Is Wall Street’s AI boom spreading to main Street? By Investing.com

Yardeni Research said AI is increasingly acting as a growth tailwind, with U.S. job openings rising to 7.62 million in April, ISM manufacturing PMI climbing to 54.0, and April construction spending benefiting from data center buildout. Consumer demand also looked resilient, with Redbook same-store sales at their highest since late 2022, though inflation remains elevated with the ISM prices-paid index at 82.1. The firm stayed cautious on near-term volatility due to Middle East tensions, oil-price risk, potential Fed tightening, and upcoming IPOs.

Analysis

The market is starting to re-rate AI from a narrow capex story into a broad nominal-growth accelerator. That matters because the first-order beneficiaries are no longer just the obvious hyperscalers; the second-order winners are small-cap service firms, industrial suppliers, data-center adjacent construction, and labor-intensive businesses that are seeing demand before the macro data fully reflects it. If that diffusion persists, it reduces the odds of an “AI kills jobs” slowdown and instead supports a higher-for-longer earnings environment across cyclicals.

The inflation read-through is the key tension. AI-driven investment is clearly boosting activity, but it is also keeping input costs sticky through wages, construction, power, and equipment demand, which can make the Fed more cautious than growth bulls expect. The near-term risk is that markets celebrate the growth impulse while underpricing the policy response: stronger activity plus elevated prices is the mix that can pressure duration and narrow leadership, especially if oil or geopolitical shocks hit at the same time.

Contrarian angle: the consensus may be too focused on whether AI justifies mega-cap tech multiples, and not focused enough on the second-wave beneficiaries where valuation is still reasonable. Small businesses and industrials tied to compute buildout may have more operating leverage than the AI leaders themselves, while any disappointment in broad adoption would likely first show up as a capex air pocket in semis and power infrastructure. Over the next 1-3 months, the most important catalyst is whether this strength in labor, manufacturing, and construction keeps broadening instead of staying concentrated in data-center spending.

The setup argues for being long the “AI diffusion” trade, but with hedges against policy and geopolitical volatility. If the macro data keep improving, the market should favor beneficiaries with less multiple risk than top-tier AI names; if not, the correction will likely hit the most crowded AI expressions first. The asymmetry is better in the second-order winners than in chasing the already-expensive leaders after a large run.

Key Decisions for Investors

• Go long XLI vs short QQQ for the next 4-8 weeks: a broadening AI capex cycle should support industrial earnings more than already-stretched mega-cap tech multiples; stop if AI capex leadership re-accelerates and the pair breaks against you by ~3%.
• Initiate a basket long in small-cap industrial/service beneficiaries (e.g., IWM or selective names like FIX, ETN, URI) on pullbacks over the next 1-2 weeks: these names have the cleanest second-order leverage to data-center, manufacturing, and construction demand.
• Buy 1-2 month put spreads on TLT or IEF into any hot CPI/PPI print: sticky prices plus stronger growth raises the odds of a higher-for-longer Fed path, and duration is vulnerable if rates reprice higher.
• Own a cautious long in semis only via relative value, not outright beta: prefer pair longs in power/capex suppliers versus shortier high-multiple AI hardware names if the market starts rewarding earnings durability over narrative.
• Set a tactical hedge with XLE or oil calls into geopolitical escalation: stronger activity is bullish for demand, but higher energy prices would pressure margins and could abruptly flip the market from soft-landing to stagflation.