目前招聘人员对毕业生操作AI工具的准备程度评价不高，并认为商学院在教授AI技能方面表现欠佳。对此，麦肯锡等企业的招聘负责人指出，由于技术技能的半衰期正在迅速缩短，比起具体的AI操作技术，他们更看重毕业生的适应力、主动学习新工具的能力，以及能够创造性解读数据的思维。
调查还发现雇主对AI的具体需求有所改变，比起使用AI制定策略，多数企业更希望员工利用AI自动化日常例行工作，以避免策略同质化。此外，调查显示毕业生的「专业素养」评分有所下降，这可能与疫情封锁导致社交技能学习中断，以及新一代员工更注重工作生活界线有关。（关键数字：19）
According to a survey by the Graduate Management Admission Council (GMAC), communication, problem-solving, adaptability, and data analysis/interpretation are the top four skills recruiters sought most among 2026 business school graduates. Although training in artificial intelligence (AI) tools currently ranks low in recruitment demand, recruiters generally believe that AI skills will become highly important in five years.
Currently, recruiters rate graduates' preparedness to work with AI tools as low and feel that business schools are not doing a good job of teaching AI skills. In response, recruiting heads at firms like McKinsey point out that because the half-life of technical skills is rapidly shrinking, they value adaptability, the ability to self-teach new tools, and creative data interpretation over specific AI technical training.
The survey also reveals a shift in employers' specific AI demands, with most companies wanting candidates to use AI to automate routine work rather than to devise business strategy, which prevents strategies from becoming identical. Additionally, the survey notes a decline in graduates' perceived "professionalism," which may be linked to Covid-19 lockdowns disrupting social skills development and a new generation placing greater emphasis on work-life boundaries.