Artificial intelligence is steadily making its way into the world of publishing.
It can help prepare a manuscript, check pronunciation, translate content, generate a voice or produce an initial draft.
It can also contribute to the reproduction of existing passages, imitate certain stylistic characteristics and generate books at scale.
This evolution presents many opportunities, but it also raises important questions:<\/p>\n\n\n\n
These questions concern the publishing industry, but they also extend to communications and digital marketing.<\/p>\n\n\n\n
Artificial intelligence is already being used at various stages of audiobook production.
It can help to:<\/p>\n\n\n\n
According to a study published in September 2026, 85% of the professionals surveyed already use AI at at least one stage of audiobook production<\/strong>. The applications mentioned include manuscript preparation, pronunciation checks, translation and voice generation. A voice conveys far more than verbal content. Two people can read exactly the same passage and create two entirely different experiences. The debate is not limited to AI-generated voices. These situations are not all legally equivalent. It is important to distinguish between verbatim copying, stylistic imitation, general influence and the reproduction of protected elements. AI can be used to generate an idea, suggest a structure or help rework a piece of content. The same issues arise in communication. However, producing content does not necessarily mean communicating effectively. AI can suggest several answers to these questions. Marketing translation illustrates this difference particularly well. Some expressions cannot be translated word for word. This is not an argument for presenting artificial intelligence as a threat to every creative profession. Used thoughtfully, it can provide real value. In a marketing project, AI can be used to prepare a draft, explore possible directions or adapt content into different formats. Content can be produced flawlessly and still feel impersonal. AI can struggle to understand a cultural reference, irony, double meaning or implicit intention. When a model reproduces an existing passage or closely imitates an author\u2019s style, copyright becomes a central concern. AI can produce content quickly, but it can also reinforce the same trends, expressions and structures. Even when a tool generates text, an image or a voice, a person must remain responsible for checking, approving and publishing the content. The future of content will probably be neither entirely human nor entirely automated. AI can help produce a first version. At Dya Digital, we do not see artificial intelligence as an automatic replacement for creativity or human expertise. However, technology cannot define a brand\u2019s personality on its own. Artificial intelligence can generate a voice, but it does not necessarily understand what that voice is meant to make us feel. ActuaLitt\u00e9<\/em>, \"Audiobooks: 85% of Professionals Surveyed Already Use AI\u201d, 2026. In the final version, this source should be accompanied by the original study\u2019s methodological details, including the number of respondents, countries covered and definition of AI use.<\/p>\n\n\n\n Le Monde<\/em>, \u201cHow Researchers Managed to Prompt AI Models to Reproduce Books Protected by Copyright\u201d, 2026. This source reports on research concerning the reproduction of passages from copyrighted books under specific conditions.<\/p>\n\n\n\n Ekspertgruppe for ophavsret og kunstig intelligens<\/em>, report on copyright and artificial intelligence, Danish Ministry of Culture, 2025.<\/p>\n\n\n\n Doshi, A. R. and Hauser, O. P., \u201cGenerative AI Enhances Individual Creativity but Reduces the Collective Diversity of Novel Content\u201d, Science Advances<\/em>, 2024.<\/p>\n\n\n\n French Senate, ChatGPT, et apr\u00e8s ? Bilan et perspectives de l\u2019intelligence artificielle<\/em>, information report, 2024.<\/p>\n\n\n\n <\/p>","protected":false},"excerpt":{"rendered":" Ce que le livre audio et l\u2019\u00e9dition nous apprennent sur l\u2019avenir du marketing digital L\u2019intelligence artificielle s\u2019installe progressivement dans le monde du livre.Elle peut aider \u00e0 pr\u00e9parer un texte, v\u00e9rifier une prononciation, traduire un contenu, g\u00e9n\u00e9rer une voix ou produire une premi\u00e8re version d\u2019un manuscrit.Elle peut \u00e9galement contribuer \u00e0 la reproduction de passages existants, \u00e0 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_seopress_titles_title":"L\u2019IA peut-elle raconter une histoire \u00e0 notre place ? | Dya Digital","_seopress_titles_desc":"D\u00e9couvrez ce que les livres g\u00e9n\u00e9r\u00e9s par IA r\u00e9v\u00e8lent sur le droit d\u2019auteur, l\u2019originalit\u00e9 et l\u2019avenir du marketing digital.","_seopress_robots_index":"yes","_seopress_robots_follow":"","_seopress_robots_imageindex":"","_seopress_robots_snippet":"","_seopress_robots_primary_cat":"66","_seopress_robots_breadcrumbs":"","_seopress_robots_freeze_modified_date":"","_seopress_robots_custom_modified_date":"","_seopress_robots_canonical":"https:\/\/dya-digital.com\/can-ai-tell-stories-for-us","_seopress_social_fb_title":"","_seopress_social_fb_desc":"","_seopress_social_fb_img":"","_seopress_social_fb_img_attachment_id":0,"_seopress_social_fb_img_width":0,"_seopress_social_fb_img_height":0,"_seopress_social_twitter_title":"","_seopress_social_twitter_desc":"","_seopress_social_twitter_img":"","_seopress_social_twitter_img_attachment_id":0,"_seopress_social_twitter_img_width":0,"_seopress_social_twitter_img_height":0,"_seopress_redirections_value":"","_seopress_redirections_enabled":"","_seopress_redirections_enabled_regex":"","_seopress_redirections_logged_status":"","_seopress_redirections_param":"","_seopress_redirections_type":0,"_seopress_analysis_target_kw":"IA