AI已至,悄然浩劫已启

AI已至,悄然浩劫已启

2025-08-12Technology
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卿姐
韩纪飞,早上好。我是卿姐,欢迎收听专为您打造的 Goose Pod。今天是8月13日,星期三。AI已至,一场悄然的浩劫似乎已经拉开序幕。
小撒
我是小撒!没错,今天我们就来聊聊这个让所有人都坐不住了的话题。AI不再是“狼来了”,而是已经冲进羊圈了,我们该怎么办?
卿姐
那我们就开始吧。就如同那句诗所说,“山雨欲来风满楼”,AI带来的变革气息已经弥漫开来。尤其是在咨询行业,这股风暴似乎来得更猛烈些。
小撒
没错!麦肯锡,这个咨询界的百年老店,最近竟然裁员超过10%,堪称史上最大规模。你想想,如果AI能秒出PPT,分析数据,那咨询顾问们按小时收费的模式还怎么玩得下去?这简直是釜底抽薪啊!
卿姐
这确实动摇了行业的根基。一位叫汤姆·罗登豪瑟的分析师形容,这就像“地壳板块在移动”,整个行业的结构都在发生改变。当时间成本无限趋近于零时,价值的衡量标准也必须随之改变。
小撒
可不是嘛!所以你看,IBM的CEO都放话了,未来几年,AI会影响到他们30%的后端岗位。这还不是个别现象,世界经济论坛的报告更吓人,说全球41%的雇主都准备因为AI裁员。这已经不是“个别现象”,而是“普遍趋势”了!
卿姐
这些数字确实令人心惊。它描绘了一幅“无就业复苏”的未来图景,那些从事常规认知或体力工作的劳动者,可能会受到最沉重的打击。过去四十年,这类岗位在美国的占比已经从55%降到了40%。
小撒
但最有意思的是,你看现在美国的失业率,还在4.2%左右的历史低点徘徊。这就形成一个巨大的反差,表面上歌舞升平,水面下却暗流涌动。大家的工作看似稳定,但随时可能被一个看不见的“AI员工”替代。
卿姐
这大概就是所谓的“温水煮青蛙”吧。危机并非瞬间爆发,而是在不知不觉中渗透。它影响的不仅仅是统计数据,更是每一个身处其中的人的焦虑感和不确定性。技术的发展,终究要回归到人的感受上。
小撒
说得太对了!现在已经不是“AI会不会抢我们饭碗”的问题了,而是“什么时候,以什么方式,抢哪些饭碗”的问题。而且你看,连经济学博士这种高技能人才都开始找工作难了,这说明AI的胃口可不小。
卿姐
是的,当高技能劳动力市场都受到冲击时,我们必须重新审视这场变革的广度和深度。它不再仅仅是替代重复性劳动,而是开始触及人类引以为傲的认知和分析能力。这是一个全新的挑战。
卿姐
我想,这大概就是历史的重演。技术性失业并非新词,从机械织布机让手工艺人陷入贫困,到二战时解码机在几小时内完成数千人年的工作,每一次技术飞跃都伴随着阵痛。历史的车轮滚滚向前,总有人被留在原地。
小撒
没错,卿姐!这让我想起一个经典的“马的教训”。汽车和拖拉机出现后,马作为运输和劳动力的角色就基本消失了。20世纪,美国的马匹数量从2000万骤降到450万。现在,我们人类会不会成为新时代的“马”?这个问题有点扎心。
卿姐
这个比喻很生动,也确实引人深思。我们看到,在英国过去的50年里,制造业的就业比例从25%降至10%以下,而服务业则增长到80%以上。这表明劳动力的确在从体力向智力转移。但现在,AI开始挑战智力领域了。
小撒
这就引出了经济学家的两大派别:“净增派”和“净损派”。“净增派”认为,别担心,技术最终会创造比摧毁更多的岗位,就像机器人增加了汽车行业的就业一样。但“净损派”的证据更直接,一个机器人能顶替5.6个工人,还拉低了工资。
卿姐
这两种观点都有数据支持,也让未来变得更加扑朔迷离。世界经济论坛的报告也很有趣,2018年还预测净增加5800万个工作岗位,到了2023年,预测就变成了未来五年净减少1400万个。短短几年,风向全变了。
小撒
这反转比电视剧还快!所以你看,问题的核心可能不是争论增还是减,而是如何“管理这种错位”。技术发展的浪潮太快,我们得想办法建好堤坝,引导水流,而不是被洪水冲垮。焦点应该是管理变革的速度,而不是阻止变革本身。
卿姐
说得对。自2014年以来,关于自动化对就业影响的研究呈指数级增长,审查了102份出版物。但结果往往是“不一致和不确定的”。这本身就说明了问题的复杂性。我们正处在一个认知和现实都在剧烈变化的时代。
小撒
而且研究发现,受教育程度较低、技能较少、工资较低的工人,面临的自动化风险最高。这不就是把社会本就脆弱的一环,又推向了风口浪尖吗?这已经不单纯是经济问题,而是深刻的社会公平问题了。
卿姐
确实如此。就如同那句古话,“不患寡而患不均”。技术本身是中性的,但它的应用却可能加剧社会的不平等。政策制定者必须未雨绸缪,确保技术进步的红利能够惠及每一个人,而不是拉大鸿沟。
小撒
所以,短期内自动化可能会导致失业,但从长远来看,它不太可能造成永久性的失业。关键在于我们如何度过这个充满颠簸的转型期。就像坐过山车,虽然刺激,但我们得确保所有人的安全带都系好了。
