In our Manifesto, we call for (and claim to stand for): knowledge for people and planet, not for profit, and a publication counter-culture. Notably, we claim that: “More than a journal, Degrowth promotes a new publication culture, one that puts quality before quantity and that embraces the principles of slow science. A collaborative science that is free, open, and accessible to all, and an emancipatory science that takes the urgency of the ecological crises seriously while also caring for researchers' well-being. In other words, a science that embodies degrowth.” The manifesto goes on, but in a nutshell, it positions the journal against a metrics-driven, productivity-obsessed culture of academic production that is at odds with the ethos of degrowth.
This positioning is about attempting to develop a counter-hegemonic alternative that not only reduces the negative externalities associated with the growth paradigm, but importantly tries to protect and enhance the well-being of the (human) scholars working in this field. Specifically: “This metric-driven way of doing research and science reproduces a toxic system that encourages certain paradigms that are often unable to tackle the pressing issues of our time. On top of that, it is also a culture that weighs heavily on (often overworked) academics, perpetuating unsustainable practices of fast and furious scholarship. Science must be socially useful, but it must also be socially sustainable.”
Further, in our guide for authors, we note that: “We aim to provide our initial desk review response to the author within 2 weeks and we ask our peer reviewers to submit their reviews within 8 weeks. We are deeply mindful, however, that this process is entirely reliant on unpaid voluntary contributions and this means that these timescales will not always be possible. In line with our values, we will always prioritise quality over speed.”
The use of Generative AI in academic production is fundamentally at odds with these values. Not only is it disastrously entangled with the dominant sociotechnical imaginary and the pursuit of exponential economic growth through exponentially increasing productivity (in short, a tool of extractive, exploitative capitalism), but it also intensifies the toxic culture of capitalist-captured scholarly publishing that we claim to stand against. Generative AI tools for “research” do practically nothing to contribute to quality, but they do increase speed and scale. They accelerate the production of academic texts, including through offloading engagement with source materials and existing literature. This discourages and inhibits the development of authentic human skills and knowledge, communication, and critical reflection.
AI-powered acceleration of academic publishing is not remotely counter-hegemonic. If anything, it will further skew productivity metrics (inflating publication and citation counts) and place even higher demands on academics. For those of us in precarious employment (or aspiring to even be granted precarious employment) in academia, it raises the bar higher, further out of reach.
As such, as now indicated in our guide for authors (external link), we will no longer accept content created by Generative AI.
July 2026