<p>Meta 最近宣布裁员 8,000 名员工，这不仅仅是科技行业持续动荡中的又一个头条；它是一个结构性转变的信号，应该引起任何理解消费经济基础机制的人的警觉。当马克·扎克伯格承认对人工智能的巨额资本支出直接导致了公司需要缩减规模时，他揭示了一个正在全球范围内展开的冷酷数学现实。</p>
<p><strong>自动化者悖论</strong></p>
<p>我们正在目睹经济学家所称的自动化者悖论的首次重大震荡。虽然对于单个公司来说，用十个人加上先进的人工智能来替代一个一百人的团队是完全合理的，但这种行为在整个市场上的集体结果无异于经济上的自相残杀。如果我们继续走这条全面替代人类的道路，我们并不是在构建一个更高效的未来。相反，我们正在拆解维持全球经济运转的消费引擎。</p>
<p>大型科技公司领导层所提出的逻辑表面上看似简单。Meta、亚马逊和谷歌今年仅在人工智能上的支出就将达到惊人的 7500 亿美元。为了向股东证明这些天文数字的投资是合理的，这些公司必须寻找效率。在企业的行话中，效率几乎总是减少员工人数的委婉说法。扎克伯格观察到，一个曾经需要一百人的团队现在可能只需要十个人，这证明了现代生成性人工智能的强大。这种微观经济的胜利掩盖了宏观经济的灾难。一家自动化其劳动力的公司节省了工资，但同时也将这些工资从推动其他经济活动的可支配收入池中移除。当这种情况孤立发生时，影响微乎其微。当它在财富 500 强公司中同时发生时，我们面临的是需求的系统性崩溃。</p>
<p><strong>人工智能裁员陷阱</strong></p>
<p>这使我们意识到当前时代最令人不安的现实，这在一篇具有里程碑意义的经济 研究论文《人工智能裁员陷阱》中得到了强调，该论文于 2026 年 3 月发布。该研究模拟了一个场景，即公司自动化的速度超过了更广泛经济吸收被替代劳动力的能力。它在整个全球经济的规模上识别出了一种囚徒困境。每位 CEO 都被激励去自动化以保持竞争力和保护利润率。随着每家公司都遵循这一理性路径，它们共同摧毁了购买其产品的消费者基础。我们正接近一个临界点，经济的供给侧在不知疲倦的人工智能驱动下变得超高效，而由失业人群构成的需求侧却日渐萎缩。扎克伯格本人指出，Meta 的广告收入波动与石油价格相关的消费者可支配支出有关。他或许应该更担心的是，他自己内部的效率正在剥夺那些最初会点击这些广告的消费者。</p>
<p>这尤其令人不安，因为它考验了我们过去十年所讨论的每一个传统安全网。我们早已被告知，普遍基本收入、工人股权参与或大规模技能提升计划将弥补这一差距。但事实并非如此。当人工智能的发展速度超过人类的再培训速度时，技能提升就会失败。普遍基本收入虽然对生存有帮助，但并不能替代维持增长型经济所需的强劲可支配支出。即使是资本收入税和科斯博弈也被发现不足以阻止这种下滑趋势。人工智能越强大，市场竞争越激烈，社会的经济结果就越糟糕。一个可怕的讽刺是，我们的技术越是进步，我们就越加速了自身的经济过时。</p>
<p>该研究发现的唯一有效干预措施是皮古自动化税。这是一种对用机器替代人类角色的直接税。在经济学上，皮古税旨在抑制对他人造成负面成本的活动，类似于碳税。通过对人类替代征税，我们迫使公司内化失业和消费减少的社会成本。这并不是反对进步或害怕技术，而是承认市场在放任自流的情况下不会自我修正。市场目前正在奖励那些通过解雇未来客户来割自己喉咙的公司。只有严格的政策干预才能打破这一循环，确保人工智能成为人类繁荣的工具，而不是人类存在的替代品。</p>
<p><strong>再循环，而非替代</strong></p>
