Las vegas once again served as the epicenter of consumer technology this week, as the annual CES trade show unveiled trends poised to reshape the personal computing landscape. The event signaled a definitive shift,with artificial intelligence moving beyond cloud-based services and becoming deeply integrated into a wide range of devices-from PCs and smartphones to automobiles. Beyond the innovations on display, CES 2026 underscored a dual focus on on-device AI processing and improved energy efficiency, hinting at a more practical and enduring future for technology.
LAS VEGAS – The Consumer Electronics Show (CES) has long been a bellwether for the tech industry, showcasing not just the next must-have gadget, but also the direction of consumer technology for years to come. This year’s event made a clear statement: artificial intelligence is no longer a distant cloud service, but a fundamental component of devices ranging from PCs and smartphones to smart homes, automobiles, and wearables. This shift represents a significant evolution in how technology is designed and experienced.
A key theme emerging from CES 2026 was a fundamental shift in how the industry approaches personal computing. The show underscored two major trends across product categories: the consolidation of on-device AI processing and a drive for greater energy efficiency. PCs, wearables, robots, and everyday solutions unveiled at the event are increasingly incorporating embedded intelligence as a core experience, reducing reliance on the cloud and expanding potential use cases.
This movement signals a structural change in the PC market. Beyond incremental performance improvements, a new generation of computers designed from the ground up to handle AI workloads is gaining traction, balancing performance, battery life, and personalized experiences. This isn’t an isolated phenomenon, but a transformation impacting the entire technology industry.
AI Processing on the Device
Where “using AI” once meant sending data to a remote server, CES 2026 demonstrated a clear shift towards processing intelligence closer to the user, directly on the device. This approach offers benefits in performance and latency, reduces dependence on a stable internet connection, and strengthens data security and user control – increasingly central aspects of the user experience. The move to on-device AI is particularly relevant as data privacy concerns grow.
In the PC space, this trend is reflected in the rise of so-called AI PCs. Devices showcased at CES already demonstrate capabilities such as transcribing and summarizing meetings, translating conversations in real time, automatically enhancing audio and video, and operating context-aware assistants – all locally. Enabling this leap requires hardware evolution, with architectures integrating CPUs, GPUs, and AI accelerators in a more cohesive manner, optimized for on-device inference and energy efficiency, rather than solely peak performance.
Intel’s Core Ultra Series 3 (Panther Lake) processors, manufactured using the 18A process, are helping to make this transition a reality. Beyond the specifications, this architecture represents a change in focus: AI is moving from being an add-on feature to a foundational element of the PC, enabling more consistent, efficient, and practical experiences.
This migration of AI processing to the device is particularly relevant for Latin America. In markets where connectivity is often unreliable and expensive, running more AI locally means less frustration with services that only function with a perfect network connection, and greater control over privacy, as not all data needs to be constantly sent off-device. A GSMA Intelligence report (2024) notes that approximately 28% of the region’s population lives in areas with mobile internet coverage, but still lacks access due to cost, lack of devices, or digital skills – representing roughly 174 million people.
Energy Efficiency
As AI transitions from a sporadic resource to a continuously operating function on devices, energy efficiency becomes paramount. CES 2026 made it clear that simply making systems more intelligent isn’t enough; it’s crucial to achieve this without compromising battery life, thermal comfort, and the overall user experience. The demand for longer-lasting devices is driving innovation in power management.
At the chip level, the 18A process is one path to improving performance per watt: more transistors, less waste, and more work done with the same power consumption. Device manufacturers presented laptops, smartphones, and networking equipment promising longer battery life, reduced heat, and intelligent operating modes, where the system itself decides when to use local AI, when to leverage the cloud, and when to shut down unused functions.
This is where AI-powered PCs begin to differentiate themselves more concretely. By integrating CPUs, GPUs, and AI accelerators into an architecture designed for efficiency from the outset, these processors demonstrate how performance and power consumption are no longer opposing forces. The result translates into tangible benefits, such as increased battery life – with some models claiming up to 27 hours of use – and reduced reliance on power outlets, even during intensive local AI tasks.
This equation is particularly relevant for Latin America. In countries like Brazil, Colombia, Argentina, and Chile, where energy costs impact budgets and infrastructure doesn’t always keep pace with the adoption of new technologies, efficiency isn’t just a desirable feature, but a factor of viability. PCs offering greater performance with balanced power consumption are more suitable for businesses and professionals needing mobility, predictability, and greater data control.
The landscape presented at CES 2026 extends beyond isolated announcements or performance jumps. Local AI and energy efficiency appear as two sides of the same coin: bringing computing closer to people’s realities, making it work better in the conditions in which it’s actually used. The next step in personal computing won’t be defined solely by how advanced the technology is, but by how well it integrates into daily life – intelligently, efficiently, and sustainably.
