Same answers you'd use beyond "we don't want to pay an engineer". 100x shorter iteration speed, and the associated workflow (stream of microrevisions and spaghetti throwing), top quartile outputs in many langs/styles/contexts without having to source, hire, and maintain a fleet of separate specialists who can quit when they feel like it.

I'm torn on the scale thing. It definitely seems net negative. But I think we collectively underestimate just how deeply sick the existing thing already is. We're repulsed by image gen at scale because it breaks our expectation that images are at least somewhat based on reality, that they reflect the natural world or what we can really expect from a product, from a company, from the future. But that was already a bad expectation: when's the last time you saw a mcdonalds meal that looked like the advert? Or a sub-30$ amazon product that wasn't a complete piece of shit? Advertisements were already actively malicious fantasies to exploit the way our brains react to pictures. They're just fantasies that required whole teams of humans doing weird bullshit with lighting and photoshop, and I'm not sure that's much better. It was already slop. All the grieving we do about the loss of truth, or the extent to which corps will gleefully spray us with mind-breaking waterfalls of outright lies, I think those ships sailed a long time ago. The disgust, deceit, the rage we feel about genAI slop is the way we should have felt about all commercials since at least the 80s IMO.