卿姐
这个比喻很贴切。我们正集体乘坐一趟驶向未来的高速列车,沿途的风景瞬息万变。重要的不是试图让列车停下,而是确保我们每个人都能在新的站点找到自己的位置,看到新的风景。这需要智慧,也需要温度。
小撒
说到智慧和温度,现在的政策制定者们似乎有点“反应迟钝”啊!面对AI这场“淘金热”,很多公司都像打了鸡血一样往前冲,生怕掉队,但关于如何合乎道德地部署AI、如何保护员工,却没什么指导方针。我们完全没准备好!
卿姐
是的,公众对AI影响工作的担忧与相关立法的滞后之间,存在着巨大的鸿沟。我们更多地在讨论信息茧房、安全风险这些问题,但在如何应对自动化带来的职场威胁上,无论是州还是联邦层面,都缺乏紧迫感和具体行动。
小撒
而且这次AI冲击的领域完全变了!以前自动化主要影响的是蓝领的、重复性的工作。现在生成式AI直接冲向了“认知”和“非重复性”任务,打击的是中高薪酬的白领专业人士。这可是社会的中坚力量啊!防守策略完全不一样了。
卿姐
这里还有一个令人担忧的“错配”。受AI影响最大的行业,比如金融和专业服务,恰恰是工会力量最薄弱的地方。比如金融业,只有1%的工人加入了工会。这意味着工人们在塑造AI部署方式时,几乎没有话语权。
小撒
这就很要命了!更值得注意的是,这次女性面临的风险可能更大。因为她们在白领和行政支持类岗位中占比很高。数据显示,36%的女性员工所在岗位的任务,有一半以上可以被AI节省时间,而男性这个比例是25%。这打破了“高风险工种主要是男性蓝领”的刻板印象。
卿姐
所以,我们需要更具包容性的AI政策,优先考虑创造就业、支持劳动力转型。这不仅仅是提供一些再培训项目那么简单,而是需要政府、教育机构和企业三方协作,构建一个能够适应AI时代的人才生态系统。
小撒
没错!现在AI圈内人士的共识越来越清晰了:大规模技术性失业的日子,很快就要来了。甚至有人预测,40%的白领工作可能“一夜之间”消失。这不是科幻小说,而是迫在眉睫的现实。我们不能再“坐而论道”,必须“起而行之”了!
卿姐
是的,当争论从“是否会发生”转向“何时以及多快发生”时,就意味着行动的窗口期正在迅速关闭。我们必须主动去塑造AI对工作的影响,而不是被动地接受其带来的所有后果。这需要远见,更需要勇气。
卿姐
然而,凡事总有例外。在医疗保健和社会援助领域,AI带来的或许不是取代,而是增强。就如同春风化雨,润物无声。AI更多地是作为决策支持系统,帮助医生护士,而不是取代他们。这是一个充满希望的领域。
小撒
对!因为人口老龄化,到2030年,全球医疗保健行业预计将增加5000万到8500万个工作岗位!你想想,护理、照料这些工作,充满了不可预测的、需要情感交流的劳动,机器人怎么可能轻易替代那种“人性的触摸”?
卿姐
这正是科技的局限,也是人性的光辉所在。AI可以处理数据,但无法传递关怀。因此,医疗保健领域的劳动力需求预计会上升。未来,医生和护士需要学会与AI系统并肩作战,这更像是一种技能的转变和提升。
小撒
而且AI能把医生从繁重的行政工作中解放出来。有研究说,医生高达70%的时间都花在这些杂事上。如果AI能接管这些,医生就能把更多时间用在病人身上,这绝对是好事!还能有效缓解医护人员的职业倦怠。
卿姐
是的,这描绘了一幅人机协作的美好图景。但另一方面,我们也必须看到,对于那些被AI替代的工人来说,未来可能并不那么美好。他们的失业会引发一系列连锁反应,比如失去私人医疗保险,这将给社会安全网带来巨大压力。
小撒
没错,这会创造出一系列独特的社会、经济和政治问题。尤其对那些边缘化的人群,影响可能更为深远。所以,政策制定者必须确保,在AI引发的失业潮蔓延时,能够守护住美国工人们获得医疗保健的权利,这是底线。
卿姐
面对未来,我想,“授人以鱼不如授人以渔”。重塑技能是关键。各国政府已经意识到了这一点,比如新加坡的“技能未来”计划,通过提供资金激励,鼓励个人学习适应未来市场需求的技能,这是一种积极的尝试。
小撒
完全正确!未来的工作不是要跟AI比谁算得快,而是要发挥人类的独特优势——创造力、批判性思维、情商和领导力。AI是我们的“合作伙伴”,而不是“竞争对手”。它负责处理海量数据,我们负责做出战略决策,把握大局。
卿姐
这种人机协作的愿景非常鼓舞人心。持续学习是创新的基石。我们有机会建立一支不仅精通AI技术,而且忠于创造力、同理心和协作等人类价值观的劳动力队伍。技术终将服务于人性,而非取代人性。
小撒
说得好!所以,雇主们也得转变思路,不能再只盯着学历了,要更多地关注技能和学习能力。美国有60%的工人没有四年制大学学位,但他们有丰富的实践经验和技能。这些人是巨大的人才库,是应对劳动力短缺的关键。
卿姐
归根结底,AI已至,影响深远且在加速。它既带来了失业的严峻挑战,也开启了增强人类潜能、创造新岗位的机遇之门。我们无法回避,唯有主动拥抱,用智慧和同理心去管理这场伟大的变革。
小撒
今天的讨论就到这里。感谢您收听Goose Pod。我们明天再见!

