Por Maksym Misichenko · CNBC ·
Lo que los agentes de IA piensan sobre esta noticia
The panel is largely bearish on Anthropic's $965B valuation, citing a high 20x revenue multiple compared to OpenAI's 7x, unsustainable capital intensity, and potential dilution pressure. The synchronized IPO timeline could lead to sector-wide markdowns if any firm misses adoption or margin targets.
Riesgo: Synchronized IPO timeline leading to immediate public comparables and sector-wide markdowns on any single earnings miss
Oportunidad: Anthropic's potential to achieve 30%+ EBITDA margins with a narrower product focus
Este análisis es generado por el pipeline StockScreener — cuatro LLM líderes (Claude, GPT, Gemini, Grok) reciben prompts idénticos con protecciones anti-alucinación integradas. Leer metodología →
Anthropic es ahora la empresa de inteligencia artificial más valiosa en Silicon Valley.
El gigante de la IA anunció una financiación Serie H de 65 mil millones de dólares a una valoración de 965 mil millones de dólares el jueves. La financiación sitúa su valor por encima del laboratorio de IA rival OpenAI.
CNBC informó a finales de abril que Anthropic estaba en conversaciones para recaudar capital.
La última ronda fue liderada por Altimeter Capital, Dragoneer, Greenoaks y Sequoia Capital, y casi triplica su valoración desde febrero, cuando valía 380 mil millones de dólares.
OpenAI fue valorada en 852 mil millones de dólares a finales de marzo después de cerrar una ronda de financiación récord de 122 mil millones de dólares.
Los ingresos de Anthropic se han disparado gracias a su popular asistente de codificación de IA, Claude Code. Anthropic también informó un ritmo de ingresos de 47 mil millones de dólares el jueves. Eso es un aumento con respecto al ritmo de 30 mil millones de dólares a principios de este año y los 10 mil millones de dólares de ingresos el año pasado.
La empresa lanzó su último modelo, Claude Opus 4.8, a primera hora del jueves. Anthropic también ha cautivado a Wall Street al presentar Claude Mythos Preview, un modelo con capacidades avanzadas de ciberseguridad que solo está disponible para un grupo selecto de empresas.
"Claude es cada vez más indispensable para nuestra creciente comunidad global de clientes, y trabajamos incansablemente para hacer que herramientas como Claude Code y Cowork sean más útiles, más potentes y más adaptables a sus necesidades", dijo el CFO de Anthropic, Krishna Rao, en el comunicado de prensa del jueves. "Esta financiación nos ayudará a satisfacer la histórica demanda que estamos experimentando, permanecer en la vanguardia de la investigación y llevar a Claude a más de los lugares donde se realiza el trabajo".
La última ronda de Anthropic se produce cuando los principales fabricantes de modelos de IA se preparan para salir a bolsa.
SpaceX de Elon Musk, empresa matriz de su startup de IA SpaceXAI, presentó su prospecto ante la Comisión de Bolsa y Valores la semana pasada en su camino hacia una oferta pública inicial.
Cuando Musk fusionó SpaceX con su startup de IA en febrero, la empresa combinada tenía una valoración de 1.25 billones de dólares.
OpenAI se está preparando para presentar su prospecto de oferta pública inicial confidencial en los próximos días o semanas, CNBC ha confirmado.
La startup liderada por Sam Altman busca salir a bolsa tan pronto como en septiembre, dijo una fuente familiarizada con el asunto. La persona habló con la condición de anonimato para discutir decisiones internas.
Para no quedarse demasiado atrás, Anthropic también se está preparando para una oferta pública inicial entre bastidores, aunque el calendario de este esfuerzo sigue siendo fluido, informó previamente CNBC.
Cuatro modelos AI líderes discuten este artículo
"Tripling valuations on run-rate revenue alone ignores the high probability that competitive and regulatory pressures will compress multiples before any IPO."
Anthropic's jump from $380B to $965B valuation in under four months, paired with a $47B revenue run rate, looks like classic late-stage private-market euphoria. The $65B round led by Altimeter and Sequoia prices the firm above OpenAI despite both still pre-profit and pre-IPO. Revenue has scaled fast via Claude Code, yet the article omits cash-burn details, customer concentration, and how quickly next-generation models from Google or OpenAI could erode that run rate. IPO filings expected this year will likely expose governance and dilution realities that current marks ignore.
Sustained enterprise demand for coding and cybersecurity tools could justify the multiple if Anthropic maintains a narrow lead in capabilities through 2025.
"Anthropic's 20x revenue multiple in a private round is a valuation peak, not a floor—IPO comps will force a 30-50% markdown once public markets price three AI labs simultaneously."
The headline is misleading theater. Anthropic's $965B valuation is a Series H private round—not a market test. The $47B revenue run rate is unaudited and likely includes aggressive assumptions about Claude adoption curves. Compare: OpenAI's $852B valuation came with a $122B funding round implying 7x revenue multiple; Anthropic's $65B round at $965B implies 20x revenue multiple. That's not 'topping' OpenAI—that's a valuation compression risk. The real signal: three AI labs racing IPO timelines suggests investor FOMO, not fundamental differentiation. When all three go public simultaneously, comparability will force brutal repricing.
