated with employee awards.

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Why SBC expense is not a dilution ranking

SBC affects reported profit, but the resulting ownership effect depends on award design and subsequent transactions. A company may issue shares when restricted units vest, withhold some shares for taxes, and repurchase additional shares. Repurchases can offset all, part, or more than the shares issued in a period. Timing also matters: a buyback at a high share price retires fewer shares per dollar than a buyback at a lower price.

Alphabet reported 5,822 million Class A, 837 million Class B, and 5,438 million Class C shares outstanding on January 28, 2026. Those classes carry different voting rights, so a simple total-share comparison cannot answer whether economic ownership and voting control changed by the same amount.

For Meta, the cited 2025 filing reports 40 million Class A shares repurchased and retired, but the SBC expense figure does not disclose a one-for-one share issuance number. Consequently, neither company’s reported SBC expense divided by its buyback dollars produces a valid net-dilution measure.

Capital spending is where Meta’s risk case becomes more serious

Meta spent $72.22 billion in 2025 on capital expenditures, including principal payments on finance leases. Alphabet reported $91.4 billion of 2025 capital expenditures, primarily for technical infrastructure.

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Capital-investment measure Meta Platforms Alphabet
2025 reported amount $72.22 billion, including finance-lease principal $91.4 billion
2026 statement Guidance of $115 billion to $135 billion, including finance-lease principal Investment in technical infrastructure expected to increase significantly relative to 2025; no numerical range stated in the cited 2025 Form 10-K passages
Stated investment drivers Meta Superintelligence Labs and the core business Servers, network equipment, data centers, and other technical infrastructure

Meta’s year-end results release says: “We anticipate 2026 capital expenditures, including principal payments on finance leases, to be in the range of $115-135 billion, with year-over-year growth driven by increased investment to support our Meta Superintelligence Labs efforts and core business.” The full release is available through this SEC exhibit.

Using Meta’s reported 2025 amount as the base, the low end of the guidance is about 59% higher and the high end about 87% higher. Those percentages are arithmetic comparisons, not an independent forecast. The range also includes finance-lease principal, so it should not be compared with a definition of Alphabet’s capex that excludes an equivalent item unless the accounting scopes are aligned.

Alphabet’s filing gives no directly comparable numerical 2026 range in the cited passages. It does state that technical-infrastructure investment will increase significantly and identifies higher depreciation, energy, equipment, and network-capacity costs as consequences of operating that infrastructure. The absence of a number does not mean Alphabet’s spending is small; it means the reviewed disclosure does not support a precise year-over-year comparison.

How AI investment can dilute earnings economically

Depreciation and infrastructure utilization

Servers and data centers are capitalized and then depreciated over their useful lives. If demand or monetization develops more slowly than expected, depreciation remains while the equipment produces less revenue than planned. Alphabet explicitly flags higher depreciation and related infrastructure costs as a consequence of its build-out.

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Energy, networking, and lease commitments

AI workloads require expensive power, networking capacity, and specialized equipment. Finance leases can create principal payments in the capital-expenditure measure while also adding contractual obligations. Meta’s guidance includes finance-lease principal, making the cash commitment visible in the headline range. The economic burden still depends on utilization and the cash generated by the resulting services.

Competition and changing monetization

Alphabet says AI features may be monetized differently from historical offerings and could affect revenue growth and margin trends. It also identifies increasing competition and infrastructure costs. That is a warning about execution and pricing, not evidence that Alphabet’s AI strategy has failed.

Meta’s investment rationale is similarly uncertain. Management expects 2026 operating income to exceed 2025 operating income despite the spending step-up, but that is a forecast. It should be tested against later reported revenue, operating margin, free cash flow, and per-share results rather than treated as an established outcome.

Can Meta fund the spending without a financing crisis?

Meta reported $81.59 billion of cash, cash equivalents, and marketable securities at the end of 2025, $60.46 billion of net income, and $23.49 of diluted earnings per share. It also paid $5.32 billion in dividends and dividend equivalents and repurchased $26.264 billion of Class A shares. These figures show substantial existing resources, but they do not prove that every future AI investment will earn an adequate return.

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Meta states that available funds and expected cash flows should cover operating needs, investment commitments, and shareholder returns for the foreseeable future. That is management’s assessment, not a guarantee. Actual capacity will depend on advertising demand, margins, working capital, debt and lease obligations, supplier commitments, and the pace at which infrastructure becomes productive.

The cited material does not provide a directly matched Alphabet liquidity-and-commitments table for this comparison. Avoid inferring that Alphabet is either safer or more exposed from capex alone; its ability to absorb higher infrastructure spending must be evaluated with its own cash flow, balance sheet, commitments, and return data.

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A practical framework for comparing Meta and Alphabet

Investors can update the comparison each quarter with the same five checks:

  1. Measure equity compensation. Track SBC expense, unrecognized awards, award vesting, and the shares delivered or withheld.
  2. Reconcile share counts. Compare beginning and ending shares for every class, then account for repurchases and retirements. Keep Alphabet’s Class A, B, and C voting rights separate from economic share totals.
  3. Normalize capital spending. Check whether reported capex includes finance-lease principal, and compare the same period and accounting scope for both companies.
  4. Test funding capacity. Review operating cash flow, cash and marketable securities, debt, lease liabilities, contractual commitments, dividends, and buybacks together.
  5. Demand return evidence. Look for incremental revenue, operating income, free cash flow, and per-share growth that can reasonably be connected to AI investment. Do not treat total company growth as proof that a particular AI program paid off.

This framework prevents a common error: declaring a winner from one prominent number. SBC expense measures accounting cost; buybacks measure retirements; capex measures investment under a stated definition; none alone measures shareholder value creation.

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So, is Meta more dangerous than Alphabet?

On conventional ownership dilution, the available 2025 figures do not establish that Meta is more dangerous. Alphabet reported the higher SBC expense, and its 240 million-share retirement exceeded Meta’s reported 40 million Class A repurchases. Without gross issuance, tax withholding, and complete beginning-to-ending share reconciliations, those numbers cannot produce a definitive net-dilution ranking.

On economic dilution risk, Meta has the more visibly aggressive near-term spending plan: a 2026 capex range of $115 billion to $135 billion, versus $72.22 billion in 2025. That makes Meta a credible higher-risk case if AI infrastructure, staffing, and leases grow faster than monetization. Alphabet also faces a significant infrastructure increase, higher depreciation and energy costs, competition, and uncertainty over how AI features will be monetized, but its cited filing does not provide a comparable 2026 dollar range.

The defensible conclusion is therefore conditional: Meta appears more exposed to an immediate investment-ramp risk, not proven to be more dilutive overall. The ranking will depend on future share counts, cash generation, margins, utilization, and the returns each company earns on its AI commitments.

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