When AI image generation gets almost free, what gets harder?

Judy Fan's research landed on a finding worth sitting with: the cheaper AI-generated images get, the more valuable it becomes to know which one is right. Fan is a cognitive scientist at Stanford who recently presented at MIT. She ran an experiment comparing human-drawn sketches to AI-generated images, with one variable: how many strokes either side was allowed. With plenty to work with, both groups performed similarly; viewers could recognize the subject. But as the budget shrank, human sketches stayed readable while AI-generated ones started to drift. Why? When people draw something, they're not copying what they see. They're making trade-offs: which detail helps the viewer understand, and which one can go. That skill is tied to tens of thousands of years of humans communicating meaning through visual marks. AI learns pixels and patterns. It knows what an image usually looks like, but not which line in this particular image exists to help you understand how something works, versus which exists to help you recognize what it is. With enough budget, it handles both. When resources get tight, it gets it wrong. At the end of June, Google DeepMind launched a new image generation model. Cost: $0.00003 per image. Speed: four seconds. They called it built for volume and velocity. Running a thousand ad variations in a month would cost about the price of a coffee. Before this, image generation was expensive enough that you'd make one or two and work with what you had. Now, you press a button and get thirty. But generating was never the hard part. Fan's research shows that even when AI matches human accuracy in recognition, it makes trade-offs differently. Sitting in front of those thirty images and deciding which one actually says what you mean, that draws on decades of things you've seen, felt, and made. That's not what's been automated. AI image generation is almost free. For anything that needs a visual, you'll have more options to try. The bottleneck moved from being able to make it, to knowing which one is right. Google calls this model built for volume and velocity. Four seconds, almost free. Thirty images, and you're the one choosing.