Sam Altman 和许多政治领袖认为，AI 采用得越快，生产率收益越早出现，因此 UK 政府也把在 G7 中实现最快的 AI 采用速度作为目标。尽管如此，民意并不完全认同这种诉求。美国一项民调显示，只有 6% 的登记选民认为 AI 发展太慢，30% 认为推进速度合适，而 60% 认为 AI 进展过快。因此，“AI 竞赛” 的政治叙事与大多数选民的直觉并不一致，许多人并不把“加速终点”视为值得奔向的方向。

文中并未把加速的经济论证当作铁律。UK 的历史数据表明，技术引致的行业结构变化可以慢慢吸收：1920 年时农业和矿业从业者超过 14%，到 2016 年降至不足 1%。但快速冲击可以造成局部伤害，David Autor 关于美国纺织业在 China shock 下受创的研究，以及 Eduardo Levy Yeyati 的论文都指出：两种经济体可能到达相同技术前沿，但若 AI adoption 超过劳动力再配置能力，长期终点虽可一致，永久性社会代价仍可能很高。

Anthropic 在 159 个国家对 80,000 名用户的调查显示，公众担忧并不仅在经济层面，还包括 autonomy、agency、错报信息、隐私、身心健康与依赖问题，说明 AI 变革是社会和文化议题。文中援引 Karl Polanyi 的观点：若变革方向未充分引导且被认定为过快，应尽可能放慢以保护共同体福祉。作者认为，社会应通过安全网和前置技能政策提升适应能力，但当前不少人更像坐在高速行驶却没有安全带和方向盘的汽车里，因而倾向于“踩刹车”。

Sam Altman and many political leaders argue that faster AI adoption means earlier productivity gains, so the UK government has set an explicit target of reaching the fastest AI adoption rate in the G7. Yet public sentiment is far more cautious. A recent US poll found only 6% of registered voters believe AI is moving too slowly, 30% think the pace is about right, and 60% think it is moving too fast. As a result, the AI race narrative is not well aligned with many voters, who do not see the implied destination of acceleration as naturally desirable.

The economic rationale for speed is also not unqualified. UK structural data cited in the text show technological change can be gradual and absorbable: in 1920, more than 14% of workers were in agriculture and mining, while by 2016 the share had fallen to nearly 1%. Yet rapid shocks can be painful. David Autor’s study of the China shock on US textile workers and Eduardo Levy Yeyati’s paper both show that while two economies may reach the same technological frontier, if AI adoption outruns labor-market reallocation capacity, the long-run destination may coincide but permanent social damage can still be large.

Anthropic’s survey of 80,000 users across 159 countries found concerns beyond economics, including autonomy, agency, misinformation, privacy, wellbeing, and dependency, confirming that AI change is also social and cultural. The article cites Karl Polanyi’s view that undirected change judged too fast should be slowed to protect community welfare. The author argues adaptation capacity can be improved through stronger safety nets and proactive skills policy, but many people currently feel like passengers in a speeding car without a seatbelt or steering control, so they are likely to vote for the brakes.