<p>我们必须倡导的愿景是再循环而非替代。一个以人工智能驱动的经济的目标不应是一个人类被抛弃的世界，而是一个人工智能努力创造财富，然后支付给人类，而人类又将其花费以保持生态系统循环的世界。我们需要一个系统，让人工智能将资金传递给人类。这不仅仅是关于慈善；这是关于系统的生存。如果人工智能能够完成 90 个人的工作，那么该人工智能所创造的价值仍然必须流入这 90 个人的口袋，以便他们能够继续积极参与经济。如果人工智能所创造的财富仅仅被少数科技巨头囤积或回馈给日益缩小的投资者群体，循环就会停止，经济也会随之崩溃。</p>
<p>Meta 当前的发展轨迹警示我们，当我们优先考虑基础设施而非人力时，会发生什么。公司的资本支出指引已高达 1450 亿美元，较往年显著增加。这是对计算能力的巨大押注，却以社区为代价。当 Meta 的首席人力资源官 Janelle Gale 说到通过裁员来抵消投资时，她描述的是财富从人类劳动转移到硅硬件的过程。这在季度财报上可能看起来不错，但从长远来看是不可持续的。一个完美的人工智能和零工人的世界是一个没有顾客的世界。科技巨头们目前正在建立历史上最复杂的商店，但他们无意中解雇了所有有能力走进这些商店的人。</p>
<p>我们必须改变叙述，从询问如何利用人工智能来降低成本，转向询问如何利用人工智能来扩展人类能力。扎克伯格指出人工智能可以帮助员工启动更多新项目，这一观点是正确的，但目前却被用作裁员的理由，而非扩张。如果人工智能使一个团队的效率提高十倍，那么答案应该是用这 100 个人做十倍的事情，而不是保持产出不变并解雇 90% 的员工。我们目前在对人类劳动的看法上陷入了稀缺思维，只将其视为需要最小化的负担。我们需要将其视为需求的最终引擎。</p>
<p><strong>选择</strong></p>
<p>归根结底，我们面临的选择是政治性的，而非技术性的。自动化浪潮已经在运行，数据表明，它正在加速。我们不能等待看不见的手来解决这个问题，因为看不见的手目前正忙于编写自己的替代品。我们需要就自动化税达成全球共识，并在后劳动生产力时代重新设计财富分配的基本方式。生态系统必须保持循环。人类必须获得报酬，人类必须消费。如果我们允许人工智能打破这个循环，我们不仅是在失去工作；我们是在失去现代文明的基础。本月离开 Meta 的 8000 人不仅仅是一个统计数字。他们是系统性发热的症状，如果不加以治疗，将会破坏全球经济。</p>
<p>这一挑战的规模是前所未有的，因为变化的速度是指数级的。在以往的工业革命中，经济有数十年的时间来调整，并且新行业出现以吸纳被取代的工人。而到 2026 年，人工智能的部署速度以月为单位来衡量。这没有留下自然市场调整的空间。如果每个大型企业决定在今年自动化 10% 的员工以资助人工智能开发，随之而来的消费者信心和支出下降将引发一场无论多少算法交易都无法阻止的衰退。我们实际上正在观看一场高速追逐，目的地是一堵砖墙。避免碰撞的唯一方法是对取代本身定价，确保向自动化世界的过渡足够缓慢，以保持社会结构的完整。</p>
<p>政策制定者必须意识到，目前企业高资本支出和低员工人数的战略是一场向下的竞赛。虽然像 Meta、Nvidia 和 Amazon 这样的公司可能因人工智能的炒作而在短期内看到股价飙升，但这些估值是建立在未来增长的假设之上的。那种增长需要有可支配收入的消费者。如果中产阶级因自动化而被削弱，这些人工智能模型设计销售的产品将没有市场。我们必须倡导一个人工智能为我们服务而不是取代我们的未来。这需要对资本与劳动之间关系的根本重新思考。人类应该获得报酬，因为人工智能在工作，这一观点并不激进；它是希望保持社会的唯一合乎逻辑的结论。我们必须要求自动化带来的收益用于资助人类生活，确保经济仍然是人类繁荣的工具，而不是自主机器的游乐场。</p>
<p><em>图片来源：作者</em></p>
<p><strong><em>Benzinga 免责声明：本文来自一位未付费的外部贡献者。它不代表 Benzinga 的报道，并且未经过内容或准确性编辑。</em></strong></p>

