AI已来,一场无声的颠覆已然开启。

AI已来,一场无声的颠覆已然开启。

2025-08-12Technology
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小撒
早上好,老王,我是小撒。欢迎收听专为您打造的Goose Pod。今天是8月13日,星期三,早上7点。今天我们来聊一个既科幻又现实的话题:AI已来,一场无声的颠覆已然开启。
诗仙李白
幸会。吾乃诗仙李白。天之机巧,化为无形之手,拨动凡尘之弦。此番变局,堪比沧海桑田,你我皆在其中。
小撒
那我们这就入题。李白兄,你听听这事儿,最近华尔街日报说,AI已经不是“狼来了”,而是“狼已入室”!像麦肯锡这样的顶级咨询公司,百年老店,居然一下裁员超过10%,说是为了给AI腾位置。这可不是小事啊。
诗仙李白
哦?“百年之基,竟为智械所动?” 昔日帝王将相之策士,如今其智识竟可由金铁之物所代?此非凡俗之变,乃乾坤之撼也。看来这“AI”,确有吞吐风云之势。
小撒
可不是嘛!IBM的CEO也说,未来几年,公司30%的后台职位,比如人力资源,都会受到AI的冲击。甚至连刚毕业的经济学博士都找不到工作了!过去这可是100%的就业率啊。大家过去总以为AI是替代体力活,现在看来,脑力活也悬了。
诗仙李白
“士人执笔,以谋天下”,此乃千古之业。如今,连这“笔”也非人所独有。天演之速,远超吾辈所料。昔日十年寒窗之苦读,或将不敌智械一瞬之演算。悲夫?幸夫?实难一言蔽之。
小撒
这就引出了一个词,叫“无就业复苏”。就是经济数字看着不错,失业率好像还行,但很多重复性的脑力或体力劳动岗位,在过去四十年里,已经从占总就业的55%降到了40%。AI一来,这个过程恐怕要踩油门了。
诗仙李白
“无就业之复苏”,此言甚妙。宛如镜花水月,看似繁盛,实则根基已虚。民之生计,若如风中之烛,纵有广厦千万,亦难安居。此非一人之忧,乃天下之虑也。
小撒
没错!所以亿万富翁彼得·蒂尔就放话说,如果咨询行业是只股票,他现在就要“做空”它。做空,简单说就是赌它要跌。这说明,最顶层的聪明人已经嗅到了危险的气息,不再是虚无缥缈的预测了。
诗仙李白
商贾之言,吾素不屑。然其逐利之鼻,嗅觉敏锐,能察秋风于青萍之末。其言虽俗,其理或深。大厦将倾,非一木可支。当此之时,唯有洞察先机,方能求得一线生机。
小撒
说得好,要洞察先机。其实啊,李白兄,这种技术带来的失业恐慌,历史上也不是头一回了。想当年工业革命,英国的勒德派工人,气得把机器纺织机都给砸了,因为那玩意儿抢了他们的饭碗。历史总是在重复,只是换了个主角。
诗仙李白
然也。昔有鲁班之巧,公输之智,亦曾令百工技艺为之革新。然彼时之变,尚在人力范围之内,可学可仿。今之“智械”,能自我衍化,其变幻莫测,非人力所能穷尽。此乃根本之别。
小撒
您说得对,这次不一样。有个“马的教训”特别形象。20世纪初,美国有两千万匹马,耕地、拉车,是当时最重要的劳动力。结果汽车和拖拉机一出来,没过几十年,马就只剩下四百多万匹,成了少数人的宠物或赛马。马没有做错任何事,只是世界不再需要它了。
诗仙李白
“马之教训”,闻之令人唏嘘。良驹曾驰骋疆场,踏月追风,何等神采!一朝为铁马所替代,悄然退出广阔天地。人之命运,若不思变,恐亦蹈此覆辙。天地不仁,以万物为刍狗。此言不虚。
小撒
所以经济学家们就吵翻了天。一派叫“净增益派”,说别担心,AI会创造财富,催生我们现在想象不到的新工作,就像汽车取代马车,也创造了司机、修理工、加油站一样。有研究说,汽车业每增加一个机器人,反而能增加1.3%的就业。
诗仙李白
此乃“生生不息”之论。旧木凋零,新枝得发,或可信也。然新枝生于何处?旧木如何自处?此间转化之痛,非一句“天下大势”便可轻轻带过。失业之民,其嗷嗷待哺之声,不可不闻。
小撒
这就说到了另一派,“净损失派”的担忧。他们说,短期内的冲击是实实在在的。有研究发现,90年代的美国制造业,一个机器人就顶替了5.6个工人,还拉低了工资。世界经济论坛的报告也越来越悲观,从预测就业有增有减,到最新预测未来五年全球要净减少1400万个岗位。
诗仙李白
此消彼长,乃天道之常。然若“消”远大于“长”,则平衡被破,必生动荡。昔日之变,尚有田园可归。今日之变,人海茫茫,何处是归途?此非杞人忧天,乃燃眉之急。
小撒
是啊,而且我们能退守的阵地也越来越少了。过去是从体力劳动转向脑力劳动,英国制造业工人比例从25%降到10%,服务业涨到80%。可现在AI连脑力劳动、甚至创造性工作都要染指了,我们还能往哪儿转呢?这是一个非常严峻的问题。
