旧金山湾区的科技业员工普遍担忧，人工智慧的发展将创造出一个「永久的底层阶级」。随著模型逐渐逼近通用人工智慧，少数科技精英将垄断平台、资料中心和能源等资源，而代理型人工智慧和先进机器人将取代大量现有劳动力，导致多数人面临失业，并因为技能贬值而难以赚取体面的收入。

虽然目前的劳动市场数据尚未提供确凿的证据，但相关研究指出，自动化可能会导致劳动市场的两极化。具备高专业技能且能善用人工智慧的劳工将获得大幅度的薪资增长，而从事低技术性工作的劳工则会面临技能被机器取代的风险，进而导致薪资被压低，加剧整体的收入不平等。

这种生产力与薪资的两极化发展可能会带来长期的社会影响，包括降低社会流动性以及减少对低收入族群的教育投资。尽管有人认为人工智慧将降低商品价格并使消费者受益，但决策者仍应未雨绸缪，积极强化社会安全网，以应对资源分配不均的问题并防范经济差距进一步扩大。

Tech employees in the San Francisco Bay Area are widely concerned that the development of AI will create a "permanent underclass." As models approach artificial general intelligence, a small tech elite will monopolize resources such as platforms, data centers, and energy, while agentic AI and advanced robotics will replace a massive amount of the existing workforce, causing the majority to face unemployment and struggle to earn a decent income as their skills devalue.

Although current labor market data has not yet provided conclusive evidence, relevant research indicates that automation could lead to a bifurcated labor market. Workers with high professional skills who can effectively utilize AI will experience massive wage growth, whereas workers in low-skill jobs will face the risk of having their skills replaced by machines, pushing down wages and exacerbating overall income inequality.

This polarized development of productivity and wages could have long-term societal impacts, including reducing social mobility and decreasing educational investment in low-income populations. Although some argue that AI will lower commodity prices and benefit consumers, policymakers should still take proactive measures and actively strengthen the social safety net to address the uneven distribution of resources and prevent economic disparity from further widening.