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Now that you understand the hardware foundations and how Copilot+ PCs compare to standard Windows 11 Pro devices, let's look at how these capabilities translate to real-world business scenarios.
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The features covered in the previous section aren't just technical specifications — they address specific challenges that employees and IT teams face every day. This section walks through practical examples of how Copilot+ PCs support common business needs.
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The features covered in the previous section aren't technical specifications—they address specific challenges that employees and IT teams face every day. This section walks through practical examples of how Copilot+ PCs support common business needs.
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:::image type="content" border="true" source="../media/copilot-bloom.png" alt-text="A photograph of a gray laptop showing the Copilot+ PC bloom on the screen.":::
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## Work from anywhere with on-device AI
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Employees who work across offices, client sites, or remotely need devices that keep up without being tethered to a charger or dependent on fast internet connections.
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**Scenario:** A sales consultant prepares for a client meeting during a cross-country flight. They need to review a slide deck, summarize a long email thread, and rehearse their talking points — all without Wi-Fi.
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**Scenario:** A sales consultant prepares for a client meeting during a cross-country flight. They need to review a slide deck, summarize a long email thread, and rehearse their talking points—all without Wi-Fi.
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**How Copilot+ PCs help:**
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- The NPU handles AI tasks like text summarization and content suggestions directly on the device — no internet connection required for on-device AI features.
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- Extended battery life (up to 22 hours of streaming video) means working through a full travel day without searching for an outlet.
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- Fluid Dictation lets the consultant draft follow-up notes using voice input, with real-time corrections — useful in a cab or airport lounge.
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- The NPU handles AI tasks like text summarization and content suggestions directly on the device—no internet connection required for on-device AI features.
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- Extended battery life (up to 22 hours of streaming video) means to work through a full travel day without searching for an outlet.
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- Fluid Dictation lets the consultant draft follow-up notes using voice input, with real-time corrections—useful in a cab or airport lounge.
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> [!NOTE]
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> On-device AI features run locally on the NPU and don't require a cloud connection. Cloud-based features like Microsoft 365 Copilot require an internet connection and an eligible Microsoft 365 license.
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**How Copilot+ PCs help:**
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- Live Captions with translation provides real-time captions translated from 40+ languages to English and from 25+ languages to Chinese (Simplified) — processed on-device by the NPU.
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- Windows Studio Effects uses the NPU to enhance video call quality with portrait blur, eye contact correction, voice focus, and auto-framing — so the project manager looks and sounds professional regardless of their environment.
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- Live Caption with translation provides real-time captions translated from 40+ languages to English and from 25+ languages to Chinese (Simplified)—processed on-device by the NPU.
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- Windows Studio Effects uses the NPU to enhance video call quality with portrait blur, eye contact correction, voice focus, and autoframing—so the project manager looks and sounds professional regardless of their environment.
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Because Live Captions and Windows Studio Effects run on the NPU, AI processing is handled separately from the CPU. This means video call quality stays smooth even when running other applications at the same time.
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**How Copilot+ PCs help:**
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- Improved Windows search with federation understands descriptive queries — the manager can search for "brand guidelines with the blue logo" instead of needing an exact file name.
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- Improved Windows search with federation understands descriptive queries—the manager can search for "brand guidelines with the blue logo" instead of needing an exact file name.
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- Search results unify local files and cloud content in a single experience, so there's no need to check multiple locations separately.
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- Click to Do can analyze content on screen and suggest relevant next steps — such as opening a discovered file in another app or copying text and visuals for reuse.
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- Click to Do can analyze content on screen and suggest relevant next steps—such as opening a discovered file in another app or copying text and visuals for reuse.
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## Configure devices without IT support
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**How Copilot+ PCs help:**
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- Agent in Settings lets the user describe what they want in natural language — for example, "set up my second monitor on the left side" — and the agent suggests and applies the configuration changes.
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- Agent in Settings lets the user describe what they want in natural language—for example, "set up my second monitor on the left side"—and the agent suggests and applies the configuration changes.
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- This reduces support tickets for routine configuration tasks, freeing up IT staff for higher-priority work.
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## Secure sensitive data from day one
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Organizations handling sensitive data need assurance that devices are secure from the moment they're unboxed — without relying on IT to manually configure protections.