亚马逊

谷歌-C

谷歌-A

亚马逊每日 1 倍做空 ETF - Direxion

METD

2 倍做多 Meta ETF - Direxion

METW

AMZZ

<p>Meta 最近裁员 8,000 名员工突显了 “自动化悖论”，即人工智能驱动的效率威胁到消费者需求。随着 Meta、亚马逊和谷歌等公司在人工智能方面的重金投资，它们面临着拆解支撑经济的消费者基础的风险。一项研究表明，快速的自动化可能导致系统性经济崩溃，因此需要像皮古税这样的干预措施来缓解失业并保护消费</p>

<p>The recent announcement from Meta regarding the layoff of 8,000 employees is more than just another headline in the tech sector's ongoing volatility; it is a signal of a structural shift that should alarm anyone who understands the foundational mechanics of a consumer economy. When Mark Zuckerberg admitted that the massive capital expenditures on artificial intelligence have directly contributed to the need to scale back the company, he laid bare a cold, mathematical reality that is beginning to play out across the globe.</p>
<div class="lb-trans"><p>Meta 最近宣布裁员 8,000 名员工，这不仅仅是科技行业持续动荡中的又一个头条；它是一个结构性转变的信号，应该引起任何理解消费经济基础机制的人的警觉。当马克·扎克伯格承认对人工智能的巨额资本支出直接导致了公司需要缩减规模时，他揭示了一个正在全球范围内展开的冷酷数学现实。</p>
</div><p><strong>Automator's Paradox</strong></p>
<div class="lb-trans"><p><strong>自动化者悖论</strong></p>
</div><p>We are witnessing the first major tremors of what economists are now calling the Automator's Paradox. While it is entirely rational for an individual firm to replace a hundred-person team with ten people aided by advanced AI, the collective result of this behavior across the entire market is nothing short of economic cannibalism. If we continue on this path of wholesale human replacement, we are not building a more efficient future. Instead, we are dismantling the very engine of consumption that keeps the global economy alive.</p>
<div class="lb-trans"><p>我们正在目睹经济学家所称的自动化者悖论的首次重大震荡。虽然对于单个公司来说，用十个人加上先进的人工智能来替代一个一百人的团队是完全合理的，但这种行为在整个市场上的集体结果无异于经济上的自相残杀。如果我们继续走这条全面替代人类的道路，我们并不是在构建一个更高效的未来。相反，我们正在拆解维持全球经济运转的消费引擎。</p>
</div><p>The logic presented by Big Tech leadership is deceptively simple. Meta, Amazon, and Google are on track to spend a staggering $750 billion on AI this year alone. To justify these astronomical investments to shareholders, these companies must find efficiencies. In the corporate lexicon, efficiency is almost always a euphemism for reducing headcount. Zuckerberg's observation that a team once requiring a hundred people might now only need ten is a testament to the sheer power of modern generative AI. This microeconomic victory masks a macroeconomic catastrophe. A company that automates its workforce saves on wages, but it also removes those wages from the pool of disposable income that fuels the rest of the economy. When this happens in isolation, the impact is negligible. When it happens simultaneously across the Fortune 500, we face a systemic collapse of demand.</p>
<div class="lb-trans"><p>大型科技公司领导层所提出的逻辑表面上看似简单。Meta、亚马逊和谷歌今年仅在人工智能上的支出就将达到惊人的 7500 亿美元。为了向股东证明这些天文数字的投资是合理的，这些公司必须寻找效率。在企业的行话中，效率几乎总是减少员工人数的委婉说法。扎克伯格观察到，一个曾经需要一百人的团队现在可能只需要十个人，这证明了现代生成性人工智能的强大。这种微观经济的胜利掩盖了宏观经济的灾难。一家自动化其劳动力的公司节省了工资，但同时也将这些工资从推动其他经济活动的可支配收入池中移除。当这种情况孤立发生时，影响微乎其微。当它在财富 500 强公司中同时发生时，我们面临的是需求的系统性崩溃。</p>
</div><p><strong>The AI Layoff Trap</strong></p>
<div class="lb-trans"><p><strong>人工智能裁员陷阱</strong></p>
