AI Revolution Forces Israeli Academia to Rethink Degree Programs

A significant majority of Israelis believe artificial intelligence will profoundly impact their choice of academic studies, according to a survey by the consulting firm Tefen. Ahead of the academic year, 76% of 2,120 respondents indicated that AI's development would greatly influence their field of study selection. Furthermore, 57% anticipate that AI will lead to the disappearance of certain professions and plan to avoid fields perceived as existentially threatened.

Young adults are now factoring in the "expiration date" of potential careers, alongside personal interest, salary, and job prospects. This necessitates a technological forecast, a challenging task even for industry professionals. Mali Bitzur Parans of Tefen observes a sense of disorientation, noting that students question their relevance in a world where robots may replace many tasks. She emphasizes the need to focus on developing expertise that enhances technology rather than being replaced by it.

While academic programs evolve over semesters, technology advances in weeks. AI agents are already writing code, analyzing financial reports, and performing accounting tasks. For students starting degrees today, this is merely the baseline, as technology may transform their intended work significantly by graduation. Avi Kaufman of BDO Israel illustrates this with accounting audits, where computers can now examine all transactions, diminishing the importance of traditional sampling methods taught in universities.

Kaufman highlights the mismatch between the slow update cycle of academic curricula and the rapid adoption of new tools by employers. This gap challenges the rationale for investing in education, as a degree completed in three to four years might become obsolete within a few years. He suggests rethinking the duration of study programs, as technology shortens the time needed to acquire knowledge.

To align training with labor market changes, Kaufman proposes a "ZIP method" of condensing and focusing curricula on immediately applicable knowledge and skills. He criticizes degrees like Business Administration for being overly broad and predicts they will be significantly shortened. The future workforce requires concise, practical education, with Generation Z seeking targeted learning. This approach aligns with a job market where continuous learning and skill updates are essential as individuals change specializations and professions.

The challenge lies in shortening studies without sacrificing the depth that creates expertise, according to Bitzur Parans. As AI tools become capable of generating code and data analysis, the focus of education must shift from knowledge acquisition to developing critical judgment. Kaufman argues that knowledge is becoming cheap, while judgment is becoming expensive, emphasizing the ability to understand problems, choose solutions, and identify machine errors.

Students are advised to build a "portfolio of skills" rather than betting on a single, technology-proof profession, combining professional depth with versatile abilities. Bitzur Parans calls on academia to reform its success metrics, evaluating graduate employment in quality positions, speed of placement, and acquisition of new technological tools. She asserts that universities cannot continue to train future generations with outdated programs.

Looking further ahead, Kaufman anticipates a resurgence of universities as centers for learning driven by curiosity and the love of wisdom, rather than solely for professional training. He predicts that in about a decade, with increased leisure time, people will return to universities to study for the sake of knowledge itself.