Accessible, but Not Adopted: Increasing LLM Adoption among First-generation, Low-income (FGLI) College Students beyond Expanding Access

Research indicates that while large language models (LLMs) are increasingly available to underserved communities, including first-generation, low-income (FGLI) college students, mere access does not guarantee meaningful adoption. The study highlights a critical 'access-adoption gap,' suggesting that factors beyond availability influence whether users are willing to adopt LLMs and deeply integrate diverse LLM tools into their practices. This gap hinders the full realization of LLMs' social potential.

This analysis is critical for stakeholders investing in technology to empower diverse populations, as it underscores that successful initiatives require more than just providing access. Understanding and addressing the 'access-adoption gap' is essential for maximizing the return on investment in new technologies and ensuring their social benefits are fully achieved across various societal segments.

LLMs are being positioned as tools to empower underserved communities.

Forward consideration, not a verified fact.