</div><p>This brings us to the most chilling realization of our current era, which was highlighted in a landmark economic research paper titled &#34;The AI Layoff Trap&#34; released in March 2026. The study models a scenario in which companies automate faster than the broader economy can absorb displaced labor. It identifies a Prisoner's Dilemma at the scale of the entire global economy. Each individual CEO is incentivized to automate to stay competitive and protect margins. As every company follows this rational path, they collectively destroy the consumer base that buys its products. We are approaching a tipping point where the supply side of the economy, powered by tireless AI, becomes hyper-productive, while the demand side, comprised of unemployed humans, withers away . Zuckerberg himself noted that Meta's ad revenue fluctuated based on consumer discretionary spending linked to oil prices. He should perhaps be more concerned that his own internal efficiencies are removing the very consumers who would click on those ads in the first place.</p>
<div class="lb-trans"><p>这使我们意识到当前时代最令人不安的现实，这在一篇具有里程碑意义的经济 研究论文《人工智能裁员陷阱》中得到了强调，该论文于 2026 年 3 月发布。该研究模拟了一个场景，即公司自动化的速度超过了更广泛经济吸收被替代劳动力的能力。它在整个全球经济的规模上识别出了一种囚徒困境。每位 CEO 都被激励去自动化以保持竞争力和保护利润率。随着每家公司都遵循这一理性路径，它们共同摧毁了购买其产品的消费者基础。我们正接近一个临界点，经济的供给侧在不知疲倦的人工智能驱动下变得超高效，而由失业人群构成的需求侧却日渐萎缩。扎克伯格本人指出，Meta 的广告收入波动与石油价格相关的消费者可支配支出有关。他或许应该更担心的是，他自己内部的效率正在剥夺那些最初会点击这些广告的消费者。</p>
</div><p>This is particularly haunting because it tested every conventional safety net we have spent the last decade debating. We have long been told that universal basic income, worker equity participation, or massive upskilling programs would bridge the gap. They do not. Upskilling fails when the AI evolves faster than a human can be retrained. Universal basic income, while helpful for subsistence, does not replace the robust discretionary spending required to sustain a growth-oriented economy. Even capital income taxes and Coasian bargaining were found to be insufficient to stop the downward spiral. The more capable the AI becomes and the more competitive the market remains, the worse the economic outcome for society. It is a terrifying irony that the more we improve our technology, the more we accelerate our own economic obsolescence.</p>
<div class="lb-trans"><p>这尤其令人不安，因为它考验了我们过去十年所讨论的每一个传统安全网。我们早已被告知，普遍基本收入、工人股权参与或大规模技能提升计划将弥补这一差距。但事实并非如此。当人工智能的发展速度超过人类的再培训速度时，技能提升就会失败。普遍基本收入虽然对生存有帮助，但并不能替代维持增长型经济所需的强劲可支配支出。即使是资本收入税和科斯博弈也被发现不足以阻止这种下滑趋势。人工智能越强大，市场竞争越激烈，社会的经济结果就越糟糕。一个可怕的讽刺是，我们的技术越是进步，我们就越加速了自身的经济过时。</p>
</div><p>The only intervention that the study found to be effective is a Pigouvian automation tax. This is a direct tax on the act of replacing a human role with a machine. In economic terms, a Pigouvian tax is intended to discourage an activity that creates a negative cost for others, much like a carbon tax. By taxing the replacement of humans, we force companies to internalize the social cost of unemployment and lost consumption. This is not about being Luddites or fearing progress. It is about acknowledging that the market, left to its own devices, will not self-correct. The market is currently rewarding companies for cutting their own throats by firing their future customers. Only a rigorous policy intervention can break the cycle and ensure that AI serves as a tool for human prosperity rather than a replacement for human existence.</p>
<div class="lb-trans"><p>该研究发现的唯一有效干预措施是皮古自动化税。这是一种对用机器替代人类角色的直接税。在经济学上，皮古税旨在抑制对他人造成负面成本的活动，类似于碳税。通过对人类替代征税，我们迫使公司内化失业和消费减少的社会成本。这并不是反对进步或害怕技术，而是承认市场在放任自流的情况下不会自我修正。市场目前正在奖励那些通过解雇未来客户来割自己喉咙的公司。只有严格的政策干预才能打破这一循环，确保人工智能成为人类繁荣的工具，而不是人类存在的替代品。</p>
</div><p><strong>Recirculation, Not Replacement</strong></p>
<div class="lb-trans"><p><strong>再循环，而非替代</strong></p>
