Microsoft is taking another major step toward making Windows the premier platform for local AI development. At Build 2026, the company announced a new generation of on-device Small Language Models (SLMs), called Aion 1.0 Instruct and Aion 1.0 Plan, alongside a significant expansion of Windows AI APIs across CPUs, GPUs, and NPUs.
The announcements are part of Microsoft’s broader vision of delivering “unmetered intelligence” on Windows, allowing developers and users to run increasingly capable AI workloads directly on their devices without relying on cloud services.
As AI applications become more sophisticated and privacy concerns continue to grow, Microsoft’s latest investments could accelerate the shift toward powerful on-device AI experiences.
Microsoft Wants AI to Run Locally on Windows
Over the past few years, most AI experiences have relied heavily on cloud computing. Whether it was chatbots, image generation, transcription, or intelligent assistants, requests typically had to be sent to remote servers for processing.
Microsoft believes the next evolution of AI will involve much more intelligence running directly on local devices.
Running AI models locally offers several advantages:
- Lower latency and faster responses
- Improved privacy and data security
- Reduced cloud computing costs
- Offline AI capabilities
- Better performance for real-time applications
With the introduction of Aion 1.0 and expanded Windows AI APIs, Microsoft is laying the foundation for a future where developers can build advanced AI-powered applications that work seamlessly without constant internet connectivity.
Meet Aion 1.0 Instruct
One of the headline announcements from Build 2026 is Aion 1.0 Instruct.
Microsoft describes it as a smaller, faster, and smarter Small Language Model designed specifically for on-device AI workloads. The model is optimized to run efficiently on Windows hardware while still delivering strong performance across a variety of everyday AI tasks.
Developers can use Aion 1.0 Instruct for applications such as:
- Intelligent chat experiences
- Content summarization
- Text generation
- Smart assistants
- Productivity tools
- Context-aware recommendations
Because the model runs locally, developers can provide AI-powered features with minimal delays and greater user privacy.
Aion 1.0 Plan Brings Local Agentic Intelligence
Microsoft also introduced Aion 1.0 Plan, a more advanced reasoning-focused model designed for agentic workflows.
Unlike traditional language models that primarily generate responses, Aion 1.0 Plan is built to help AI systems reason through tasks, create plans, use tools, and execute multi-step workflows.
The model is expected to play an important role in Microsoft’s growing ecosystem of AI agents on Windows.
Potential use cases include:
- Autonomous assistants
- Workflow automation
- Multi-step task execution
- Tool orchestration
- Intelligent software agents
- Enterprise productivity solutions
By bringing these capabilities directly to local devices, Microsoft aims to reduce dependence on cloud-hosted AI services while enabling faster and more responsive agent experiences.
Expanding Windows AI APIs Beyond NPUs
Microsoft is also making Windows AI development more accessible by expanding support for Windows AI APIs across additional hardware platforms.
Until recently, many AI features were optimized primarily for devices equipped with dedicated Neural Processing Units (NPUs). While NPUs remain important for AI acceleration, Microsoft recognizes that millions of Windows PCs rely on traditional CPUs and GPUs.
The company is now extending AI APIs to a much broader range of Windows 11 devices.
This means developers can create AI-powered applications that reach more users without requiring specialized hardware.
Speech-to-Text Comes to CPUs and NPUs
One of the key updates is expanded support for Microsoft’s speech-to-text recognition APIs.
Developers can now leverage speech recognition capabilities across both NPUs and CPUs, enabling voice-powered experiences on a wider range of Windows devices.
Applications can use these capabilities for:
- Voice commands
- Real-time transcription
- Accessibility features
- Voice assistants
- Meeting summaries
The expansion significantly increases the number of Windows PCs capable of running advanced speech intelligence locally.
On-Device Language Models Expand to GPUs
Microsoft is also bringing on-device language model support to capable discrete GPUs.
This is a major development for developers working with local AI models because GPUs often provide substantially more computational power than traditional CPUs for AI inference workloads.
By enabling text intelligence workloads on GPUs, Microsoft is helping developers unlock:
- Faster AI responses
- More capable local models
- Improved multitasking performance
- Better scalability for AI applications
This move could particularly benefit gaming PCs, creator laptops, and workstation-class Windows devices equipped with modern graphics hardware.
Video Super Resolution Comes to CPUs
Another notable announcement is the expansion of Video Super Resolution support to CPUs.
Previously associated primarily with specialized AI hardware, Video Super Resolution can enhance lower-quality video content using AI-powered upscaling techniques.
Bringing this capability to CPUs allows developers to deliver improved video experiences across a broader range of devices while reducing dependence on dedicated AI accelerators.
Why Local AI Matters More Than Ever
The Build 2026 announcements reflect a larger trend across the technology industry.
Organizations increasingly want AI systems that can operate locally due to concerns around privacy, latency, reliability, and cost.
Local AI offers several advantages:
Enhanced Privacy
Sensitive data can remain on the device rather than being transmitted to external servers.
Reduced Cloud Costs
Developers can lower operational expenses by minimizing cloud-based AI processing.
Faster Experiences
Local execution eliminates network delays and enables near-instant responses.
Offline Functionality
Applications can continue working even when internet connectivity is unavailable.
Microsoft’s latest investments suggest the company sees local AI as a critical part of the future Windows ecosystem.
Windows Is Becoming an AI-Native Platform
The introduction of Aion 1.0 Instruct and Aion 1.0 Plan complements a growing portfolio of AI technologies across Windows.
Recent Build announcements have included:
- AI-powered developer tools
- Secure AI agent infrastructure
- Microsoft Execution Containers (MXC)
- Windows AI APIs
- AI-focused developer hardware
- Agent-ready Windows environments
Together, these technologies are transforming Windows from a traditional operating system into an AI-native platform designed for the next generation of intelligent applications.
A Big Win for Developers
For developers, Microsoft’s latest announcements could significantly simplify the process of building local AI experiences.
Instead of relying exclusively on cloud APIs, developers will soon have access to powerful on-device language models, expanded AI acceleration options, and broader hardware compatibility across the Windows ecosystem.
This opens the door to creating faster, more private, and more capable applications that take full advantage of modern Windows hardware.
As Aion 1.0 Instruct, Aion 1.0 Plan, and the expanded Windows AI APIs roll out over the coming months, developers may gain access to one of the most comprehensive local AI platforms available on any operating system today.
Unmetered intelligence delivered on Windows with new on-device SLMs, Aion 1.0 Instruct and Aion 1.0 Plan, and the expansion of Windows AI APIs to more Windows 11 PCs across CPUs and GPUs 🧠 #MSBuild
See how we are helping accelerate local AI development: https://t.co/rzoei6hQ8Y pic.twitter.com/dELJqMtFTq
— Windows Developer (@windowsdev) June 2, 2026
Please follow us on our Facebook page and X account for all latest and breaking Windows and Microsoft related news.
