Microsoft Annual Developer Conference: Windows Moves Towards the "Intelligent Era," Betting on the Next Generation of Computing Revolution to Accelerate Independence from OpenAI

According to Zhitong Finance APP, on June 2 local time, Microsoft's (MSFT.US) annual developer conference Build 2026 officially opened. Unlike the past few years, which focused on Copilot upgrades or cloud service innovations, this year's Build conference centered almost entirely around the core theme of AI agents.

From the Surface RTX Spark Dev Box capable of running hundred-billion-parameter models locally, to the Windows development platform that natively supports Linux containers and smart terminals; from the resident AI assistant Scout built on OpenClaw, to Microsoft's first inference model MAI-Thinking-1; and to the new operating system Project Solara for smart agent devices, as well as the Microsoft Execution Containers (MXC) that provide a secure isolation mechanism for AI agents, Microsoft showcased a clear vision of the future: Windows is evolving from a traditional operating system into a foundational platform for the era of intelligent agents.

Over the past three years, competition among large models has dominated the direction of the artificial intelligence industry. However, as model capabilities gradually converge, the focus of industry competition is shifting from "who has the strongest model" to "who can build the strongest AI ecosystem."

Build 2026 is Microsoft's answer to this question.

Windows is no longer just an operating system

Pavan Davuluri, head of Microsoft's Windows and Devices business, stated at the conference that Microsoft is building Windows as the most trusted platform for developers. This reflects Microsoft's rethinking of future computing models.

For the past forty years, the main task of Windows has been to run applications. Users opened browsers, Office, Photoshop, and various enterprise software using a mouse and keyboard to complete their work. However, in the AI era, Microsoft believes that an increasing number of tasks will be completed by intelligent agents. In the future, users will no longer need to operate software personally but will describe their goals to AI agents, which will automatically execute tasks.

From writing emails and scheduling meetings to coding and deploying applications, a large number of workflows will be handled by intelligent agents.

In this model, the target audience for Windows services will no longer be just human users but a multitude of AI agents running within the system.

The Intelligent Terminal released at the Build conference embodies this idea.

Microsoft has directly embedded intelligent agent capabilities into Windows Terminal, allowing developers to call AI to complete code writing, debugging, querying, and complex task execution without switching chat windows.

At the same time, Microsoft also announced the launch of WSL Containers, integrating Linux container capabilities directly into the Windows system. In the future, developers will be able to create, manage, and run Linux containers directly in the Windows environment, while intelligent agents will also be able to more efficiently call relevant resources to complete tasks Microsoft has even introduced the Coreutils toolset, widely used in the Linux ecosystem, into the Windows environment for the first time. These command tools, originally belonging to the world of Linux servers, can now run directly on Windows.

On the surface, this is an upgrade in the development experience; but the deeper significance is that Microsoft is making Windows a more suitable operating system for AI agents.

Surface RTX Spark Dev Box: Creating a New Platform for AI Development

On the hardware front, one of the most notable products at Build 2026 is the Surface RTX Spark Dev Box.

This mini development host is equipped with NVIDIA's (NVDA.US) latest RTX Spark platform, featuring a combination of Arm Holdings (ARM.US) architecture CPU and Blackwell GPU, and comes with up to 128GB of unified memory. Microsoft states that this device can run large models with up to 120 billion parameters locally.

Unlike traditional development computers, the Surface RTX Spark Dev Box is designed from the ground up for AI development scenarios.

Microsoft has pre-installed development tools such as Visual Studio Code and GitHub Copilot on the device, and has specifically optimized Windows 11 Pro, including enabling a dark theme by default, simplifying the taskbar, removing the Widgets component, and enabling developer mode.

In recent years, most AI applications have relied on cloud data centers for operation. However, with advancements in model compression technology and terminal computing power, an increasing number of inference tasks are returning to local devices.

For enterprise customers, running models locally not only reduces latency and cloud computing costs but also helps protect data privacy.

Therefore, the Surface RTX Spark Dev Box is more like a "developer testing ground" that Microsoft has prepared for the era of intelligent agents.

Scout Debuts: Microsoft Embraces the OpenClaw Ecosystem

If Copilot is an AI assistant, then Microsoft's newly launched Scout is closer to a digital secretary. At the Build conference, Microsoft officially released Scout, a resident AI assistant built on OpenClaw.

It is worth noting that OpenClaw is one of the fastest-growing open-source intelligent agent frameworks this year, and its influence has been regarded by many industry insiders as the "Linux moment" of the intelligent agent era.

Microsoft has previously built its AI ecosystem around Copilot, but this time it is directly embracing OpenClaw, sending an important signal: Microsoft aims to be a significant participant in the intelligent agent ecosystem, rather than being limited to its own platform.

Scout can deeply collaborate with Microsoft 365 applications such as Outlook, OneDrive, and Teams. It can help users organize emails, manage expense processes, schedule meetings, and draft documents, while also continuously monitoring users' work status and proactively executing tasks For example, when it detects that a user is about to attend an important meeting, Scout can proactively organize background information; when traffic congestion may affect the schedule, it can actively remind the user of the best departure time.