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Organizations handling sensitive data need assurance that devices are secure from the moment they're unboxed—without relying on IT to manually configure protections.
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**Scenario:** A healthcare organization deploys 200 new Copilot+ PCs to clinical staff who handle patient records. The IT team needs hardware-level security enabled from day one without configuring each device individually.
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**Scenario:** A healthcare organization deploys 200 new Copilot+ PCs to clinical staff who handles patient records. The IT team needs hardware-level security enabled from day one without configuring each device individually.
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**How Copilot+ PCs help:**
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## Build custom AI solutions on-device
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Some organizations need AI capabilities tailored to their specific workflows — not just the built-in features that ship with Windows.
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Some organizations need AI capabilities tailored to their specific workflows—not just the built-in features that ship with Windows.
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**Scenario:** A logistics company wants to build an internal application that uses AI to optimize delivery routes based on real-time traffic and weather data, running locally on employee devices for faster response times.
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- Windows AI Foundry provides a development framework for building AI-powered applications that run locally on Windows, taking
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advantage of the NPU for on-device inference.
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- Organizations can integrate open-source models and custom models with the NPU to create solutions tailored to their business needs.
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- On-device processing keeps sensitive operational data local, reducing latency and supporting data residency requirements.
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- On-device processing keeps sensitive operational data local, reducing latency, and supporting data residency requirements.
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> [!NOTE]
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> Windows AI Foundry is aimed at developers and IT teams build custom solutions. For more information, see [Introduction to Microsoft Foundry on Windows](https://learn.microsoft.com/en-us/training/modules/introduction-microsoft-foundry-windows/).
In earlier sections, you learned what an NPU is and how Copilot+ PCs use it to power real-world business scenarios. This section takes a closer look at *why* the NPU is a significant shift in PC architecture — and what it means for the future of Windows as a platform for AI.
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In earlier sections, you learned what an NPU is and how Copilot+ PCs use it to power real-world business scenarios. This section takes a closer look at *why* the NPU is a significant shift in PC architecture—and what it means for the future of Windows as a platform for AI.
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## Seeing the difference: CPU vs. GPU vs. NPU
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:::image type="content" border="true" source="../media/processor-speed.gif" alt-text="Illustrative comparison of image loading speeds on an NPU, GPU, and CPU.":::
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All three processors completed the task — but the results were very different:
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All three processors completed the task—but the results were different:
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| Processor | Speed | Energy use | Heat generated |
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|---|---|---|---|
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|**CPU**| Slowest | Highest | Most |
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|**GPU**| Moderate | Moderate | Moderate |
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|**NPU**| Fastest | Lowest | Least |
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The NPU completed the task faster while generating less heat and using significantly less energy. This efficiency is what enables Copilot+ PCs to run AI features continuously — like Live Captions or Windows Studio Effects during a video call — without draining battery life or slowing down other applications.
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The NPU completed the task faster while generating less heat and using less energy. This efficiency is what enables Copilot+ PCs to run AI features continuously—like Live Captions or Windows Studio Effects during a video call—without draining battery life or slowing down other applications.
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> [!TIP]
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> This demonstration illustrates a key concept: the NPU isn't just faster at AI tasks — it's more *efficient*. In a business context, efficiency means employees can use AI features throughout the workday without carrying a charger or closing other apps to free up resources.
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> This demonstration illustrates a key concept: the NPU isn't faster at AI tasks—it's more *efficient*. In a business context, efficiency means employees can use AI features throughout the workday without carrying a charger or closing other apps to free up resources.
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## How on-device AI changes the computing model
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Traditionally, AI processing has relied on cloud-based services — sending data to a remote server, processing it there, and returning the results. This approach works well for many scenarios, but it introduces latency, requires an internet connection, and means sensitive data leaves the device.
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Traditionally, AI processing has relied on cloud-based services—sending data to a remote server, processing it there, and returning the results. This approach works well for many scenarios, but it introduces latency, requires an internet connection, and means sensitive data leaves the device.
