Industrials Are Now Pricier Than Tech. The AI Buildout Explains Why
The grease-and-gears crowd has elbowed tech out of the valuation penthouse. Industrials now carry the highest valuation in the S&P 500, led by companies making machinery, power equipment, and aerospace hardware. AI spending has helped drive the rerating, and investors are betting it has further to run.
Valuations move upmarket: Industrials now trade at roughly 25 times forward earnings, above the roughly 23 times commanded by large tech companies and well above their historical average of around 20 times. The shift has caught even market watchers by surprise. As DataTrek Research co-founder Nicholas Colas put it, “We’re pretty sure no one had ‘Industrials’ on their 2026 bingo card for best S&P valuation, but here we are nonetheless.”
- Nordson beat Q3 estimates as AI-linked semiconductor demand helped lift sales 10% and backlog 35%, with shares up 45% over the past year.
- Vertiv and Comfort Systems are riding AI infrastructure demand, with projected two-year sales CAGR of 25.7% and 19.6%, respectively.
AI Infrastructure Powers Industrial Growth
Two long-term tailwinds are driving the sector’s re-rating. The AI data center buildout is creating heavy demand for electrical equipment, power generators, turbines, and construction machinery, benefiting industrial names like Caterpillar, Eaton, and Deere. At the same time, RTX, GE Aerospace, and Boeing are benefiting from rising defense budgets and strong demand for commercial aircraft.
- GE Vernova trades at 37.1x forward earnings, down from 50.8x at the end of 2025, while projecting a 14.9% two-year sales CAGR.
- Industrial ETFs are showing signs of cooling demand, with State Street seeing weaker inflows and Vanguard heading for its biggest monthly outflow since April 2025.
The durability question: Analysts at Bloomberg Intelligence warn that expectations for a cyclical recovery in 2027–28, combined with the AI boom, could leave industrial stocks vulnerable if growth falls short. One risk is that companies are simply pulling demand forward, concentrating years of AI infrastructure spending into 2026 and 2027. For now, investors are betting the buildout has further to run, with earnings growth supporting that view.