OpenAI's full-stack strategy: More capable and accessible AI

OpenAI announced Building Abundant Intelligence, which is a plan to build artificial general intelligence (AGI) that is safe, widely beneficial, and accessible to everyone.

On July 31, 2026, OpenAI published its strategy document on its website Building Abundant Intelligence. The text outlines a precise vision: to make advanced artificial intelligence more capable, more affordable, and more useful on a global scale.

However, this is not just a research paper. OpenAI describes an approach full-stack, covering the entire value chain: from chips and computing infrastructure, to foundational models, APIs, and end-user products.

In summary, Sam Altman's company intends to control every level of the technology stack. This allows them to optimize costs, latency, and performance in a coordinated manner. It's a move reminiscent of Apple's vertical strategy in the hardware-software sector.

The immediate impact on the AI market in 2026

The full-stack strategy has direct consequences on the market. In fact, when a provider controls the entire infrastructure, they can structurally reduce operating costs. This translates into lower API prices for developers and businesses.

According to the analysis of McKinsey Global Institute, the cost of generative AI has fallen by more than 90% over the past three years. As a result, the barrier to entry for SMEs has already dropped significantly. OpenAI’s move further accelerates this trend.

In addition, the integrated approach improves consistency across models and products. Companies that use GPT-4 or OpenAI’s APIs can expect more frequent and better-coordinated updates. As a result, the technology roadmap becomes more predictable for those planning digital investments.

Why the full-stack model changes the rules for businesses

Until now, many companies have built AI solutions by piecing together components from different vendors—an OpenAI model, cloud infrastructure from AWS, and third-party orchestration tools. This fragmented approach creates complexity and hidden costs.

Instead, a full-stack provider reduces the number of integrations needed. Similar to what happened with cloud computing in the 2010s, the concentration of offerings leads to operational simplification. For Italian marketing managers, this means less friction in adoption and faster go-to-market.

In addition, OpenAI’s strategy explicitly focuses on abundance, not scarcity. The stated goal is to democratize access to advanced AI. As a result, even organizations with limited budgets will be able to access enterprise-grade models in the coming quarters.

We of SHM Studio We are following this development with keen interest. Our AI services For Italian companies, this is based precisely on their ability to select and integrate the platforms best suited to the client's specific context.

The Work in Progress: The Challenges of Vertical Integration

However, the full-stack model is not without its risks. The concentration of technological power in a single player creates dependency. If OpenAI changes its terms of service or pricing, companies that have built upon it will be directly affected.

In addition, Wired has documented Tensions between OpenAI and its long-standing partners, including Microsoft. Last year’s corporate restructuring gave OpenAI greater autonomy. As a result, its strategic direction is now less constrained by previous agreements.

Despite this, competition remains intense. Google DeepMind, Anthropic, and Meta AI are pursuing similar paths. Consequently, the AI market in 2026 is still fluid. Italian companies would do well to maintain some architectural flexibility in their technological choices.

For this reason, an independent consulting approach is invaluable. The digital marketing services And SHM Studio's AI strategies take precisely these market balances into account.

What to do now: operational guidelines for marketing managers

First of all, it’s helpful to identify which business processes are already using AI tools, even on an informal basis. Many marketing teams use ChatGPT or Copilot without any structured governance. Now is the right time to formalize their adoption.

Subsequently, it is worth evaluating whether OpenAI's APIs can replace more expensive or fragmented solutions. For example, integrating GPT models into workflows SEO copywriting oh yes Google Ads campaign optimization can lead to measurable efficiency gains.

In addition, it’s worth closely monitoring the trend in API prices over the next few quarters. OpenAI’s full-stack strategy is expected to lead to further price reductions. Therefore, some investments that seem premature today could become cost-effective by the end of 2026.

Finally, for those who manage LinkedIn campaign strategy SEO, Generative AI is already changing content production benchmarks. Ignoring this evolution means accepting a growing competitive disadvantage.

Outlook: Where does this trajectory lead in 2027-2028

According to Gartner, by 2028, more than 70% of enterprise applications will incorporate native AI capabilities. OpenAI’s full-stack strategy is consistent with this projection. In fact, controlling the entire stack means being able to integrate AI into every layer of the application.

For Italian SMEs, this scenario opens up real opportunities. Access costs will continue to fall. Similarly, the quality of available models will improve. As a result, even companies with small digital teams will be able to compete with more established players.

Therefore, the time to build internal AI expertise is now. Not in two years, when the market will be more mature but also more crowded. Those who invest today in web infrastructure and structured AI processes will have a first-mover advantage that will be difficult to overcome.

To delve deeper into how to integrate these developments into your digital strategy, you can consult our blog o Contact the SHM Studio team for a personalized evaluation.