OpenAI Miss Sparks AI Valuation Reckoning.

Mazen Al Sabbagh

— 9 min read
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TL;DR

  • OpenAI's Growth Miss: The Wall Street Journal reported OpenAI fell short of its internal revenue and user acquisition targets, prompting a Nasdaq decline and a Goldman Sachs warning on dotcom-era valuation parallels. (WSJ via Reuters, Goldman Sachs via Reuters)
  • Google's Pentagon Contract: Google formalized a classified AI agreement with the Department of Defense for "any lawful government purpose," hours after 600 employees, including DeepMind researchers, protested such engagements. (The Verge, Washington Post)
  • Musk v. Altman Opening Arguments: The trial commenced with Musk's counsel portraying a moral betrayal of OpenAI's mission, while OpenAI's team asserted Musk sought "the keys to the kingdom" and sued when denied. (CNBC, Reuters, NYT)
  • Ineffable Intelligence Seed Round: AlphaGo architect David Silver's new venture, Ineffable Intelligence, secured Europe's largest seed round at $1.1 billion on a $5.1 billion valuation, backed by Sequoia, Nvidia, and Google. (CNBC, TechCrunch)
  • Nasdaq Market Correction: The OpenAI revenue miss initiated a Tuesday market downturn, particularly affecting chip and cloud stocks, as Goldman Sachs highlighted a 25-year high in valuations dependent on long-term profit projections. (Reuters, TheStreet)

Lead Story: The OpenAI Reality Check and Its Market Implications

Monday's Wall Street Journal report confirming OpenAI's shortfall on internal user acquisition and revenue targets marks a critical inflection point. The company, which had targeted one billion weekly active ChatGPT users by late 2025, has missed these benchmarks. While still significant, revenue growth has not aligned with the trajectory projected during its last funding cycle. This divergence prompts internal scrutiny regarding the scale of its data center commitments, including the expansive $300 billion Stargate partnership.

By Tuesday, the implications extended beyond OpenAI. The Nasdaq Composite lagged, signaling broader investor reassessment of the AI boom's profitability. Oracle, with its Stargate exposure, saw a notable downturn. S&P 500 futures experienced a corresponding dip. The market's reaction underscores a recalibration: the era of valuing AI ambition over concrete returns may be ending.

Goldman Sachs subsequently amplified this sentiment. A Tuesday analyst note cautioned that the share of U.S. stock valuations predicated on profits beyond the next decade has reached a 25-year peak. This parallels the dotcom bubble. The implied risk is clear: AI's success could simultaneously disrupt the very companies whose long-term growth is currently priced into market multiples, rather than uniformly enhancing them.

The competitive landscape only exacerbates OpenAI's position. Anthropic's revenue trajectory, propelled by Claude Code and enterprise adoption, surged to an annualized $30 billion, securing a $40 billion commitment from Google. Concurrently, OpenAI's ChatGPT market share has slipped below 40%, while the GPT-5.5 API rollout remains without a firm timeline.

The timing of this revenue miss is also notable. It coincided with OpenAI and Microsoft announcing a restructuring of their partnership, eliminating Azure exclusivity. This move, framed as strategic liberation on Sunday, now appears more as an operational necessity. It allows OpenAI models to deploy across competing cloud infrastructures, including AWS, as confirmed by Amazon CEO Andy Jassy.

OpenAI's foundational strength—substantial cash reserves and a vast user base—remains. However, the pre-IPO narrative has shifted from one of unbridled growth to a demand for tangible financial performance. This shift is now reflected in market pricing, on the cusp of an earnings week where every major cloud provider will confront similar questions of AI investment justification.

