Earnings season just handed investors a gift. While most of the market's been chasing shiny things, two names have quietly crushed expectations so hard that ChatGPT flagged them as essential plays for the rest of the year. One's a data analytics powerhouse that barely existed in the mainstream five years ago. The other is basically printing money from cloud infrastructure. Both are riding the exact same wave: companies and governments finally opening their wallets for AI.
Palantir's 93% Revenue Surge Signals Real Demand
Palantir Technologies reported Q2 revenue of $1.94 billion, up 93% year over year, with adjusted earnings per share hitting $0.41 against Wall Street's $0.34 estimate. But here's the kicker, the company's U.S. commercial revenue jumped 149% while government revenue climbed 90%. Those aren't typos. The firm then raised full-year guidance to $8.15 billion, essentially telling investors that the AI appetite shows no signs of slowing.
What makes this remarkable is the breadth of the growth. Organizations are moving past experimental AI pilots and into actual deployment. Palantir's numbers suggest that transition is accelerating across both private enterprises and federal agencies. Even with valuations stretched after the stock's run, the company offers one of the clearest windows into how the software side of the AI infrastructure play is unfolding.
Amazon's AWS Backlog Tells the Real Story
Amazon's earnings looked almost boring by comparison until you dig into the cloud division. Q2 revenue hit $200.6 billion, up 20% year over year. AWS revenue jumped 37% to $42.2 billion, the fastest pace in over four years. But the real headline buried deeper: AWS ended the quarter with a $496 billion backlog.
That backlog number matters more than any single quarter's results. It means enterprises have already committed to spending hundreds of billions on AI infrastructure, and AWS is getting a massive cut. Advertising revenue climbed 26% to $19.8 billion, a reminder that Amazon's tentacles reach everywhere. The company upped its 2026 capital expenditure forecast to $220 billion from $200 billion, signaling confidence that demand will keep climbing.
Both picks reflect the same underlying reality: companies have stopped treating AI as a nice-to-have and started treating it as essential infrastructure. The spending is real, the backlogs are real, and the earnings growth backs it all up.
This material is informational only and should not be considered financial advice. Always conduct your own research and consult with a financial advisor before making investment decisions.
