Two companies, however, are building tangible value. Remitly Global (RELY) and Portillo’s (PTLO) are not chasing theoretical breakthroughs. They operate in the present, delivering measurable results. Their growth trajectories, though less flashy, are far more reliable than the vaporous promises of quantum technology.
But here’s the rub: Palantir’s valuation is so absurd, it’s like paying $623 for a loaf of bread when the price tag says $1. Its trailing P/E of 623 and forward P/E of 217 are not numbers-they’re riddles wrapped in a mystery, buried under a pile of existential dread. The P/S ratio of 137? A number so high, even a medieval knight would question his armor’s worth.
For it is not the giants of today, however mighty their strides may seem, that will carry the torch into the future. It is those companies-those underdogs-that dare to reach further than the known horizon, those that can offer the very essence of what is needed in an ever-growing digital world. Let us step forward into the future, where the seeds are already planted, and trace the path of two companies that might just eclipse the Magnificent Seven in the coming years.
Yet, as the P/E ratio soars to celestial heights, one must ask: Is this Æschylus of technology now Butus the Fool? For investing in unbridled euphoria often ends in Greek tragedy. Let us dissect the numbers with scalpel and wit, lest we be seen applauding a fundamentally flawed performance.
Under CEO Beth Wozniak-the kind of executive who probably ends meetings with “Let’s circle back in Q4 and *actually* close the loop”-nVent has pulled off one of the most low-key corporate transformations since Office Depot realized nobody needed three-ring binders anymore. In 2025, they sold off their thermal management division for $1.75 billion, because apparently keeping things cool wasn’t cool enough. Then came the strategic rollouts: swallowing Avail’s infrastructure solutions for $975 million (think enclosures, switchgear, and the electrical equivalent of HVAC for data centers), plus the 2024 $695 million Trachte acquisition, which gave them more protection enclosures than a paranoid sysadmin has firewalls.
I have always suspected IPOs to be the corporate invention that most cruelly mocks its own purpose: a ritual where founders offer their lifeblood to the altar of liquidity, only for wolves in suits to snort it like champagne before feasting on the bones. Nevertheless, I found myself compelled, like a moth to the flame of human folly, to add ServiceTitan (TTAN) and Klarna Group (KLAR) to my portfolio-a gesture as meaningful as planting seeds in a desert.
If I were to place my bet, it would be on Broadcom (AVGO), a name that has quietly crept into the AI conversation. The partnership with OpenAI is recent, though still shrouded in some ambiguity. What is clear, however, is that Broadcom is better poised for long-term success, a fact that could reveal itself as soon as 2026.
Anderson’s secret sauce? He’s the human version of a Google search bar: always ahead of the curve. Remember when he bet on Netflix when it was just a DVD-by-mail service and Tesla when it was a car that couldn’t even make a left turn? And look where we are now-stock prices soaring, and us, still trying to figure out how to charge our phones.
Leading the charge are the growth stocks, those sprightly figures that have found their moment under the heady lights of artificial intelligence. Investors, caught in the excitement of this new technological dawn, have embraced the promises of AI with enthusiasm that borders on fervor. The projections are grand, the AI market to reach trillions by the early years of the next decade. And yet, beneath the surface of these predictions, one wonders whether all the promises will manifest as neatly as anticipated, or whether we shall see another grand scheme falter beneath the weight of its own ambition.
As a market analyst, I’m seeing that finding promising new AI stocks is becoming more challenging given current high valuations. However, I still believe there are good opportunities. I’m focusing on solid, reliable AI companies – the ones that can weather market fluctuations – and also keeping an eye on companies that are underperforming now but have the potential to benefit significantly from AI advancements.