GPT-5.2 Copilot: how the new OpenAI model is integrated into the work tools

The arrival of GPT-5.2 Copilot This marks a new step in integrating generative artificial intelligence into everyday work tools. Microsoft and OpenAI are aligning their releases so that the new model It can be used both in Microsoft 365 office environments and on development and automation platforms.without forcing organizations to change their ecosystem.

While OpenAI presents GPT-5.2 as its most professional-oriented model, Microsoft is directly integrated into Copilot so users can select it from a simple model selectorThis means that much of the impact of GPT-5.2 in Spain and the rest of Europe will be felt, above all, in how meetings are prepared, how long documents are analyzed, or how internal processes are automated within companies.

What is GPT-5.2 Copilot

GPT-5.2 is OpenAI's new generation of models, compared to third-party proposals such as Open models for distributed AI, focused on Advanced reasoning, long context, and interface generation on the front end of applications. Microsoft places it under the Copilot umbrella with two main variants: GPT-5.2 Thinking, a model designed for complex problems and strategic planning, and GPT-5.2 Instant, lighter and designed for writing, translation, and daily learning.

This combination allows, in practice, GPT-5.2 Copilot works as much as “brain” for complicated projects (for example, an annual goal plan) as a quick tool for everyday tasks such as rewriting an email, translating a report, or preparing a presentation outline.

OpenAI emphasizes that GPT-5.2 has been trained to perform better in typical office tasksThese capabilities include creating spreadsheets, developing presentations, writing code, interpreting images, analyzing long-term contracts, and designing multi-stage projects. In this context, Copilot acts as the layer that brings these capabilities to the user without requiring them to learn new platforms.

The model also It stands out for its ability to handle long contextsThis is especially relevant for European companies accustomed to working with lengthy contracts, technical files, and regulatory documentation. Instead of breaking the information down into several steps, GPT-5.2 can analyze large volumes of text in a single conversation.

Integration of GPT-5.2 into Microsoft 365 Copilot and Copilot Studio

In Microsoft 365 Copilot, GPT-5.2 can be selected from the model selector in both Copilot chat and Copilot Studio.From that point, the assistant is able to reason about emails, meetings, and documents, connecting with what Microsoft calls Work IQ to extract useful ideas from the organization's daily activity.

A practical example in a Spanish business environment would be to ask Copilot to provide, based on previous meetings and emails with a client, five key topics likely to come up in the next meeting. The model combines the account's context with its ability to synthesize to save the sales team preparation time.

Another illustrative use involves requesting comparative tables of companies by market capitalization on two different dates and then asking for an analysis of sectoral leadership changes, innovation cycles, and geopolitical trends, connecting it to the company's strategic planning for the coming year. This type of scenario is especially interesting for consulting firms, financial offices and strategy departments corporate in Europe.

GPT-5.2 is also integrated into Copilot Studio, the tool for creating custom agents and flowsAgents that were already configured with GPT-5.1 will automatically switch to GPT-5.2 in early release environments, meaning that European companies that are already experimenting With automations on Copilot Studio, you can benefit from reasoning improvements without having to redesign your solutions.

Microsoft has begun rolling out GPT-5.2 to users with a Microsoft 365 Copilot license, with a gradual arrival in the coming weeks. For Microsoft 365 premium plan customers, the company anticipates expanding the rollout early next year, a timeline that also affects European organizations migrating to advanced licenses.

GPT-5.2 on GitHub Copilot and development environments

Beyond office automation, GPT-5.2 plays a key role on GitHub CopilotThe development assistant is already used by numerous technical teams in Spain and other EU countries. The model can be selected from the GitHub Copilot selector in various environments. including Visual Studio Code, the Copilot chat on GitHub.com, GitHub Mobile, and the Copilot CLI command-line interface.

In Visual Studio Code (from recent versions onwards), GPT-5.2 can be used in all common modesChat, one-off questions, contextual editing, and agents. This makes it easier for developers to combine assistance in writing codeReview of pull requests and generation of technical documentation without changing tools.

The rollout on GitHub will be gradual, so some users of Pro, Pro+, Business, or Enterprise plans will see the GPT-5.2 option in stages. business plansAdministrators must enable the model from the Copilot settings for the entire organization, which allows European companies to apply their own internal policies before making the new version available to teams.

For users with individual paid subscriptions (Pro and Pro+), activation is done by selecting GPT-5.2 in the model selector and accepting a one-time notification. And in "bring your own key" scenarios, very common in companies that already work directly with the OpenAI API, it's possible to enter your own key from the option Manage Models from Visual Studio Code and associate it with the GPT-5.2 model.

This integration allows Spanish developers to test GPT-5.2 in their daily workflow without needing to redesign their pipelinesThe greater capabilities of GPT-5.2 in debugging, function generation and testing, as well as in advanced front-end and 3D components, fit both web projects and industrial or financial applications that operate within European regulations.

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GPT-5.2 Foundry: Long-term agents for the company

In the Azure cloud, GPT-5.2 is presented as generally available from Microsoft FoundryMicrosoft's platform designed to build and deploy AI models at enterprise scale. The focus here is on complex agents and long-running processes, where the model not only answers individual questions but also coordinates entire work phases.

Compared to GPT-5.1, the new GPT-5.2 series introduces deeper logical chains, richer context handling, and what Microsoft describes as agentic execution: the ability to break down a task into steps, justify decisions, and produce production-ready artifacts, such as design documentation, executable code, automated tests, or deployment scripts.

For European organizations subject to strict regulations (finance, healthcare, public sector), Foundry adds a layer of governance: managed identities, access policies, and compliance that are integrated with the model. This allows for the deployment of agents that operate on sensitive data under frameworks such as the GDPR, maintaining auditable records and structures.

