Anthropic's imminent initial public offering (IPO) is expected to intensify the demand for financial clarity and tangible results in the field of artificial intelligence (AI). Startup executives and experts consulted on the matter indicate that entering the stock market may allow investors to assess whether the technological progress of these companies is accompanied by solid business models.
Anthropic, the developer of Claude, is seen as one of the main candidates for a major capital market launch. The company reported revenue of US$ 16.3 billion (equivalent to R$ 87.1 billion) in the first half of 2026, but it also faces questions about the costs and risks inherent in developing its technology.
Allan Miranda, CEO of the startup Luria, views this move as a transition to the sector. He argues that, in addition to showing technological maturity, the public offering can reveal the distinction between creating sophisticated models and establishing businesses capable of lasting in the long term.
Miranda points out that until now, many valuations were linked to model evolution, computational capacity, and growth projections. With these companies entering the capital markets, he believes that metrics such as recurring revenue, operational efficiency, margins, and value delivered to customers should gain relevance.
The executive also emphasizes that the competitive advantage will not only reside in creating progressively more powerful models. For him, companies that manage to convert this capability into specific solutions integrated into their clients' operations will build more stable advantages.
Miranda concludes that, although capital continues to seek opportunities in AI, there will be a growing demand for economic fundamentals and competitive differentiation. The key will be determining what portion of the value generated by AI the companies can capture and transform into a competitive benefit.
Alex Bernat, co-founder of the startup Vetto, also sees the potential operation as a milestone for the industry. In his opinion, the market will have the chance to analyze not only the expansion potential of companies that create advanced models but also the viability of businesses that require high investments in research and infrastructure.
Bernat warns that a publicly traded company will be subject to stricter monitoring of its decisions and resource usage. This is particularly important, according to him, for organizations that develop technologies with a great social impact.
The public offering, he adds, has the potential to expand investors' chances of participating in the economic growth driven by AI.
For Marcelo Abreu, director of the Venturus innovation center, financial transparency is one of the biggest benefits of a possible Anthropic debut on the stock exchange. He states that disclosing results can help clarify how large companies in the sector generate revenue and manage development costs.
Abreu compares Anthropic and OpenAI, saying that both face cost challenges, but currently, the exact scale of this problem is unknown. According to the executive, access to more detailed financial data will allow for a more precise tracking of the companies' strategies and prospects.
Gabriel Cunha, an AI solutions specialist at Oracle, also considers the operation a crucial test for the segment. In addition to measuring investor interest in large public offerings, the IPO can provide information about Anthropic's financial structure, including expenses, resource allocation, and sales concentration.
Cunha draws attention to the competition from open-source models. In this context, Anthropic will have to demonstrate what distinguishes its technology and present a convincing vision for the future to investors.
The performance of this offering may also serve as a benchmark for OpenAI, whose IPO has been postponed to 2026. The market's reaction to Anthropic may help adjust expectations regarding the competitor's eventual debut.
The experts agree on one fundamental point: technological advancement alone may not be enough to ensure the financial success of AI companies. A public offering can increase visibility into revenues, costs, investments, and risks, providing investors with more elements to evaluate the potential of each venture. Simultaneously, companies will need to prove that they maintain growth and convert applied resources into results. The process still awaits definitions regarding price, offer volume, and timeline. Until these details are defined, Anthropic's possible debut represents both a chance to increase industry transparency and a test of investor confidence in the AI economic model.
