The latest advances in Artificial Intelligence (AI), such as Large Language Models (LLMs), have provoked a massive expansion and adoption of AI applications across the board, with seemingly no sector left untouched by recent developments. Anywhere we look, from healthcare to the creative industries, from education to entertainment, from sustainability to knowledge work, AI is being adopted and adapted, funded and fundraised for, developed and designed for, researched and used for doing research. As AI continues to be treated as a necessary and unquestioned solution for a range of societal problems, we seek to ponder and challenge its perceived suitability and inevitability. Moreover, we wonder how we can go about resisting AI solutionism (i.e., the idea that technology provides solutions to complex social problems) and who gets to resist it, in particular if the structures that surround people and their specific positions constrain them from doing so. This workshop will focus on gathering and sharing lessons from experiences resisting, or attempting to resist, AI solutionism; taking stock and revisiting previous learnings from decades of work within and beyond HCI; and envisioning ways, perspectives, tools, and practices to orient ourselves and each other towards more pluralistic futures.