Anthropic, the company behind Claude, closed a funding round of USD 65 billion that brought it to a valuation of USD 965 billion, making it the most valuable artificial intelligence startup in Silicon Valley. The news impacts not only the global AI ecosystem, but also the companies and tech professionals in LATAM who work with Claude on a daily basis.

In this article we analyze what this round means, who invested, how Anthropic positions itself against OpenAI and Google, and what it means for organizations and developers in Argentina who already use —or are evaluating using— AI-based tools.

The funding round that changed the AI ranking

Anthropic's Series H round was led by top-tier institutional investors, including sovereign wealth funds from the Middle East, private capital managers from the U.S., and technology companies that depend on Claude in their own products.

With this operation, Anthropic reached a valuation that historically was exclusive to mature technology companies, not to startups with less than five years of history. This reflects the market's expectation that advanced language models will be the central infrastructure of the digital economy in the coming years.

As reported by TechCrunch, Anthropic's valuation surpassed that of OpenAI in the secondary stock market, marking a significant change in how investors perceive the technical leadership and value proposition of each company.

Who is Anthropic and what does it build

Anthropic was founded in 2021 by Dario Amodei, Daniela Amodei, and other former members of OpenAI. From the beginning, the company positioned itself with a differentiating approach: AI safety as a strategic priority, not as an add-on.

Its main product, Claude, is a large language model (LLM) that competes directly with OpenAI's GPT-4o and Google's Gemini. Claude stands out for:

• Extensive context window: capable of processing long documents, financial reports, or entire code bases in a single query.

• Constitutional AI: its own technical approach so that the model follows ethical principles more consistently than other models.

• Reasoning performance: especially notable in code analysis, synthesis of complex information, and structured decision-making.

In addition to the Claude API, Anthropic offers Claude.ai, the interface for individuals and teams, and Claude for Work, the enterprise version with privacy controls and team administration.

Why Anthropic surpassed OpenAI in valuation

OpenAI remains the mass-consumer reference thanks to ChatGPT, but Anthropic gained ground in the enterprise market. Several factors explain this change:

• Focus on safety: in more demanding regulatory contexts (Europe, large corporations with strict compliance), Anthropic's approach generates more trust than OpenAI's.

• Consistent technical performance: the models of the Claude 3.7 and Claude Sonnet family achieved superior results to GPT-4o in several coding and reasoning benchmarks.

• B2B positioning: Anthropic grew faster in enterprise adoption over the last year, especially in regulated sectors like healthcare, finance, and legal.

CNBC noted that the round also reflects a bet by investors on diversification in the AI ecosystem: they don't want the whole market to depend on a single provider.

What it means for companies and professionals in LATAM

For those who already use Claude in Argentina, Chile, Mexico, Colombia, or Brazil, this financing has concrete implications:

Greater investment in infrastructure and models

With this additional capital, Anthropic will be able to invest massively in computing capacity (GPUs, data centers) and the development of more advanced models. This translates into more capable models, lower latency in the API, and potentially more competitive prices in the medium term.

Expansion of the Claude ecosystem

Anthropic has strategic agreements with Amazon Web Services (AWS) and Google Cloud. This means that Claude will be available on more platforms and with better enterprise integrations. For teams in LATAM that use AWS or GCP, accessing Claude through these platforms will be increasingly simple and economical.

More tools for developers

Anthropic's API already offers advanced capabilities like tool use (function calling), computer vision, document analysis, and code generation. With greater investment, it's expected that the ecosystem of tools for developers will grow, including improvements in the Claude Agent SDK and in the integrations with frameworks like LangChain and LlamaIndex.

If you're exploring how to incorporate Claude into your professional workflow without being technical, you may also be interested in reading how to use Claude to analyze data without knowing how to code, a practical guide for professionals in any area in Argentina.

The broader context: the race for general AI

This round occurs at a time when the big AI labs compete over who will advance fastest toward systems with broader and more general capabilities. Anthropic, OpenAI, Google DeepMind, and Meta AI are the main players, each with different technical and business approaches.

For tech professionals in LATAM, this context has a direct implication: the AI tools they use today are just the beginning. The models will be exponentially more capable in the coming years, and the skills to work with them —both to use them and to build on them— will be increasingly valued in the job market.

According to the World Economic Forum, the profiles that combine AI knowledge with domain-specific skills (finance, healthcare, marketing, product development) are the ones with the highest projected demand for the coming years.

Coderhouse courses to join the AI ecosystem

The Anthropic news is a clear signal of where the industry is heading. If you want to prepare to work with language models and AI systems, Coderhouse has concrete options:

• Introduction to Artificial Intelligence Course: ideal for professionals in any area who want to understand what AI is, how LLMs work, and how to start using them in their work.

• AI Engineering Course: for technical profiles who want to learn to build applications on APIs like Anthropic's, integrating language models into real systems.

• AI Marketing Career: if your focus is marketing and growth, this career teaches you to use AI to automate, analyze, and scale digital strategies.

Frequently asked questions

What is Anthropic and who founded it?

Anthropic is an AI research and development company founded in 2021 by Dario Amodei, Daniela Amodei, and other former OpenAI employees. Its mission is to build reliable, interpretable, and safe AI systems. They are the creators of Claude, the language model that competes with ChatGPT and Gemini.

What is Claude and how can I access it?

Claude is Anthropic's language model. You can access it through the web interface at claude.ai, through the Anthropic API for developers, or within cloud platforms like Amazon Bedrock and Google Cloud Vertex AI. It has free and paid plans depending on usage and the available models.

Does the USD 965 billion valuation mean that Anthropic is a public company?

No. Anthropic remains a private company. The valuation of almost USD 1 trillion is a secondary-market estimate, based on the price at which its shares are transacted in private funds and on the implied valuation of the last round. To be public, Anthropic would have to do an IPO (initial public offering), something that is not confirmed yet.

How does this affect those who already use ChatGPT?

Directly, nothing changes for ChatGPT users. But it does signal that the AI ecosystem is diversifying: OpenAI is no longer the only relevant provider, and companies are spreading their bets. For users and organizations, this is positive: more competition usually translates into better products, greater innovation, and more competitive prices.

Is it worth learning to use Claude in addition to ChatGPT?

Yes, especially if you work in contexts where safety, reliability, and the handling of long documents are important. Claude has specific advantages in the analysis of extensive documents, following complex instructions, and structured reasoning. Many professionals in Argentina use both tools depending on the type of task, choosing the one that best fits each case.