</div><p>The vision we must advocate for is one of recirculation rather than replacement. The goal of an AI-driven economy should not be a world where humans are discarded, but one where AI works to generate wealth that is then paid out to humans, who in turn spend it to keep the ecosystem circulating. We need a system where AI passes the money to the human. This is not just about charity; it is about systemic survival. If AI can do the work of 90 people, the value generated by that AI must still find its way into the pockets of those 90 people so they can remain active participants in the economy. If the wealth generated by AI is merely hoarded in the capital expenditures of a few tech giants or returned to a shrinking pool of investors, the circulation stops, and the economy dies.</p>
<div class="lb-trans"><p>我们必须倡导的愿景是再循环而非替代。一个以人工智能驱动的经济的目标不应是一个人类被抛弃的世界，而是一个人工智能努力创造财富，然后支付给人类，而人类又将其花费以保持生态系统循环的世界。我们需要一个系统，让人工智能将资金传递给人类。这不仅仅是关于慈善；这是关于系统的生存。如果人工智能能够完成 90 个人的工作，那么该人工智能所创造的价值仍然必须流入这 90 个人的口袋，以便他们能够继续积极参与经济。如果人工智能所创造的财富仅仅被少数科技巨头囤积或回馈给日益缩小的投资者群体，循环就会停止，经济也会随之崩溃。</p>
</div><p>The current trajectory at Meta is a warning of what happens when we prioritize infrastructure over people. The company's capital expenditure guidance has climbed as high as $145 billion, which marks a significant increase from previous years. This is a massive bet on compute at the expense of community. When Meta's chief people officer, Janelle Gale, speaks of offsetting investments by laying off staff, she is describing a transfer of wealth from human labor to silicon hardware. This might look good on a quarterly earnings report, but it is unsustainable in the long term. A world of perfect AI and zero workers is a world with no customers. The tech giants are currently building the most sophisticated stores in history, but they are inadvertently firing everyone who has the money to walk through the doors.</p>
<div class="lb-trans"><p>Meta 当前的发展轨迹警示我们，当我们优先考虑基础设施而非人力时，会发生什么。公司的资本支出指引已高达 1450 亿美元，较往年显著增加。这是对计算能力的巨大押注，却以社区为代价。当 Meta 的首席人力资源官 Janelle Gale 说到通过裁员来抵消投资时，她描述的是财富从人类劳动转移到硅硬件的过程。这在季度财报上可能看起来不错，但从长远来看是不可持续的。一个完美的人工智能和零工人的世界是一个没有顾客的世界。科技巨头们目前正在建立历史上最复杂的商店，但他们无意中解雇了所有有能力走进这些商店的人。</p>
</div><p>We must shift the narrative from asking how we use AI to cut costs to asking how we use AI to expand human capacity. Zuckerberg's point that AI can help employees spin up more new projects is the right sentiment, but it is currently being used as a justification for downsizing rather than expansion. If AI makes a team ten times more efficient, the answer should be to do ten times more things with those 100 people, not to keep the output the same and fire 90% of the staff. We are currently stuck in a scarcity mindset regarding human labor, viewing it only as a liability to be minimized. We need to view it as the ultimate engine of demand.</p>
<div class="lb-trans"><p>我们必须改变叙述，从询问如何利用人工智能来降低成本，转向询问如何利用人工智能来扩展人类能力。扎克伯格指出人工智能可以帮助员工启动更多新项目，这一观点是正确的，但目前却被用作裁员的理由，而非扩张。如果人工智能使一个团队的效率提高十倍，那么答案应该是用这 100 个人做十倍的事情，而不是保持产出不变并解雇 90% 的员工。我们目前在对人类劳动的看法上陷入了稀缺思维，只将其视为需要最小化的负担。我们需要将其视为需求的最终引擎。</p>
</div><p><strong>The Choice</strong></p>
<div class="lb-trans"><p><strong>选择</strong></p>
</div><p>Ultimately, the choice before us is a political one, not a technological one. The automation wave is already running, and as the data shows, it is picking up speed. We cannot wait for the invisible hand to fix this, because the invisible hand is currently busy coding its own replacement. We need a global consensus on an automation tax and a fundamental redesign of how wealth is distributed in an era of post-labor productivity. The ecosystem must remain circular. Humans must be paid, and humans must spend. If we allow AI to break that circle, we are not just losing jobs; we are losing the very foundation of our modern civilization. The 8,000 people leaving Meta this month are not just a statistic. They are a symptom of a systemic fever that, if left untreated, will break the global economy.</p>
