Is it truly "too early" for sophomores to take AI seriously, or is this belief subtly costing competent students time they can never get back? I observe the same pattern in every admissions cycle. Silicon Valley sophomores excel academically, are interested in technology, and live in an innovative environment. However, many put off doing significant AI work until their junior year because they believe universities won't value their earlier efforts. Students who already have d

Introduction Nowadays, AI programs  are ubiquitous. However, the awkward question that most families avoid is this: if AI is changing the curricula of every prestigious university, why do so many exceptionally talented students still fall into the applicant pool? It's also worthwhile to ask why admissions of ficers only pause for a small number of students who list "AI coursework" on their applications out of thousands. The answer is entirely dependent on proof and has very

Did you know that 90% of AI summer programs look exactly the same to a college admissions officer? They see the same generic certificates and the same "introductory" coursework on thousands of applications. And usually, they just turn the page. But for a small group of students, the right summer program changes everything. It doesn't just give them a certificate; it gives them proof . It turns a summer of learning into a portfolio of code, real projects, and tangible outcomes