Here's the paradox nobody wants to discuss: massive funding rounds look great on paper, but they're masking a brutal reality underneath. The computational firepower needed to train and run these models keeps climbing, and it's become the elephant in the room for profitability. Revenue growth? Sure, it's impressive. Yet it remains shackled to the same computing infrastructure costs that refuse to scale down proportionally. You raise billions, you hire the best talent, you hit ambitious targets—but your biggest expense doesn't budge. That's the tension nobody's really solving.