NXP CEO to Define 'Physical AI' Frontier at COMPUTEX 2026

TAIPEI, Taiwan – March 31, 2026 – As the global technology industry gears up for COMPUTEX 2026, a major keynote announcement has sharpened the event's focus on the next evolution of artificial intelligence. Rafael Sotomayor, President and CEO of semiconductor giant NXP, will take the stage on June 2nd to deliver a highly anticipated address on "Physical AI," signaling a strategic push to move AI from the digital realm into direct, real-time interaction with the physical world.

The announcement, made by the Taiwan External Trade Development Council (TAITRA), positions Sotomayor's keynote as a cornerstone of the conference's "AI Together" theme. The session will explore how NXP is pioneering intelligence at the edge—where data is generated and immediate decisions are critical—to build a future of smarter, safer, and more autonomous systems.

From the Cloud to the Concrete: Defining Physical AI

For years, the conversation around AI has been dominated by cloud-based models and large language models operating in digital environments. However, Sotomayor’s focus on Physical AI represents a critical shift in priority. This emerging paradigm refers to AI systems that perceive, reason, and act directly within the physical world, controlling everything from robotic arms to vehicle steering systems. Unlike cloud AI, where latency can be tolerated, Physical AI demands deterministic, real-time performance where safety and security are not just features, but immutable requirements.

Physical AI functions in a continuous loop of sensing, deciding, and acting. It relies on a fusion of sensors like cameras, lidar, and radar to perceive its surroundings, then uses on-device processors to make instantaneous decisions that translate into physical actions. This is the domain of the "intelligent edge," and it fundamentally differs from traditional AI that operates within the predictable confines of a virtual space. Physical AI must contend with real-world physics—gravity, friction, and unpredictable events—making reliability paramount.

Sotomayor's keynote is expected to delve into these core challenges, highlighting the architectural advancements needed to bring robust AI to the edge. The focus will be on how to achieve near-perfect execution where a mistake is not just a software bug, but a potential real-world safety incident. This vision casts NXP not just as a chip supplier, but as an enabler of the foundational trust required for widespread adoption of autonomous technology.

NXP's Arsenal for the Intelligent Edge

NXP has been methodically building a comprehensive portfolio to back its Physical AI ambitions. The company is leveraging its decades of experience in the demanding automotive and industrial sectors, where functional safety and security are non-negotiable. This deep expertise forms the bedrock of its strategy, differentiating it from competitors focused primarily on raw processing power.

At the heart of its hardware offerings are advanced processors like the i.MX 95 applications processor, designed for high-bandwidth machine vision, and the i.MX RT1180 crossover MCUs, which enable deterministic motor control essential for synchronized robotics. These processors integrate specialized Neural Processing Units (NPUs) to handle machine learning tasks efficiently on the device, reducing reliance on the cloud.

Complementing the hardware is NXP's eIQ AI software development environment. This unified stack allows developers to import models from popular frameworks like TensorFlow and PyTorch and optimize them for NXP's hardware. With tools like the cloud-hosted eIQ AI Hub for benchmarking and the eIQ GenAI Flow for running domain-specific generative AI on the edge, the company is aiming to simplify the complex process of deploying AI in power- and memory-constrained environments. This holistic approach is designed to accelerate the journey for customers from a promising AI model to a reliable, production-ready physical system.

A Crowded Field and Strategic Alliances

NXP is not alone in the race to dominate the intelligent edge. The field is crowded with formidable competitors, including NVIDIA, whose high-performance GPUs power much of the AI training and high-end robotics world; Intel, with its vast portfolio of processors and OpenVINO software stack; and Qualcomm, a leader in power-efficient AI for mobile and IoT devices.

However, NXP is carving out a distinct position. Rather than engaging in a head-to-head battle on pure computational performance, its strategy hinges on providing complete, secure, and functionally safe systems. This is particularly resonant in markets like automotive and industrial automation, where a processor's ability to operate reliably in real-time under strict safety protocols is more critical than its ability to run the largest AI models.

A prime example of its strategy is its recent collaboration with NVIDIA to develop integrated solutions for humanoid robots. This partnership combines NXP's expertise in real-time control, functional safety, and secure networking with NVIDIA's advanced AI compute platforms. By working together, the companies aim to simplify the complex system design required for sophisticated robotics, demonstrating that the future of Physical AI will be built on both competition and collaboration.

'AI Together': COMPUTEX Sets the Stage

The theme of COMPUTEX 2026, "AI Together," perfectly encapsulates the industry's current trajectory. With 1,500 exhibitors expected across themes of AI & Computing, Robotics & Mobility, and Next-Gen Tech, the event is poised to be a global showcase for how AI is being integrated into every facet of technology. Sotomayor's keynote on Physical AI will be a central pillar of this narrative, bridging the gap between abstract AI concepts and tangible, real-world applications.

The focus on Robotics & Mobility, in particular, aligns directly with NXP's strategic direction. The exhibition floor will likely be filled with autonomous vehicles, industrial cobots, and logistics drones—all prime examples of Physical AI in action. NXP's presentation will provide crucial context for these innovations, explaining the underlying technology that makes them possible and outlining the path to their safe and widespread deployment.

As the industry converges on Taipei, Sotomayor's address is set to be a defining moment, articulating a vision for an AI-powered future that is not just intelligent, but also physically present, responsive, and trustworthy in our daily lives.