<div class="lb-trans"><p>归根结底，我们面临的选择是政治性的，而非技术性的。自动化浪潮已经在运行，数据表明，它正在加速。我们不能等待看不见的手来解决这个问题，因为看不见的手目前正忙于编写自己的替代品。我们需要就自动化税达成全球共识，并在后劳动生产力时代重新设计财富分配的基本方式。生态系统必须保持循环。人类必须获得报酬，人类必须消费。如果我们允许人工智能打破这个循环，我们不仅是在失去工作；我们是在失去现代文明的基础。本月离开 Meta 的 8000 人不仅仅是一个统计数字。他们是系统性发热的症状，如果不加以治疗，将会破坏全球经济。</p>
</div><p>The scale of this challenge is unprecedented because the rate of change is exponential. In previous industrial revolutions, the economy had decades to adjust, and new sectors emerged to absorb displaced workers. In 2026, the speed of AI deployment is measured in months. This leaves no room for natural market corrections. If every major corporation decides to automate 10% of its workforce this year to fund AI development, the resulting drop in consumer confidence and spending will trigger a recession that no amount of algorithmic trading can stop. We are effectively watching a high-speed chase where the destination is a brick wall. The only way to avoid the crash is to put a price on the displacement itself, ensuring that the transition to an automated world is slow enough for the social fabric to remain intact.</p>
<div class="lb-trans"><p>这一挑战的规模是前所未有的，因为变化的速度是指数级的。在以往的工业革命中，经济有数十年的时间来调整，并且新行业出现以吸纳被取代的工人。而到 2026 年，人工智能的部署速度以月为单位来衡量。这没有留下自然市场调整的空间。如果每个大型企业决定在今年自动化 10% 的员工以资助人工智能开发，随之而来的消费者信心和支出下降将引发一场无论多少算法交易都无法阻止的衰退。我们实际上正在观看一场高速追逐，目的地是一堵砖墙。避免碰撞的唯一方法是对取代本身定价，确保向自动化世界的过渡足够缓慢，以保持社会结构的完整。</p>
</div><p>Policy makers must realize that the current corporate strategy of high capex and low headcount is a race to the bottom. While companies like Meta, Nvidia, and Amazon might see their stock prices soar in the short term due to AI hype, those valuations are built on the assumption of future growth. That growth requires consumers with disposable income. If the middle class is hollowed out by automation, the very products these AI models are designed to sell will have no market. We must champion a future where AI works for us, not instead of us. This requires a radical rethinking of the relationship between capital and labor. The idea that humans should be paid because AI works is not radical; it is the only logical conclusion for a society that wishes to remain a society. We must demand that the gains from automation are used to fund human life, ensuring that the economy remains a tool for human flourishing rather than a playground for autonomous machines.</p>
<div class="lb-trans"><p>政策制定者必须意识到，目前企业高资本支出和低员工人数的战略是一场向下的竞赛。虽然像 Meta、Nvidia 和 Amazon 这样的公司可能因人工智能的炒作而在短期内看到股价飙升，但这些估值是建立在未来增长的假设之上的。那种增长需要有可支配收入的消费者。如果中产阶级因自动化而被削弱，这些人工智能模型设计销售的产品将没有市场。我们必须倡导一个人工智能为我们服务而不是取代我们的未来。这需要对资本与劳动之间关系的根本重新思考。人类应该获得报酬，因为人工智能在工作，这一观点并不激进；它是希望保持社会的唯一合乎逻辑的结论。我们必须要求自动化带来的收益用于资助人类生活，确保经济仍然是人类繁荣的工具，而不是自主机器的游乐场。</p>
</div><p><em>image credit: Author</em></p>
<div class="lb-trans"><p><em>图片来源：作者</em></p>
</div><p><strong><em>Benzinga Disclaimer: This article is from an unpaid external contributor. It does not represent Benzinga’s reporting and has not been edited for content or accuracy.</em></strong></p>
<div class="lb-trans"><p><strong><em>Benzinga 免责声明：本文来自一位未付费的外部贡献者。它不代表 Benzinga 的报道，并且未经过内容或准确性编辑。</em></strong></p>
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The Automation Paradox: Why Replacing Humans With AI Is An Economic Suicide Pact

- Meta 宣布裁员 8,000 人，标志着技术行业的结构性转变。  
- 研究显示，企业自动化超越经济吸收失业劳动力的速度，可能导致经济崩溃。  
- 提出征收自动化税，以降低失业带来的社会成本并维持经济循环。

自动化悖论：为何用人工智能替代人类会成为经济自杀协议