OPENAI OpenAI, L.L.C. : Bullish and Bearish Analyst Opinions

OpenAI is not overvalued at $852 billion.

OpenAI is rumored to be preparing a new, highly capable model ("Spud") potentially focused on cybersecurity, following Anthropic's pattern of limiting release for powerful models. If true, this indicates OpenAI is close to or at parity with Anthropic's top-tier capabilities (Mythos), and the decision to withhold release raises questions about centralized control and the pacing of dangerous capability rollouts. WATCH for the official model release and its specified capabilities, as it will recalibrate the competitive landscape and the policy debate around AGI-level model deployment. The rumor is inaccurate, or the model's release is significantly delayed or its capabilities are overstated.

The speaker argues OpenAI's pivot (killing Sora, focusing compute on Spud, building a super app) is working and will reverse negative narratives. He is "bullish on OpenAI as a company, bullish on the roadmap" and believes doubters will be "sadly mistaken." The upcoming "Spud" model represents two years of research, with leaked image-generation capabilities showing a massive quality leap. Successful launch would demonstrate OpenAI's technical edge, especially against Anthropic's lack of multimodal capabilities, and validate its strategy and IPO potential. The implied direction is LONG based on the expectation of a fundamental turnaround, product superiority, and a catalytic model release that could drive sentiment and valuation. Spud fails to meet expectations, execution issues (data center buildouts, capital deployment) persist, or internal leadership turmoil derails the strategy.

Chamath ordered the IPO urgency: SpaceX first, then OpenAI and Anthropic must "file quickly, get out and just get the money." He believes trillions in new market cap will cause tech sector P/E multiples to converge downward toward non-tech P/Es. A flood of giant IPOs will compete for finite capital. The first issuers (SpaceX) will be consumed eagerly, but later ones risk poor reception as investor appetite fills and the market digests the AGI/ASI risk to all other software moats. Timing is critical. These three companies have the most urgent need for capital and the strongest stories. Delaying increases the risk of being caught in a capital crunch and a sector-wide multiple compression. The IPO window closes suddenly due to macro events (e.g., Iran war escalation) or a recession. AGI proof points fail to materialize, causing loss of investor faith in the narrative.

The speaker detailed how AI inference for leading models (OpenAI's GPT, Anthropic's Claude) is massively loss-making under current subscription plans, with power users burning thousands of dollars in compute on $200/month plans. He explicitly compared the funding frenzy and unsustainabile economics to the dot-com bubble. The fundamental business model is broken because competitive pressure forces models to burn exponentially more tokens for useful outputs, eroding hardware efficiency gains. The path to profitability via per-token pricing would crater demand and is untested. WATCH because the setup for a major sector dislocation is clear, but the timing of a bust is uncertain (akin to the NASDAQ doubling after 1998 before crashing in 2000). The upcoming IPOs of OpenAI and Anthropic could be pivotal events. A breakthrough in inference efficiency or a massive, sustained subsidy from vendors/governments could prolong the unsustainable model, deferring the reckoning.

Shares of OpenAI have "fallen out of favor" on the private secondary market, with investors pivoting to Anthropic. Demand is shifting because Anthropic has been the "big disrupter this year," and its valuation is less than half that of OpenAI, with anticipation it may catch up. This indicates a loss of momentum and relative overvaluation for OpenAI in private markets, while Anthropic is gaining investor favor due to its products (like Cowork) and perceived valuation gap. AVOID OpenAI (in private secondary markets) due to loss of investor demand and high relative valuation. WATCH Anthropic for its momentum and potential valuation catch-up. OpenAI regains product momentum or Anthropic's execution falters.

OpenAI is losing significantly more money than Anthropic, is projected to lose $315B between 2026-2029, and its recent $122B funding round includes contingent capital (e.g., from Amazon, SoftBank) that isn't straightforward cash. The financial fundamentals are weak compared to its key rival, and the headline valuation/funding figures are misleading, creating overvaluation risk. Based on disclosed financial projections and the structure of its latest raise, OpenAI presents a higher-risk, less attractive profile relative to peers. OpenAI could achieve Artificial General Intelligence (AGI), triggering massive contingent funding and invalidating the financial comparison.

ARK Invest participated in OpenAI's $122B funding round and will add its shares to ARKW and ARKF ETFs, serving as a "bridge from the private markets into the public markets." Wood calls AI "the biggest catalyst for innovation in history." Providing ETF access democratizes investment in a leading, high-value private company poised to benefit from this revolution. LONG due to direct investment, strategic positioning as a gateway for public investors, and alignment with a core, high-conviction technological shift. Extreme valuation ($852B), execution risk, and the illiquid nature of the holding within a liquid ETF structure.