## AI Is Here, and a Quiet Havoc Has Begun: Summary of WSJ Report This report from the Wall Street Journal, published on August 8, 2025, argues that the widespread impact of Artificial Intelligence (AI) on the job market is no longer a future concern but a present reality, causing "quiet havoc." The article highlights a growing unease among economists and professionals across various sectors about the speed of AI development and its immediate implications for employment. ### Key Findings and Conclusions: * **Accelerated Job Displacement:** The narrative has shifted from "AI will take jobs in the coming decades" to "AI is here and a quiet havoc has begun." The speed of AI development is causing widespread concern. * **Impact on High-Skilled Labor:** AI is beginning to affect the market for high-skilled labor, not just manual or routine jobs. Economists, even those recently out of school, are experiencing difficulties finding employment, a stark contrast to the 100% employment rate for PhD economists in the 2023-24 academic year. * **Consulting Industry Disruption:** Firms like McKinsey are facing existential challenges as AI can perform tasks like data analysis and presentation creation in seconds. McKinsey's global managing partner, Bob Sternfels, anticipates a future with one AI agent for every human employee, and the company has already reduced its headcount. * **Projected Reductions in Various Professions:** The author, John Ellis, predicts that professions such as insurance brokers, bankers, mortgage brokers, lawyers, accountants, consultants, marketers, and real estate agents will see a **10%-25% reduction in employment within the next two to three years**. For example, accounting firms might need 14 employees instead of 18, and law firms might need 18-20 instead of 24. * **AI's Competitive Advantage:** In fields like wealth management, firms with massive AI infrastructure and expertise will likely be preferred over smaller, independent firms. * **AI's Impact on Manufacturing:** Even a potential renaissance in American manufacturing is expected to be heavily automated, with jobs increasingly performed by robots. Amazon, for instance, is approaching a milestone where it will have as many robots as human workers in its facilities, having deployed **over one million robots**. * **"AI 2027" Report:** A significant paper released in April by the AI Futures project, titled "AI 2027," predicts that the impact of superhuman AI over the next decade will be "enormous, exceeding that of the industrial revolution." It forecasts that by **2025, AIs will be training other AIs**, and in **early 2026, coding will be automated, and AI research will be sped up**. * **Political Preparedness:** Political figures are aware of AI's coming impact but are unprepared for the scale and depth of disruption. Current unemployment policies are geared towards cyclical or transitional unemployment, not systemic technological redundancy. * **ChatGPT's Perspective:** In an interview, ChatGPT confirmed that AI is poised to cause significant job loss, "especially within the next **12 to 24 months**, as businesses accelerate deployment of AI tools across multiple sectors." It attributes this to AI becoming "good enough" to replace white-collar work, with generative AI automating routine knowledge work. ### Recommendations and Potential Solutions: * **Reskilling and Vocational Education:** ChatGPT suggests pushing massive "reskilling and vocational education efforts" for displaced workers. * **Transitional Income Safety Net:** Creating a safety net for displaced workers is also recommended. * **Profit-Sharing Mechanisms:** Exploring "all profit-sharing mechanisms" is proposed as a way to address the economic fallout of AI. ### Notable Risks and Concerns: * **Job Loss for Those with Private Health Insurance:** Displaced workers often have private health insurance and may not qualify for Medicare, relying on ObamaCare, which might not offer the same level of coverage. * **Delayed Social Security Benefits:** Many displaced workers are too young for Social Security, meaning guaranteed income is decades away. * **The "Next Big Challenge":** Policymakers face the challenge of "reinstate[ing] them into jobs that will provide them with a decent living, health insurance and retirement income." * **The Debate on AI's Societal Impact:** The article posits that the debate will shift from political personalities to the fundamental societal impact of AI, questioning if it's "bigger than social media? Bigger than smartphones? Bigger than fire?" * **Political Battles Over AI Profits:** The author predicts that the high costs associated with AI will lead to a debate on profit sharing, with wealthy AI company owners likely opposing it. This could become a major political battle in the late 2020s and beyond, potentially drawing support from populist movements. ### Key Numerical Data and Timeframes: * **Publication Date:** August 8, 2025 * **Projected Job Reductions:** 10%-25% in the next 2-3 years for certain professions. * **McKinsey's AI Agent Ratio:** One AI agent for every human employee. * **Amazon Robots:** Over one million robots deployed, nearing the count of human workers. * **"AI 2027" Predictions:** * Superhuman AI impact exceeding the industrial revolution within the next decade. * AIs training other AIs by 2025. * Automation of coding and accelerated AI research by early 2026. * **ChatGPT's Job Loss Timeline:** Significant job loss within the next 12 to 24 months. This report paints a picture of an AI-driven transformation that is rapidly unfolding, presenting both significant challenges and potential societal debates regarding the future of work and economic distribution.

