OpenAI's second-quarter sales grew only tepidly compared with rival Anthropic, according to an exclusive Wall Street Journal report — a data point that complicates the market narrative of unassailable OpenAI momentum in enterprise AI.

The WSJ's headline claim is narrow but significant: OpenAI's quarter-over-quarter revenue growth was modest, while Anthropic — the company behind the Claude model family — is scaling faster off a smaller base. The report does not publish absolute revenue figures for either company in the accessible summary, which limits how much can be verified independently. What is measured here is relative growth; what remains asserted, without disclosed methodology or sample detail in the available excerpt, is the precise gap between the two vendors.

For revenue teams evaluating AI tooling, the competitive dynamics between the two labs matter beyond bragging rights. Vendor trajectory affects pricing leverage, contract terms, and roadmap stability — the practical inputs procurement and RevOps leaders weigh when committing to multi-year deals. A vendor growing slowly relative to its chief rival may face pressure to discount aggressively or accelerate feature releases to defend share; a fast-scaling challenger often buys urgency in enterprise negotiations.

The comparison also lands amid intensifying enterprise competition. Anthropic has positioned Claude for business workloads, and OpenAI has pushed ChatGPT enterprise offerings hard. The WSJ's framing — "tepid growth compared with Anthropic" — suggests the gap in momentum, not necessarily in total revenue, given OpenAI's widely reported head start in consumer and enterprise adoption.

Caveats worth holding onto: quarterly sales snapshots capture one window, not a trend. Growth rates measured off different revenue bases are not directly comparable — a smaller company can post higher percentage growth while generating far less absolute cash. The WSJ excerpt does not state whether the figures reflect annualized run rate, booked revenue, or recognized revenue, distinctions that materially change interpretation.

The full WSJ report, based on non-public financial data, will carry more detail on the underlying numbers and how they were obtained.