Compiling The Future: Navigating the Glitch In The "Path to Success"
Type of Presentation
Poster Session
Location
University Library
Start Date
4-9-2026 2:00 PM
End Date
4-9-2026 3:15 PM
Abstract
100k+ salaries, flexible schedules, cool work perks, and complementary lunches–these are all things once attributed to pursuing a career in tech. However, as Computer Science enrollment has surged to nearly 250,000 students, the "golden ticket" of the degree is facing a sudden glitch. My research investigates the tension between the record-high student interest and an industry marked by mass layoffs and a decrease in internship postings. Drawing on the theory of "AI washing," I argue that many companies use the rise of Generative AI as a cover for cost-cutting measures, effectively making junior roles feel redundant. My findings reveal that while AI is automating tasks, the current job crisis is primarily driven by business model shifts that prioritize immediate efficiency over long-term talent development. To capture the human impact of this shift, my methodology pairs this industry analysis with original interviews with students to gauge their perspectives within the current climate. Finally, I outline actionable steps students can take to put themselves in a better position for employment, such as developing their “soft” skills and pivoting toward non-Big Tech sectors. While the "golden era" of effortless tech offers may be over, this project explores how a new, resilient class of engineers can navigate this evolving landscape.
Faculty / Staff Sponsor
Professor Laura White
Compiling The Future: Navigating the Glitch In The "Path to Success"
University Library
100k+ salaries, flexible schedules, cool work perks, and complementary lunches–these are all things once attributed to pursuing a career in tech. However, as Computer Science enrollment has surged to nearly 250,000 students, the "golden ticket" of the degree is facing a sudden glitch. My research investigates the tension between the record-high student interest and an industry marked by mass layoffs and a decrease in internship postings. Drawing on the theory of "AI washing," I argue that many companies use the rise of Generative AI as a cover for cost-cutting measures, effectively making junior roles feel redundant. My findings reveal that while AI is automating tasks, the current job crisis is primarily driven by business model shifts that prioritize immediate efficiency over long-term talent development. To capture the human impact of this shift, my methodology pairs this industry analysis with original interviews with students to gauge their perspectives within the current climate. Finally, I outline actionable steps students can take to put themselves in a better position for employment, such as developing their “soft” skills and pivoting toward non-Big Tech sectors. While the "golden era" of effortless tech offers may be over, this project explores how a new, resilient class of engineers can navigate this evolving landscape.
Other Presentation Disciplines:
Technology