By Sweta Tibrewal
I’ve sat across from more than a thousand students over the past nine years. In the last two years alone, something fundamental has changed in the room. Students now arrive with essays that read cleaner, more structured, and strangely similar. Parents ask whether it’s okay to use ChatGPT for personal statements. College lists appear almost overnight, generated by tools that claim to know the “perfect fit.” AI is no longer a side conversation. It is sitting in the middle of the application process.
I do not treat AI as the enemy. I treat it as a force that has quietly raised the standard of what “prepared” actually means. The students who will thrive are not those who use AI the most. They are the ones who use it carefully while protecting the parts of themselves that machines still cannot copy—judgment, original voice, and the capacity to stay recognizably human.
Look at the numbers and patterns we are already seeing. Surveys across the United States and India show sharp rises in both student and parent use of AI for essays, activity descriptions, college shortlists, and even high-school course planning. Surface level polish is now common. Experienced admissions readers are getting better at spotting what feels generic. Many selective colleges treat fully AI-generated content as a form of misrepresentation. Officers routinely compare essays against graded school writing, short answers, interviews, and the overall consistency of the file. Homogenized “perfect” prose has become a quiet red flag.
Some universities are also experimenting on their side. Virginia Tech and others have tested AI-assisted reading tools that help score writing mechanics or flag inconsistencies, while still keeping human judgment as the final filter. On the career side, the shift is equally clear. Reports from the World Economic Forum, OECD, and Microsoft all point to the same conclusion: a large share of the skills used in most jobs will change by 2030. AI literacy appears more frequently in job postings, yet employers repeatedly say they will not hire without foundational AI fluency paired with human judgment.
There is a quieter risk that concerns me more. When students lean too heavily on AI for thinking, writing, and problem solving, they can slowly weaken the very capacities universities and employers still value most critical thinking, creativity, and an authentic voice. Getting into a good college is no longer just grades plus activities plus a well-written essay. It is about demonstrating the capacity to learn, adapt, exercise judgment, and remain yourself in an AI-augmented world.
When families ask what students actually need, I talk about three overlapping areas.
First, the human core. Critical thinking being able to look at an AI output, spot bias, and decide what is trustworthy. An original voice that can tell a story only that student could tell. Creativity. Ethical reasoning. Emotional intelligence, collaboration, empathy, and resilience. And metacognition: knowing how you learn and when to put the tool down.
Second, practical AI literacy. Not coding, just understanding. Knowing that these systems work through pattern recognition, produce probabilistic answers, and depend entirely on their training data. Learning to prompt effectively, iterate, fact-check, and recognize limitations. Most importantly, knowing when AI helps and when it starts to replace real thinking.
Third, adaptive capacity. Curiosity. The habit of continuous learning. Treating AI as a partner rather than a replacement. And building a profile through real experiences research, internships, community projects, creative work that show initiative and impact. These experiences remain difficult for AI to fake convincingly.
Technical AI skills matter for some paths. For the majority of students, the durable advantage is the combination of strong human capabilities and the judgment to use AI well.
This reality is also changing how college counseling must work. The old checklist approach grades, scores, activity lists is no longer enough. I spend more time now protecting a student’s authentic voice. I ask them to generate their own thinking first, then use AI only for brainstorming, research, or light polishing. The final application has to sound like them.
Best fit guidance has become more important, not less. In a world full of homogenized advice, students need help identifying colleges that match their actual strengths, values, and learning style, not just rankings or whatever an algorithm suggests.
I also talk frankly with parents about the risks of over reliance. Skill atrophy is real. Detection risk is real. The gradual loss of originality is real. There is an equity dimension too. AI can widen gaps if only well-resourced students learn sophisticated and ethical use. Access to counseling that teaches wise use of these tools becomes a form of fairness in itself.
At The Right Coll we keep intake limited so every student works directly with me. We focus on self discovery and long-term thriving rather than chasing the highest ranked acceptance letter. That approach feels even more necessary now.
The practical advice I give is direct. Start with real reflection about interests and values, do not outsource that to an AI quiz. Build genuine experiences first, then use AI to amplify research or organization. Practice writing without it regularly so your own voice does not fade. Learn the basics of how these tools work and where their limits are. Choose activities that develop judgment and real impact instead of pure resume padding. Seek guidance that prioritizes fit over prestige. Treat the application process as a chance to figure out who you are becoming.
Schools have parallel work. Integrate AI literacy across subjects, not only in computer science. Redesign assessments to value process and original contribution. And teach students when not to use AI.
I keep returning to a few simple truths. AI can generate answers. Students still need to know which questions matter and which answers to trust. In an age of polished applications, authenticity has become a competitive advantage. The goal is not students who can use AI. It is students who can shape what AI does and remain fully human while doing it. Best fit colleges have always mattered. In a world of generic advice, they matter even more. We should prepare young people not only for the jobs of tomorrow, but for the humanity of tomorrow.
College admissions have always been about more than the acceptance letter. In an AI-driven world, the deeper work of helping students discover who they are, what they care about, and how they want to contribute matters more than ever. Future ready learning is not mainly about mastering the newest tool. It is about developing the judgment and authenticity to use any tool wisely while staying fully human.
That is the work I do every day. And that is what I believe students and families need most right now.
– The author is the Founder & Chief Counselor of The Right Coll
DISCLAIMER: The views expressed are solely of the author and ETEducation does not necessarily subscribe to it. ETEducation will not be responsible for any damage caused to any person or organisation directly or indirectly.
