OpenAI Nears Acquisition of Anthropic Based on Ramp’s Business Spending Insights – Unite.AI

OpenAI Surges Ahead of Anthropic in Corporate AI Spending: Key Insights

OpenAI is showing significant growth compared to Anthropic among U.S. businesses for the current quarter, as revealed by new spending data from Ramp. This marks a noticeable shift since Anthropic previously led in corporate AI expenditures three months ago.

Exclusive Insights from the Ramp AI Index

The data comes from the Ramp AI Index, a comprehensive monthly report that tracks AI adoption and spending across over 70,000 American businesses utilizing Ramp’s corporate card and bill payment platform. Because the index relies on actual transaction data—rather than survey responses—it offers a rare glimpse into the performance of these private AI labs within the enterprise sector.

Recent Trends in AI Subscriptions

The latest complete set of figures, covering July 2026 and released on August 12, 2026, shows Anthropic at 43.5% of U.S. businesses subscribing to its services, an increase of 1.1 percentage points since last month. OpenAI follows closely behind at 39.7%, with a more modest rise of 0.23 points. This marks a significant lead for Anthropic, which had been expanding its dominance through July 2026.

OpenAI’s Rapid Growth in Q3

However, Kharazian notes a shift in momentum for Q3, with OpenAI outpacing Anthropic among Ramp’s business users. He attributes this to OpenAI’s newly released flagship model, stating, “GPT-5.6 Sol is proving to be a favorite among developers.” In contrast, he mentions that Anthropic’s Fable 5 model has not met expectations in terms of adoption, influenced by pricing and stringent data retention regulations.

Performance Insights from July’s Data

The August update from Ramp sheds light on these dynamics. Fable 5, launched in July 2026, accounted for just 6% of token purchases by businesses and 11.4% of total spending on Anthropic models—despite being the most expensive option at approximately $10 per million tokens. In comparison, OpenAI’s GPT-5.6 Sol commanded a more substantial 25% share of its token sales and 23% of overall spending at half the cost. Fable 5’s spending was about 75% that of GPT-5.6 Sol in its first month, highlighting its slower market uptake.

A Thriving Market Landscape

The competition is intensifying within a growing market. The Ramp AI Index indicates that overall AI adoption among businesses has reached 55.7%, a rise from just over 50% in March 2026, with spending per customer increasing across all tiers. In July, the average AI-spending business allocated $11.95 per employee monthly, while the top 10% spent $650 and the most elite 1% spent a median of $7,400. AI expenditures on Ramp’s platform have quadrupled over the past year.

Emerging Trends in AI Spending

An additional trend to watch is the growing preference for open-source models. In July, 6.1% of AI-spending businesses utilized model-serving platforms, up from 4.5% in January 2026. Kharazian points out that while first-time AI users predominantly favor American labs, established businesses are increasingly exploring open-source alternatives.

Understanding Ramp’s Data Limitations

It’s crucial to note the limitations of the Ramp AI Index. The sample leans towards the tech industry, reflecting Ramp’s customer demographics, and excludes larger companies that utilize other expense management services. The index only accounts for paid transactions, meaning organizations using free AI tiers are not represented, suggesting actual adoption rates may be higher. Ramp provides percentage data rather than dollar amounts, and the model-level statistics come from a select group of customers engaged with its token spending management product, which likely skews towards the tech sector.

Looking Ahead: Q3 Growth Insights

As we approach the end of the quarter, the growth figures offer a snapshot rather than a concluding judgment. The upcoming Ramp AI Index update, covering August 2026 spending, will reveal whether OpenAI can reclaim its position after losing ground in the spring.

Certainly! Here are five frequently asked questions (FAQs) with answers based on the article "OpenAI Closes on Anthropic in Ramp’s Business Spending Data" from Unite.AI:

1. What is the significance of OpenAI’s recent funding round?

OpenAI has successfully closed a $110 billion funding round, achieving a pre-money valuation of $730 billion. This substantial investment underscores the company’s rapid growth and the increasing demand for its AI technologies. (unite.ai)

2. How does OpenAI’s valuation compare to Anthropic’s?

As of April 2026, Anthropic is considering a $50 billion raise at a valuation between $850 billion and $900 billion. This valuation would more than double Anthropic’s worth in less than three months, positioning it on par with OpenAI as one of the world’s most valuable AI startups. (unite.ai)

