As artificial intelligence (AI) reshapes the workplace, IT leaders face a pivotal moment to reassess PC infrastructure, address evolving privacy demands, and align on long-term strategies for what’s next.
The modern workplace is undergoing the most transformative era since the dawn of the internet, with artificial intelligence PCs emerging as a driving force in redefining productivity, security, and enterprise IT management.
But unlike previous hardware refresh cycles, AI PCs represent a foundational shift in how businesses operate — leveraging AI to create smarter, more efficient, and agile organization. According to a recent IDC survey, AI PC adoption is surging, with 82% of ITDMs surveyed expected to acquire AI PCs before the end of 2025.
This rapid adoption underscores a growing recognition: Artificial intelligence PCs are not just an upgrade — they are a necessity for businesses looking to stay competitive in an AI-driven world. Today, ITDMs have an enormous opportunity in front of them. As they evaluate their strategic roadmaps, ITDMs must consider how artificial intelligence PCs fit into their strategies to ensure their organizations are prepared for the next wave of workplace evolution.
A balancing act: Cloud and local AI adoption
AI PCs are reshaping how businesses approach AI workloads, offering a compelling alternative to cloud-based computing. The cloud remains the go-to for many AI applications due to its unmatched scale and processing power. However, with dedicated NPUs and high-performance CPUs and GPUs, AI PCs are proving to be a competitive force in enterprise computing, delivering strong AI performance for business tasks while maintaining energy efficiency.
By executing AI workloads locally, AI PCs help organizations reduce latency, optimize performance, and enhance privacy, making them a viable complement—or even an alternative—to cloud-based applications.
This shift enables businesses to empower employees with real-time AI-driven assistance, including automated content generation, advanced data analysis, and workflow optimization, without relying solely on cloud computing. By striking a balance between cloud and local AI, businesses can ensure optimal performance while maintaining control over sensitive data, fostering a more secure, efficient, and productive work environment.
For ITDMs, security, privacy, seamless deployment, and efficient management are essential priorities in the modern enterprise. AI PCs are not just enhancing individual productivity—they are also transforming enterprise IT operations by addressing these critical needs at scale. Managing large device fleets has long been a challenge, but modern enterprise AI PCs offer advanced security protocols, AI-driven automation, and simplified deployment tools that reduce the complexity of IT operations.
A smarter, more streamlined approach to IT management
Additionally, built-in privacy and security frameworks ensure on-device data protection, and local AI applications, reducing reliance on external networks and minimizing vulnerabilities.
By integrating these new PCs into their IT strategies, businesses can create a more resilient, automated, and cost-effective infrastructure, enabling IT teams to focus on innovation rather than reactive problem-solving.
Privacy and data security: AI-driven protection for a changing workplace
Beyond compliance, AI PCs empower businesses to customize security and privacy measures in ways cloud-based solutions cannot. By analyzing user behavior in real time, AI PCs can proactively detect and respond to potential security threats, automate data encryption, and enforce privacy policies at an individualized level.
This combination of intelligent security automation and localized AI processing ensures that businesses maintain control over their most valuable digital assets while enhancing workplace trust and regulatory adherence.
A critical opportunity for ITDMs
ITDMs are already investing in AI PCs, with 73% reporting that these devices have accelerated their refresh plans, according to IDC. AI PCs are rapidly becoming essential for driving workforce efficiency, improving security, and integrating AI-powered workflows.
However, the transition to Windows 11 adds an even greater sense of urgency, pushing organizations to modernize their device fleets now rather than later. This convergence of AI adoption and infrastructure upgrades presents a unique moment for businesses to align their technology strategies with the future of enterprise computing.
As we progress through the year, ITDMs cannot afford to stand idly by, waiting for a single breakthrough application to justify AI PC adoption. The shift to AI-powered business operations is already underway, and those who take proactive steps now will be best positioned to lead. By forging a path toward AI integration today, ITDMs can ensure their organizations remain agile, competitive, and ready for the inevitable AI-driven future.
About Rahul Tikoo
Rahul Tikoo serves as Senior Vice President and General Manager of the Client Business Unit at AMD, where he is responsible for driving the company’s strategy, product development, and business operations across desktop, notebook, and workstation solutions.
With a focus on delivering high-performance and energy-efficient computing experiences, Rahul plays a key role in AMD’s mission to push the boundaries of innovation for consumers and commercial users worldwide.
Rahul brings over two decades of leadership experience in the technology industry, having held senior roles spanning engineering, product management, and business leadership. Prior to joining AMD, he held leadership positions at Dell Technologies, where he oversaw product development and strategy for client solutions.