近期的研究指出，虽然在整体经济层面上尚未出现人工智慧导致大规模失业的明确证据，但针对高暴露于人工智慧的职业进行深入数据分析后发现，这些从业人员的薪资成长与职务流动性已受到负面影响。特别是经验较浅的基层员工，其薪资降幅可达百分之五至百分之十，且转换工作的机率也大幅降低。这显示人工智慧虽然尚未完全取代人力，但已开始削弱特定工作者的议价能力与劳动市场地位。
这种现象与人工智慧擅长「执行」而非「评估」的特性密切相关。研究显示，主要负责执行明确指令的基层职位，正面临较大的就业成长压力；相对地，需要运用专业经验进行判断与评估的资深职位，则表现得较为稳健。这意味著人工智慧对职场的冲击，更多是体现在职务层级与工作性质的差异上，而非单纯淘汰整个职业。
在教育与职场应用方面，人工智慧的影响则凸显了个人自律能力的重要性。以学生为例，将人工智慧视为辅导工具并投入相同学习时间的人，其考试成绩依然优异；但若仅以此作为获取解答的捷径，学习成效则会大幅衰退。同样地，在职场上如果过度依赖科技来省去思考过程，将可能导致严重的技能退化，进而引发社会整体的能力两极化现象。
Recent studies indicate that while there is no clear evidence of widespread AI-driven job displacement at the macroeconomic level, granular data analysis reveals negative impacts on wages and job mobility for highly AI-exposed occupations. Junior and less experienced workers are particularly affected, facing wage declines of five to ten percent and a significantly reduced likelihood of transitioning between jobs. This suggests that although AI has not yet fully replaced workers, it is already eroding their bargaining power and broader status within the labor market.
This trend is closely tied to the fact that artificial intelligence is currently much better at execution than evaluation. Research shows that roles heavily focused on executing specific instructions face weaker employment growth, whereas positions requiring accumulated expertise for judgment and evaluation continue to perform well. This implies that the impact of AI on the workforce is better understood through the divide between junior and senior roles rather than across entirely different occupations.
The application of AI in education and the workplace also highlights the growing importance of personal conscientiousness and self-discipline. For instance, students who use AI as a tutoring tool while maintaining their study effort perform well on exams, but those who use it merely as a shortcut experience a collapse in learning outcomes. Similarly, in the professional world, relying on AI to bypass the critical thinking process risks significant de-skilling, potentially ushering in a severe divergence in capabilities across society.