The field of language technology and AI adoption is moving towards addressing the challenges of low-resource languages and promoting equitable diffusion of AI. Researchers are exploring community-powered initiatives to develop language technology resources for underrepresented languages, and investigating the barriers to participation in such efforts. The adoption of AI-driven systems, such as fraud detection, is also being studied, with a focus on the determinants of successful implementation. Furthermore, the importance of AI literacy and ethical considerations is being emphasized, particularly in the context of library professionals and low-resource language countries. Noteworthy papers include: Awal, which presents a community-powered initiative for developing language technology resources for Tamazight, highlighting the limitations of standard crowdsourcing approaches. Measuring AI Diffusion, which introduces a novel metric for tracking global AI usage, providing insights into the correlation between AI adoption and GDP.