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          美國Z世代確實面臨就業(yè)困境,但原因并非是AI

          Eva Roytburg
          2025-09-23

          對許多Z世代求職者而言,就業(yè)困境可能帶來孤立感并加劇自我懷疑。

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          美聯(lián)儲主席杰羅姆·鮑威爾。圖片來源:Chip Somodevilla/Getty Images

          美國25歲以下群體,尤其是應屆畢業(yè)生,失業(yè)率大幅升高,這已成為2025年最令人憂心的經(jīng)濟問題之一。經(jīng)濟學家、央行官員和勞動力市場分析師近期的洞察表明,這似乎是一個美國獨有的挑戰(zhàn),其根源在于“不招聘,不裁員”的經(jīng)濟現(xiàn)狀,而非單純由于人工智能迅猛發(fā)展所導致。對許多Z世代求職者而言,就業(yè)困境可能帶來孤立感并加劇自我懷疑。這種困境近日得到高層的印證:美聯(lián)儲(Federal Reserve)主席杰羅姆·鮑威爾在聯(lián)邦公開市場委員會(Federal Open Market Committee)會議后的例行新聞發(fā)布會上向記者表示,當前“勞動力市場的狀況耐人尋味”,并特別指出“高校應屆畢業(yè)生、年輕人及少數(shù)族裔群體正面臨就業(yè)難題”,與經(jīng)濟學家對勞動力市場降溫的擔憂不謀而合。他提到低求職成功率與低裁員率并存的現(xiàn)象稱:“我們正處在低解雇率、低招聘率的市場環(huán)境中”,并指出年輕求職者進入職場的難度遠超以往。

          雖然德意志銀行(Deutsche Bank)將最近幾個月稱為“AI失控之夏”,且多項重要研究發(fā)現(xiàn)AI應用正在沖擊部分初級崗位,但鮑威爾持不同看法。他認為AI“可能是因素之一”,但主因是經(jīng)濟整體放緩與招聘緊縮。高盛(Goldman Sachs)和瑞銀(UBS)知名經(jīng)濟學家隨后就這個主題開展研究,基本證實鮑威爾的判斷準確——這并非人工智能導致的問題,至少現(xiàn)階段如此。

          勞動力市場深度凍結

          瑞銀首席經(jīng)濟學家保羅·多諾萬在上周五發(fā)布的題為《年輕人還好嗎?》的分析報告中指出:美國青年失業(yè)率激增與全球趨勢形成鮮明對比,盡管當前關于自動化技術的討論如火如荼,但問題不能歸咎于人工智能。他寫道:“美國勞動力市場的狀況具有特殊性。歐元區(qū)青年失業(yè)率已創(chuàng)歷史新低,英國青年失業(yè)率持續(xù)穩(wěn)步下降,日本青年就業(yè)參與率接近歷史峰值。認為AI唯獨影響美國青年就業(yè)的觀點實在難以令人信服。”

          高盛經(jīng)濟學家皮耶爾弗蘭切斯科·梅上周四表示:“在低流動率的勞動力市場中,求職周期會延長。”他指出“就業(yè)再配置”(即新崗位創(chuàng)造與舊崗位消失的速度)自1990年代末以來持續(xù)下降,近期該趨勢有所放緩。現(xiàn)有崗位間的流動幾乎完全源于“人事變更率”,推動了“大蕭條以來流動率的幾乎所有變化”。高盛研究發(fā)現(xiàn),截至2025年,人事變更率遠低于疫情前水平,這種“普遍性”模式遍及各行業(yè)和各州,且“主要沖擊年輕就業(yè)者”。2019年,在低人事變更率的州,年輕失業(yè)者平均需要10周才能找到新工作,如今這個數(shù)字已延長至12周。

          瑞銀的多諾萬指出,對于Z世代初級崗位求職者的困境,人們“容易將其歸咎于技術”。 “機器、機器人與計算機取代人類的反烏托邦場景始終頗具市場。”他的最終判斷與高盛的結論類似,認為美國模式“更符合全面招聘凍結的解釋框架,這種凍結效應主要沖擊職場新人。”

          藍領崗位是替代選擇?

