Why Work Experience Now Matters More Than the Certificate on the Wall

New payroll research shows experience-based knowledge is holding its value while documented, teachable knowledge becomes easy for AI to replicate.

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Parents, students and careers counsellors keep asking the same question: which degree will survive artificial intelligence? It is an understandable question, and it is the wrong one. The latest evidence suggests AI is not sorting workers by the name of their qualification. It is sorting them by the kind of knowledge they bring to work. Knowledge that can be written down, taught from a textbook and checked against a procedure is becoming cheap. Knowledge built through practice, correction and real responsibility is not. That distinction should change how South Africa thinks about degrees, internships and first jobs.

CONTEXT AND BACKGROUND

The clearest signal comes from payroll data. Erik Brynjolfsson and colleagues at the Stanford Digital Economy Lab report that employment among workers aged twenty-two to twenty-five in highly AI-exposed occupations now sits about nineteen per cent below where it would be had it kept pace with less-exposed peers. The adjustment is happening mainly through reduced hiring rather than layoffs. Their revised analysis adds a more revealing detail. The declines are concentrated in occupations built on codified knowledge, while employment has grown for experienced workers whose roles rely on tacit knowledge gained through practice and mentorship. The authors stress that these are descriptive patterns rather than proof of cause.

Employers are seeing the same shift. PwC’s analysis of more than two million entry-level jobs in the United States found that the junior roles most exposed to AI are seven times more likely to demand traditionally senior skills such as leadership and creativity. Its global workforce leader notes that AI is removing much of the routine work that once served as an apprenticeship. Taken together, the two findings describe a trap. Junior roles are being asked to supply senior judgement at the very moment AI is removing the routine tasks through which that judgement used to be learned.

INSIGHT AND ANALYSIS

None of this means the degree has lost its value. In the second quarter of 2026, South African graduates faced an unemployment rate of twelve point four per cent, against thirty-nine point two per cent for people without matric, although graduate unemployment itself rose during the quarter. The problem is what the certificate alone now signals. A qualification is largely a record of codified knowledge, which is precisely what AI reproduces most easily. What it cannot certify is judgement gained through supervised work.

Graduates already sense the gap. In research for the South African Graduate Employers Association, fifty-one per cent of candidates who secured offers named lack of work experience as a major difficulty. Nearly half began job hunting only in their final year of study. The association itself describes work experience as the piece most often missing for new graduates, and urges employers to build it through learnerships, internships and graduate programmes.

I have previously written about this in the context of adaptability. I argued that advice to build breadth and keep options open is paid for in time, and that South Africa’s student funding rules ration that time by household income. Work experience risks the same fate. If tacit knowledge is built through internships and supervised practice, students who depend on financial aid, or who are the first in their families to graduate, may be the least able to afford the low-paid placements that build it.

IMPLICATIONS

Three groups need to act differently. Universities should treat work-integrated learning, mentorship and applied projects as the core of a resilient qualification rather than an optional extra. Employers must recognise that cutting junior intakes to capture short-term AI savings destroys the pipeline that produces tomorrow’s senior talent. TechCentral’s reporting on South Africa’s tech sector found that thirty-seven per cent of junior developers had no career progression framework at their employer. It warned that companies skipping the junior hire are also skipping the pipeline that produces the senior engineers they say they need. Students and parents should treat any real work exposure, including part-time jobs outside a chosen field, as a serious asset rather than a distraction from study. For boards, this belongs on the risk register as a succession and oversight risk. If junior pipelines thin out today, who will have the contextual judgement to oversee the AI systems the organisation depends on a decade from now?

CLOSING TAKEAWAY

The certificate on the wall still opens doors in South Africa, but it no longer proves what employers most need to know. As AI absorbs the knowledge that can be written down, the premium shifts to knowledge that can only be earned. The degree that holds its value will be the one attached to real practice, real feedback and real responsibility. Leaders who want capable professionals in ten years must start providing that experience now.

Johan Steyn is a prominent AI thought leader, speaker, and author with a deep understanding of artificial intelligence’s impact on business and society. He is passionate about ethical AI development and its role in shaping a better future. Find out more about Johan’s work at https://www.aiforbusiness.net