AI Content Creation
AI Content Creation. AI Content Creation is revolutionizing the creative industry by producing high-quality visual and written content. Dall-E and Stable Diffusion can create images based on a natural language prompt, while GPT-3 generates copy in various formats. Although AI-generated content is not yet able to replace human artists and copywriters, it has come a long way and may prove to be more useful in the near future
This trend originates from the report:
Meltwater - 2023 Marketing Trends Guide
We’ve reached an inflection point where a combination of improved algorithms and raw computing horsepower has enabled “Generative AI” to create visual and written content at impressive levels of quality. Tools like Dall-E and Stable Diffusion are now capable of producing images of anything you want, in any style you want, from a natural language prompt. Similarly, platforms like GPT-3 can generate authentic-looking copy in a wide variety of formats.
Numerous products are now using AI to automate copywriting tasks ranging from optimizing email subject lines to mass-producing SEO blog copy; although it’s worth noting that Google considers AI-generated content to be against its guidelines for webmasters. Can these tools replace human artists and copywriters? That depends on your quality standards. Certainly, AI is capable of producing high-quality images, even close to photo-realistic, which may be good enough for some use cases as an alternative to stock images, but for situations where you have very specific requirements, a professional graphic artist is still essential.
For AI-generated copy, the answer is less clear. When you ask an AI to write a blog post about, for example, the benefits of owning an electric car, the AI does not research that topic and build a human-like understanding of the issue before putting its thoughts onto paper. Rather, GPT-3 has been trained on millions of existing diverse examples of human-generated text, and it uses that training to predict what text is most likely to provide a plausible response to the prompt you have given it.
So the copy it produces is not based on a deep understanding of the topic, but just a statistical model of what has already been written on that topic by humans. It’s a neat trick, but it doesn’t help marketers write engaging, original content that answers the needs of their audiences. But we’ve come a long way in a short time, so it’s likely that the technology can still improve significantly, and in a year or two, it may prove far more useful to marketers.