February 06, 2026

What IT teams should know about NPUs, performance gains, and how to choose devices that kickstart your future

Decoding NPUs for real-world impact

Devices that promise AI acceleration are flooding the market, but what do they actually do for your daily workflows? Selecting hardware without the right context can impact productivity, introduce potential security challenges, and make it harder for teams to adapt to changing demands.

At its most basic level, an NPU (neural processing unit) is a processor designed specifically to run AI tasks quickly and efficiently on the device. But for technical decision makers, it’s about understanding what the NPU enables: faster spreadsheet calculations, automated data processing, smarter endpoint security, and seamless collaboration across hybrid teams. Without this clarity, you could risk:

• Overinvesting in features your team won’t fully use.
• Falling behind peers who optimize AI-ready devices effectively.
• Missing embedded security protections designed to prevent breaches.

How NPUs speed up work and secure your devices

At a high level, a neural processing unit is a processor built specifically to run AI workloads locally on the device. Unlike traditional CPUs, NPUs accelerate tasks like image recognition, predictive analytics, and real-time data processing, meaning apps respond faster, algorithms run on-device, and your team spends less time waiting for machines to catch up.

Here’s where NPUs make a tangible difference in your daily operations:

• Automated workflows: Data entry, report formatting, and analytics can run locally, freeing IT to focus on higher-value projects. Forrester’s 2025 Total Economic Impact™ study found that organizations deploying AI PCs with NPUs reported up to 30% faster completion of routine tasks, reducing IT overhead and improving employee productivity.
• Enhanced security: On-device AI can analyze behavior patterns in real time, stopping potential breaches before they escalate. Microsoft’s 2025 Digital Defense Report shows AI-assisted threat detection can cut breach response time by 40%, helping IT teams contain incidents before they escalate.
• Remote readiness: Lightweight AI processing reduces reliance on high-bandwidth connections, making hybrid work smoother. 

These aren’t marketing perks. They’re real efficiency gains, productivity improvements, and risk mitigations that IT teams can measure. And propel their business forward.

What to look for when assessing next-generation hardware

Evaluating AI-ready devices doesn’t need to be guesswork. Focus on these four key areas:

1. Real-world performance over specs: Test devices using the apps and workflows your team relies on. Are spreadsheets, collaboration tools, and dashboards faster? Is AI processing local or cloud-dependent? Look for measurable productivity gains.
2. Security coordination: Check for features like encrypted AI computations, secure boot, and AI-assisted threat monitoring. The right hardware doesn’t just speed work. It strengthens your security posture.
3. Hybrid and remote workflow support: NPUs that handle local AI tasks efficiently minimize dependency on constant network connectivity and reduce downtime.
4. Communicating value: Show stakeholders the numbers: faster task completion, automation coverage, and local AI efficiency. IT spend is easier to justify when it’s tied to tangible outcomes.

Building an AI-ready device strategy that stands the test of time

Start by auditing current devices and identifying tasks where local AI processing can save time or reduce errors. Then, evaluate options with NPUs that align with those needs. Roll out in phases, giving IT teams time to configure, test, and train users without disrupting operations.

The goal isn’t adopting new tech just to keep up. It’s strategically integrating AI-ready hardware that complements your team, automates repetitive work, helps enhance security, and supports long-term adaptability.

Turning hardware upgrades into real business wins

Incorporating devices that keep pace with your team creates positive ripples across your entire organization:

• Employees spend less time waiting for apps and dashboards.
• Security improves with AI-assisted insights, spotting issues before they become critical.
• IT gains breathing room to plan strategically instead of constantly reacting.

AI-ready devices with NPUs aren’t just an upgrade. They’re an operational advantage, giving IT teams clarity, speed, and resilience to handle growing workloads efficiently and securely.

Ready to let intelligent devices do the heavy lifting?

When AI-ready devices take on the compute-intensive work, your team gets back time for higher-value tasks like incident response, configuration management, and long-term planning. It’s a direct path to fewer bottlenecks, stronger endpoint protection, and smoother workflows across your environment.

Surface for Business devices combine premium design with enhanced Microsoft security and productivity tools to help organizations thrive in today’s hybrid world and keep your business moving forward:

• Security: Chip-to-cloud protection delivers enterprise-grade security across hardware, firmware, software, and identity layers, helping safeguard sensitive data.
• Performance: Optimized for Windows 11 Pro and modern workloads, Surface provides fast, reliable performance to keep pace with your business needs.
• Versatility: Flexible form factors and accessories empower employees to work their way whether at a desk, on the go, or in collaborative spaces.
• Productivity: Seamless integration with Microsoft 365 ¹ and AI-powered tools like Microsoft 365 Copilot ² enables smarter workflows and faster decision-making.

Discover how Surface for Business helps you stay secure, productive, and ready for what’s next, wherever work happens.