In 2010, 70% of Americans considered a four-year college education very important; however, today, only 35% share that view.
This decline is attributed to concerns about rising education costs and uncertainty about the impact of AI on entry-level job opportunities.
Given these pressures, many families question whether a bachelor's degree, which has historically generated graduates $2 million more in income over their lifetime, is still a good investment.
According to a recent Microsoft survey, more than eight out of ten employers state that their workforce will need new skills to adapt to AI.
AI tools now handle routine tasks that were previously assigned to junior staff, from software development to auditing and financial analysis.
To remain relevant, graduates must go beyond technical execution and develop skills that AI cannot replicate: judgment, cross-disciplinary synthesis, and the ability to manage the tools that could replace them.
Some universities are already incorporating applied learning directly into degree programs, helping students leapfrog entry-level positions that AI can now perform.
At the New York Institute of Technology, students combine coursework with applied research, real-world problem-solving, and public-private partnerships.
This hands-on model is crucial for entrepreneurship, as AI lowers the barrier to starting a business, universities must treat founding and working at startups as a teachable skill.
These institutions will make quick decisions, modify course content, integrate AI across disciplines, redesign degrees with diminishing value, and expand industry partnerships to create job pathways for their graduates.
These schools not only teach theories or skill sets that could quickly become outdated, but they also teach something more durable: how to learn in real-world work environments.
Graduates leave not only with a diploma, but with the practical agility to adapt as technology and labor markets change.
Is a college degree still worth it? Yes, but only if the university is doing its job.
In the age of AI, the diploma matters less than what students actually did to earn it.
Universities must prepare students for constant change, equipping them with transferable skills and a mindset of continuous learning.