AI chips at teen P/Es vs. Wingstop at 100-plus: which is the bubble?

A post by TargetBan in r/stocks drew 166 comments by arguing that the valuation gap between AI infrastructure stocks and consumer names has reached an irrational extreme, with Nvidia and Broadcom at single-digit to low-teens forward P/Es while Wingstop, Cava, and Starbucks sit from 34 to over 100 times earnings.

The top comment, from Jebusfreek666, was a single dry line aimed at anyone calling the market irrational for the first time, and it became the most upvoted response in the thread. Much of the thread pushed back on the post's framing rather than its numbers.

Critics in the thread argued that a high P/E on a slow-growth business like Walmart, which one commenter cited at a 46 P/E on roughly 5 percent growth, prices predictability and safety demand. Comparing raw P/E ratios across businesses with different growth profiles and risk characteristics is, in their view, the wrong frame.

The original post also touched on Anthropic, arguing that a widely cited loss figure was largely attributable to equity appreciation rather than cash burn, and that inference margins of around 80 percent will eventually make AI far more profitable than the training-cost period suggests. Skeptics questioned whether the AI monetization story is as clean as the bull case implies.

Walmart appears in the card tickers despite not being named in the post itself, reflecting its role in the comment thread as a case study in defensive-stock overvaluation. Whether AI infrastructure multiples are genuinely compressed or whether the comparison flatters them by ignoring capital intensity and execution risk is the argument this thread could not resolve, and it matters most for anyone positioned on either side.