July 2026 Market Recap: AI Is No Longer About Hype. It's About Returns.

If June reminded investors that good economic news can sometimes become bad market news, July highlighted a different reality: the market is no longer questioning whether artificial intelligence is transformative. It is beginning to ask who will ultimately profit from it.

After several years in which investors largely rewarded companies simply for increasing AI investment, July marked a turning point. Capital expenditures, cloud demand, infrastructure costs, and return on investment became the dominant themes of earnings season.

That shift occurred against a backdrop of renewed geopolitical tensions, moderating inflation, and a labor market that continued sending mixed signals about the health of the U.S. economy.

The result was another volatile month. The S&P 500 declined approximately -0.06% (per S&P Global), while Treasury yields moved higher as renewed conflict between the United States and Iran reignited inflation concerns and pressured fixed income markets.

The Economy Slowed, But Not Enough to Change the Bigger Picture

The month began with an unexpected surprise from the labor market. On July 2, June Nonfarm Payrolls increased by just 57,000 jobs (per U.S. Bureau of Labor Statistic), roughly half of economists' expectations (estimate of 115,000 jobs per Dow Jones).

Ordinarily, weaker employment data would increase fears of recession. Instead, markets reacted only modestly as investors increasingly viewed the report through a different lens. Rather than suggesting the economy was entering a recession, many viewed it as evidence that labor market conditions were gradually cooling without collapsing. More importantly, attention quickly shifted toward inflation, where investors hoped softer economic activity would begin translating into lower price pressures.

That optimism may have proved correct.

Inflation Finally Offered Some Relief

The market's next major test arrived on July 14 with the release of June Consumer Price Index ("CPI") data. Headline inflation increased 3.5% year-over-year (per U.S. Bureau of Labor Statistic), below expectations of 3.8% (per Dow Jones).

Producer Price Index data the following day also surprised to the downside (5.5% year-over-year growth per U.S. Bureau of Labor Statistics vs an expected 6.2% per Dow Jones). For the first time since the Iran conflict began in late February, investors received evidence that inflation may be moderating. Markets briefly embraced the possibility that the Federal Reserve would have less reason to tighten monetary policy further, and as such, markets began discounting the probability of a rate hike.

Unfortunately, that optimism would prove short-lived amid renewed tensions with the Iran conflict.

The Middle East Returned to Center Stage

Just weeks after the United States and Iran signed a Memorandum of Understanding intended to pause hostilities, the conflict reignited. Following attacks on commercial vessels transiting the Strait of Hormuz, the United States responded with military strikes against Iranian targets and revoked Iran's oil export license. Oil prices immediately surged and treasury yields followed.

The market quickly returned to worrying that higher energy prices could reverse the progress recently made on inflation. While both countries ultimately agreed to pause military operations later in the month, the episode served as another reminder that geopolitical events continue to influence inflation expectations and, by extension, interest-rate policy. It’s also become increasingly clear that the situation remains very much fluid, which may continue to add to market volatility.

The AI Conversation Changed

However, macro economic data and conflicts in the Middle East were not the only things in focus during July. There were major corporate earnings releases during the month of July, which included Alphabet, Microsoft, Amazon, Meta, Intel, Tesla and Apple.

Collectively, they offered an indication to one of the market's biggest questions. AI demand is not slowing, but rather, seemingly accelerating.

Alphabet reported earnings after market close on July 22 and delivered another strong cloud quarter while raising expected capital expenditures by approximately $15 billion. This was the first of the several dominos to fall, and it did not disappoint.

The following day, Intel reported earnings after the close. They produced its strongest earnings report in more than a decade and likewise increased investment in AI infrastructure.

Next, Microsoft reported its earnings after market close on July 29. The highlight was that Azure growth exceeded expectations while continuing to demonstrate meaningful commercial adoption of Microsoft Copilot.

Just the next day, Amazon reported earnings after the bell and similarly reported accelerating AWS growth while increasing capital expenditure guidance once again.

The theme from just these four companies was seemingly clear: Demand for AI computing capacity continues to exceed available supply, and these companies do not plan slowing investment any time soon.

However, there will be distinct winners and losers from AI investment. Investors will continue focusing on who will ultimately earn attractive returns on the hundreds of billions of dollars currently being invested. Additionally, investors will continue to focus on where the bottlenecks in the AI supply chain exist. As it currently stands, bottlenecks continue to exist with memory chips and compute. With massive AI spend not going anywhere, the focus will continue to be on companies operating on that side of the supply chain.

AI Spending Is Becoming More Selective

This shift was particularly evident among the “hyperscalers”, which is term coined by Wall Street to describe the big corporate spenders of AI infrastructure. According to their respective guidance from their recent earnings reports, Alphabet, Meta, Amazon and Microsoft are collectively expected to invest hundreds of billions of dollars this year building data centers, purchasing GPUs and memory chips, expanding networking capacity and supporting rapidly growing AI workloads.

Alphabet, Microsoft, and Alphabet largely convinced investors that those investments are already generating meaningful revenue with their latest earnings report.

Meta and Tesla continue to invest aggressively while investors questioned how quickly those investments can or will be monetized.

Ultimately, markets are no longer rewarding AI investment simply because it exists. They increasingly want evidence that those investments can generate real return.

Memory May Be One of the Biggest Beneficiaries

One interesting takeaway from earnings was that even Apple acknowledged ongoing shortages of advanced chips and memory. Meta Platforms also cited during its earnings call how they actually underestimated their compute needs, despite their continued high capex spend.

Unlike some software companies that are investing in AI infrastructure, suppliers throughout the semiconductor ecosystem continue benefiting from constrained supply and exceptionally strong demand. That distinction may become increasingly important over the coming years. The companies buying AI infrastructure may experience near-term pressure on margins, while the companies supplying that infrastructure may continue benefiting from favorable pricing and demand dynamics. Right now, investors are seemingly trying to discern whether semiconductors can maintain those margins beyond the current supply shortage and whether the hyperscalers can scale their infrastructure spend. In our view, there will be winners and losers on both sides. Understanding which side of that equation a company falls on may become one of the defining investment themes of the next phase of the AI cycle.

Looking Ahead

July did not provide evidence that AI investment is slowing. It demonstrated that demand remains exceptionally strong; however, the debate has simply become more sophisticated. The market is no longer asking whether and how much companies should invest in AI, but rather, which companies can transform unprecedented investment into sustainable profitability over the next 5 years. That is likely to remain one of the defining questions for markets during the second half of 2026 and into 2027.

Disclosure

The S&P 500 (Standard & Poor's 500) is a stock market index tracking the performance of roughly 500 leading U.S. publicly traded companies, representing about 80% of the total U.S. market capitalization.

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