Why Adjusted EBITDA Can Make an AI Company Look More Profitable Than It Is
Adjusted EBITDA can be useful, but AI companies may add back depreciation, stock compensation, and other large costs. GAAP and non-GAAP can diverge sharply.
Adjusted EBITDA answers a narrower question than net income
The first step is to define the metric precisely because finance terms that sound intuitive often have specific accounting boundaries. Adjusted EBITDA is a management-defined performance lens, not the same thing as net income, and AI infrastructure can create enormous differences between the two. CoreWeave reported $1.51 billion of adjusted EBITDA in Q2 2026 while reporting a $626 million GAAP net loss in the same quarter. [1]
A useful analytical habit is to separate operating metrics from accounting statements. Operating metrics can be excellent leading indicators, but they often omit financing structure, depreciation, stock compensation, tax, working capital, or the capital needed to sustain growth.
Positive adjusted EBITDA can coexist with a large net loss
Labels are useful only after the underlying calculation is understood.
CoreWeave shows how large the gap can become
The current AI market provides unusually vivid evidence because companies are scaling revenue, compute, and capital commitments at the same time. Adjusted EBITDA is a management-defined performance lens, not the same thing as net income, and AI infrastructure can create enormous differences between the two. The reconciliation added back $1.393 billion of depreciation and amortization, $640 million of net interest expense, and $165 million of stock compensation. [2]
The second habit is to ask what happens when usage doubles. If revenue doubles while direct serving cost rises almost as fast, scale may improve the headline without creating much operating leverage. If cost grows much more slowly, the same growth can produce powerful margin expansion.
Non-cash expense does not mean non-economic expense
A dramatic growth rate can coexist with weak unit economics.
Depreciation is non-cash today but represents real infrastructure investment
The mechanism matters: the same headline number can imply very different economics depending on what sits above or below it in the financial statements. Adjusted EBITDA is a management-defined performance lens, not the same thing as net income, and AI infrastructure can create enormous differences between the two. SEC guidance says non-GAAP measures can be misleading when they remove normal recurring operating expenses necessary to run the business. [3]
A third distinction is timing. Accounting can spread some costs across years, recognize some revenue over contract periods, and exclude certain items from management-defined measures. Cash, however, moves when suppliers, employees, lenders, and infrastructure vendors are actually paid.
Capital structure can disappear from EBITDA
Cash and accrual accounting answer different timing questions.
Interest expense matters when AI growth is debt financed
AI intensifies the issue because model serving, infrastructure, research, and strategic financing introduce costs that ordinary software companies could often ignore. Adjusted EBITDA is a management-defined performance lens, not the same thing as net income, and AI infrastructure can create enormous differences between the two. The SEC also requires EBITDA and adjusted EBITDA to be reconciled to the most directly comparable GAAP measure rather than treated as audited profit. [4]
AI also makes capital structure part of product strategy. Companies with wealthy parents, strategic cloud partners, customer prepayments, or public-market access can finance expensive capacity years before a smaller competitor could. That can alter both market share and reported economics.
A profitability label is only as useful as its exclusions
AI scale magnifies small accounting assumptions into large valuation differences.
Stock compensation still transfers economic value
Comparisons are useful only when the underlying definitions match. Two companies can use the same label while measuring different economic realities. Adjusted EBITDA is a management-defined performance lens, not the same thing as net income, and AI infrastructure can create enormous differences between the two. Anthropic’s reported positive adjusted operating income excludes stock compensation and other major costs, reinforcing why the label attached to a profitability claim matters. [5]
Definitions become especially important in private markets because investors often receive operating metrics without a full public filing. ARR, adjusted operating income, or gross margin may be informative, but an outsider may not see every exclusion or balance-sheet obligation.
SEC guidance warns against misleading adjustments
For investors, the important question is how the metric connects to future cash generation rather than whether the headline number looks large. Adjusted EBITDA is a management-defined performance lens, not the same thing as net income, and AI infrastructure can create enormous differences between the two. CoreWeave reported $1.51 billion of adjusted EBITDA in Q2 2026 while reporting a $626 million GAAP net loss in the same quarter. [1]
The best comparison therefore follows the money from customer payment to gross profit, operating expense, interest, tax, capital expenditure, and finally free cash flow. A metric is useful to the extent that it helps explain one part of that chain without pretending to be the whole chain.
Anthropic shows the same accounting problem in a different business
Technology history repeatedly shows that growth metrics become less persuasive once markets mature and financing is no longer abundant. Adjusted EBITDA is a management-defined performance lens, not the same thing as net income, and AI infrastructure can create enormous differences between the two. The reconciliation added back $1.393 billion of depreciation and amortization, $640 million of net interest expense, and $165 million of stock compensation. [2]
Valuation adds a future-tense layer. Markets can rationally pay for growth before current profit exists, but the price ultimately assumes that future revenue will convert into margins and cash after all required investment. The more capital intensive the model, the harder that conversion becomes.
Investors should read the reconciliation before the headline
The durable interpretation is therefore the one that survives reconciliation to revenue, expense, cash flow, and capital requirements. Adjusted EBITDA is a management-defined performance lens, not the same thing as net income, and AI infrastructure can create enormous differences between the two. SEC guidance says non-GAAP measures can be misleading when they remove normal recurring operating expenses necessary to run the business. [3]
For CodeHistory, the larger historical point is that AI has not abolished finance. It has made old concepts—revenue quality, depreciation, operating leverage, dilution, cash flow, and cost of capital—more important because the sums involved are so much larger.
Works Cited
- 01
- 02CoreWeave Q2 2026 10-Q sec.gov
- 03
- 04Reuters — Anthropic Adjusted Profitability reuters.com
- 05MarketWatch — Anthropic Profitability Caveat marketwatch.com
CodeHistory is a living archive. Citations document the evidence used for this edition; later evidence may refine the account.
Submit a research lead