OpenAI full-stack strategy: more capable and accessible AI

What OpenAI announced with Building Abundant Intelligence

On July 31, 2026, OpenAI published the strategic document on its website Building Abundant Intelligence . The text outlines a precise vision: making advanced artificial intelligence more capable, cheaper, and more useful on a global scale.

However, this is not a simple research press release. OpenAI describes an approach full-stack , which spans the entire value chain: from chips and computing infrastructure, to foundation models, APIs, and end-user products.

Basically, Sam Altman's company wants to control every single layer of the tech stack. This lets them smoothly optimize costs, speed, and performance together. It is a move that really reminds you of Apple's vertical strategy in hardware and software.

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, it can structurally reduce operating costs. This translates to lower API prices for developers and businesses.

According to the analyses of McKinsey Global Institute , the cost of generative AI has dropped by over 90% in the last three years. As a result, the barrier to entry for SMEs has already dropped significantly. OpenAI's move further accelerates this trajectory.

Furthermore, the integrated approach improves consistency between models and products. Companies using GPT-4o or OpenAI's APIs can expect more frequent and better-coordinated updates. Therefore, the technological roadmap becomes more predictable for those planning digital investments.

Why the full-stack model changes the rules for businesses

Up until now, lots of companies built AI tools by mixing and matching parts from different suppliers. A model from OpenAI, cloud hosting from AWS, and extra orchestration tools from third parties. This broken-up way of doing things just creates messy complications and hidden costs.

Conversely, 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.

Beyond this, OpenAI's strategy explicitly aims for abundance, not scarcity. The stated goal is to democratize access to advanced AI. Therefore, even businesses with limited budgets will be able to access enterprise-grade models in the coming quarters.

We at SHM Studio we are watching this evolution with direct interest. Our AI services for Italian companies are based precisely on the ability to select and integrate the platforms best suited to the client's specific context.

The ongoing construction site: the challenges of vertical integration

However, the full-stack model is not without risks. Concentrating technological power in a single player creates dependency. If OpenAI changes its terms of service or pricing, companies built on top of it feel the consequences directly.

Furthermore, Wired has documented the tensions between OpenAI and its historical partners, including Microsoft. Last year's corporate restructuring made OpenAI more autonomous. Therefore, its strategic trajectory 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 advisory approach is invaluable. I digital marketing services and SHM Studio's AI strategies take these market balances into account.

What to do now: practical guidelines for marketing managers

First of all, it's helpful to map out which business processes already use AI tools, even informally. Many marketing teams use ChatGPT or Copilot without structured governance. This is the right time to formalize the adoption.

Next, it is worth evaluating whether OpenAI's APIs can replace more expensive or fragmented solutions. For example, integrating GPT models into workflow SEO copywriting or of Google Ads campaign optimization can generate measurable efficiency.

Also, it is a good idea to keep a close eye on how API prices change over the next few quarters. OpenAI's full-stack strategy should lead to further price drops. Because of this, some investments that look too early today might make sense by the end of 2026.

Finally, for those managing LinkedIn campaigns or strategies SEO , generative AI is already changing content production benchmarks. Ignoring this evolution means accepting a growing competitive disadvantage.

Outlook: where this trajectory leads in 2027-2028

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

For Italian SMEs, this scenario opens up concrete opportunities. Access costs will continue to drop. Similarly, the quality of available models will increase. 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 skills 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 is difficult to bridge.

To learn more about how to integrate these developments into your digital strategy, you can consult our Blog or contact the SHM Studio team for a personalized evaluation.