# Gap Between Job Seekers' AI Skills and Corporate Hiring Requirements Job seekers prioritize advanced AI proficiency, while companies currently value basic practical application. - **Source:** [Maeil Business](https://www.mk.co.kr) - **Published:** 2026-11-09 - **Topic:** [careers](https://brifing.si/c/careers) - **Original article:** - **On Brifing:** https://brifing.si/s/f8f0e76f-942a-4071-9038-83f2bd5c86fe ## Perception Gap in Recruitment Nearly 77% of job seekers believe AI proficiency is a critical requirement for employment. However, only 39% of companies consider these skills important during the hiring process. This discrepancy highlights a significant misalignment between the expectations of young candidates and the current operational priorities of major domestic firms in South Korea. ## Limited Official AI Evaluation Only 20% of surveyed companies officially include AI proficiency as a formal evaluation criterion in their recruitment process. While 43% of firms consider AI experience as a reference, 37% do not utilize these skills in their assessment at all. Currently, only 1% of companies require AI skills across all job roles. ## Divergent Views on Proficiency Job seekers focus on advanced capabilities, with 54.8% aiming to master error correction and workflow optimization. Conversely, 67.5% of companies prioritize basic utility, such as information retrieval, summarization, and drafting. Firms currently prefer practical, entry-level AI usage over the complex technical innovation skills that many applicants are striving to acquire today. ## Future Shifts in Expectations Despite current trends, 82.5% of companies anticipate that the required level of AI proficiency for new hires will increase significantly over the next three years. This shift suggests that the current focus on basic tasks will evolve into a demand for more sophisticated, integrated AI usage within standard corporate workflows. ## Core Competencies Beyond Coding Companies are shifting their focus from simple AI operation to analytical judgment. Data interpretation scored 73.9 points in importance, followed by problem-solving at 73.2 and critical thinking at 72.5. Employers are increasingly seeking candidates who can interpret AI-generated outputs rather than those who merely possess technical skills in operating AI software tools. ## Educational Alignment Challenges Academic institutions are under pressure to reform curricula to better match industry needs. Experts suggest that university education should move beyond simple technical training toward practical, field-oriented programs. Integrating AI into specific majors and job-related tasks is now considered essential for preparing students for the evolving demands of the modern labor market. ## Strategic Advice for Candidates Job seekers are encouraged to stop pursuing vague, high-level AI technical certifications. Instead, they should focus on gaining hands-on experience by applying AI tools directly to their specific majors and target job functions. This practical approach helps bridge the gap between academic preparation and the actual skills required by hiring managers. ## Implications for Labor Markets The mismatch between job seeker preparation and corporate demand reflects broader structural changes in the labor market. As traditional roles decline, the need for high-skilled talent in AI-integrated fields grows. Addressing this imbalance requires a coordinated effort between educational systems and corporate hiring strategies to ensure sustainable productivity and workforce readiness. ## Sources covering this story - https://www.mk.co.kr/news/economy/12203370 — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._