g\u00e9n\u00e9rative et livres,livres g\u00e9n\u00e9r\u00e9s par IA,IA et copyright,AI & copyright,AI content creation,contenu g\u00e9n\u00e9r\u00e9 par IA,transcr\u00e9ation et intelligence artificielle,AI & transcreation","inline_featured_image":false,"_uag_custom_page_level_css":"","footnotes":""},"categories":[66],"tags":[],"class_list":["post-5424","post","type-post","status-publish","format-standard","hentry","category-books-ai"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false,"trp-custom-language-flag":false},"uagb_author_info":{"display_name":"Dya B","author_link":"https:\/\/dya-digital.com\/en\/author\/dya-b\/"},"uagb_comment_info":0,"uagb_excerpt":"Ce que le livre audio et l\u2019\u00e9dition nous apprennent sur l\u2019avenir du marketing digital L\u2019intelligence artificielle s\u2019installe progressivement dans le monde du livre.Elle peut aider \u00e0 pr\u00e9parer un texte, v\u00e9rifier une prononciation, traduire un contenu, g\u00e9n\u00e9rer une voix ou produire une premi\u00e8re version d\u2019un manuscrit.Elle peut \u00e9galement contribuer \u00e0 la reproduction de passages existants, \u00e0…","_links":{"self":[{"href":"https:\/\/dya-digital.com\/en\/wp-json\/wp\/v2\/posts\/5424","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dya-digital.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dya-digital.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dya-digital.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dya-digital.com\/en\/wp-json\/wp\/v2\/comments?post=5424"}],"version-history":[{"count":3,"href":"https:\/\/dya-digital.com\/en\/wp-json\/wp\/v2\/posts\/5424\/revisions"}],"predecessor-version":[{"id":5428,"href":"https:\/\/dya-digital.com\/en\/wp-json\/wp\/v2\/posts\/5424\/revisions\/5428"}],"wp:attachment":[{"href":"https:\/\/dya-digital.com\/en\/wp-json\/wp\/v2\/media?parent=5424"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dya-digital.com\/en\/wp-json\/wp\/v2\/categories?post=5424"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dya-digital.com\/en\/wp-json\/wp\/v2\/tags?post=5424"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
This figure should nevertheless be interpreted with caution. It does not mean that 85% of audiobooks are produced entirely by artificial intelligence. Rather, it indicates that AI is already present at some point in the production process among the professionals surveyed.
Artificial intelligence can deliver significant time savings for publishers, authors and production studios. It may also make certain projects more accessible, particularly when teams do not have the budget to hire a narrator or book a studio.
But an audiobook is more than a sequence of correctly pronounced words.
A voice contributes to the reading experience. It gives the narrative its rhythm, creates an atmosphere and influences how characters are perceived.
The question, therefore, is not simply: Can a machine read this text?<\/em>
We must also ask: What does it make the listener feel?<\/em><\/p>\n\n\n\nA Voice Is More Than Words<\/h2>\n\n\n\n
It can express:<\/p>\n\n\n\n\n
One may make it feel warm and intimate. Another may give it a more dramatic, energetic or mysterious quality.
Rhythm, pauses, intonation and vocal variation all contribute to the way a narrative is understood.
In a novel, a voice can make a character seem endearing or unsettling. In a documentary, it can reinforce the credibility of the content. In a children\u2019s book, it can create a particular relationship with the listener.
Technology can reproduce certain vocal characteristics.
But reproducing a voice does not necessarily mean understanding what that voice is meant to convey.
That distinction separates the simple production of sound from interpretation.<\/p>\n\n\n\nWhen AI Reproduces Existing Works<\/h2>\n\n\n\n
Researchers have shown that, in specific circumstances, some models can reproduce passages that are very close, or even almost identical, to books protected by copyright when prompted in a sufficiently precise way.
This point requires careful qualification.
It does not mean that every response generated by AI is copied from a book. It means that certain models may sometimes memorise and reproduce fragments of texts used during their training.
In some situations, a model may generate:<\/p>\n\n\n\n\n
The essential question, however, remains: At what point does AI-generated output cease to be an original creation and become a reproduction?<\/p>\n\n\n\nCreation, Imitation and Responsibility<\/h2>\n\n\n\n
In such cases, the user remains actively involved in the thinking, selection and rewriting process.
However, AI can also produce text that is very close to an existing work. This may raise questions around plagiarism, copyright and accountability.
It can also imitate the style of a recognisable author or creator. Even where the result is not a word-for-word copy, this kind of imitation can raise ethical and commercial concerns.
The fact that content has been generated by a machine does not automatically make it original.
Nor does it mean that the content is free from copyright restrictions.
