CES 2026: LEGO’s Smart Brick, LG’s Home Robot & NVIDIA’s Alpamayo | Under 14 Minutes

2026-01-06 · Source: AIM Network · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Emerging Technologies & Innovation · Depth: Fundamental Awareness, long

Summary

CES 2026 in Las Vegas showcased significant advancements, particularly from NVIDIA, which unveiled its Reubin platform, the successor to Blackwell chips, promising five times the AI inference speed. NVIDIA also emphasized the shift towards agentic AI, moving beyond chatbots to intelligent agents, and introduced Project Alpamo Mayo for autonomous vehicles to navigate unpredictable scenarios. Beyond NVIDIA, robotics saw major innovations, including LG's Cloi robot for household tasks and updates to Hyundai/Boston Dynamics' Atlas robot, alongside a partnership with Google DeepMind. Consumer AI expanded with Amazon's web-based Alexa Plus and Google's Gemini for Google TV. Hardware competitors like AMD, Intel, and Qualcomm also launched new AI accelerators and processors. Samsung introduced its Bespoke AI smart home appliances, including an AI fridge powered by Google Gemini, while Dell redesigned its affordable XPS 13 laptop.

Key takeaway

For CTOs and VPs of Engineering evaluating future AI investments, recognize that the "ChatGPT moment" for physical AI will be a complex, multi-layered relay rather than a single breakthrough. Prioritize strategic partnerships across hardware, software, and robotics to build comprehensive physical AI solutions, as no single company will dominate this ecosystem. Your teams should focus on integrating AI into tangible products and real-world applications, anticipating a gradual but profound shift in how AI impacts daily life by the end of 2026.

Key insights

The tech industry is undergoing a fundamental shift towards physical AI, integrating AI into tangible devices and real-world applications.

Principles

• Physical AI development is a complex, multi-layered relay, not a single dash.
• AI integration spans from chips to full robotic bodies.

In practice

• Explore agentic AI for task automation beyond chatbots.
• Consider physical AI for industrial and consumer robotics.
• Evaluate new AI accelerators for enhanced inference speeds.

Topics

• Physical AI
• AI Accelerators
• Agentic AI
• Robotics
• Autonomous Vehicles

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Tech Journalist, General Interest, AI Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by AIM Network.