It's an interesting rat race to see; you could make a fake image using AI, then a fake image detector software, then connect the two until the AI generates images no longer recognizable as fake.
This is how a GAN works. There is a generator and a discriminator. The generator tries to fool the discriminator, and the discriminator tries to detect images generated by the generator. As one gets better, so does the other, until progress converges.
Just a comment: This usually isn't how GAN progress is made. I haven't really seen any GAN that incorporates advances in 'fake detection' directly into its discriminator. Usually it's just GANs getting more data and using smarter math and 'fake predictors' following the development by some 6-12 months.
Since so many people don't care about the truth, and LARP that they believe fake news and fake images just own the libs, maybe there's some money to be made by selling them fake fake-image-detector software like Hotdog Or Not: one app that always claims a photo is real, and another app that always claims a photo is fake. Or a single app with in-app-purchases that lets them pay to choose whatever they want to believe!