Op-ed by Sidnie Duncan, Advocacy and Outreach Fellow at CCAN, originally published in the Roanoke Times.
College students today face a dilemma with artificial intelligence (AI). On one hand, AI can make schoolwork faster, clearer and learning more personalized. On the other hand, it’s tied to growing inequality, worsening climate change and real public health concerns. College students feel trapped between utilizing AI to get ahead academically or rejecting it to avoid its harms. This binary thinking oversimplifies the reality: AI can be a valuable tool, and its negatives can be mitigated through thoughtful regulation, ethical oversight and responsible development.
As the generation inheriting the consequences of today’s decisions, college students have a stake in shaping what AI becomes and a responsibility to advocate for sustainable AI development that works for everyone, not against the planet or the communities it impacts.
I am a rising senior at Virginia Tech, part of a generation that has grown up alongside rapid technological change. From touchscreen devices to virtual reality, we’ve seen the benefits and the drawbacks firsthand. We’ve seen how devices and social media impact our sleep, attention spans, self-image and social skills. We’re now watching tech reshape the lives of the next generation. We joke about “iPad kids,” but there’s an unsettling reality behind the humor. Watching our siblings and peers lose their social skills to screens has left many college students questioning the consequences of unchecked technological growth.
Fossil-fueled data centers consume gigantic amounts of electricity and water, straining local resources while increasing air pollution and environmental noise. Research shows these environmental impacts are already taking a toll on public health. On top of that, the continued proliferation of large-scale, fossil-fueled data centers could triple electricity demand, driving up utility bills for families.
Through my fellowship with Chesapeake Climate Action Network (CCAN) doing grassroots climate advocacy, I have witnessed these impacts in Northern Virginia, widely known as the data center capital of the world. From rising electricity costs to widespread water shortages, Virginians are feeling the weight of rapid data center expansion. I have spoken to both Republicans and Democrats who share concerns about this issue, reinforcing that this is not a partisan debate. It is about protecting public health, keeping energy affordable, and ensuring that our community is not sacrificed for the profit of Big Tech developers.
As digital literacy grows to be more valuable to employers, universities are creating AI-related coursework and integrating it into assignments. Last semester, four out of five of my classes included assignments that required the use of AI. What stood out wasn’t the use of AI itself, but the lack of discussion around it. For context, my major is Environmental Conservation and Society. You would think that in a field focused on sustainability, we would at least talk about the environmental, ethical and social impacts of AI before using it so extensively, but no. There was no discussion. That disconnect is frustrating, especially in fields that emphasize systems thinking.
AI isn’t just changing how we can get ahead; it’s reinforcing inequalities of who gets a chance to succeed. Over 90% of employers rely on AI to pre-screen resumes; some tools have been proven to exhibit racial and gender biases that deny candidates based on the presence of demographic signals rather than the absence of relevant skills — echoing historical patterns of hiring discrimination. AI isn’t born biased; it’s been baked into the historical data it’s trained on. Without proper correction, this will continue to perpetuate white supremacist values in hiring and will undercut the social progress we’ve made during my lifetime. If we don’t address these failures, we aren’t just tolerating discrimination; we are automating it.
We don’t have to choose between being supportive of AI or being fair to our planet and communities. Both are possible, but only if we act quickly.
We must advocate for universities and corporations to invest in renewable energy infrastructure that will support innovative technology while reducing its environmental impact. Sustainable, equitable and accountable AI development is critical to ensure the boom of AI is looked back on as being positively revolutionary. Join forces with advocacy groups to lobby your local and state policymakers to create clean energy and environmental guardrails for data centers.
Op-ed by Sidnie Duncan, Advocacy and Outreach Fellow at CCAN, originally published in the Roanoke Times.
About the Author: Sidnie Duncan is a rising senior at Virginia Polytechnic Institute & State University (Virginia Tech), where she is pursuing a Bachelor of Science in Environmental Conservation and Society.
She was the Advocacy and Outreach CCAN Fellow for summer 2026.









