Diploma Is Not Enough: Education, Career and AI in the New World with Erhan Erkut

On Dünya Gazetesi TV, host Cansu Özen welcomes Prof. Dr. Erhan Erkut for a back-to-school conversation that puts the classic family formula on trial: get into a good university, collect the diploma, and a career will follow. The core question is simple and unsettling: in a world reshaped by AI, does the name of the school still decide success, or do the skills a person builds matter more?

Why university is no longer enough

Erkut frames the old advice as a memory from his parents' generation that made sense when quotas were tight. When only a small minority of high-school graduates could enter university, almost any graduate could find durable employment. Today access has risen to roughly half of the cohort. In that new reality he repeats more forcefully a line from his book five years ago: university on its own is neither sufficient nor necessary.

The turning point in the talk is the devaluation of information itself. Erkut moves from a student life with no internet, where you searched for knowledge in the library, to a present where information is ubiquitous and almost free. Add the recent AI surge and the main function he attributes to universities, delivering content, loses weight. What matters now is knowing how to reach information, to analyze and synthesize it, and to turn it into actionable insight.

Life outside class as the real curriculum

That is why he describes education not as a passive construction project where others fill your head, but as engineering work owned by the student. What you learn outside lecture halls counts at least as much. Volunteering in civil society, taking responsibility in student clubs, staying in sports teams, organizing events, building relationships and working whenever you can accumulate more signal than the department name alone. If a student hands themselves over to the institution and says shape me, disappointment is likely.

The backbone of the episode is a framework Erkut has advocated for about fifteen years: 21st-century competencies. He built an awareness program on it eleven years ago and has reached more than 20,000 students for free. Learning skills come first: critical thinking and problem solving, generating new ideas and innovating, and communicating well plus collaborating. He argues that the system often trains obedience rather than systematically growing these three clusters.

Around that core sits a layer of literacies. In a world where everyone produces content, information and media literacy gain weight. For technology literacy he has long argued that everyone should learn at least one programming language; now he adds a second requirement, using AI as an assistant. Language is part of the same picture. Without English you remain locally confined, he says. Most technical sources appear in English first, so relying on translation means starting with a delay, and AI translation does not erase the advantage of knowing the language.

Life skills complete the set: taking responsibility, self-awareness, environmental and social awareness, conflict resolution and emotional maturity. A diploma may open a door, but moving upward depends on managing relationships and emotional intelligence. The outlook for work is sobering. Erkut notes a roughly 30 percent drop in entry-level postings in the United States, with new graduates absorbing the first impact of AI. The prestige of corporate life built over two to three centuries is eroding; independent work, building your own venture and operating as a freelancer are becoming more prominent. These abilities, he stresses, do not grow in the classroom, they grow by doing.

Are Turkish universities ready for AI

Asked whether Turkish universities are ready, Erkut is cautious and critical. He points to a MIT report published about a month ago as a comprehensive roadmap every administrator should read, and cites MEF University where he last worked as a positive example. Treating a ban as a first response, he argues, is like banning calculators. His practical list is concrete: name an AI champion in each department, secure the needed paid subscriptions, run at least one AI-supported course per department, and establish a university-wide research group with seminars to diffuse practice. He has written a strategy plan along those lines. Private companies, he observes, adopt AI fastest for workforce development, private schools follow, and the largely public higher-education sector will adjust more slowly and painfully.

The most practical segment deals with what a new graduate should put on a CV. In hiring interviews the first real question is already known: forget the course list, tell us about the projects you shipped. Well-designed programs place a project in almost every course in the third and fourth years, naturally teaching project management, presentation, teamwork and time planning. A student who completes ten to fifteen such projects lives through that loop. What recruiters scan for is not the university name or the GPA, but proof of those experiences. The message must be I did not just pass courses, I produced tangible outcomes that show how I communicate, collaborate, think critically and create. Internships and volunteering reinforce the same proof; without any project, team experience or meaningful international exposure, convincing a private employer becomes hard.

After hiring and the employer's math

The first three to six months after hiring are framed as a probation where contribution must be demonstrated again and again, toxic dynamics avoided and collaboration put forward. Many firms already avoid hiring without an internship, which sharpens the expectation. Erkut offers a rough arithmetic that is instructive: if an employer pays you three units, it expects about five units of value, and a one-unit investment in your growth should return roughly two. This is not charity, it is retention and productivity logic. Institutions that fail to offer a growth path and post-diploma learning support should not survive, he says. He puts the shelf life of a diploma at about five years, after which the employer must help plan the next learning cycle.

For parents the prescription breaks the usual pattern. Maturing quickly does not come from serving everything on a tray, but from giving responsibility. It starts with small household tasks like making a bed or helping with cleaning and means treating the child as an equal member of the family, not a prince or princess who is served. Reducing pressure to a single exam metric is no longer useful; out-of-school education is the real complement. Erkut shares his own story: working in his father's shop in high school showed him what he did not want, which pushed him toward studies, while the same experience steered his brother differently. He notes that in Canada even students from wealthy families normally gain work experience in high school. Spending time in unfamiliar neighborhoods, joining summer camps, engaging with civil society and building a funded work-and-travel stay or a paid insured internship abroad give early contact with real life. A language base from primary school, reading books regularly and meeting AI early but in a measured way belong to the same package. On screens the same balance applies: not a ban, but limited and intentional use.

Books and the future of learning

The episode circles back to the book Sistem Çaresiz Eğitim Sizde, written about five years ago. It maps education from a historical perspective to today's breaks: internationalization, entrepreneurial focus, personalized programs, remote learning, the fading weight of diplomas and the unbundling of curricula, with a final chapter that asks what teachers, parents and students should each do. Erkut says he is now preparing a new book focused on AI in education and is testing the future in a high school he leads, for example by asking students to have AI draft an assignment and then critique its output, with assistant bots available around the clock. He recalls the latest PISA results where socioeconomic gaps appear as if children from lower backgrounds were four years behind; giving everyone the same exam is not enough for fairness, the same quality of education must be made accessible. Technology will not deliver perfect equality, he notes, but it can substantially rebalance a stratified system.

In the closing question, what would he prioritize if he were 18 again, Erkut first points to his own book with a smile and then sharpens the list: do not settle for department courses only, deliberately take a philosophy and a psychology course as well, carry responsibility in clubs, work at every opportunity and design a meaningful international experience. On AI, learn to use it as a personal assistant rather than a search engine. Let it accelerate research while keeping human control over data analysis, where he still does not find reliability complete, though it will improve. Online courses now make that learning accessible. Independence, confidence, repeated teamwork, reflection on conflict and steady investment in emotional maturity, he suggests, remain the most durable bets for the long run.