History of AI writing: how did this technology start?

History of AI writing: how did this technology start?

Today, we cannot imagine our life without modern technologies. They seem to be everywhere – from smartphones and smart TVs to the most elaborated ones, for example, artificial intelligence. The latter has evolved remarkably and even changed the way we can do some things. One example is AI writing technology that can generate content and improve your copies.

But how did it start? The origins of AI writing can be detected in the early 1980s when spell checkers in computers emerged. Soon, they became an integral part of a variety of platforms. Around that time, artificial intelligence entered the market, but only in 2007, it was used in writing for the first time (it was related to sports statistics). And then in 2009, Grammarly was introduced.

It is clear that from these times AI writing has developed. Since then, people are working on AI's ability to imitate human writing. And it was a success – now AI writing tools can write you copy for business, marketing, sales, and other spheres just in a few minutes. This includes blog posts, marketing copies, social media posts, web landing pages, emails, product descriptions, and more.

The process relies on scanning available information on the web and combining it into one piece. Simply put, this technology needs human input (keywords, questions) to generate a meaningful copy. Although it is not perfect, AI writing can offer copies written in different styles and tones, according to certain limits. What is more, it creates content according to SEO standards, so it can improve the web’s position in Google search results. AI writing can quickly generate multiple copies with the link to the desired page, and this is very important if you want to be ranked at the top of Google search.

Future perspectives on AI writing

For now, AI writing, despite being remarkable technology, is not perfect. Due to a lack of emotions and creativity, humans have to supervise AI-generated content. But it is said that in the future AI writing tools will use more data to create. This will let to understand emotions that could make content more engaging for humans. Also, the understanding of nuances in texts should improve, and this would let to target different audiences.

What is more, AI writing can work anytime, so, if the quality of AI-generated content improves, it will bring challenges to the writing staff. It is predicted that AI will be able to adapt to any changes more quickly. Will these prognoses become a reality? We will see in the future.