The market for AI-based writing assistants in Global

Artificial intelligence (AI)-based writing assistants are software programs with human-like writing capabilities, enabling individuals to create, correct and edit documents while increasing productivity, creativity and quality. More specifically, an AI-based writing assistant offers the following functionality(ies):

Automatic generation of content: such as articles, reports, summaries and descriptions. This enables texts to be produced faster and more efficiently.

Grammatical and orthographic correction: detection and correction of grammatical and orthographic errors in texts. This produces more accurate, higher quality texts.

Semantic analysis: analyzes the meaning of sentences and paragraphs to determine the key concepts, relationships and sentiments expressed in the text.

Content performance analysis: assessing the quality and relevance of content in relation to the user's objectives. This enables content to be optimized to meet user expectations.

Content personalization : using user data to create personalized content. This helps to produce content that is more relevant to users and increases their engagement.

Artificial intelligence (AI)-based editorial assistants meet many of society's expectations: time-saving, user engagement, application of AI to different sectors... Nevertheless, despite being part of the zeitgeist, these programs are a source of concern. For many, they still represent a threat to the future of work, education and the veracity of information.

Companies in the sector, on the other hand, see it above all as an opportunity for innovation. As a result, more and more companies are offering content writing services. By 2022, the global market for assistants was growing by over 26%. In November 2022, the booming market experienced a real upheaval, with the arrival on the market of GPT chat, a technology developed by OpenAI, which has already broken world records in terms of the number of users. Unsurprisingly, the USA dominates the market with a 34% share, followed by Europe and China.

Alongside their development, a number of questions arise: how can the information provided be verified? How can we detect the artificial origin of a document? How can we ensure that the models are not biased? In order to answer these questions and provide a strict framework for the use of artificial intelligence in copywriting, some countries, such as the European ones, have begun to set up a common regulatory framework. But advances in the sector are rapid, and the rules difficult to put in place.