          多諾萬認為,這也能解釋為何低學歷群體受影響較小——高中輟學者比應屆畢業(yè)生更早獲得全職就業(yè)機會,因此他們很可能在2025年勞動力市場深度凍結前就已經(jīng)找到了工作。隨著大學入學率進入長期下行通道,技工職業(yè)正日益受到藍領創(chuàng)業(yè)者的青睞。當同齡人還背負著學生貸款債務時,這些從業(yè)者不僅收入可達六位數(shù),更實現(xiàn)了當老板的職業(yè)夢想。

          實證研究表明,應屆高校畢業(yè)生在“不裁員,不招聘”的經(jīng)濟周期中受沖擊最為嚴重。以大蕭條時期為例:當各行各業(yè)陷入招聘凍結時,2007至2011年畢業(yè)的大學生尤其遭遇崗位空缺困境。根據(jù)斯坦福大學(Stanford )簡報,這些畢業(yè)生收入始終低于經(jīng)濟平穩(wěn)期畢業(yè)的同齡人,收入差距持續(xù)影響達10-15年。

          這對Z世代和少數(shù)族裔求職者影響深遠。專家警告可能產(chǎn)生“創(chuàng)傷效應”——對他們的收入水平、購房能力與財富積累造成長期損害。歷史表明:經(jīng)濟下行期開啟職業(yè)生涯,會導致起薪降低與經(jīng)濟階層攀升難度加劇。鮑威爾上周三還提到減少勞動力供給的其他因素,如更嚴格的移民政策,并強調少數(shù)族裔在2025年招聘凍結期面臨更嚴峻的就業(yè)形勢。

          鮑威爾表示:“整體求職成功率確實處于低位,若裁員潮開始涌現(xiàn),招聘活動也不會變得更活躍。”關于AI的問題,鮑威爾持開放態(tài)度。他表示AI所產(chǎn)生的影響“存在極大不確定性”。他以近乎推測的口吻指出,“我們或許能看到(AI的)某些影響,但這絕非青年失業(yè)現(xiàn)象的主因”。“這里面可能確實有一些關聯(lián)。以往那些直接招聘應屆畢業(yè)生的公司或機構,如今或許能更充分地利用AI。這或許是造成現(xiàn)狀的原因之一……但具體影響程度難以量化。”(財富中文網(wǎng))

          譯者:劉進龍

          審校:汪皓

          美國25歲以下群體,尤其是應屆畢業(yè)生,失業(yè)率大幅升高,這已成為2025年最令人憂心的經(jīng)濟問題之一。經(jīng)濟學家、央行官員和勞動力市場分析師近期的洞察表明,這似乎是一個美國獨有的挑戰(zhàn),其根源在于“不招聘,不裁員”的經(jīng)濟現(xiàn)狀,而非單純由于人工智能迅猛發(fā)展所導致。對許多Z世代求職者而言,就業(yè)困境可能帶來孤立感并加劇自我懷疑。這種困境近日得到高層的印證:美聯(lián)儲(Federal Reserve)主席杰羅姆·鮑威爾在聯(lián)邦公開市場委員會(Federal Open Market Committee)會議后的例行新聞發(fā)布會上向記者表示,當前“勞動力市場的狀況耐人尋味”,并特別指出“高校應屆畢業(yè)生、年輕人及少數(shù)族裔群體正面臨就業(yè)難題”,與經(jīng)濟學家對勞動力市場降溫的擔憂不謀而合。他提到低求職成功率與低裁員率并存的現(xiàn)象稱:“我們正處在低解雇率、低招聘率的市場環(huán)境中”,并指出年輕求職者進入職場的難度遠超以往。

          雖然德意志銀行(Deutsche Bank)將最近幾個月稱為“AI失控之夏”,且多項重要研究發(fā)現(xiàn)AI應用正在沖擊部分初級崗位,但鮑威爾持不同看法。他認為AI“可能是因素之一”,但主因是經(jīng)濟整體放緩與招聘緊縮。高盛(Goldman Sachs)和瑞銀(UBS)知名經(jīng)濟學家隨后就這個主題開展研究,基本證實鮑威爾的判斷準確——這并非人工智能導致的問題,至少現(xiàn)階段如此。