In Other News

Google Signs Pentagon AI Deal, Overriding 600 Employee Protests. Google finalized a classified agreement with the U.S. Department of Defense, allowing the Pentagon to utilize its AI models for "any lawful government purpose," as reported by The Information on Tuesday. This agreement includes provisions for Google to adapt AI safety settings upon government request. The deal's timing is critical, occurring hours after over 600 Google employees, including senior DeepMind researchers, publicly urged CEO Sundar Pichai to reject such arrangements. Their concern centered on the inability to monitor AI use on air-gapped classified networks, risking deployment in mass surveillance or autonomous lethal systems. Gizmodo highlighted the employees' explicit rejection of "filling the gap left by Anthropic," which is involved in its own dispute with the Pentagon over similar terms. Google now joins OpenAI and xAI in securing broad military AI contracts. Alphabet stock registered a 1.7% gain on the news, preceding tomorrow's Q1 earnings report, where analysts anticipate $106.9 billion in revenue. (The Verge, CBS News, Business Insider, TipRanks)

Ineffable Intelligence Raises $1.1 Billion Before Writing a Line of Production Code. David Silver, the former head of reinforcement learning at Google DeepMind and the architect behind AlphaGo, concluded Europe's largest-ever seed round for his London-based startup, Ineffable Intelligence. The $1.1 billion round, co-led by Sequoia Capital and Lightspeed Venture Partners, valued the firm at $5.1 billion, with participation from Nvidia, Google, DST Global, Index Ventures, and the UK Sovereign AI Fund. Silver's foundational premise posits that current LLMs are constrained by a "supervised learning trap," reliant on human-generated data, thus limiting their capacity for novel discovery. Ineffable aims to develop reinforcement learning-based "superlearners" capable of continuous knowledge acquisition without human data input. Wired's coverage noted Silver's success in attracting top-tier AI researchers. This funding event reinforces a market pattern where researcher-led startups command exceptional valuations at their inception, exemplified by Ilya Sutskever's Safe Superintelligence ($32B), Noam Shazeer's Character.AI, and Dario Amodei's Anthropic. (Bloomberg, WIRED, Reuters)

Goldman Sachs: AI Valuations Mirror the Dotcom Bubble. Goldman Sachs analysts issued a Tuesday note asserting that fears concerning AI-driven disruption are compelling investors to re-evaluate their reliance on long-term profit projections for stock valuations. The proportion of U.S. equity value attributed to profits forecast beyond the next decade currently stands at a 25-year high, equivalent to the dotcom boom's peak. The core concern is not AI's failure, but its success in ways that may destabilize the very companies presently valued for sustained growth: software firms facing margin compression from AI commoditization, or incumbents whose competitive moats erode as AI lowers market entry barriers. This note coincides with OpenAI's revenue miss triggering a Nasdaq sell-off, and precedes a critical earnings week for Alphabet, Microsoft, Meta, and Amazon, where $600 billion in cumulative AI spending awaits validation. (Reuters, Economic Times)

Big Tech's AI Brain Drain Is Fueling the Next Generation of Startups. A Tuesday feature by CNBC documented the accelerating departure of senior talent from Meta, Google, OpenAI, and other AI incumbents into venture-backed startups. Former employees are securing hundreds of millions in funding within months of launching, driven by venture capital's eagerness to back individuals with frontier model development experience. This report parallels Ineffable Intelligence's record seed round and ongoing momentum at Cognition AI (Devin), which is reportedly raising at a $25 billion valuation after scaling ARR from $1 million to $73 million in under a year. The trend suggests that the talent bottleneck, once a competitive advantage for established labs, is rapidly diffusing, transferring critical knowledge into the startup ecosystem at an unprecedented rate. (CNBC)

X / Social Pulse

The Musk v. Altman trial dominated Tuesday's discourse. Opening arguments revealed two competing narratives: Musk's attorney framed the case as a moral indictment of OpenAI's broken promise to develop AI for humanity, while OpenAI's counsel posited that Musk sought total control and initiated the lawsuit after being denied it. The NYT separately noted that Musk's extensive social media commentary attacking Altman in the weeks preceding the trial is being compiled as evidence, with OpenAI arguing these public statements contradict his private conduct. The Guardian's midday assessment—"the personal pettiness of the Elon Musk v OpenAI trial"—captured the prevailing sentiment: a case with theoretically existential AI safety implications is, in practice, largely a battle of ego and financial leverage. Newsweek and BBC analyses contrasted Musk's core claim—that Altman transformed OpenAI into a "get-rich-quick scheme"—against Musk's own considerable financial interests in the verdict.