3. What role does Ramp play in this context?

Ramp, a New York-based fintech company, has raised a $750 million Series F funding round at a $44 billion valuation. Ramp is expanding its services to include AI-powered finance operations, offering tools that provide businesses with visibility into their AI usage and spending. (unite.ai)

4. How does Ramp’s platform assist businesses in managing AI expenditures?

Ramp’s platform introduces tools that pull token-level usage data from AI providers like Anthropic, OpenAI, and OpenRouter. This allows finance teams to monitor AI usage by provider, model, API key, and team, helping businesses manage and optimize their AI-related expenses. (unite.ai)

5. What does the competition between OpenAI and Anthropic signify for the AI industry?

The competition between OpenAI and Anthropic highlights the rapid advancements and investments in the AI sector. Both companies are striving to secure enterprise customers and funding, indicating a dynamic and competitive landscape as they race to lead in AI technologies and applications. (unite.ai)

These developments reflect the evolving nature of the AI industry, with significant investments and strategic moves shaping the future of AI technologies and their applications in various sectors.

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Lovable, the Vibe-Coding Startup, Seeks Acquisition Opportunities

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  <h2>Lovable Seeks New Talents with Strategic Acquisitions</h2>

  <p id="speakable-summary"><a target="_blank" href="https://lovable.dev/" rel="noreferrer noopener nofollow">Lovable</a>, the AI-driven platform for app development, recently garnered attention with its impressive $6.6 billion valuation. The company's co-founder and CEO, Anton Osika, announced the search for innovative teams and startups to join their growing ecosystem.</p>

  <h3>CEO Anton Osika's Vision for Cultural Growth</h3>

  <p>In a post on X, Osika emphasized that many key members at Lovable originally founded their own startups. He stated, “We’ve built our culture to enable founder-types to thrive, allowing them to act autonomously and drive impactful initiatives.”</p>

  <h3>Empowering Creative Projects on a Larger Scale</h3>

  <p>Osika encourages interested teams to connect with Théo Daniellot, head of M&A & Partnerships, to explore collaborative opportunities that allow ambitious projects to scale effectively.</p>

  <h3>Competing in a Rapidly Evolving AI Landscape</h3>

  <p>Lovable's acquisition push comes at a crucial time as they face fierce competition from tools like Cursor, Replit, and Bolt, alongside challenges posed by major AI players such as OpenAI and Anthropic. According to Lovable’s head of growth, Elena Verna, the company is keenly aware of these competitive pressures.</p>

  <h3>Remarkable Growth Amidst Competition</h3>

  <p>In the face of these challenges, Lovable continues to thrive, recently announcing an ARR of $400 million, doubling from $200 million at the end of 2025. The platform now boasts over 200,000 new vibe-coding projects launched daily.</p>

  <h3>A Proven Track Record in M&A</h3>

  <p>This isn’t Lovable's first foray into acquisitions; the company successfully integrated the cloud provider Molnett into its team last November to enhance its cloud infrastructure capabilities.</p>

  <h3>What’s Next for Lovable?</h3>

  <p>TechCrunch has reached out to Lovable for further insights on the specific types of projects, startups, and teams they are looking to acquire as they expand their innovative portfolio.</p>
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This rewritten article includes an optimized structure with engaging headlines that focus on search engine optimization while maintaining clarity and relevance to the original content.

FAQs for Lovable’s Acquisition Strategy

1. What are Lovable’s goals for acquisitions?

Answer: Lovable aims to enhance its product offerings, expand its market reach, and strengthen its technological capabilities. By acquiring complementary companies, we can integrate innovative solutions that align with our mission to create more engaging and meaningful experiences for our users.

2. What types of companies is Lovable looking to acquire?

Answer: Lovable is particularly interested in startups and companies that specialize in Vibe-coding technologies, user experience design, and data analytics. We’re looking for innovative firms that share our vision of enhancing user interaction and emotional connection in digital environments.

3. How can a company express interest in being acquired by Lovable?

Answer: Companies interested in exploring acquisition opportunities with Lovable can reach out via our website’s contact form or directly through our investor relations email. Please provide a brief overview of your company, including its products, market position, and how a partnership could be mutually beneficial.

4. What is Lovable’s approach to integrating acquired companies?

Answer: Lovable believes in a collaborative approach to integration. We prioritize maintaining the acquired company’s culture and values while fostering synergies. Our goal is to empower newly acquired teams to innovate within our framework, ensuring a smooth transition and continued growth.