          勞動力市場深度凍結

          瑞銀首席經(jīng)濟學家保羅·多諾萬在上周五發(fā)布的題為《年輕人還好嗎?》的分析報告中指出:美國青年失業(yè)率激增與全球趨勢形成鮮明對比,盡管當前關于自動化技術的討論如火如荼,但問題不能歸咎于人工智能。他寫道:“美國勞動力市場的狀況具有特殊性。歐元區(qū)青年失業(yè)率已創(chuàng)歷史新低,英國青年失業(yè)率持續(xù)穩(wěn)步下降,日本青年就業(yè)參與率接近歷史峰值。認為AI唯獨影響美國青年就業(yè)的觀點實在難以令人信服。”

          高盛經(jīng)濟學家皮耶爾弗蘭切斯科·梅上周四表示:“在低流動率的勞動力市場中,求職周期會延長。”他指出“就業(yè)再配置”(即新崗位創(chuàng)造與舊崗位消失的速度)自1990年代末以來持續(xù)下降,近期該趨勢有所放緩。現(xiàn)有崗位間的流動幾乎完全源于“人事變更率”,推動了“大蕭條以來流動率的幾乎所有變化”。高盛研究發(fā)現(xiàn),截至2025年,人事變更率遠低于疫情前水平,這種“普遍性”模式遍及各行業(yè)和各州,且“主要沖擊年輕就業(yè)者”。2019年,在低人事變更率的州,年輕失業(yè)者平均需要10周才能找到新工作,如今這個數(shù)字已延長至12周。

          瑞銀的多諾萬指出,對于Z世代初級崗位求職者的困境,人們“容易將其歸咎于技術”。 “機器、機器人與計算機取代人類的反烏托邦場景始終頗具市場。”他的最終判斷與高盛的結論類似,認為美國模式“更符合全面招聘凍結的解釋框架,這種凍結效應主要沖擊職場新人。”

          藍領崗位是替代選擇?

          多諾萬認為,這也能解釋為何低學歷群體受影響較小——高中輟學者比應屆畢業(yè)生更早獲得全職就業(yè)機會,因此他們很可能在2025年勞動力市場深度凍結前就已經(jīng)找到了工作。隨著大學入學率進入長期下行通道,技工職業(yè)正日益受到藍領創(chuàng)業(yè)者的青睞。當同齡人還背負著學生貸款債務時,這些從業(yè)者不僅收入可達六位數(shù),更實現(xiàn)了當老板的職業(yè)夢想。

          實證研究表明,應屆高校畢業(yè)生在“不裁員,不招聘”的經(jīng)濟周期中受沖擊最為嚴重。以大蕭條時期為例:當各行各業(yè)陷入招聘凍結時,2007至2011年畢業(yè)的大學生尤其遭遇崗位空缺困境。根據(jù)斯坦福大學(Stanford )簡報,這些畢業(yè)生收入始終低于經(jīng)濟平穩(wěn)期畢業(yè)的同齡人,收入差距持續(xù)影響達10-15年。

          這對Z世代和少數(shù)族裔求職者影響深遠。專家警告可能產(chǎn)生“創(chuàng)傷效應”——對他們的收入水平、購房能力與財富積累造成長期損害。歷史表明:經(jīng)濟下行期開啟職業(yè)生涯,會導致起薪降低與經(jīng)濟階層攀升難度加劇。鮑威爾上周三還提到減少勞動力供給的其他因素,如更嚴格的移民政策,并強調少數(shù)族裔在2025年招聘凍結期面臨更嚴峻的就業(yè)形勢。

          鮑威爾表示:“整體求職成功率確實處于低位,若裁員潮開始涌現(xiàn),招聘活動也不會變得更活躍。”關于AI的問題,鮑威爾持開放態(tài)度。他表示AI所產(chǎn)生的影響“存在極大不確定性”。他以近乎推測的口吻指出,“我們或許能看到(AI的)某些影響,但這絕非青年失業(yè)現(xiàn)象的主因”。“這里面可能確實有一些關聯(lián)。以往那些直接招聘應屆畢業(yè)生的公司或機構,如今或許能更充分地利用AI。這或許是造成現(xiàn)狀的原因之一……但具體影響程度難以量化。”(財富中文網(wǎng))

