The Future of AI and Yearbooks from a Yearbook Company CEO
As we ramp up for the 2026 end-of-school yearbook season, it’s becoming increasingly clear that artificial intelligence is accelerating at a pace we haven’t seen since the early days of the Internet. At Entourage Yearbooks, a next-generation yearbook company, we are actively investing in and evaluating how AI can responsibly shape the future of yearbook creation for schools and students.
I view the rise of AI much like the rise of the Internet in the 1990s. Yearbook companies that fail to understand and adapt to AI will face the same fate as those that ignored the Internet decades ago. Used thoughtfully, AI has the potential to make yearbook creation faster, more efficient, and more enjoyable. At the same time, we are very aware of the risks around content creation, image generation, and preserving the educational value of the skills students learn through the yearbook process.
At Entourage, our approach is intentional and phased. Over the next several years, we will be rolling out AI capabilities in carefully planned releases. This year, schools will begin to see AI-powered photo tagging driven by machine-learning models. These tools have reached a level of maturity where they can meaningfully assist with identifying image quality, recognizing what’s happening in a photo, and associating students with images. This dramatically improves a school’s ability to build indexes, track coverage, and ensure students are represented throughout the book.
We are also integrating AI into our support ecosystem. By training AI on our help articles and common support questions, we can improve self-service resources while simultaneously equipping our account managers and support staff with better tools. Our goal is not to replace human support, live relationships remain core to how we serve our schools, but to empower our teams to provide faster, more complete, and more consistent assistance to schools.
Looking ahead to the summer, we plan to introduce AI-assisted page creation within EDONext. Using natural-language prompts, advisors will be able to generate first-draft yearbook layouts, dramatically reducing the time required to get started. Beyond page creation, we see AI playing a role in yearbook sales, helping schools generate and coordinate outreach emails, as well as in yearbook planning itself, with recommendations for page coverage based on a school’s activities, events, and organizations.
As we move forward, we will continue to evaluate where AI makes sense, and very importantly, where it doesn’t. Our commitment is to bring the best of modern technology to schools while preserving the creativity, responsibility, and educational value that make yearbooks meaningful.

