Expert Insights: AI PCs and your technology strategy with Microsoft, Intel, and Forrester
Workplace AI will soon be as common as word processors and spreadsheets. 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. But doing so requires a strategic approach to AI adoption that takes advantage of 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.
