
As AI reshapes the economy, a growing debate asks who should benefit—and who should pay the price.
Americans are hanging on by their fingernails in an economy that funnels wealth to the ultra-rich and leaves crumbs for working people. AI threatens to supercharge this divide: tech executives have warned that AI could lead to “a level of wealth concentration that will break society” and create a “permanent underclass.”
I refuse to accept that future. Building an economy that works for all of us will require multiple policy responses. But it starts by acknowledging: it’s time to tax AI and invest in people.
AI holds tremendous promise. At the same time, Americans are rightly concerned that AI could further rig our economy. The technology is creating dozens of tech billionaires, while companies are laying off workers in the name of AI. Meanwhile, AI data centers are jacking up utility bills; for families living near large data centers, electricity costs have skyrocketed by as much as 267% over the past five years.
Big Tech CEOs say this is only the beginning, predicting that AI will soon automate most white-collar tasks. Yes, some of this may be hyperbole. But there is no denying that AI is already changing the labor market. And because health care is often tied to a job, an AI wave could cost a family more than a lost paycheck. Even those whose jobs and insurance remain intact could be hit: experts warn that the hype around AI is fueling a financial bubble that threatens another economic crash.
Policymakers undoubtedly need to regulate AI and protect against its worst-case harms. We must also tackle the problem of AI’s accelerating demand for energy and ensure that families’ utility bills don’t skyrocket. And we need greater scrutiny of the murky world of private credit that finances a big chunk of AI deals so they don’t topple our economy.
But any response to a looming AI crisis must also tackle our rigged tax code.
Taxing AI is one way we make sure the winnings from AI benefit all Americans, rather than channeling them only to the wealthy few. If millions of people lose their jobs to AI, we’ll need the funds to deliver universal health care so those workers are not bankrupted by a visit to the doctor. If AI transforms the future of work, we'll need to invest in free education and apprenticeships and a new jobs guarantee so that all Americans have good-paying work. And while workers get back on their feet, we’ll need the revenue to bolster unemployment insurance to keep families afloat. The only way we can get there is by overhauling our tax code.
We can start by making corporations pay their fair share. Right now, companies pay payroll taxes for their workers but get tax breaks for investing in technology—effectively, a tax penalty for hiring human beings and a tax break for buying equipment. In an AI world, that means our tax code is incentivizing corporations to fire people and replace them with AI. That’s wrong. We need to level the playing field by raising taxes on corporations and capital gains and closing corporate loopholes.
But there’s more. Some of the wealthiest individuals in America get away with paying lower tax rates than a Boston public school teacher because our system taxes income but not wealth. AI billionaires are running the same playbook: get rich off massive stock valuations and avoid paying the taxes that would be owed if those funds were earned as salary. If it wasn’t clear before, there’s no question in a world of AI: we need a wealth tax. Jeff Bezos and Sam Altman shouldn’t pay lower tax rates than the workers they fire.
Rethinking our tax code must also include going to the source: that means taxing AI companies directly, which can start with taxing AI data centers. The majority of AI data centers are controlled or operated by trillion-dollar companies. By imposing a reasonable excise tax on the energy used by data centers, families could recoup some of the gains of AI, while America continues to stay competitive in the AI race. A well-designed tax would focus on the companies that can afford it and scale with AI’s impact: the bigger the data center, the more they pay.
We can't be afraid to consider even bigger and bolder proposals to tax AI too. Because here’s what I see clearly: if we overhaul our tax code and tax AI, we can use that money to build a country that works for everyone. A country where health care is treated as a human right, where every American is guaranteed a good job, and where education isn’t a privilege reserved for the wealthy.
AI was trained on human creativity and intelligence, funded in part by federal investments in scientific research, and powered by data centers built on American land and using our shared electric grid. The American people deserve to share in the success of this technology.