The report by the Danish expert group on copyright and artificial intelligence highlights the tensions between models trained on vast quantities of text and the rights of authors, translators and publishers.
AI-generated content should therefore be checked, compared and assessed before it is published or commercialised.<\/p>\n\n\n\n\n
The Parallel with Digital Marketing<\/h2>\n\n\n\n
Artificial intelligence can generate:<\/p>\n\n\n\n\n
A relevant message must answer several questions:<\/p>\n\n\n\n\n
Although it does not always understand the nuances required to choose the right one.
A piece of copy can be grammatically correct, well structured and optimised for search engines while still feeling cold, generic or disconnected from its audience.
The quality of content therefore depends on more than its form.
It also depends on its relevance, context and ability to create a relationship with the audience.<\/p>\n\n\n\nTranslating Words or Conveying Intent?<\/h2>\n\n\n\n
A direct translation can be grammatically flawless while still being:<\/p>\n\n\n\n\n
A slogan may lose its humour. A cultural reference may become incomprehensible. A call to action may sound too strong, or not appropriate in another language.
Transcreation goes further than translation.
It seeks to preserve the intention of the original message while adapting its wording, tone, references and impact for a new audience.
AI can help produce an initial translation.
A person still needs to assess whether that translation feels natural, relevant and consistent with the brand.
The goal is not simply to make the message understood. The goal is to make the audience feel that the message was created with them in mind.<\/p>\n\n\n\nThe Genuine Benefits of AI<\/h2>\n\n\n\n
It can:<\/p>\n\n\n\n\n
It can help a team move more quickly from an initial idea to a first version.
But a first version is not necessarily a final version.
Content still needs to be checked, placed in context, adapted and, in some cases, completely rewritten.
It is also important not to confuse saving time with improving quality.
A tool may accelerate production while increasing the volume of generic or insufficiently reviewed content.<\/p>\n\n\n\nLimitations and Risks<\/h2>\n\n\n\n
Loss of Authenticity<\/h3>\n\n\n\n
It may follow grammatical rules, use the right keywords and adopt an effective structure, yet fail to create any genuine emotional response.
If every brand uses the same tools and formulations, their content may eventually begin to sound the same.
A study published in Science Advances<\/em> showed that generative AI could enhance individual creativity while reducing the collective diversity of creative output.
This finding is particularly relevant to marketing.
AI can help individuals generate ideas more quickly, but when large numbers of creators use the same models, their messages may become increasingly homogeneous.<\/p>\n\n\n\nContextual Errors<\/h3>\n\n\n\n
It may produce a sentence that appears correct but is inappropriate for the situation.
A contextual error can alter how a brand is perceived or make a message difficult to understand.
This risk is particularly significant when content is translated or adapted for multiple markets.<\/p>\n\n\n\nReproduction of Copyrighted Content<\/h3>\n\n\n\n
Businesses should avoid publishing AI-generated content automatically, without checking its originality.
They must also pay close attention to the images, voices, texts and references used in their campaigns.
Using AI does not automatically transfer responsibility to the tool.
The organisation publishing the content remains responsible for considering its provenance, compliance and intended use.<\/p>\n\n\n\nThe Homogenisation of Messages<\/h3>\n\n\n\n
Producing more does not necessarily mean producing better.
Quantity is not a substitute for relevance.<\/p>\n\n\n\nEditorial Responsibility<\/h3>\n\n\n\n
It is necessary to review:<\/p>\n\n\n\n\n
Towards Human & AI Collaboration<\/h2>\n\n\n\n
It is more likely to depend on collaboration between technology, expertise and creativity.
AI can take on certain repetitive tasks or quickly produce a range of options.
Professionals can then focus on decisions that require judgement:<\/p>\n\n\n\n\n
The human being can give it direction.
AI can suggest a translation.
A human can check whether it genuinely conveys the intended meaning.
AI can generate a voice.
A human can determine whether that voice suits the story, the audience and the desired emotion.
Technology then becomes a tool in service of strategy, rather than an automatic replacement for expertise.<\/p>\n\n\n\nDya Digital\u2019s Perspective<\/h2>\n\n\n\n
We see it as a tool capable of amplifying teams\u2019 abilities, provided that it is guided by a clear strategy.
Used intelligently, it can help organisations to:<\/p>\n\n\n\n\n
It cannot automatically understand every expectation an audience may have.
Nor can it decide, without supervision, what emotion a campaign should create.
It cannot guarantee that content is original or free from copyright concerns.
These decisions require an understanding of the context, the market and the people the message is intended to reach. That is why the use of AI should always be supported by strategic thinking and human review.<\/p>\n\n\n\nConclusion<\/h2>\n\n\n\n
It can translate words, but it does not always know how to preserve an intention.
It can produce content, but it does not automatically replace strategy.
It can even reproduce elements of existing works, raising important questions about originality, copyright and responsibility.
In audiobooks and digital marketing alike, the essential question is not simply what AI can do.
We must also ask what it should not do alone.
Because AI can produce content.
But it is the human being who gives it direction, context and meaning.<\/p>\n\n\n\nSources<\/h2>\n\n\n\n