To write good material, you have to read good material before you write it. I usually like to go through various articles with different opinions before going into a word processor. The problem is that there is so much material and so little time to read it. Things get so tedious when trying to find key points and differences between articles on the same topic.

Now AI is developing the production of clever article theses. An AI algorithm created by Salesforce researchers generates snippets with the main points of a long text. Although thesis tools have been around for a long time, Salesforce's algorithm outperforms the competition just by machine learning. The system is first trained by a human trainer, and then it already starts thesing itself.

Such tools will help the author quickly run through many articles and find the topics they need. They will make it easier for editors to sort through tons of daily emails and press releases because they will decide which emails are worthy of attention. I have hundreds of unread emails in my inbox, so I really appreciate the functionality of such helpers.

All of this is made possible, in part, by advances in natural language processing (NLP). NLP helps machines understand the overall meaning of text and the relationships between its different elements.

Nevertheless, today perfect text summarization is still impossible without human intervention. Technology is still full of missteps that need to be corrected, but we can already imagine what reading will look like in the future.

Search engines and content production robots have gotten smarter

No matter how high-quality and relevant your content is, it will be useless if it's not delivered to the right audience. Unfortunately, the old keyword-based search algorithms pushed online writers to include them to the max specifically for searchers.

"With PageRank, Google did a great job of organizing the Web, but it also created a network where keywords subjugate content," says Gennaro Cuofano, who is responsible for demand growth at WordLift, a semantic network tools company, "at the end of the day, web writers now spend a lot of time trying to improve 'findability.'"

The trend has ended with poorly written content starting to get higher search engine rankings.

Thanks to AI, search engines are able to analyze and understand information, and the rules for search engine optimization have changed dramatically in recent years.

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"Because the new semantic technologies are now savvy enough to read human language, journalists and professional writers can finally get back to creating text for humans," - Cuofano says. That means we can expect to see better content on custom writing websites and in search engine rankings.