为何我们需要对人工智能征税
随着人工智能重塑经济格局,一场日益激烈的辩论聚焦于:谁应从中受益,而谁又该为此付出代价。
在美国,人们在经济困境中苦苦挣扎,财富源源不断地流向超级富豪,而普通劳动者只能得到微薄的份额。人工智能有可能加剧这种贫富差距:科技行业高管警告称,人工智能可能导致 “财富集中到足以破坏社会稳定的程度”,并造就一个 “永久性的底层阶级”。
我绝不接受这样的未来。要构建一个惠及所有人的经济体系,需要出台一系列政策措施。但首先要认识到:是时候对人工智能征税,并投资于民众了。
人工智能蕴含着巨大的潜力。与此同时,美国民众担心人工智能会进一步扭曲我们的经济,这种担忧不无道理。这项技术造就了数十位科技亿万富翁,而企业却以人工智能之名裁员。此外,人工智能数据中心大幅提高了水电费;对于居住在大型数据中心附近的家庭来说,过去五年里,电费飙升了高达267%。
大型科技公司的首席执行官们表示,这仅仅是个开始,他们预测人工智能很快将使大多数白领工作实现自动化。诚然,其中或许存在一些夸张成分。但不可否认的是,人工智能已然在改变劳动力市场。而且由于医疗保健通常与工作挂钩,人工智能浪潮可能让一个家庭失去的不仅仅是一份薪水。即便那些工作和保险都得以保留的人也可能受到冲击:专家警告称,围绕人工智能的炒作正在催生金融泡沫,有可能引发另一场经济危机。
政策制定者无疑需要对人工智能进行监管,防范其可能带来的最严重危害。我们还必须解决人工智能对能源需求加速增长的问题,确保家庭水电费不会大幅飙升。同时,我们需要对为大量人工智能交易提供资金的晦涩难懂的私人信贷领域进行更严格审查,以免其拖垮我们的经济。
但要应对迫在眉睫的人工智能危机,任何举措都必须解决我们不合理的税收制度问题。
对人工智能征税是确保人工智能带来的收益惠及全体美国民众,而非仅流入少数富人腰包的一种方式。如果数百万人因人工智能而失业,我们将需要资金来提供全民医疗保健,这样这些劳动者就不会因看一次病而破产。如果人工智能改变了未来的就业格局,我们就需要投资于免费教育、学徒培训以及新的就业保障计划,确保所有美国人都能拥有一份高薪工作。在劳动者重新站稳脚跟的过程中,我们需要税收收入来加强失业保险,维持家庭生计。实现这一切的唯一途径就是全面改革我们的税收制度。
我们可以从让企业承担应有的税负做起。目前,企业为员工缴纳工资税,但在投资技术方面却能获得税收减免——实际上,这是对雇佣人力征税,而对购买设备给予税收优惠。在人工智能时代,这意味着我们的税收制度在鼓励企业裁员,并用人工智能取而代之。这是错误的。我们需要通过提高企业税和资本利得税,并堵住企业税收漏洞,来营造公平的竞争环境。
但这还不够。在美国,一些最富有的人缴纳的税率比波士顿公立学校的教师还低,因为我们的税收体系对收入征税,却不对财富征税。人工智能领域的亿万富翁们也在沿用同样的手段:通过巨额股票估值致富,却避免缴纳如果这些资金作为工资所得应缴纳的税款。如果以前还不明确,那么在人工智能时代,毫无疑问:我们需要征收财富税。杰夫·贝索斯和山姆·奥特曼缴纳的税率不应低于他们解雇的员工。
重新审视我们的税收制度还必须追根溯源:这意味着直接对人工智能公司征税,可以从对人工智能数据中心征税入手。大多数人工智能数据中心由市值万亿美元的公司控制或运营。通过对数据中心使用的能源征收合理的消费税,美国家庭可以从人工智能的收益中分得一杯羹,同时美国在人工智能竞赛中仍能保持竞争力。设计合理的税收应针对有能力承担的公司,并根据人工智能的影响程度进行调整:数据中心规模越大,缴纳的税款就越多。
我们也不应畏惧考虑更大胆的人工智能征税提案。因为我清楚地看到:如果我们全面改革税收制度并对人工智能征税,我们就能利用这些资金建设一个惠及所有人的国家。在这个国家,医疗保健被视为一项人权,每个美国人都能确保拥有一份好工作,教育不再是富人独享的特权。
人工智能是基于人类的创造力和智慧发展起来的,部分资金来自联邦对科学研究的投资,其数据中心建在美国的土地上,并使用我们共享的电网。美国人民理应分享这项技术带来的成功。
funnel [ˈfʌnl] vt. 使成漏斗状;使汇集 vi. 通过漏斗等;成漏斗状 n. 漏斗;烟囱 jack up 提高;顶起;增加 utility [juːˈtɪləti] n. 实用;效用;公共设施;功用 adj. 实用的;通用的;有多种用途的 hyperbole [haɪˈpɜːbəli] n. 夸张法;夸张的语句 intact [ɪnˈtækt] adj. 完整的;原封不动的;未受损伤的 topple [ˈtɒpl] vt. 推翻;颠覆;使倒塌 vi. 倾倒;倒塌;摇摇欲坠 bolster [ˈbəʊlstə(r)] vt. 支持;支撑;鼓励 n. 长枕;靠垫 incentivize [ɪnˈsentɪvaɪz] vt. 激励;刺激;赋予动机 recoup [rɪˈkuːp] vt. 收回;恢复;偿还;扣除 vi. 获得补偿;收回投资
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