Regarding the Google-Pentagon deal, the immediate signing of the agreement after the employee letter generated sharp critique. Former Googlers from the 2018 Project Maven protests drew parallels, observing that Maven led to Google's withdrawal, whereas this time, management proceeded with the contract. The broader backlash against AI data center expansion also gained traction: the New York Times profiled growing local resistance "from Indiana to Idaho," and Tom's Hardware reported that four of seven town council members in a small Pennsylvania town resigned over proposed AI data center construction.

One to Watch

Earnings Week Will Define the AI Trade's Next Chapter. Five Magnificent Seven companies report earnings this week, collectively representing over $15 trillion in market capitalization. The stakes are elevated. Tuesday's market response indicates investors are no longer granting unconditional confidence to AI spending. The Nasdaq's underperformance, Goldman's dotcom-era comparison, and OpenAI's miss have shifted market sentiment from "invest now, validate later" to "demonstrate tangible returns."

Alphabet's report tomorrow will be closely watched for Q1 revenue projections of $106.9 billion (+19% YoY) and $2.63 EPS. Options traders are pricing in a 5.63% move for GOOGL. Key areas of focus include Google Cloud margins, the revenue impact of the Pentagon deal, and whether the substantial Anthropic investment yields strategic returns. Microsoft follows, with Azure AI growth (guided at 37-38%) as the primary metric. Meta's $55.5 billion revenue estimate will be scrutinized against its AI infrastructure expenditures and the performance of its recently introduced Muse/Spark models. Amazon concludes the week's critical reports.

Citigroup's revised $4 trillion AI market forecast provides the bull case, suggesting enterprise adoption of AI coding tools and automation is exceeding initial projections. Conversely, a StockTwits analysis noted that all four reporting companies show sharply declining free cash flow as the intensive AI infrastructure investment cycle impacts financial results. If these figures disappoint, the OpenAI miss could preface a broader market correction. If they deliver, the AI spending race will enter a new, more aggressive phase.

Quick Hits

  • Oracle has reduced its workforce by over 20,000 employees in an AI-driven restructuring, with India Today noting March 2026 recorded the highest tech layoff month in two years, totaling 45,800 cuts across the sector. Long-tenured employees were among those affected. (NDTV, India Today)
  • China's block of Meta's $2 billion Manus acquisition establishes a precedent that elevates risks for cross-border AI deals, with Reuters reporting potential chilling effects on future transactions involving Chinese-linked startups. (Reuters)
  • TSMC is increasing 2nm chip production capacity by 70% to address surging AI demand, as Taiwan lifts stock investment caps, a move Benzinga suggests could trigger $40 billion in new capital inflows. (Benzinga)
  • The bipartisan CHATBOT Act was introduced by Senators Cruz, Schatz, Curtis, and Schiff, mandating parental controls on AI chatbots for minors. This bill is part of a Tuesday flurry of AI legislation also addressing deepfakes and AI-enabled fraud. FISA Section 702, contentious due to AI surveillance implications, faces a Wednesday House vote. (Senate Commerce Committee, Axios, CNBC)
  • House Minority Leader Hakeem Jeffries indicated that safeguarding consumers from rising electricity costs linked to AI data centers would be a Democratic priority. Simultaneously, Maine's governor vetoed the nation's first statewide data center moratorium. (Politico, Democracy Now)

The converging narratives this week are not disparate; they articulate a singular, evolving story. OpenAI's missed targets foreground the chasm between AI's aspirational scale and its current revenue generation. Goldman Sachs quantifies the risk: valuations dependent on distant profits are at a 25-year high, mirroring the dotcom era. Google's Pentagon contract illustrates the imperative when revenue pressure meets government demand. The Musk-Altman trial scrutinizes whether AI's founding ethos can endure commercial gravity. And tomorrow's earnings will either validate the $600 billion investment or necessitate a strategic re-evaluation. The industry has spent three years building. This week, it receives its initial grading.

Sources

Lock in. M. mazen@thorterminal.com

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