I'd argue that AI does change things:

• on one hand it increases the percentage of invalid/unusable images. A mis-labeled image is still potentially useful, an image of a toucan in the Arctic isn't. This means that even large datasets become largely unusable because of the volume of fake images.
• on the other hand any AI picture that slips through, taints the dataset and results in expensive manual cleanup to ensure data is reliable.