US economy gains from AI spending, Apollo says

The macro significance is straightforward. Capital spending on chips, servers, networking gear and data-center buildouts is feeding through to industrial production, imports and GDP at a time when consumer demand and corporate margins are under pressure from sticky financing costs. In other words, AI is no longer just a theme in equity markets; it is becoming a measurable source of demand in the real economy.

The scale of that contribution helps explain why policymakers and investors are paying closer attention. US GDP was reported at 32.49 trillion in April, with the economy forecast to reach 32.90 trillion by July, while industrial production and real sales have continued to edge higher. Those gains do not prove AI alone is driving growth, but they underscore how large the investment cycle has become. The pattern also echoes remarks from other economists and executives who have argued that AI infrastructure spending has supported household income, factory activity and broad business investment.

For companies, the boom is a double-edged sword. The same wave of spending that is supporting growth is also lifting costs. Apollo’s Slok pointed to higher import prices for AI hardware, and SEC filings from Microsoft, Alphabet and Nvidia show how central capital-intensive data-center and infrastructure investment has become to their strategies. That spending can widen moats and lock in future cloud and model demand, but it also raises the bar for returns. If revenue growth slows before capacity is monetized, margins could come under pressure.

The market implications are clearest in megacap technology. Nvidia, Microsoft and Alphabet remain the main equity beneficiaries of the buildout, and recent price action shows investors still rewarding firms tied to AI capex despite bouts of volatility. Nvidia’s shares have recovered to above their 200-day moving average after a sharp mid-year drawdown, while Microsoft and Alphabet have also held up better than the broader market. Still, the latest Adalytica S&P 500 trade signals show sentiment slipping into fear, suggesting investors are increasingly sensitive to the gap between AI enthusiasm and the rest of the market.

There is a broader macro tension building underneath the rally. AI spending is helping offset weakness elsewhere, but it is also coinciding with rising import costs and renewed commodity pressure. That combination matters for the Fed: if AI-related demand keeps the economy growing while cost pressures remain sticky, policy may stay tighter for longer. If the spending surge fades, the economy could lose one of its most important support beams just as higher rates continue to bite.

For investors, the key question is no longer whether AI matters, but how long the economy can rely on it. If the buildout remains strong, chipmakers, cloud providers and infrastructure suppliers stay in the driver’s seat. If it slows, the market will have to price a narrower earnings story and a softer growth backdrop at the same time.