OpenAI IPO: what changes for the AI market and B2B SMEs

The timeline: two filings in ten days

On June 8, 2026, OpenAI confidentially filed its paperwork for an initial public offering. The news was reported by TechCrunch , which highlighted how the filing comes just over a week after Anthropic's. Therefore, both major competitors in the advanced language models segment are now racing toward the public markets.

The confidential filing — the so-called confidential filing — it is a tool provided for under US SEC regulations. It lets companies kick off the IPO process without making their financial details public right away. Later on, the full documentation is made available before the roadshow. So, OpenAI's financial data is not yet accessible to the market.

Still, the strategic signal couldn't be clearer. Both companies picked a super tight time frame. That's no accident: the battle for institutional investor trust is just as fierce as the tech race.

The financial context: astronomical valuations and pressure on returns

OpenAI was valued in recent private transactions at around 300 billion dollars. Anthropic, for its part, has reached valuations in the range of 60-75 billion. Therefore, the two IPOs could end up being some of the biggest tech public offerings of the decade.

According to analysis by McKinsey & Company , the global generative artificial intelligence market could add between $2.6 trillion and $4.4 trillion annually to the global economy. These numbers partly justify the high valuations. However, the pressure on public investors will be different from that on venture capital investors: the public markets demand profitability, not just growth.

In fact, OpenAI has posted significant operating losses in recent years, tied to the massive costs of training and infrastructure. As a result, the path to profitability is becoming a central theme in the narrative the company will need to build for the public markets.

Winners and losers: who gains from the stock market race

The IPOs of OpenAI and Anthropic are causing a ripple effect across the entire ecosystem. Let's break down the key players.

The potential winners

• Early-stage investors : funds like Sequoia Capital and other venture capitalists will finally be able to cash out positions built up over the years. The expected liquidity is huge.
• Microsoft : the strategic partnership with OpenAI is further consolidated. A publicly traded OpenAI is a more transparent and stable partner for the Azure and Copilot ecosystem.
• Developers and API partners : the IPO brings greater accountability with it. Therefore, product roadmaps will become more predictable and easier to communicate to business stakeholders.
• SMEs adopting AI : the competition between OpenAI and Anthropic, both under pressure for revenue growth, could lead to more competitive pricing on enterprise plans.

The potential losers

• Mid-size players : companies like Cohere, Mistral, or AI21 Labs could see a squeeze in investor attention as people flock to the bigger IPOs.
• Vertical AI startups : the cost of capital could rise for those who lack the scale of OpenAI or Anthropic. In fact, investors will tend to consolidate positions in market leaders.
• Google and Meta : the IPO of direct competitors increases the pressure on these giants' AI divisions, which will need to speed up the monetization of their models.

SHM Studio's take: why this matters for Italian SMEs

We at SHM Studio we work daily with B2B and retail SMEs that are integrating AI tools into their processes. Therefore, we look at these developments with an operational perspective, not just a financial one.

The OpenAI IPO brings three major shifts for mid-sized Italian companies.

First of all, contract stability. A publicly traded company is subject to stricter disclosure and governance requirements. As a result, unilateral changes to API terms of service become harder to pull off without hurting its reputation on the public markets. For SMEs that have built workflows on GPT-4 or later models, this is a positive sign.

Furthermore, the pressure on monetization. Public markets will demand revenue growth. Therefore, it is reasonable to expect new enterprise pricing tiers, premium features, and potential price hikes on current plans. SMEs must carefully evaluate the total cost of ownership of the adopted AI solutions.

Lastly, the acceleration of the innovation cycle. The competition between OpenAI and Anthropic, both under public scrutiny, will push for more frequent releases and clearer communication about model capabilities. This benefits anyone adopting AI in a structured way.

The still open worksite: regulatory uncertainties and governance

OpenAI's IPO is not without structural complexities. The company has started a transformation of its corporate setup, moving from a structure capped-profit to a more traditional, profit-driven model. This process is still ongoing and could affect the timing of the roadshow.

According to an analysis by Harvard Business Review , AI company governance is one of the trickiest hurdles for institutional investors. Even so, market interest stays through the roof. Therefore, governance risks do not seem to act as a major roadblock to going public.

Equally important is the European regulatory front. The European Union's AI Act entered its operational phase in 2025. Consequently, publicly traded companies operating in the European market will have to report regulatory compliance to their shareholders. This could speed up investments in compliance by OpenAI and Anthropic, bringing good news for European SMEs using their services.

Next moves: what to consider in the next 12-18 months

For Italian SMEs that are already using or considering the adoption of AI tools, the period leading up to and following the IPOs calls for some strategic reflection.

Diversification of the AI portfolio

Relying on a single language model provider exposes the company to pricing and service continuity risks. Therefore, it is a good idea to consider a multi-model approach that integrates solutions from OpenAI, Anthropic, and open-source players like Mistral. Our services AI consulting already include the evaluation of these scenarios.

API contract review

Before IPOs are completed, it is a good idea to review the contract terms of the API licenses you are using. In particular, it is important to check the unilateral modification clauses and the notification mechanisms for price changes. Our team of Digital marketing supports companies in optimizing their tech costs.

Investment in internal skills

Vendor lock-in is also reduced by building internal skills. So, training people who can evaluate, plug in, and keep an eye on different AI models becomes a key strategic asset. This is especially true for those handling tasks in Copywriting , google ads campaigns and LinkedIn campaigns with AI support.

Monitoring product roadmaps

Public companies publish quarterly guidance. As a result, the roadmaps of OpenAI and Anthropic will become easier to read and more predictable after the IPOs. This makes 12-24 month tech planning much easier for small and medium businesses. Our services of web development and SEO are already taking these developments into account when designing digital architectures.

What nobody is saying: the listing as a commoditization accelerator

There is one aspect that rarely comes up in the mainstream debate on AI IPOs. Going public tends to push companies toward product standardization and scalability. Therefore, in the medium term, language models from OpenAI and Anthropic could become increasingly like infrastructural commodities, much like what happened with AWS, Azure, and Google Cloud services.

This scenario has clear implications for SMEs. In fact, if base models become commodities, value shifts to those who know how to best integrate them into their processes. Consequently, competitive differentiation will no longer be in model access, but in integration quality, proprietary data quality, and the ability to build industry-specific AI workflows.

To dive deeper into this topic, the MIT Technology Review has published in-depth analyses on the commoditization trajectory of generative AI. Reading it is recommended for anyone planning tech investments for 2027-2028.

For Italian SMEs, now is a good time to build proprietary skills and processes before the market consolidates further. The SHM Studio blog will keep an eye on these developments. For tailored advice, feel free to reach out via our page contacts .