- Microsoft Build 2025 introduces an open network of agents IA with advances in collaborative tools, protocols and platforms.
- The event highlights the integration of Grok, Copilot, Mistral and NLWeb in the Microsoft ecosystem, along with its own and third-party models.
- The commitment to automation, security, customization, and open standards for developers and businesses is reinforced.
- Ethical development and social responsibility emerge as key challenges in the face of internal protests over military contracts.
Microsoft Build 2025 has once again positioned the company at the forefront of technological innovation, presenting its vision for an era defined by artificial intelligence , advanced automation, and, above all, the opening of the "web agentic," or network of agents. This annual conference, held in Seattle, brought together leading figures such as Satya Nadella, Elon Musk , and Sam Altman, who led discussions and presentations focused on the challenges and opportunities posed by the emergence of increasingly autonomous and connected AI agents.
The event, which took place from May 19 to 22, not only showcased Microsoft's strategic intentions in the technology sector, but also demonstrated how the landscape of software development, scientific research, and enterprise applications is being profoundly transformed by artificial intelligence, collaborative work, and interoperability . All of this unfolded against a backdrop where technological ethics and social responsibility also played a significant role following internal protests that disrupted the opening keynote address.
Open agent network: the new collective bet
The main theme of the event was the construction of an open agent network , in which artificial intelligence agents not only assist users and organizations but also interact, communicate with each other, and make decisions in a coordinated manner. Satya Nadella emphasized the shift from traditional virtual assistants to specialized agents capable of acting autonomously and collaboratively, thanks to shared protocols and open standards . Among these, the Model Context Protocol (MCP) , described as the “USB-C of AI,” facilitates collaboration between different platforms and agents, regardless of the original manufacturer or vendor.
Microsoft emphasized that this network of agents is no longer limited to simple tasks: new developments allow multiple agents to collaborate simultaneously, coordinating complex processes such as workflow management, incident resolution, integration automation, and the personalization of business experiences . All of this is based on a vision of openness, community, and global access to development tools and frameworks.
Copilot, Grok, Mistral and cross-platform AI
One of the standout announcements was the evolution of GitHub Copilot , which has transformed from a simple autocomplete assistant into a fully autonomous agent . It can now perform tasks asynchronously, fix bugs, suggest improvements, migrate applications, and maintain code, as well as autonomously document processes and submit changes for review in repositories. More than fifteen million developers already use Copilot, and hundreds of thousands create custom agents for specific tasks using Copilot Studio.
In the same announcement, the integration of xAI's Grok (both version 3 and 3 Mini) into the Azure AI Foundry ecosystem expands the catalog to over 1.900 AI models available on the Microsoft cloud. Grok stands out for its ability to maintain extended conversations and understand context across millions of tokens, with a focus on error reduction and transparency. Elon Musk himself emphasized the importance of community feedback and honesty in AI development. Microsoft also announced the integration of other popular models such as Mistral, Llama, and DeepSeek , and an expanded partnership with Hugging Face.
On the other hand, new features such as Copilot Tuning were launched , designed to personalize agents according to each company's data, processes, and language . This opens the door to highly tailored AI solutions, from law firms generating specialized documents to consulting firms adjusting their agents' responses to the regulatory needs of each region.
Tools and standards: NLWeb, Windows AI Foundry, and multi-agent orchestration
Microsoft also unveiled NLWeb , an open-source project intended to be the equivalent of HTML for the agentic web. This technology will allow any website to offer direct conversational interaction with AI agents , personalizing the user experience, information formatting, and task automation. NLWeb's compatibility with major language models makes it possible for developers and businesses to integrate intelligent agents into their projects with minimal technical effort.
Alongside this, the launch of Windows AI Foundry and Foundry Local lays the foundation for comprehensive management of the entire AI development lifecycle on Windows systems. Developers can deploy and fine-tune models both locally and in the cloud, with easy-to-use APIs for vision, language, and automation, facilitating the adoption of AI in desktop and enterprise applications.
Multi-agent orchestration in Copilot Studio or Azure Foundry allows you to combine the capabilities of multiple agents to address complex processes together. Businesses can monitor and control the performance, security, and quality of each agent or workflow from a centralized dashboard, with advanced observability tools and agent-specific identity management thanks to Microsoft Entra Agent ID.
Real cases and examples in science, education and society
Microsoft Build 2025 was not only a showcase of technical capabilities but also a platform for practical applications of agentive AI. In healthcare, for example, Stanford Medicine deployed an agent orchestration solution to optimize clinical meetings, using data and scientific literature to inform cancer treatment decisions. In research and development, the Discovery platform accelerated the identification of new materials, such as PFAS-free coolants for data centers, through the use of specialized AI agents.
In education, the joint project with the World Bank stands out , which implemented Copilot in schools in Nigeria and Peru . Teachers have found in AI a tool to personalize educational activities, improve integration, and achieve better academic results. In professional sports, the NFL leverages Azure's capabilities to analyze player data in real time and optimize scouting strategies. And in meteorology, the collaboration with the UK Met Office has led to remarkable advances in the accuracy and speed of weather forecasts.
Among the most notable cases is a father using Foundry to accelerate medical diagnoses for rare diseases, facilitating access to personalized solutions, and South American startups using AI to improve well-being and workplace productivity through gamification.
Infrastructure, security and social responsibility
Another key focus of Build 2025 is the strengthening of cloud infrastructure and security . Microsoft has equipped Azure with over seventy data center regions and announced joint advancements with NVIDIA , such as the integration of Grace Blackwell GB200 components, enabling significantly faster acceleration of AI workloads. Compatibility with the CUDA ecosystem and support for open architectures facilitate the transition and use of hardware in large-scale AI projects.
In terms of security, the company highlighted the integration of Purview for data protection, Defender for agent security, and Entra for identity management . The goal is for businesses and developers to be able to deploy secure, auditable AI solutions that comply with current regulations.
Ethics was also part of the debate, with protesters speaking out during the keynote against Microsoft's relationship with military contracts. This event brought to the fore the social responsibility of those leading the development of such influential technologies, prompting reflection on the limits and control of AI deployment.
Microsoft Build 2025 demonstrates that artificial intelligence, autonomous agents, and interoperability will shape the industry in the coming years. With new platforms, open standards, and a strong focus on security and collaboration, the company aims to democratize access to AI and transform it into a tool for society, knowledge, and responsible innovation.
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