Mizuho names 7 industrial stocks to play the physical AI boom

Mizuho analyst Brett Linzey recommended seven industrial stocks to capture the "Physical AI" buildout, as production-scale pilots begin running in Western factories and robotic manufacturing lines ramp up.

"The first stage of Physical AI is taking place in structured industrial environments, such as manufacturing, logistics, and warehousing," Linzey wrote in a research report Tuesday. Settings like these are a natural starting point because they involve controlled, repetitive operations rather than unpredictable elements, he said.

Linzey identified two layers for investors to target. The automation layer includes companies that build and integrate the control systems, software, and equipment that Physical AI runs on. The component layer covers the motors, reducers, bearings, sensors, and power content inside the machines themselves.

His picks span both layers: Emerson Electric (EMR), Ametek (AME), Honeywell International (HON), Applied Industrial Technologies (AIT), Eaton Corporation (ETN), Vertiv Holdings (VRT), and Parker Hannifin (PH). Vertiv rose 9.1% Tuesday, while Eaton gained 4.4% and Ametek added 1.8%. Honeywell fell 1.7%.

The recommendations come as hyperscalers show no signs of slowing their AI spending plans, according to 22V Research's Dauvin Peterson. "There is a continuing shortage of compute capacity, which in turn is holding back the next wave of more powerful models," Peterson said. The buildout is constrained by simple factors including a lack of qualified electricians and supply chain bottlenecks, he noted.

Linzey acknowledged that humanoid robots inside factories remain several years away and that automation adoption will take time to meaningfully affect earnings. "What has changed is the direction of travel and engagement in the technology," he wrote. "Production-scale pilots are now running in Western factories, robotic manufacturing lines are ramping, and the structural drivers behind the theme are durable."

Apollo Global Management Chief Economist Torsten Sløk offered a counterpoint, warning that companies may slow AI spending if they do not see a quick return on investment. Implementing AI in sectors like healthcare, energy, transportation, and law involves "deep process re-engineering and data governance requirements" that could delay productivity gains well beyond what the market projects, he said.

The divergence between near-term enthusiasm and longer-term execution risk will be tested as companies move beyond controlled industrial environments into the unstructured, open world. Investors will watch upcoming quarterly reports from these seven names for evidence that Physical AI investments are translating into revenue growth and margin expansion.

This article is for informational purposes only and does not constitute investment advice.