Summary: Artificial intelligence is changing publishing, from production through to distribution. Publishers who bring AI into their workflows will hold a significant competitive advantage.
Artificial intelligence is not just another buzzword. It is here to stay, and it is changing the way we deal with information. For publishing, that shift brings both challenges and opportunities that editors need to understand if they want to stay competitive.
Publishing has always adapted to new technology, from Gutenberg's press to the digital revolution of ebooks. Artificial intelligence is the next great wave, and the editors who know how to make use of it will hold a significant advantage.
How are you preparing for it?
The pace of technological change is picking up. New AI-based tools and platforms appear every day that can streamline publishing work, from copy-editing to content distribution. The question every editor needs to ask is simple: am I ready to bring these tools into my workflow?
This is not about replacing human editorial work but about strengthening it. Editors who master AI tools get more done, make decisions grounded in data, and offer their readers better books.
What is artificial intelligence?
Put simply, artificial intelligence means computer systems able to carry out tasks that would normally require human intelligence. That includes pattern recognition, natural language processing, decision making and learning from data.
In publishing, AI can be applied at many points along the production chain. From manuscript analysis to personalised title recommendations for readers, the possibilities are broad and keep widening as the technology develops.
Chatbots
One of the most visible uses of AI in publishing is the chatbot, for customer service and for content discovery. Publishers can put virtual assistants on their sites to help readers find books by subject, genre or interest, which makes browsing more personal and more efficient.
Beyond customer service, chatbots can be used internally to speed up queries about catalogues, production deadlines and technical details. That frees the editorial team to concentrate on work of higher value.
Metadata and text analysis
Generating and enriching metadata is one of the areas where AI offers editors the most value. Natural language processing tools can analyse the content of a book and suggest relevant keywords, categories, descriptions and tags, which improves how well the title is found on retail platforms.
Automated text analysis also picks up inconsistencies, spelling errors and formatting problems at scale. For publishers with large catalogues, that ability to process in bulk saves a considerable amount of time and money.
Production and automation
In production, AI can take over repetitive tasks such as format conversion, applying styles and checking conformance with technical standards. An AI tool can, for instance, analyse an InDesign file and suggest adjustments that will make the conversion to EPUB 3 cleaner.
Intelligent automation applies to quality control too. AI-based systems can check automatically whether a digital book meets accessibility requirements, flagging problems such as images without alternative text, an incorrect heading hierarchy or insufficient contrast.
This is only the start of the conversation about AI in publishing. At Booknando we already use artificial intelligence tools as part of our daily workflow, and we keep exploring new applications to improve the quality and efficiency of what we deliver.