Ejaaz said he is "bullish OpenAI after all of this" following the pivot to AGI deployment and world models. OpenAI is refocusing on core areas like LLMs, coding AI, and robotics after shutting down distractions like Sora, which could improve execution and competitiveness. LONG because strategic focus may lead to breakthrough products and market leadership in AGI. Continued lack of focus, cash burn, or strong competition from focused rivals like Anthropic.

The speaker lists OpenAI as a company that could benefit as agencies rip out Anthropic's technology, and later states that once the Pentagon gets used to using "OpenAI's technology in warfare," it won't be quick to remove it. OpenAI is positioned as a direct beneficiary of Anthropic's troubles and the early-stage nature of government AI adoption. Early incumbency in critical use cases (e.g., warfare) creates extreme customer stickiness. OpenAI has a clear pathway to capture significant, durable government contract revenue by replacing Anthropic and establishing itself as an essential vendor. Political backlash or ethical concerns specific to OpenAI's technology could block its government adoption.

The report states OpenAI's ad rollout on ChatGPT is intentionally slow, frustrating advertisers due to high commitments (~$250k/brand) and low user reach (only ~5% of daily mobile app users). However, some insiders see the caution as a sign of building a sustainable business, and Truist projects revenue growth from <$1B to >$5B by 2028. The company is prioritizing a careful, sustainable build of its ad business over a rapid monetization grab, which creates near-term uncertainty for advertiser adoption and revenue realization. WATCH due to the significant projected long-term revenue opportunity conflicting with near-term operational execution risks and advertiser frustration. The stock's reaction will hinge on the transition from pilot to scaled rollout. A faster-than-expected ramp in ad load and brand adoption could positively surprise. Conversely, prolonged slowness or poor advertiser ROI could jeopardize the multi-billion dollar revenue projection.

Vestager explicitly stated the need for multiple AI sources (European, U.S., Chinese, Indian) to avoid lock-in, and warned that if Anthropic and OpenAI become dominant like "the internet's," competition will be lost. Over-concentration in AI by a few private companies could lead to reduced innovation, higher costs, and increased regulatory scrutiny, making investments in these companies riskier. AVOID because the speaker implies that reliance on these players is detrimental, with a push for diversification and competition that may limit their growth or attract antitrust actions. Emergence of strong competitors, successful regulatory interventions, or technological breakthroughs that decentralize AI could break the thesis.

Nvidia, a dominant hardware provider with immense resources, is entering the AI model development space to directly compete with OpenAI. Nvidia's entry with a massive $26B investment in open-weight models introduces a powerful new competitor, which could erode OpenAI's market share and leadership position. The competitive landscape for AI models is intensifying significantly with Nvidia's entry, creating uncertainty for OpenAI's future dominance. It is prudent to avoid taking a position until the impact is clearer. OpenAI's first-mover advantage and established brand may be strong enough to withstand new competition. Nvidia's efforts may not be successful. (Note: OpenAI is a private company, so this is a conceptual trade idea).

The lunatic left that took over Twitter was Wormtongue to the World. Firing @Jack was the final straw. He was the last bulwark. Now Bret Taylor is chair of @OpenAI …

@Kevca6 @DaveShapi ya but if u try and buy it off the secondary pimps it's well bid --- huge traction / mimetics and openai user churn visible on app stores

@litcapital look the OpenAI IPO is going to be hot you gotta do what it takes

goodalexander (@goodalexander) Once I get back from the Sauna excited to vibe code some mass surveillance tools with gpt 5.4 codex Tweet Link

"OpenAI agreed to deploy its AI models within the Pentagon's defense network... The deal comes after the Pentagon declared Anthropic a supply chain risk." This is a direct government contract win for OpenAI and a regulatory moat being dug against competitors. Microsoft (MSFT), as the major backer of OpenAI, benefits from this entrenched relationship with the US military. LONG MSFT (proxy for OpenAI). Ethical backlash or technical failures in deployment.

Meyers calls OpenAI's valuation "science fiction" and states they will not be able to deliver on sales estimates to justify it. He suggests they may eventually need a government backstop/equity stake. If the leader of the AI hype cycle cannot justify its valuation and requires a bailout, the equity value for current investors (or proxies like MSFT) is at significant risk of dilution or write-down. AVOID OpenAI (and be cautious on its major backers) due to disconnect between valuation and fundamentals. OpenAI achieves a technological breakthrough that justifies the premium.

"We heard Sam Altman in a memo yesterday... He said that, look. We are interested in exploring classified work with the Pentagon, but we would like to for the government to abide by some of the same restrictions that Anthropic has been fighting for." OpenAI is attempting to walk a fine line—wanting the contracts but maintaining the "restrictions" that got Anthropic banned. This creates a binary outcome: either they capitulate to the "no guardrails" demand and win share, or they stand firm and get blacklisted like Anthropic. Watch for the outcome of OpenAI's negotiations; if they refuse to remove guardrails, Microsoft (MSFT) could face the same headwinds as Amazon/Google. OpenAI capitulates immediately, rendering the risk null.

