The presentation takes up this current question and formulates answers to the increasingly concentrated use of research results as training data for artificial intelligence. These answers are aimed at building scalable open research infrastructures in which the rights to the research output remain entirely in the hands of the scientists – strategies the presentation will address include: involvement of the scientific community - involvement of the management levels at universities - strengthening the topic in research funding - enabling technical standards (APIs, database systems, PIDs).

This lecture series tackles these pressing issues, exploring the role of libraries, sustainability, and long-term preservation. It critically examines competition, commercialization, and governance in academic publishing while addressing equity and the broader impact of open science policies. Alternative models, such as shadow libraries, commons-based publishing, and the Global South’s contributions, offer fresh perspectives on the future of Open Access.