Faculty members are beginning to ask whether they still need as many graduate assistants for certain kinds of research work now that AI systems can summarize literature, generate code, assist with data analysis, and produce early drafts quickly enough to change the pace of projects. Not every faculty member is thinking this way, and many remain deeply committed to mentorship. Still, the conversation itself feels important because it reflects a broader shift in how research labor is being understood.
The public discussion around AI in higher education still tends to focus on efficiency. Faster workflows. Reduced administrative burden. Increased productivity. Universities are under financial pressure, and faculty exhaustion is real. Most people working in higher education can feel that strain now, even if they describe it differently.
What I keep coming back to, though, is something slightly harder to measure. What happens to students whose entry into research communities depended on doing exactly the kinds of work institutions may gradually start viewing as unnecessary or inefficient? The answer probably will not fall evenly.
Students of color have historically experienced higher education differently from many of their peers, even after gaining admission into programs that were supposed to create opportunity. In STEM fields especially, mentorship, faculty sponsorship, research access, and informal academic networks have never been distributed equally. A lot of students learned how academia worked while also trying to convince themselves they belonged there in the first place.
That reality shaped many of the interventions universities built over the last two decades. Undergraduate research initiatives expanded. STEM bridge programs have grown. Mentoring networks became more intentional. Some institutions invested heavily in pathway programs because the disparities had become difficult to ignore publicly.
Some of those efforts genuinely helped. Students who may never have imagined themselves as researchers started presenting at conferences, working in labs, and developing relationships with faculty members who took their work seriously. Research assistantships mattered in ways universities do not always quantify very well. For some students, they became the first sustained point of access to academic culture itself. Not the polished version institutions advertise externally, but the actual rhythms of research work: uncertainty, revision, collaboration, awkwardness, confidence-building, and slow intellectual development.