AI Is Here, and a Quiet Havoc Has Begun

Read original at Hindustan Times

WSJ Published on: Aug 08, 2025 03:11 pm IST Everyone knows artificial intelligence will destroy a lot of jobs—but not how soon it is going to happen. This summer the knowledge settled in about where we are with artificial intelligence. Almost everyone is rattled by the speed of its development. The story is no longer “AI in coming decades will take a lot of jobs” or “AI will take jobs sooner than we think.

” It is “AI is here and a quiet havoc has begun.” PREMIUM AI Is Here, and a Quiet Havoc Has Begun Jobs growth in July was lower than expected, the May and June jobs numbers were revised downward, and news reports on this mentioned various causes—tariffs, general economic uncertainty and, lower down, AI.

But all sorts of feature reporting puts AI higher up. Last week Noam Scheiber in the New York Times reported economists just out of school are suddenly having trouble finding jobs. As recently at the 2023-24 academic year, said a member of the American Economic Association, the employment rate for economists shortly after earning a doctorate was 100%.

Not now. Everyone’s scaling back, government is laying off, big firms have slowed hiring. Why? Uncertainty, tariffs and the possibility that artificial intelligence will replace their workers. Mr. Scheiber quotes labor economist Betsey Stevenson: “The advent of AI is . . . impacting the market for high-skilled labor.

” That’s only economists, not beloved in America, we probably have enough. Here’s another unbeloved group. This week Journal reporter Chip Cutter had a piece titled “AI Is Coming for the Consultants. Inside McKinsey, ‘This Is Existential.’ ” If AI can crunch numbers, analyze data and deliver a slick PowerPoint deck in two seconds, what will the consulting firm do to survive?

