To summarize, despite the leaps and bounds made in the past decade of research, GANs are still missing the fine-grained control, which is a big challenge. Every new technological advancement will come with its challenges, and the risks are well known to Ian Goodfellow, which his invention poses. He is working with a team of researchers whose task is to find ways in making the deep learning and machine learning more secure, ethical, and trusted by focussing on Security, Privacy, and other risks which weren’t given serious consideration early on. Therefore, comparing image generation in 2014 to today, there has been tremendous improvement in the quality. If the progress continues at the same pace, the GANs will become the critical research project. Let us wait to see how the AI GAN will be adapted by different industry verticals, especially in the Gaming Industry, which has a vast potential and opportunity.