5. Will Lovable continue pursuing acquisitions in the future?

Answer: Yes, Lovable is committed to an ongoing acquisition strategy. We believe that strategic acquisitions are vital for enhancing our capabilities and increasing our competitive edge. As the market evolves, we will continue to seek opportunities that align with our goals and values.

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AI Frenzy Derails CoreWeave’s Acquisition of Core Scientific — Now Acquiring Python Notebook Marimo

Core Scientific Shareholders Reject $9 Billion Acquisition by CoreWeave

Core Scientific shareholders on Thursday voted against a $9 billion all-stock acquisition offer from partner and competitor CoreWeave.

Major Shareholder Influence in Voting Decision

The decision came after a recommendation from the largest shareholder, Sina Toussi of Two Seas Capital, a firm specializing in post-bankruptcy companies. Core Scientific emerged from bankruptcy in January 2024.

Shared Origins: From Crypto Mining to AI

Core Scientific started as a cryptocurrency mining company, a path it also shares with AI data center provider CoreWeave. The latter has evolved to focus on AI workloads, aided by its partnership with investor Nvidia. Since its IPO, CoreWeave’s market cap has skyrocketed from $14 billion to $66 billion (approximately $140 per share), attracting investor interest in AI advancements.

CoreWeave’s Contract and Acquisition Strategies

CoreWeave previously signed a $10 billion, 12-year contract with Core Scientific to leverage its facilities for AI services and had also announced plans to acquire the company outright, offering a premium over Core Scientific’s stock price.

Strategic Outlook from Investors

However, investor Toussi believes Core Scientific has the potential to independently thrive in the AI sector. In his opposition letter, he stated, “Since the transaction was announced in July, investment in AI infrastructure has accelerated, driving equity valuations of Core Scientific’s peers to new heights. Why would anyone vote for a transaction worth only $16.40 per share?”

Market Reaction and Future Prospects

Following the rejection of the deal, Core Scientific’s stock experienced an uptick, reflecting a current market cap of $6.6 billion.

AI Bubble Signs?: Investor Behavior in Acquisition Landscape

The recent trend of investors rejecting acquisition offers in hopes of more lucrative deals indicates the possibility of an impending AI bubble.

CoreWeave Expands Its Portfolio

In the meantime, CoreWeave continues to pursue acquisitions, recently acquiring Marimo, an open-source competitor to Jupyter Notebook, for an undisclosed amount. PitchBook estimates that Marimo has raised around $5 million.

The Role of Python Notebooks in AI Development

Python notebooks, which combine code, rich media, and explanatory text into single shareable files, are essential for interactive data analysis and AI app development. This acquisition helps CoreWeave advance from simple hosting services to developing AI applications.

Sure! Here are five FAQs addressing the acquisition of Marimo, a Python notebook platform, by CoreWeave’s Core Scientific:

FAQ 1: What is Marimo?

Answer: Marimo is a Python notebook platform designed for data analysis and machine learning. It allows users to write and execute Python code in a collaborative, interactive environment, making it easier to explore datasets and visualize results.


FAQ 2: Why did CoreWeave acquire Marimo?

Answer: CoreWeave acquired Marimo to enhance its data science and machine learning capabilities. By integrating Marimo’s user-friendly notebook environment, CoreWeave aims to provide its clients with more powerful tools for data analysis and innovation, streamlining workflows for data scientists and analysts.


FAQ 3: How will this acquisition impact existing Marimo users?

Answer: Existing Marimo users can expect continued support and enhancements to the platform. CoreWeave plans to integrate additional features and infrastructure improvements, providing a smoother experience, while maintaining the core functionalities that users appreciate.


FAQ 4: What benefits does this acquisition offer to CoreWeave customers?

Answer: CoreWeave customers will gain access to advanced data science tools and a collaborative platform for coding and analysis. The integration of Marimo’s capabilities allows users to leverage cutting-edge machine learning resources directly within their existing workflows, increasing efficiency and innovation.


FAQ 5: Will Marimo remain an independent platform after the acquisition?

Answer: While Marimo will be integrated into CoreWeave’s offerings, it is expected to operate under its own brand. CoreWeave aims to preserve the unique features of Marimo while enhancing its functionalities and user experience in alignment with CoreWeave’s broader business goals.

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