Understanding the opportunity of Copilot+ PCs: Five benefits for businesses
AI is accelerating. Is your business ready? There’s a growing need for end-to-end technology strategies that include Copilot+ PCs. 75% of global knowledge workers are already using AI tools. 1 Choosing the right endpoints can help you capture the best possible ROI from your AI investment. Copilot+ PCs provide powerful on-device processing to elevate employee productivity, enhance collaboration, and drive innovation. To unlock the full benefits of Copilot+ PCs, it's important to understand how they work and what they can do. This blog defines this new device category and explores its benefits to help you make informed decisions for your business. What is a Copilot+ PC? A Copilot+ PC includes a neural processing unit (NPU). This specialized chip processes AI workloads locally with high performance and efficiency. That creates new possibilities for on-device experiences, including content and image generation, optimizing the performance of AI models and apps, and accelerating compute. CPUs and GPUs can also process AI workloads, but NPUs are specially designed for the task. NPU performance is measured in trillion operations per second (TOPS). NPUs handle AI workloads with extraordinary efficiency. The latest chips are optimized to perform trillions of operations using less than 10 watts of power to deliver strong AI processing while extending battery life. Align the benefits of Copilot+ PCs with your strategic priorities Employees are eager to use AI to save time, accelerate productivity, and get more enjoyment out of their work. 1 The benefits are already tangible, and this device class is highly likely to pay dividends as AI technology continues to advance. Devices designed for AI can help business and IT leaders meet strategic goals in five crucial areas. Empowering talent Getting AI into your workers’ hands means they have more ways to benefit from AI. They’ll be able to take advantage of new NPU-dependent software features sooner. Enhancing experiences PCs with premium hardware and software experiences working in tandem give employees more and better ways to interact with AI tools. Examples include high-quality microphones and voice recognition that enable more accurate AI commands or vibrant screens that make the most of AI image generation capabilities. Unlocking innovation Developers who build apps that use local AI need devices with powerful onboard processing. As AI app development becomes more prevalent, Copilot+ PCs will gain even greater relevance. Outpacing competition AI is a rapidly evolving technology. Organizations with the right endpoints will be in a better position to stay ahead of the pack as new solutions appear. Reinforcing security Features like multi-factor authentication, hardware-based threat protection, and a secure supply chain matter more than ever in this data-dependent AI era. Devices built for enterprise-grade security and privacy enable AI adoption with peace of mind and help your business stay ahead of emerging threats. Devices matter to the success of your AI strategy Understanding the technology behind Copilot+ PCs bolsters your strategic adoption of AI. It helps you choose the devices that suit your vision. Microsoft Surface Copilot+ PCs and Copilot+ PCs accelerate AI ROI by helping you engage employees, boost collaboration, streamline IT, strengthen security, and drive innovation. Start capturing the AI opportunity today. Read the e-book for a step-by-step guide to creating your AI device strategy: https://info.microsoft.com/ww-landing-capturing-the-opportunity-of-microsoft-surface-copilot-plus-pCs.htmlExpert Insights: AI PCs and your technology strategy with Microsoft, Intel, and Forrester
Workplace AI is becoming as common as word processors and spreadsheets. And tangible AI benefits like better decision-making, increased productivity, and better security will soon become must-haves for every business. Early movers have an opportunity to gain a competitive advantage with AI adoption. But doing so requires a strategic approach to device choice that leverages technological advancements early—such as laptops and 2-in-1s with breakthrough AI capabilities. These devices are now easy for any business to obtain in the form of AI PCs from Microsoft Surface. Because they contain a new kind of processor called an NPU, they can run AI experiences directly on the device. Just as CPU and GPU work together to run business applications, the NPU adds power-efficient AI processing for new and potentially game-changing experiences that complement those delivered from the cloud. In a recent Microsoft webinar with experts from Forrester and Intel, leaders discussed how a thoughtful AI device strategy fuels operational success and positions organizations for sustained growth. In this blog post, we’ll examine a few key areas of AI device strategy. For more, watch the full webinar here: How device choice impacts your AI adoption strategy Focusing on high-impact roles An effective AI device strategy requires organizations to identify roles that gain the most value from AI capabilities. Data-centric functions—such as developers, analysts, and creative teams—depend on high-speed data processing, and AI-ready devices help these employees manage complex workflows, automate repetitive tasks, and visualize data-driven insights in real time. Choosing AI-enabled endpoints is not just about the NPU. High-resolution displays and optimized screen ratios, for example, support high-impact roles by providing ample workspace for AI-assisted analysis, modeling, and design work. Starting with on-device AI for these functions helps drive rapid value and motivates other teams to see the potential in AI-powered workflows. The phased rollout of AI devices