随着人工智能技术在职场的广泛应用，掌握AI工具的能力已从招聘的加分项演变为标配要求1。然而，这一转变带来了新的问题：求职者对自身AI能力的理解与企业的实际需求之间存在明显的认知错位1。虽然声称具备AI技能的求职者数量不断增加，但他们在实际操作测试中往往表现出较大差距1。
专家指出，企业需要改进招聘和考核方式以适应这一变化1。与其笼统地要求候选人"会使用AI"，企业应该根据具体岗位的业务流程来明确AI能力的应用场景1。招聘和评估应该转向实操案例和作业测试，而非仅依赖证书等形式验证1。从长远看，未来五年内，对AI能力的需求将从泛化逐步转向具体化，并与专业技能深度融合1。业内人士毛宇飞强调："真正拉开差距的，不是掌握工具的数量，而是能否将专业能力与AI深度结合1"。
As artificial intelligence becomes increasingly prevalent in the workplace, "proficiency with AI" has evolved from a competitive advantage into a standard requirement listed in job postings and resumes 1. However, a significant disconnect exists between how job seekers understand AI capabilities and what employers actually need 1. While more candidates now claim AI skills on their applications, testing reveals substantial gaps between stated and actual competence 1.
Experts argue that companies should abandon vague phrases like "can use AI" and instead tie AI capability requirements to specific business processes and job functions 1. Rather than relying solely on certificates or general proficiency claims, organizations should conduct hands-on assessments and practical case evaluations to properly gauge candidates' real-world AI application abilities 1. According to industry analyst Mao Yufei, "What truly sets people apart is not the number of tools they master, but whether they can deeply integrate professional skills with AI" 1.
Over the next five years, the demand for AI skills is expected to shift from generalized capability expectations toward more specialized, role-specific competencies that merge closely with individual professional expertise 1.
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