Microsoft stated that over 3,000 employees are currently participating in the internal testing of Scout. Meanwhile, Scout will become an important part of Microsoft's "Autopilot Agents" system in the future, with each agent having an independent identity and professional capabilities.

For enterprise users, this means that in the future, each employee may have multiple digital employees working collaboratively by their side.

Accelerating the move away from reliance on OpenAI

In addition to the agent layout, another highly anticipated update from Build 2026 comes from Microsoft's self-developed model system. During the conference, Microsoft released seven new models at once, with the most notable being the first reasoning model MAI-Thinking-1.

Microsoft stated that this model has 35 billion active parameters and a 128K context window, focusing on complex multi-step reasoning, long text analysis, and code generation tasks.

Reasoning models are considered an important direction for the next phase of AI competition. Compared to traditional large models, reasoning models are better at solving complex problems and can simulate human-like thought processes.

In addition to MAI-Thinking-1, Microsoft also updated model products covering various fields such as image generation, speech generation, code generation, and speech transcription. This series of actions shows that Microsoft is continuously enhancing its AI foundational capabilities and gradually reducing its reliance on OpenAI's model system.

For the capital market, this means that Microsoft will have greater strategic autonomy in the AI field in the future.

The era of agents first needs to address security issues

As the capabilities of agents continue to enhance, they will have access to more and more core enterprise data. Emails, meeting notes, financial documents, and customer information may all become objects that agents can call upon.

Therefore, security issues are becoming the biggest concern for enterprises deploying agents. To address this challenge, Microsoft has launched Microsoft Execution Containers (MXC).

MXC allows developers to set strict access boundaries for agents and run them in isolated sandbox environments. Microsoft has also simultaneously launched the OpenClaw Companion application to help users deploy and manage agents.

In the future, whether it is Scout or other third-party agents, they will be able to operate in a security-controlled environment.

For Microsoft, the importance of this technology is even comparable to the agents themselves. Because only by addressing enterprise security issues can agents truly have the opportunity to enter core business processes.

Project Solara: Betting on the future of agent hardware

In addition to PCs, Microsoft also announced a forward-looking plan called Project Solara.

This is a new operating system platform specifically designed for AI agent devices. Unlike Windows, Project Solara is built on the Android base and is jointly developed by Microsoft, Qualcomm, and MediaTek Microsoft showcased two reference designs. One resembles a desktop smart terminal that can wake up the intelligent agent through facial recognition; the other resembles a smart badge, equipped with a camera and biometric capabilities, capable of real-time recording and understanding the user's environment.

Microsoft stated that in the future, intelligent agents will no longer be confined to computers but will be able to work collaboratively across devices.

Tasks can flow freely between PCs, desktop terminals, and wearable devices.

Although Microsoft will not personally sell related products in the short term, Project Solara indicates that the company has begun to lay out plans for the next generation of AI hardware ecosystems.

Release of the second-generation topological quantum chip Majorana 2

In addition to artificial intelligence, Microsoft also updated its quantum computing roadmap. At the Build conference, Microsoft released the second-generation topological quantum chip Majorana 2. Microsoft stated that the stability of quantum bits in the new chip has improved by over 1000 times compared to the previous generation, with some quantum bits having lifetimes exceeding one minute.

Microsoft attributes this breakthrough to a new material system, including lead-based superconductors and improved semiconductor structures.

Meanwhile, Microsoft also announced the opening of the Microsoft Discovery platform.

This platform has previously been used to assist in the development of the Majorana chip and will be opened to research institutions in the future, helping researchers accelerate material discovery and drug development through intelligent agent workflows.

Microsoft expects that, based on the current research and development progress, the company is likely to achieve a quantum computer with practical commercial value by 2029.

Paving the way for Jensen Huang's intelligent agent PC blueprint

If we look at Build 2026 in isolation, we see a series of product layouts by Microsoft centered around intelligent agents. However, if we extend the timeline to the previously held Computex 2026 conference, the strategic logic behind these releases becomes clearer.

NVIDIA CEO Jensen Huang proposed in his keynote speech at Computex that personal computers are undergoing the most significant transformation since their inception forty years ago.

He believes that in the future, users will interact less directly with software and instead complete tasks through AI intelligent agents. To achieve this goal, NVIDIA launched the RTX Spark platform, aiming to create a new generation of PCs specifically for the intelligent agent era.

The Windows intelligent agent framework, Surface RTX Spark Dev Box, Microsoft Scout, and Project Solara released at the Microsoft Build conference complement the software and ecosystem aspects of this blueprint.

To some extent, Microsoft is taking on the role of "operating system provider" in the intelligent agent era. NVIDIA provides the AI computing power platform, Arm provides the underlying CPU architecture, while Microsoft is responsible for building the software ecosystem that runs intelligent agents. Together, these three companies are painting a future picture of redefining computing platforms around intelligent agents.

Looking back at Microsoft's history over the past forty years, the greatest success of Windows has been to become the core platform of the application software ecosystem The signals released by Build 2026 indicate that Microsoft hopes to replicate this success in the next decade. The difference this time is that the main characters on the platform are no longer applications, but intelligent agents.

If the past computing era belonged to software, then the future that Microsoft is betting on belongs to intelligent agents