SpaceX's timeline would "open the door for the company to beat out OpenAI and Anthropic to going public." First-mover advantage in the "Private Mega-Tech" asset class is critical. If SpaceX secures the bulk of available growth capital first, subsequent IPOs like OpenAI or Anthropic may face investor fatigue or tighter wallets. WATCH. This puts pressure on these firms to either accelerate their timelines or wait for capital reserves to replenish post-SpaceX. Investor appetite for AI/Space tech is insatiable, allowing all three to list successfully.

OpenAI's subscription growth is stalling. Google's Gemini 3 launch bump "faded fast" because it was seen as just a "better chatbot" without demonstrating sufficient agent capabilities. These companies are currently "winning the wrong war." The competition has shifted from answering questions to executing tasks. Until they prove dominance in agents, their chatbot leads are depreciating assets. NEUTRAL / WATCH. They successfully pivot (e.g., OpenAI Codex) and reclaim the narrative from challengers.

"Gemini Three... faded fast, arguably because it was still a better chatbot in a market that is already moving past chatbots." OpenAI's growth "has been stalling right at that inflection point." The market leaders of the previous cycle (Chatbots) are struggling to pivot effectively to the new cycle (Agents). A "great model launch isn't enough if you're winning the wrong war." This suggests potential stagnation for incumbents relying on chatbot dominance. Watch for signs of successful pivot to agents; currently, they are losing momentum to Anthropic and specialized tools. These companies have massive resources and could acquire or brute-force their way back to the lead.

The speaker agrees with Andrew Tate that "OpenClaw sets you up to some security risks" and notes that "giving OpenClaw root access to their entire life is a tough setup." They cite a specific example of a Meta security employee deleting their email history due to improper AI usage. While the productivity and cost benefits of AI agents are undeniable (replacing staff for $200/month), the "Second-Order Effect" is a massive increase in personal and corporate security vulnerabilities. Deep integration of AI into personal apps (WhatsApp, Wi-Fi) creates a "Skynet" scenario where privacy is totally compromised. Exercise extreme caution (Watch/Avoid) regarding AI applications that demand full system permissions or "root access" until security protocols mature. The productivity gains ($200 vs. human salary) may outweigh security concerns for the mass market, driving adoption regardless of risk.

Joe Kernen states he is "looking for a new chatbot" because ChatGPT is "pretty woke" and "it's not intelligence... they can't make the simplest leap." High-profile user dissatisfaction and churn indicate the "first mover" advantage is eroding. With Sorkin confirming Claude is technically superior, OpenAI faces a retention crisis among power users. AVOID. Sentiment is shifting to competitors. OpenAI releases a significantly improved model (GPT-5 equivalent) that recaptures the lead.

"Open Claw corporate plan... That's a trillion dollar market opportunity... businesses can use it and it's going to go [__] vertical." OpenAI (and by proxy, Microsoft) is moving to capture the enterprise market by integrating secure, agentic workflows directly into business operations (Slack, company flow). This creates a massive new revenue stream as every white-collar job incorporates these tools. LONG. Enterprise security breaches leading to bans on AI agents in corporate environments.

OpenAI dismantled its safety team, researchers are resigning citing "ethical concerns," and the company is pouring $125M into a PAC to block state regulation. The company is aggressively prioritizing speed and dominance (the "Facebook playbook" of ads and growth). While this drives short-term progress, the "internal civil war" and loss of key talent create significant reputational and operational tail risks. If a safety incident occurs, OpenAI will be the primary target for regulators. WATCH (High Regulatory & Execution Risk). Successful deregulation lobbying could allow them to compound their lead unhindered.

"The race among top AI companies... is only accelerating." Anthropic has only ~4,000 employees but has caused "billions and billions in disruption." Value is shifting from labor-heavy legacy firms to lean, capital-efficient AI model providers. These companies generate massive disruption with a fraction of the overhead. LONG. These are the engines of the disruption, capturing the value lost by the software and services sectors. Regulatory hurdles or rapid commoditization of the models themselves.

The market is "clearing out the old guard" to make room for new autonomous/AI-native companies. The pace of AI progress is accelerating. Things deemed impossible for AI are being achieved weeks later. This suggests the next generation of "billion-dollar companies" (like OpenAI and Anthropic) will capture the value lost by legacy tech. "One person, billion-dollar company" is now within sight due to AI leverage. These companies are currently private; investors must wait for IPOs to access them directly.

Both companies are described as having crossed an inflection point where AI is no longer just "curious" but "super useful" and profitable. These companies are currently compute-constrained. If they had twice the hardware, their revenue would quadruple. They are generating "profitable tokens," meaning the cost to produce the AI output is lower than the value they sell it for. Described as "$20 billion run rate companies" with accelerating growth and profitable revenues. These are private assets (hard to access) and face intense competition from open-source models.