Is Wall Street’s AI boom spreading to main Street?

Yardeni Research says AI adoption is increasingly supporting U.S. growth, with job openings rising to 7.62 million in April, ISM manufacturing PMI improving to 54.0 in May, and construction spending boosted by data center buildout. Inflation remains sticky, with the ISM prices-paid index at 82.1, while consumer demand is resilient as Redbook same-store sales hit their highest since late 2022. The firm still sees near-term volatility risk from Middle East tensions, higher oil prices, potential Fed tightening, and several large upcoming IPOs.

Analysis

The more important signal here is not simply “AI is good for growth,” but that the capex impulse is broadening from hyperscalers into a wider industrial and services ecosystem. That tends to extend the cycle because hiring, software integration, power buildout, and physical infrastructure spending cascade with a lag of multiple quarters, creating a second-round demand effect that is less visible in headline mega-cap earnings. The market is still pricing AI mostly as a margin story for software and semis; this setup argues it is increasingly a nominal GDP story, which is more supportive for cyclicals and capital-intensive beneficiaries than for the narrow leaders alone.

The hidden risk is that the same breadth that supports growth also keeps inflation sticky. If AI-driven investment is lifting labor demand in small firms while data-center and construction spending remain hot, the Fed gets a worse tradeoff: activity holds up even as prices-paid stay elevated, raising the odds of a longer period of restrictive policy rather than an immediate cut path. That is a problem for high-duration equities and for IPO windows, since a higher-for-longer backdrop tends to compress multiple expansion precisely when new issuance removes liquidity from secondary names.

The market technical backdrop likely makes the first move more violent than the fundamental move. After a strong multi-week run, any geopolitics- or oil-driven risk-off event can force de-grossing in crowded AI and growth baskets, even if the underlying economic thesis remains intact. In other words, the near-term trade is less about whether AI demand is real and more about whether investors are willing to own it through a volatility spike while rates and oil reprice simultaneously.

Consensus is probably underestimating the beneficiaries outside the obvious AI complex. Power, cooling, electrical equipment, industrial automation, and construction supply chains may have cleaner earnings leverage than the best-known software names, while ad-hoc small-business formation can quietly support domestic labor and services demand. The overdone part is the assumption that AI growth automatically implies disinflation; in the next 1-2 quarters, it may do the opposite by keeping nominal activity elevated and the Fed cautious.

Key Decisions for Investors

• Long EMR / ETN / CARR basket for 3-6 months: express the thesis that AI capex is migrating into power, controls, and cooling infrastructure. Risk/reward is attractive because these names have not fully re-rated with the AI narrative, while order books can compound over multiple quarters.
• Pair trade: long industrial electrification and data-center infrastructure winners vs short unprofitable IPO basket for the next 1-3 months. Use this as a volatility hedge against a weaker issuance window; higher rates plus larger deals should pressure new listings more than cash-generative beneficiaries.
• Buy 1-3 month put spreads on QQQ or a call spread on VIX into any further IPO tape-fueled risk-on extension. The setup favors a tactical pullback if oil/geopolitics lift inflation expectations and force factor rotation out of crowded growth.
• Overweight small-cap industrials and staffing-sensitive domestic cyclicals for 2-4 quarters, but only on pullbacks. The job openings breadth suggests underlying demand is stronger than the market assumes, yet the trade should be staged because the macro could still wobble if policy rhetoric turns more hawkish.
• Avoid chasing the most crowded AI semis at current levels; prefer a barbell of infrastructure beneficiaries plus quality cash-generative tech. The second-order risk is that AI capex enthusiasm stays intact but multiple compression offsets earnings growth if real yields back up.