OpenAI has announced a new internal restructuring. Greg Brockman, co-founder of the company, will lead product strategy. At the same time, there is an intention to unify ChatGPT and Codex into a single platform. This is a move that redefines the global enterprise AI ecosystem.
Therefore, the implications for Italian SMEs are concrete and immediate. In fact, Codex is today the benchmark tool for AI-assisted code generation. Its integration with ChatGPT could simplify workflows, but also modify pricing models and API access. However, questions remain open regarding compatibility, roadmap, and governance of the unified product.
We of SHM Studio we are monitoring this evolution closely. In particular, we are evaluating the impact on the projects of AI integration already underway with our clients. Therefore, anyone building workflows based on OpenAI should update their technology roadmap. In short, the ChatGPT-Codex merger is not just a product announcement: it is a strategic signal that requires careful consideration by every digitally oriented company.
What has changed at OpenAI: Brockman returns to the center
Mid-May 2026, according to TechCrunch, Greg Brockman has taken direct responsibility for OpenAI's product strategy. The co-founder had been absent from the operational scene for an extended period. Therefore, his return to a central executive role represents a strong signal regarding internal governance.
Meanwhile, news of even greater significance for the market emerges. OpenAI is reportedly planning to merge ChatGPT and Codex, its product dedicated to code generation. Thus, two previously distinct products—with different users, pricing, and APIs—could converge into a single integrated platform.
This move is not isolated. In fact, it fits into a context of intense competition with Google, Anthropic, and Microsoft Copilot. All major players are consolidating their AI offerings into unified platforms. OpenAI, with this reorganization, seems to want to accelerate in the same direction.
The ChatGPT-Codex Fusion: Architecture of a Change
Codex is the engine that powers GitHub Copilot and numerous AI-assisted development tools. ChatGPT, on the other hand, is the world's most popular conversational platform with over 300 million weekly users. Combining the two means creating an environment where natural language and code generation coexist seamlessly.
However, the merger raises non-trivial technical issues. Codex's APIs have a different structure than ChatGPT's. Additionally, the underlying models have been optimized for different tasks. Consequently, integration will require significant harmonization work, both at the model level and at the user interface level.
For companies currently using OpenAI APIs in production, this scenario raises concrete questions. In particular, it concerns the stability of existing endpoints, version management, and the continuity of enterprise contracts. We at SHM Studio we are already collecting these questions from clients we are managing projects with AI integration.
Immediate impact on the Italian enterprise ecosystem
For Italian SMEs that have adopted OpenAI-based tools, the change has direct operational implications. First, it is necessary to verify if their workflows depend on specific Codex endpoints. Subsequently, it will be necessary to monitor OpenAI's official roadmap for deprecation updates.
In addition to this, Brockman's repositioning to lead product strategy suggests greater consistency in product vision. Historically, OpenAI has suffered from some fragmentation between research and commercial development. Conversely, centralized product leadership could accelerate feature releases and improve roadmap predictability.
According to Gartner, By 2027, more than 70% of enterprise applications will incorporate generative AI capabilities. Therefore, choosing a primary AI platform becomes a strategic decision, not just a technical one. The ChatGPT-Codex merger could simplify this choice for many organizations by reducing the number of vendors they need to manage.
What official statements don't say
The news was released with neutral tones, but some implications warrant a more critical reading. First of all, the merger of two products with different user bases carries risks of cannibalization. Developers who currently use Codex might not appreciate a more generalized interface. Similarly, business users of ChatGPT might find themselves exposed to unnecessary technical complexities.
Furthermore, Brockman's return occurs at a time when OpenAI is transitioning to a for-profit structure. Therefore, product strategy decisions are increasingly influenced by monetization logic. In this context, the merger could also address needs for portfolio simplification to attract institutional investors.
Finally, it's worth noting that Harvard Business Review has repeatedly pointed out how product mergers in the tech sector often create discontinuities for existing users before producing tangible benefits. SMEs would be wise not to assume that the transition will be painless.
What to do now: guidance for SMEs
The most sensible operational response at this stage is to verify the current technology stack. Who uses AI solutions Based on OpenAI, it should map specific dependencies on the Codex or ChatGPT API. This exercise is useful regardless of the final outcome of the merger.
Therefore, we suggest three concrete immediate actions. First, consult the official OpenAI documentation for any announcements regarding deprecations or migrations. Second, evaluate if there are complementary alternatives—such as Anthropic's Claude models or Google's Gemini—to supplement the main platform. Third, update supply contracts to include service continuity clauses.
On the front of digital strategy, it's the right time to also review how AI is communicated to its customers. Companies that have built marketing messages around specific tools may need to update their content. In this regard, a job of Strategic copywriting can help maintain brand consistency even during technological transition phases.
Outlook: Where OpenAI is going in the next 18 months
OpenAI's trajectory in the 2026-2027 period appears to be heading towards a unified platform, capable of covering both cognitive and technical work. This positioning competes directly with Microsoft Copilot and the Google Workspace AI ecosystem. Therefore, the battle for the enterprise market is shifting from model quality to depth of integration.
For Italian SMEs, this scenario offers opportunities but also risks of lock-in. Relying on a single AI ecosystem simplifies management but reduces negotiation flexibility. Therefore, a multi-vendor strategy—even a partial one—remains advisable for organizations with critical business continuity needs.
We of SHM Studio we are following the evolution of these scenarios within our services AI consulting e digital marketing. For those who wish to discuss how to position their company in light of these changes, please contact us through our Contact Us. Furthermore, on our blog We publish regular updates on AI, SEO, and digital strategies for the Italian B2B market.
In summary, OpenAI's move is not just product news. It's an indicator of the direction the entire enterprise AI market is heading. SMEs that can read these signals early will be better positioned to gain concrete advantages.
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