我们忽略了一个关键原因:美国人为何厌恶人工智能
We're Missing a Key Reason Why Americans Hate AI

原始链接: https://www.derekthompson.org/p/were-missing-a-key-reason-why-americans

AI 之所以不受欢迎,可能不只是因为技术悲观情绪、反 billionaire 情绪、对企业和数据中心的不信任,或失业担忧,还因为它的经济现实与自身承诺相矛盾。萨姆·奥尔特曼(Sam Altman)、马克·安德烈森(Marc Andreessen)和达里奥·阿莫代伊(Dario Amodei)等 AI 行业领袖曾预言,强大的 AI 会让商品和服务几乎免费,大幅降低劳动力成本,并使数百万人失业。然而迄今为止,AI 并未造成大规模失业,也没有带来广泛的物质富足。相反,AI 的大规模建设正在为科技公司和亿万富豪创造巨额财富,同时推高整个经济体的物价。这尤其让那些已经不堪生活成本之高的消费者感到沮丧。 核心矛盾在于:一种被宣传为通往后物质时代富足之路的技术,却正在让经济中 essentials 的实际成本更高。了解 AI 当前对经济的影响,可能比猜测遥远的未来更有用。

Hacker News 的讨论帖普遍质疑文章中的说法,即美国人不喜欢 AI,主要是因为它未能兑现廉价或资源充裕的承诺 Most 评论者反而列举了眼前且直观的问题:工作岗位被取代、工作强度增加、抄袭和创作质量下降、客服系统部署效果不佳、企业攫取利润、贫富差距扩大,以及快速建设数据中心带来的成本、噪声和污染。 不少人认为,AI 的好处仍然局限在少数场景,或者只是愿景,但它的危害却是大多数人正在亲身经历的。另一些人则指出,AI 确实带来了生产力提升,而且目前仍处于早期应用阶段。还有少数人质疑公众反对的强烈程度,认为许多人对 AI 只是 passively negative,并不存在 actively hostile. actively negative,并不存在 actively hostile。 关于“媒体公司是在保护自己免受 AI 摘要影响”这一解释,讨论中出现了不同看法。评论者承认,相关的环境担忧确有其事,但批评某些报道依赖技术上具有误导性的论点。总体而言,讨论似乎表明,人们的不信任主要源于利益和成本的分配不均:谁在获得 AI 的好处,又是谁在承担它的代价。
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原文

Artificial intelligence might be the most instantly unpopular emerging technology in modern history. Why? Off the top of my head, I suppose one could blame the rise of tech pessimism, the emergence of anti-billionaire politics, the fallout from disappointments of the social media age, the demonization (sometimes fair, sometimes unfair) of data centers, growing distrust of corporations in general, or the fact that people don’t appreciate being told that a new product is going to disemploy their children and destroy the world, while its architects become billionaires.

All fair. But there’s another reason that these explanations overlook.

For years, AI’s builders said that their technology would create an abundance of cheap stuff. In 2021, Sam Altman predicted that powerful AI would give us “Moore’s Law for Everything, and “the price of many kinds of labor” would fall toward zero, pulling down the cost of goods and services. Marc Andreessen imagined that powerful AI would “save the world” by making “everything we care about better” and maybe drive prices “across the board to virtually zero.” Many of AI’s builders, including Dario Amodei and Altman, anticipated that the plunging price of superintelligence would be so dramatic that millions of jobs would disappear.

But AI’s reality is the opposite of the forecast. AI has not caused mass unemployment in a period of plunging prices. Instead, everybody has a job, and everything is getting more expensive.

This is one of those facts that is both obvious and far stranger than most people seem to appreciate. Americans are miserable about the cost of living, and the Conference Board measure of consumer confidence just hit its lowest mark since 2014. Year after year, Americans scream at their politicians: “Would you please just do something to make life more affordable?” And meanwhile, the AI buildout is not only minting a generation of billionaires; it’s doing so by directly pushing up prices across the economy.

You do not have to pick a side—pro or anti-AI—to see the irony here: a project broadly predicted to reduce prices and create post-material abundance is instead raising prices and showing everybody just how materially finite some parts of the economy are.

Below, for paying subscribers, I’ll explain exactly how AI is contributing to higher prices, how this period of inflationary AI might end, and why I think it’s so useful to think about what AI is actually doing in the economy right now rather than merely forecast what it might do in various imagined futures.

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