In practice, GPT-5.2 in Foundry is intended as a standard for several use cases: modernization of legacy applicationsThis includes reviewing data pipelines, assisting support departments, analyzing risks, and planning large projects. The model can review legacy code, suggest migration plans, assess risks, and propose rollback criteria, all within a single workflow.

This orientation aligns with the growing interest of Spanish companies in automate complex decisions without giving up a documentary trail that facilitates audits and internal reviews, an aspect that the EU particularly values ​​in light of future AI regulations.

Performance, benchmarks and improvements compared to GPT-5.1

OpenAI has accompanied the launch of GPT-5.2 with an emphasis on its economic performance, relying on its own indicator called GDPvalDesigned to measure the value the model brings to knowledge-based tasks across various economic sectors, the GPT-5.2 Thinking model outperforms or matches human professionals in a high percentage of comparisons for tasks such as creating presentations or spreadsheets.

In numbers, GPT-5.2 Thinking would have generated outputs for GDPval exercises at a higher speed and at a significantly lower cost than that of expert human teams, always under supervision. Although these metrics come from internal tests, they reinforce the idea that the new model is geared towards scenarios where time and cost per task are critical variables.

On the technical front, GPT-5.2 achieves improvements in mathematical reasoning benchmarks and software programmingsurpassing previous benchmarks in tests like SWE-Bench, which are geared towards engineering problems in multiple languages. This translates into better performance when locating errors, implementing new features, and preparing deployments with less manual intervention.

Another key area of ​​improvement concerns the interpretation of images and interface designs. GPT-5.2 demonstrates a more refined understanding of the spatial arrangement of the elements within an image, which helps in tasks such as understanding a data panel, analyzing screenshots or working with complex interface schemes, useful aspects for European teams working on digital product and operational dashboards.

Regarding so-called “hallucinations,” OpenAI notes a significant reduction compared to GPT-5.1, especially in the Thinking variant, which is relevant in business contexts where decisions are increasingly based on AI-generated reportsEven so, the recommendation remains to validate information in critical tasks, something that any European organization should consider within its internal policies for the responsible use of AI.

Availability by user type and subscription plan

In the OpenAI ecosystem, GPT-5.2 is being gradually deployed in ChatGPT for payment plans such as Plus, Pro, Business, and Enterprise. Users can choose between variants like Instant, Thinking, and Pro depending on the nature of the task, with the expectation that GPT-5.1 will be temporarily maintained as a legacy model before its gradual retirement.

Within the Microsoft ecosystem, availability is spread across several products. In Microsoft 365 Copilot, customers with a Copilot-specific license will begin seeing GPT-5.2 in the model selector, with a gradual rollout to all enabled users. Premium subscribers Microsoft 365 users will receive the update somewhat later, following a roadmap that includes both Europe and other markets.

GitHub Copilot, meanwhile, will introduce GPT-5.2 to its Pro, Pro+, Business, and Enterprise plans. permissions adjustment This will be key for Spanish companies: activation at the organizational level falls to the administrators, who will be able to decide whether the new model is allowed in all repositories or restricted to specific projects.

For developers and technical teams working directly with the API, the GPT-5.2 model is now available, allowing custom integrations in internal applications, customer portals, or multichannel support systems. This approach is particularly interesting for European companies that want to maintain greater control over the architecture and flow of data.

This entire rollout is accompanied by a recurring message from Microsoft and OpenAI: the intention to offer a variety of models and not immediately retire previous versions, so that organizations have room to test, compare and migrate without sudden interruptions to their systems.

Implications for companies in Europe

The addition of GPT-5.2 to Copilot and Azure services comes at a time when the European Union is making progress in the regulation of artificial intelligence and strengthens the requirements regarding privacy, security, and transparency. For Spanish companies, this means that the implementation of these models must comply with the GDPR and with the guidelines established by national and EU authorities.

By combining GPT-5.2 with Microsoft 365 and Azure management tools, companies can decide what data is exposed to the model, how access is controlled, and what audit trails are retained. This is especially critical for regulated sectors such as banking, insurance, healthcare, and the public sector in Spain, where any use of AI Documentation concerning clients or citizens must be justified and protected.

In parallel, GPT-5.2 Copilot opens up interesting options for small and medium-sized European companies that until now viewed generative AI as overly complex. Because it is integrated into familiar tools such as Word, Excel, PowerPoint, and Visual Studio Code, the adoption threshold It is reduced and becomes easier to experiment with simple automations: meeting summaries, draft proposals, catalog translation, or code prototyping.

However, adoption is not without its challenges. Organizations will need to define internal usage policies, train their teams to correctly interpret AI suggestions and set clear limits on which tasks can be delegated to a model and which always require thorough human validation, something that European authorities are increasingly recommending.

In a context of global competition, the ability to integrate GPT-5.2 into business processes could become a Differential factor For Spanish companies seeking to improve productivity without proportionally increasing their personnel costs, provided it is combined with a clear data governance and regulatory compliance strategy.

With GPT-5.2 Copilot, Microsoft and OpenAI reinforce the idea that generative AI goes beyond simple conversation: it is geared towards measurable professional tasksFrom automating complex documents and analyses to creating agents that support projects from start to finish, the challenge for organizations in Spain and the rest of Europe will be to leverage this new capability within Copilot, GitHub, and Azure while remaining mindful of the security, accountability, and governance requirements demanded by the European regulatory environment.

Alberto navarro

I am a technology enthusiast who has turned his "geek" interests into a profession. I have spent more than 10 years of my life using cutting-edge technology and tinkering with all kinds of programs out of pure curiosity. Now I have specialized in computer technology and video games. This is because for more than 5 years I have been writing for various websites on technology and video games, creating articles that seek to give you the information you need in a language that is understandable to everyone.

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