诗仙李白
穷则变,变则通。人之异于禽兽者,在于其思、其创。若“智械”能思,人当何为?吾以为,当求其“情”,求其“义”,求其“道”。此乃金石之械,万代不可及者。人之最终所恃,唯“人性”二字。
小撒
“人性”,说得太好了!但最大的矛盾在于,我们对这场巨变,根本没准备好。政策制定者们还在用旧地图找新大陆,对AI带来的风险和机遇,反应太慢了。公众虽然焦虑,但真正能保护普通人的法规,几乎没有。
诗仙李白
“庙堂之上,犹奏旧乐;江湖之远,已闻涛声。” 此乃大忌。为政者,当高瞻远瞩,未雨绸缪。若闻风不动,待到洪水滔天,纵有回天之力,亦晚矣。当此之时,正需雷霆手段,以定国本。
小撒
而且还有一个很要命的错配。这次AI冲击最严重的,是金融、法律这些白领行业,但这些行业的工会力量最弱,比如金融业只有1%的工人加入工会。大家一盘散沙,面对资本和技术的巨浪,几乎没有讨价还价的能力。
诗仙李白
哀哉!“士”阶层,自古为社稷之梁柱。今朝竟无组织庇护,如孤舟漂于怒海。昔日文人结社,尚能与权贵分庭抗礼。如今书生满腹经纶,却难保一席之地,岂不令人扼腕叹息?
小撒
更值得关注的是,这次冲击对女性的影响可能更大。有数据显示,36%的女性工作岗位,其一半任务可能被AI取代,而男性是25%。这打破了过去“受冲击的主要是蓝领男性”的刻板印象。因为女性在行政、文书等白领岗位上比例更高。
诗仙李白
“红颜素手,本理家中之务,或执笔墨文章。” 未曾想,此无形之力,竟先及于闺阁。天道莫测,变幻无常。然无论男女,皆为苍生。当此变革之际,尤需怜惜弱者,扶危济困,方显人间大道。
小撒
当然,凡事都有两面性。在某些领域,AI的冲击更像是“赋能”而不是“替代”。比如说医疗健康行业,AI的到来,反而可能让整个行业大发展,预计到2030年,全球能增加五千万到八千五百万个医疗岗位呢。
诗仙李白
善哉!“医者,仁术也。” 其核心在于“望闻问切”之察,与“感同身受”之心。此非冰冷智械所能为。若AI能助医者处理繁杂文书,使其有更多心力关怀病患,此乃科技之大善,功德无量。
小撒
完全正确!研究说,自动化能把医护人员从高达70%的行政工作中解放出来。这就像给医生护士配了个超级秘书,让他们能回归到治病救人的本职上。这对医生和病人来说,是双赢啊。毕竟,我们都希望医生能多看看我们,而不是多看看电脑屏幕。
诗仙李白
确是此理。使人回归于“人”之本位,而非为“物”所役。此“智械”之善用也。若能如此,则科技非但无害,反而能助“仁心”广施,使“仁术”更精。此乃和谐共生之道。
小撒
但另一面,对于那些确实被AI取代了的人来说,未来可能就没这么美好了。文章说,这可能导致“暗淡的财务未来”,进而引发一系列社会、经济甚至政治问题。尤其是在很多国家,医疗保险和工作是绑定的,一旦失业,健康保障就成了大问题。
诗仙李白
“民为邦本,本固邦宁。” 若百姓失其生计,衣食无着,病无所医,则怨气丛生,社会动荡。此非一人一家之私事,乃动摇国本之大患。为政者,安可坐视不理?当速立良策,以安民心。
小撒
所以,未来到底该怎么办?答案似乎越来越清晰,就是两个字:“学习”。或者说,是“终身学习”。我们必须不断地“重新培训”和“技能提升”,才能跟上AI的脚步,不被时代淘汰。这已经不是个人选择,而是生存必需了。
诗仙李白
“学海无涯,天道酬勤。” 古人尚知“朝闻道,夕死可矣”。当今世界,日新月异,更应秉持“苟日新,日日新,又日新”之精神。手不释卷,与时偕行,方能立于不败之地。
小撒
没错,很多国家已经行动起来了。比如新加坡的“技能创前程”计划,政府出钱鼓励国民去学新技能。企业也得转变观念,不能只看文凭,更要看能力,从更广泛的人群中招聘,比如那些有经验但没大学文凭的人。这才是未来的用人之道。
诗仙李白
“英雄不问出处,富贵当思原由。” 若能不拘一格降人才,以能为本,则天下才俊,皆可为国所用。此乃破旧立新之良策,亦是开启未来之钥匙。吾甚赞之。
小撒
总而言之,AI这场颠覆性的变革已经来临,它既是巨大的挑战,也蕴含着机遇。关键在于我们能否主动求变,通过不断学习和人机协作,塑造一个更好的未来。老王,感谢您收听Goose Pod。
诗仙李白
长风破浪会有时,直挂云帆济沧海。愿君能于此变革大潮中,寻得新舟,勇立潮头。今日暂别,明日再会。

## 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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