For generations, young people have been given a simple formula: earn a university degree, find a secure job and build a successful life.

However, that formula is no longer reliable.

University is still essential for professions such as medicine, engineering, law and scientific research. Nevertheless, spending several expensive years earning a degree without a clear career goal may no longer be the best use of your time, money and potential.

Therefore, ask yourself one important question:

Will this degree create more value than the skills, experience and business I could build during the same period?

Higher Education Still Pays—but Not for Everyone

Higher education has not completely lost its value. In the United States, for example, people with higher qualifications continue to earn more on average.

However, averages do not tell every student’s story. A degree may be an excellent investment for one person but an expensive credential for another. Its value depends on the subject, institution, cost and actual demand for the graduate’s skills.

Moreover, a degree no longer guarantees suitable employment. The Federal Reserve Bank of New York reported that recent-graduate unemployment was approximately 5.6% in the second quarter of 2026, while underemployment reached 42%.

In other words, many graduates were working in jobs that did not normally require a degree.

Before committing several years to university, consider:

• The complete cost of tuition and living
• Employment prospects in your chosen subject
• Expected starting salaries
• Whether the career legally requires a degree
• Whether the same skills can be learned faster

The greatest cost of university may not be tuition. It may be the opportunities you postpone.

Your Most Valuable Resource Is Time

Four years represents approximately 1,460 days. During that time, a focused young founder could learn valuable skills, interview customers, test ideas, build professional relationships and launch several products.

Even an unsuccessful startup can provide practical experience, customer knowledge, technical skills, a portfolio and valuable connections.

By comparison, assignments completed only for grades may create little lasting value—especially when students use AI to produce work they neither understand nor apply.

The problem is not learning. The problem is learning without creating.

AI Has Changed the Cost of Entrepreneurship

Previously, starting a business required significant capital, specialist employees and expensive technology. Today, one capable founder can use AI to complete work that once required an early-stage team.

For example, AI can help you:

• Research markets and competitors
• Analyse customer problems
• Develop business models
• Create proposals and presentations
• Design marketing materials
• Build websites and prototypes
• Automate repetitive tasks

Of course, AI cannot guarantee that customers will buy your product. However, it can significantly reduce the cost and time needed to test an idea.

Do Not Waste AI—or Your Own Intelligence

AI may appear inexpensive, but it is not environmentally free. Every request requires computing infrastructure, electricity and cooling.

According to the International Energy Agency, global data-centre electricity consumption reached approximately 485 terawatt-hours in 2025. Furthermore, it could rise to 950 terawatt-hours by 2030.

Therefore, using AI only to avoid thinking about an assignment wastes computing resources. More importantly, it wastes your own time and intellectual potential.

Instead, use AI to investigate problems, learn valuable skills, create prototypes and serve customers.

AI should increase human capability—not automate intellectual laziness.

How to Start With Minimum Investment

1. Find a Real Problem

Look for something that is slow, expensive, repetitive or frustrating. Then speak with people who experience that problem regularly.

2. Interview Potential Customers

Ask how they currently solve the problem, how much it costs and whether they would pay for a better solution. Most importantly, listen before trying to sell.

3. Sell a Service First

Instead of immediately building software, deliver the solution manually with AI support. You could offer research, design, tutoring, content production, lead generation or workflow automation.

4. Build the Smallest Useful Solution

Your first solution could be a spreadsheet, landing page, digital template, research report, chatbot or manually delivered service. Do not build ten features when one feature can solve the problem.

5. Ask Customers to Pay

Compliments and social-media likes are encouraging, but they do not validate a business.

Payment is the strongest form of early validation.

Start with a small paid pilot. Then use the feedback and revenue to improve your solution.

Should Everyone Drop Out?

No.

Startups are uncertain and demanding. Therefore, nobody should leave university simply because successful dropouts receive attention online.

Stay if your profession requires a degree or your programme provides valuable training and opportunities. However, consider pausing only when you have tested a real problem, developed a marketable skill, secured early customers and created a realistic financial plan.

Dropping out without evidence is not entrepreneurship. It is unnecessary risk.

Start Before Deciding to Leave

You do not have to choose immediately between university and entrepreneurship. Instead, begin during evenings, weekends and semester breaks.

• Days 1–30: Find a problem and interview customers.
• Days 31–60: Create and sell a basic solution.
• Days 61–90: Deliver it, gather feedback and seek repeat business.

After 90 days, examine the evidence. If nobody wants the solution, improve it or test another idea. However, if customers are paying, you will have a stronger basis for deciding what to do next.

Final Thought

The future belongs neither exclusively to graduates nor to college dropouts. Instead, it belongs to people who can learn continuously, use technology responsibly and turn knowledge into real value.

You do not need to abandon education. You need to stop confusing education with attendance.

Learn aggressively. Use AI responsibly. Start small. Solve a real problem and earn your first customer.

Your startup does not need to begin after graduation. It can begin today.