Experts Raised Concerns Over U.S. Physical AI Lag

Industry leaders met in Washington, D.C. to address the disparity in industrial robot adoption between the U.S. and China.

Updated on Sept. 29, 2026 in Robotics

Isometric editorial illustration of a modular industrial robot arm in a neutral factory setting, representing automation and hardware manufacturing challenges. — Industry leaders met in Washington, D.C. to address concerns over the widening gap in physical AI and industrial robotics adoption. AI Illustration. Upload story photo >

Live Poll

Should the U.S. prioritize domestic manufacturing of robotics and AI components over global supply chain reliance?

Experts convened in Washington, D.C. on September 29, 2026, to discuss the nation's lagging competitiveness in physical AI. The forum highlighted a significant manufacturing gap and a reliance on overseas hardware as key vulnerabilities for the industry.

Why it matters

The U.S. robotics sector faces challenges from a weak domestic manufacturing base, labor shortages, and inconsistent state government approval processes. These factors collectively increase investment costs and hinder the rapid deployment of advanced automation.

LG is utilizing NVIDIA technology to train the CLOiD robot within a virtual replica of its Tennessee washing machine factory. The system learns complex tasks including part movement, loading, and assembly to streamline manufacturing processes.

The players

LG Electronics

This South Korean multinational conglomerate is a major investor in U.S. battery and mobility manufacturing.

NVIDIA

This American technology company is collaborating with manufacturers to develop AI and data-driven automation solutions.

The details

Industry leaders identified a critical need to bolster domestic hardware production to reduce reliance on foreign supply chains. Meanwhile, firms like LG are attempting to bridge the automation gap by converting years of manufacturing experience into actionable training data.

The forum occurred in Washington, D.C. on September 29, 2026.
China and the U.S. reported their respective robot installation totals for last year.
Over the past decade, LG invested more than $20 billion in U.S. manufacturing projects.

The Tech Race

The push for physical AI marks a shift from traditional manual assembly toward software-defined robotics that learn through digital twins. This development positions firms to replace legacy labor models with adaptive systems that can operate with higher precision and lower overhead.

The expansion of domestic robotics could lead to increased production of consumer goods and lower operational costs for local manufacturers. Ultimately, this may result in more stable product pricing and higher domestic job growth as specialized roles are created to manage these AI systems.

The takeaway

The gap in robot installation highlights the urgent need for the U.S. to harmonize manufacturing regulations to attract more capital investment. Addressing these systemic bottlenecks is essential for companies aiming to compete in the next generation of automated production.