中美拟上市AI大模型公司一览:OpenAI、Anthropic最快2026年Q4上市,DeepSeek筹备A股挂牌
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Palantir CEO: Enterprises are dissatisfied with "cutting-edge labs" like OpenAI and Anthropic, which only pursue token maximization.
According to BlockBeats, on July 2nd, Palantir CEO Alex Karp, in an interview with CNBC's "Squawk Box," strongly criticized leading AI model companies, calling the way AI is sold "completely wrong." Karp emphasized that companies are already dissatisfied with "cutting-edge labs" like OpenAI and Anthropic, believing they only pursue token maximization, wasting companies' time and money while handing over proprietary value and IP. Karp stated that companies are "angry" and will commit to owning their own AI production resources rather than relying on third parties. On June 29th, Palantir partnered with Nvidia to deploy Nvidia Nemotron open AI models in sovereign environments, primarily serving the US government and critical infrastructure customers. The collaborative system reportedly integrates Nvidia AI technology with Palantir's AIP, Foundry, Ontology, and Apollo platforms, helping organizations train, customize, and deploy AI locally while maintaining complete control over data, intellectual property, and models.
Amazon AWS establishes a $1 billion AI FDE team to emulate the enterprise AI deployment models of OpenAI and Anthropic.
BlockBeats reported on June 30th that Amazon Web Services (AWS) announced the creation of a new Forward-Deployed Engineer (FDE) organization and will invest $1 billion in internal resources to help enterprise customers deploy customized AI agents and related systems. AWS stated that FDE engineers will be directly stationed at customer companies, responsible for building AI applications, optimizing workflows, and helping customers build the ability to independently develop and operate AI systems, rather than simply delivering and maintaining them. The FDE model was first promoted by Palantir and has rapidly gained popularity in recent years due to the growing demand for enterprise AI deployment. Previously, OpenAI and Anthropic also launched related FDE joint ventures, with sizes of approximately $4 billion and $1.5 billion respectively. Unlike the two companies, which formed joint ventures with private equity firms, AWS's $1 billion investment this time primarily comes from internal resources and is not an independent investment project. --------------------------------- Click the original link below to join the Beating · Lark AI news channel and monitor global AI hot topics and news 24/7.
A Ramp AI report shows that Anthropic's enterprise adoption rate has surpassed OpenAI's, with top companies' employees spending an average of $7,449 per month on AI.
According to Mars Finance, Ramp's Economic Lab released a new version of the Ramp AI Adoption Index report. Based on spending data analysis from over 70,000 US enterprise clients, Anthropic's enterprise AI adoption rate increased by 2.5 percentage points to 41%, officially surpassing OpenAI's slightly lower 39.5%, establishing its leading position in the commercial application field. The report focuses on analyzing the spending trends of leading companies that "deeply adopt AI." Data shows that the top 1% of companies spend as much as $7,449 per employee per month on AI, and this figure still achieved a 14.1% increase last month; in contrast, the top 10% of companies spend an average of $611 per employee per month, while the median company spends only $11.38 (approximately equal to the cost of a single basic subscription). In addition, the research points out that companies that deeply apply AI do not exhibit "vendor lock-in" and generally use multiple cutting-edge large models, open-source platforms, and vertical AI solutions simultaneously. Although companies are starting to try more cost-effective models (such as DeepSeek) when faced with cost pressures, overall AI spending is still on the rise.
Analysis: Tightening spending impacts growth expectations for OpenAI and Anthropic; the AI industry is beginning to shift towards a cost-efficiency era.
According to Odaily Odaily, as companies begin to reassess the return on investment in AI, the industry is shifting from a high-consumption "tokenmaxing" model to an efficiency-first approach, posing new growth constraints for large AI model vendors. Several companies have already begun to reduce or optimize model usage costs. For example, the CEO of AI startup Lindy stated that they have switched 100% of their traffic from Anthropic's Claude model to the lower-cost DeepSeek, expecting to save millions of dollars in expenses within months. This shift reflects a tightening of AI budgets for enterprises, with the token-maxing model of "unlimited use of model resources" gradually being replaced by cost control and ROI-oriented approaches. Some companies have even set tiered budgets for AI tool usage; for example, Uber sets monthly caps on internal AI spending. Analysts point out that as companies shift from "expanding usage" to "refined utilization," the high-speed growth model previously relied upon by OpenAI and Anthropic is facing challenges. Industry data still shows strong growth: Anthropic's annualized revenue is around $47 billion, while OpenAI's is close to $25 billion, but the market is beginning to focus on the sustainability of their growth. Meanwhile, model invocation methods are changing, with technologies like "model routing" emerging to replace high-end models with low-cost models for simple tasks, thus optimizing overall computing costs. Industry competition is also intensifying, with Microsoft, Amazon, and Google accelerating the release of low-cost AI models and enterprise-level tools, further squeezing price margins. Against the backdrop of more rational AI spending by enterprises, large model companies may face a situation where "expectations of slower growth" and "IPO window pressure" coexist. (CNBC)
AI giants like OpenAI and Anthropic are offering startups large amounts of free computing power in an effort to seize market share.
According to a report by the Wall Street Journal on July 7th, as reported by Mars Finance, AI companies such as OpenAI and Anthropic are offering substantial free computing power and discounts to startups to compete for enterprise customers. The report states that Silicon Valley startup founders are receiving computing credits, token usage limits, and auction-style discounts from AI model companies. Some early-stage companies have received over $3 million in cloud computing and token credits, approaching the median of seed funding in the US according to PitchBook. AI companies hope to acquire customers in the early stages of startups, making their tools an integral part of their business as these companies grow. Cursor offered a 75% discount until July 5th; Google Cloud offered up to $500,000 in cloud computing credits to some startups, along with early access to the Gemini model and, in some cases, support from DeepMind engineers. Microsoft and Amazon Web Services also offer special privileges to startups. OpenAI and Anthropic have recently been particularly focused on Y Combinator startups. In May, Sam Altman announced that OpenAI would offer $2 million in tokens to each startup participating in its accelerator program in exchange for equity. Around the same time, Anthropic increased its free token allocation to Y Combinator startups from $30,000 to $500,000, without requiring equity. OpenAI subsequently adjusted its offer, providing startups with $500,000 in free tokens, without requiring equity, and offering the option to exchange equity for an additional $1.5 million in tokens. These offers reflect the fierce competition among model providers for future large clients. Y Combinator runs four cohorts annually, with recent cohorts featuring approximately 200 companies each, meaning that OpenAI and Anthropic could potentially offer a combined $800 million in AI tokens over the next year. Christopher Acker, co-founder of SuperPenguin, stated, "The AI world is being driven by OpenAI and Anthropic because they are giving startups money to pay for usage costs."
Sources say OpenAI, Anthropic, and Google are offering hefty computing power subsidies to startups to compete for enterprise clients.
According to a report by Odaily Odaily, citing sources cited by The Wall Street Journal, OpenAI, Anthropic, and Google are offering startups hundreds of thousands of dollars worth of computing resources and other incentives to attract new enterprise customers. (Jinshi)