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After the introduction of Generative Adversarial Networks (GANs) in 2014, a whole new era for AI image synthesis began. The latest GAN architectures can generate high-resolution, realistic, and colorful images that are almost impossible to distinguish from real photographs. So, why spend time on exhausting and expensive photoshoots and video shoots, if you can use an image or video of an automatically generated AI model who is the perfect fit for your brand? That’s the solution that the most technologically advanced marketing teams are turning to nowadays.

However, AI capabilities are not limited to the generation of visual content. The advances in natural language processing (NLP) and natural language generation (NLG) of the last few years have made artificial intelligence a part of copywriter teams. The marketing messages generated with AI-driven solutions are not only plausible but also data-driven – the text can reflect the brand’s voice and be tailored to specific audiences.