builds a foundation for broader AI integration. Data governance remains central to technology’s advantage Data privacy and security enable confident adoption of AI tools. One benefit of devices with NPUs is that they allow AI to be used in scenarios where sending data to the cloud is not feasible. It’s also important to consider the general security posture enabled by a device. Hardware-based security features such as TPM 2.0 and biometric authentication help protect device integrity, supporting AI usage within a secure framework. With built-in protections that include hardware encryption, secure user authentication options, and advanced firmware defenses, AI-enabled devices create a trusted environment that upholds privacy standards and aligns with organizational compliance requirements. Choosing devices like Microsoft Surface that fit seamlessly into a wide range of device management setups supports faster adoption and reduces risk. Balancing advanced AI features with stable performance AI-enabled devices bring unique processing capabilities that don’t compromise the reliability of core functions. Specialized processors dedicated to AI workloads manage intensive tasks without drawing from the main CPU, preserving battery life and maintaining consistent performance. This balanced approach supports both advanced AI capabilities and essential day-to-day operations, providing employees with stable, responsive tools that adapt to their needs. AI-driven interactions, like responsive touch, intuitive inking, and enhanced image processing, further improve user experience. High-quality cameras and intelligent audio capture, for instance, optimize interactions in virtual meetings and collaboration, making these devices versatile and effective across different work scenarios. By focusing on the user experience, organizations empower teams to take full advantage of technology without a steep learning curve. Aligning IT and business goals for an effective AI strategy A strong AI device strategy brings together IT priorities and broader business objectives. While IT teams focus on security, manageability, and integration with existing infrastructure, business leaders aim to increase efficiency and support innovation. Aligning these goals enables a smooth AI adoption process, allowing organizations to leverage AI’s capabilities while meeting essential technical requirements. Strategically investing in devices with integrated security and manageability features, such as remote management of device settings and firmware updates, gives IT greater control over deployment and maintenance. This integrated approach allows organizations to keep their AI device strategy aligned with long-term goals, reducing the need for costly upgrades and enabling teams to work within a secure, adaptable tech environment. Supporting employee workflows with AI tools AI-enabled devices enhance productivity by automating repetitive tasks and giving employees more time to focus on high-value work. Tools like intelligent personal assistants and voice-driven commands support employees by streamlining tasks that would otherwise require manual effort. Enhanced typing experiences and personalized touch interactions improve user engagement, making AI tools easier to integrate into everyday workflows. With customizable features and inclusive design options, AI-enabled devices make advanced technology accessible to all team members, increasing satisfaction and reducing turnover. By enabling employees to focus on higher-level work, organizations can create an environment that supports meaningful productivity and helps retain talent. Proactive IT management with AI-driven insights Beyond the device, AI also offers new capabilities for device management, allowing IT teams to proactively monitor and resolve potential issues. By analyzing device usage patterns, AI can detect anomalies early, enabling IT to address risks before they impact employees. This shift from reactive to proactive management improves device reliability and reduces downtime, freeing IT resources to focus on broader strategic initiatives. Integrated AI security tools also improve protection, identifying threats as they emerge and securing devices with minimal manual intervention. With insights derived from AI-driven monitoring, IT teams can maintain secure, reliable systems that enhance overall operational stability. Crafting a forward-looking AI device strategy A structured AI device strategy prioritizes both immediate and long-term ROI by examining where new technology can have the greatest impact while also enhancing existing capabilities. By acting early, organizations position themselves to gain speed with AI and adopt the latest advancements as they are released. Whether you’re beginning with AI or looking to expand its role, a well-designed AI device strategy keeps your organization prepared for growth. To explore how AI-enabled devices can drive your team’s success, gain insights from experts at Forrester and Intel by watching the webinar: How device choice impacts your AI adoption strategy.3 Zero Trust strategies for cyber resilience with Surface devices
While the Zero Trust security model has been around for a number of years, pressure to incorporate these security strategies has increased. Growing cyber threats mean it’s likely not a matter of ‘if’ an organization is breached, but ‘when’. According to Forrester, three-quarters of organizations reported one or more incidents in the past 12 months.[1] Cyber insurance companies are requiring policyholders to implement strategies like multifactor authentication (MFA). Even the US government is mandating that all federal agencies adopt Zero Trust architecture by 2024. [1] "Top Cybersecurity Threats In 2023," Forrester Research, Inc., 17 April 2023.
