"I'm here to say we have to give these AI bubble predictions a rest," says Yahoo Finance executive editor Brian Sozzi.First of all, AI is a real technology being deployed in real ways inside of Corporate America. Second, this technology is requiring more physical assets in the ground — which are being built to support AI's real-world application. What Zach Dell (son of Michael Dell) is working on at startup Base Power (which just raised $1 billion) impressed me this week. It's addressing a key issue — power availability and costs in part because of rising stress on the grid due to AI development. Next, the spending on AI infrastructure doesn't strike me as reckless. I talk to CFOs and they walk me through their thinking, which seems logical. They aren't foaming at the mouth with wild-eyed predictions of grandeur similar to the late '90s. Plus, the tech giants making the biggest AI investments are fueling their ambitions by cash on hand — not loading up balance sheets with debt. The upstarts in AI are well funded, not being 100% stupid in their organizational build-outs. They're working on tangible technology that has actual orders behind it... Lastly here in my scolding of the AI worrywarts is that valuations don't support the warning calls. According to new research out of Goldman Sachs this week, the median forward P/E ratio across the Magnificent Seven is 27 times, or 26 times if excluding Tesla (TSLA), which has a much higher multiple than the other companies. This is roughly half the equivalent valuation of the biggest seven companies in the late 1990s, while the dominant companies in Japan (mostly banks) traded at higher valuations still. What's more, the current enterprise-to-sales ratios are also much lower than those of the dominant companies in the late 1990s. "So it is true that valuations are high but, in our view, generally not at levels that are as high as are typically seen at the height of a financial bubble," said Goldman Sachs strategist Peter Oppenheimer.Read more of this story at Slashdot.