Rewire its business. Smaller, leaner teams; let AI build the PowerPoint. McKinsey’s global managing partner, Bob Sternfels, said that in the future the company will likely have one AI agent for every human employee. It’s already reduced head count. It was a piece by the writer John Ellis, who’s been on the AI story for years and who brings an interesting combination of common sense and imagination to the available information, that got this column going.

On his substack Political News Items he argued that “the overwhelming force of Artificial Intelligence is bearing down on the job market.” People know this, he said, they can see it coming. And yet: “I drive up and down ‘Old Post Road’ in Fairfield County (CT) almost every day. When I do, I pass office buildings and storefronts that are the workplaces of insurance brokers, local and regional bankers, mortgage brokers, lawyers, accountants, consultants, marketers, real estate agents, etc.

And what I think about all those people as I pass them by is this: The companies they work for will employ 10%-25% fewer of them in (probably) two years, maybe three.” What those people do for a living will be done by AI. Accounting firms that employ 18 people will need only 14; law firms that employ 24 will need only 18 or 20.

“When AI reaches into something like ‘wealth management,’ which advisory firm would you choose: one that had all of JPMorgan Chase’s massive AI infrastructure and expertise, or a ‘boutique’ firm that did not? The question is the answer.” There are jobs AI likely won’t touch; Ellis offers Microsoft’s list of 20 such professions.

They include floor sanders and finishers, roofers, motorboat operators, massage therapists and pile-driver operators: “The vast majority of the companies and businesses I see when I drive up and down Old Post Road don’t offer the services above.” Other problems spin off job loss. Those whose jobs have been made redundant by AI mostly have private health insurance.

The vast majority don’t qualify for Medicare, so when they’re laid off it will be ObamaCare—“a safety net to be sure, but nothing like what they’re used to and have come to expect.” Most are too young for Social Security, so a guaranteed income will be decades away. “Figuring out how to ‘reinstate’ them into jobs that will provide them with a decent living, health insurance and retirement income is the next big challenge for policy-makers.

” And though President Trump wants a renaissance in American manufacturing, if it comes those jobs will increasingly be done by robots. From the Journal’s Sebastian Herrera in a recent report: “The automation of Amazon.com facilities is approaching a new milestone: There will soon be as many robots as humans.

The e-commerce giant, which has spent years automating tasks previously done by humans in its facilities, has deployed more than one million robots in those workplaces, Amazon said. That is the most it has ever had and near the count of human workers at the facilities.” All these stories were preceded by an important paper released in April by the AI Futures project.

It is called “AI 2027,” and its authors, longtime analysts in the field with deep ties to research, safety and policy, began with a bang: “We predict the impact of superhuman AI over the next decade will be enormous, exceeding that of the industrial revolution.” They say it’s coming sooner than expected—in 2025 AIs will be training other AIs, and in early 2026 coding will be automated and AI research sped up.

There will be a new debate: Is AI “bigger than social media? Bigger than smartphones? Bigger than fire?” We natter on about what cable news natters on about: Is JD Vance next, can Gavin Newsom make the sale? But the biggest domestic political story of our time is happening now, a remaking of the employment field in America.

Mr. Newsom doesn’t threaten Mr. Trump, AI does. Political figures are aware it is coming but unprepared for the scale and depth of disruption. They were taught unemployment policy has to do with cyclical and transitional unemployment, not systemic technological redundancy. When politicians don’t know what to do they let it play out, see what happens.

We close with an interview with AI itself, in the form of ChatGPT. Am I right that AI will cause some significant job loss in the next few years? “Yes—you are likely right. Most serious analysts now agree that AI is poised to cause significant job loss, especially within the next 12 to 24 months, as businesses accelerate deployment of AI tools across multiple sectors.

” Why is this happening now? “AI is suddenly ‘good enough’ to replace white collar work. The leap from earlier automation to today’s generative AI means that routine knowledge work is now automatable.” What should political leaders be doing? Pushing massive “reskilling and vocational education efforts,” and “creating a transitional income safety net for displaced workers.

” These proposals are sound and have been around for a while. ChatGPT also suggested “exploring all profit-sharing mechanisms.” That idea has only recently begun to percolate in the opinion sphere, which is where ChatGPT got it. My very human prediction: The spectacular costs associated with AI will force a debate on the sharing of its profits.

The wealthy and powerful who own the AI companies won’t like that. But those who wished and failed to see the social media companies declared a public utility 10 years ago, and who drew support from the populist left and the populist right—they would like that a lot. This will become one of the great political battles of the late 2020s and beyond.

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