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The NPU in Copilot+ PCs enables a different model: **on-device AI processing**. With an NPU capable of 40+ TOPS, many AI tasks can run locally — directly on the hardware—without sending data to the cloud. In many real-world workflows, AI processing happens in a hybrid model. Some tasks run locally on the device using the NPU for speed, privacy, or offline access, while more complex requests rely on cloud-based AI services. Copilot+ PCs are designed to support this approach by balancing on-device intelligence with cloud processing as needed.
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The NPU in Copilot+ PCs enables a different model: **on-device AI processing**. With an NPU capable of 40+ TOPS, many AI tasks can run locally—directly on the hardware—without sending data to the cloud. In many real-world workflows, AI processing happens in a hybrid model. Some tasks run locally on the device using the NPU for speed, privacy, or offline access, while more complex requests rely on cloud-based AI services. Copilot+ PCs are designed to support this approach by balancing on-device intelligence with cloud processing as needed.
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| Processing model | How it works | Best suited for |
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|**Cloud-based AI**| Data is sent to a remote service for processing and results are returned over the internet | Complex tasks requiring large models, cross-organizational data queries, scenarios where internet is available |
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|**On-device AI**| Data is processed locally on the NPU without leaving the device | Low-latency tasks, offline scenarios, privacy-sensitive workloads, real-time features like captions and video effects |
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|**Hybrid AI**| Some tasks run locally on the NPU while others are handled by cloud services, depending on the workload | Organizations that need both real-time on-device features and cloud-powered intelligence like Microsoft 365 Copilot |
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Copilot+ PCs support all three models. On-device features like Live Captions, Windows Studio Effects, and Click to Do run on the NPU. Cloud-based features like Microsoft 365 Copilot use cloud processing. Many workflows combine both — for example, using on-device search to find a local file, then using Microsoft 365 Copilot to summarize its contents.
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Copilot+ PCs support all three models. On-device features like Live Captions, Windows Studio Effects, and Click to Do run on the NPU. Cloud-based features like Microsoft 365 Copilot use cloud processing. Many workflows combine both—for example, using on-device search to find a local file, then using Microsoft 365 Copilot to summarize its contents.
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## Windows as a platform for AI
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This platform approach includes:
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-**On-device AI processing** through the NPU, enabling faster response times and reducing dependency on cloud connectivity for supported features.
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-**AI agents within Windows** that can reason, plan, and take actions on behalf of users — such as configuring device settings through natural language or suggesting next steps based on on-screen content.
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-**AI agents within Windows** that can reason, plan, and take actions on behalf of users—such as configuring device settings through natural language or suggesting next steps based on on-screen content.
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-**Windows AI Foundry** for building custom AI-powered applications that take advantage of local hardware acceleration alongside cloud services.
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-**IT governance and control** through Microsoft Intune, allowing organizations to manage which AI capabilities are available and how agents interact with organizational data.
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The combination of on-device AI, cloud intelligence, and platform governance creates a practical model for organizations adopting AI at scale:
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-**Employees** get faster, more responsive AI features that work even without an internet connection — improving productivity in the field, during travel, or in low-connectivity environments.
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-**Employees** get faster, more responsive AI features that work even without an internet connection—improving productivity in the field, during travel, or in low-connectivity environments.
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-**IT teams** maintain control over AI capabilities through familiar management tools, with security features enabled by default and agent behavior governed at the policy level.
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-**Developers** can build custom AI solutions using Windows AI Foundry, integrating open-source and proprietary models that run locally on the NPU — keeping sensitive data on-device while still connecting to cloud services when needed.
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-**Developers** can build custom AI solutions using Windows AI Foundry, integrating open-source and proprietary models that run locally on the NPU—keeping sensitive data on-device while still connecting to cloud services when needed.
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When discussing Copilot+ PCs with business decision-makers, the platform story is often the most compelling angle: these aren't just faster PCs — they're the foundation for how the organization will build, deploy, and manage AI going forward. The NPU is a critical piece of that foundation, enabling a new class of AI-powered experiences that are efficient, responsive, and secure.
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When discussing Copilot+ PCs with business decision-makers, the platform story is often the most compelling angle: these aren't faster PCs—they're the foundation for how the organization builds, deploy, and manage AI going forward. The NPU is a critical piece of that foundation, enabling a new class of AI-powered experiences that are efficient, responsive, and secure.
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