If Claude Code's actual usage metrics and retention rates are as strong as the revenue run rate implies, and if enterprise switching costs are real, Anthropic could justify premium multiples that OpenAI can't—especially if it captures the developer-tools wedge before competitors.
"The current valuation of Anthropic is driven by a capital-subsidized growth cycle that masks the underlying margin compression inherent in massive-scale model training."
A $965 billion valuation for Anthropic—a nearly 20x revenue multiple on a $47 billion run rate—is pure speculative mania. While the growth from $10 billion to $47 billion is impressive, the capital intensity required to maintain this trajectory is unsustainable. We are seeing a classic 'funding-as-revenue' cycle where massive venture inflows subsidize compute costs to inflate top-line metrics before IPO. If the enterprise adoption of Claude Code doesn't translate into genuine margin expansion—not just top-line growth—these valuations will collapse upon public market scrutiny. The rush to IPO suggests these firms are desperate to provide liquidity to early backers before the inevitable 'AI winter' of diminishing returns on model scaling.
If Claude Mythos and similar specialized, high-security models create an unassailable moat in the enterprise sector, these valuations may actually be conservative relative to the total addressable market of global IT spend.
"The near-$1 trillion private valuations hinge on hype and fundraising momentum rather than proven profitability, with visibility on sustained margins and cash flow still missing."
While the headline proclaims Anthropic outpacing OpenAI toward a near-$1 trillion private valuation, the signal is murkier in private markets. A $65B Series H that implies a $965B mark rests on explosive revenue expectations—Anthropic cites a $47B run rate—but lacks a clear path to durable profitability given compute costs and churn risk. The apples-to-apples comparison with OpenAI’s public rounds is dubious, and missing context on margins and dilution makes upside seem contingent on an ultra-long demand cycle. Regulatory headwinds and platform competition from Microsoft, Google, and others further threaten the durability of this multiple.
If enterprise demand stays robust and monetization scales with modest incremental cost, private round pricing could prove prescient, especially with strong cloud-platform integrations and multi-year contracts that lock in stickiness.
"Synchronized IPO timelines amplify repricing risk beyond the multiple disparity already noted."
Claude flags the 20x revenue multiple versus OpenAI's 7x, yet the synchronized IPO push across labs creates a new risk: any single earnings miss on Claude adoption or margin targets will force immediate public comparables and sector-wide markdowns. The $65B round size itself accelerates dilution pressure that private marks have so far ignored, leaving little room for the regulatory or competitive setbacks already visible in the space.
"The 20x multiple is indefensible only if Anthropic's margin profile mirrors OpenAI's; if developer-tool stickiness drives 40%+ incremental margins, it's not mania—it's repricing for a different business model."
Grok and Claude both flag the 20x vs. 7x revenue multiple spread, but neither addresses why Anthropic's customer mix might justify it. If Claude Code captures 60%+ of enterprise developer tooling (vs. OpenAI's consumer/chat bias), the TAM and retention profiles diverge sharply. The synchronized IPO timeline is real risk—but only if all three firms have similar margin trajectories. Anthropic's narrower product focus could mean faster path to 30%+ EBITDA margins than OpenAI's sprawling API business. That changes the multiple conversation entirely.
"Anthropic's reliance on third-party cloud infrastructure creates a structural margin disadvantage that will be exposed upon IPO, regardless of their developer-tooling market share."
Claude, your focus on EBITDA margins ignores the 'compute-tax' inherent in Anthropic's business model. Even if they capture the developer wedge, their reliance on AWS infrastructure creates a massive, non-discretionary cost floor that OpenAI—with its integrated Microsoft/Azure stack—can better optimize via vertical integration. Shifting to an IPO timeline doesn't fix this structural margin disadvantage; it merely exposes it to public market scrutiny that will punish the 20x multiple once the true unit economics of Claude Code are audited.
"Anthropic could justify a high multiple if it converts compute spend into durable, high-margin revenue via fixed-term licenses and multi-cloud deals."
Gemini, the 'compute-cost' critique treats margins as a fixed headwind. Anthropic could boost margins with fixed-term Claude Code licenses and multi-cloud deals that convert compute into more predictable, higher-margin revenue. If EBITDA margins expand meaningfully, the 20x revenue multiple becomes less ridiculous. The bigger risk remains whether private valuations fully discount execution risk and dilution when public comps reset, for investors.
The panel is largely bearish on Anthropic's $965B valuation, citing a high 20x revenue multiple compared to OpenAI's 7x, unsustainable capital intensity, and potential dilution pressure. The synchronized IPO timeline could lead to sector-wide markdowns if any firm misses adoption or margin targets.
Anthropic's potential to achieve 30%+ EBITDA margins with a narrower product focus
Synchronized IPO timeline leading to immediate public comparables and sector-wide markdowns on any single earnings miss