          譯者:劉進龍

          審校:汪皓

          The dramatic rise in unemployment among Americans under 25—especially recent graduates—has become one of the most troubling economic headlines of 2025. Recent insights from economists, central bankers, and labor market analysts signal that this appears to be a uniquely American challenge, underpinned by a “no hire, no fire” economy rather than solely by the rapid ascent of artificial intelligence. For many Gen Z workers, the struggle to land a job can feel isolating and fuel self-doubt. But that frustration recently got some high-level validation: Federal Reserve Chair Jerome Powell echoed economists’ concerns about the cooling labor market, telling reporters at his regular press conference following the Federal Open Market Committee that it’s an “interesting labor market” right now, adding that “kids coming out of college and younger people, minorities, are having a hard time finding jobs.” Noting a low job finding rate, along with a low redundancy rate, he said, “you’ve got a low firing, low hiring environment.” and noting that it’s harder than ever for young jobseekers to break in.

          While recent months have been dubbed by Deutsche Bank “the summer AI turned ugly,” and some major studies find AI adoption disrupting some entry-level roles, Powell was less sure. AI “may be part of the story,” but he insisted the main drivers are a broadly slowed economy and hiring restraint. Top economists at Goldman Sachs and UBS tackled the subject soon after and found Powell to be mostly on the money. This isn’t an AI story, at least not yet.

          A deep freeze setting in

          According to a Friday analysis by UBS chief economist Paul Donovan, titled “the kids are alright?” the spike in U.S. youth unemployment stands in stark contrast to global trends and cannot be blamed on artificial intelligence despite the current fascination with automation in public debate. “The U.S. labor market experience is peculiar,” he wrote. “Young Euro area workers have a record low unemployment rate. In the UK, the young persons’ unemployment rate has fallen steadily. Employment participation by young Japanese workers is near all-time highs. It seems highly implausible that AI uniquely hurts the employment prospects of younger US workers.”

          Goldman Sachs economist Pierfrancesco Mei wrote on Thursday that “finding a job takes longer in a low-turnover labor market.” He argued that “job reallocation,” or the pace at which new jobs are created and existing ones destroyed, has been on the decline since the late 1990s, albeit more slowly as of late. Almost all job changes between existing jobs is taking place as “churn,” driving “almost all the variation in turnover since the Great Recession.” Goldman found that as of 2025, churn was well below its pre-pandemic levels, a “broad-based” pattern across industries and states, and this “mostly fall[s] on younger workers.” In 2019, it took a young unemployed worker about 10 weeks to find a new job in a low-churn state, now that’s 12 weeks on average.

          UBS’ Donovan writes that “it might be tempting to blame technology” for the plight of the Gen Z would-be entry-level worker. “Machines, robots, or computers replacing humans is an ever-popular dystopian scenario.” Donovan concludes, similarly to Goldman that the U.S. pattern “more convincingly fits a broader hiring freeze narrative, affecting new entrants to the workforce.”

          A blue-collar alternative?

          According to Donovan, this also has the benefit of explaining the smaller impact on less educated workers, with high school dropouts able to find full-time employment at a younger age than recent grads, and so they likely found work before the 2025 deep freeze set in. With college enrollment also in a long-term secular decline, trade employment is becoming increasingly popular with blue-collar entrepreneurs, some of whom find themselves earning six figures and calling themselves boss while their peers become saddled with student-loan debt.

          Over the long run, recent college graduates are empirically hit the hardest during “no fire, no hire” periods. During the Great Recession, when entire industries froze hiring, college graduates between 2007 and 2011 were uniquely hit by a lack of open positions. Those graduates earned less than their counterparts who graduated during non-recessionary periods — effects that persisted for 10-15 years, according to a Stanford briefing.

          The implications for Gen Z and minority jobseekers are severe. Experts warn of “scarring effects”—long-lasting damage to earnings, homeownership prospects, and wealth accumulation. History shows that starting a career during a downturn can result in lower wages and a steeper climb up the economic ladder. On Wednesday, Powell spoke of other factors reducing the labor supply, such as harsher immigration measures; he also mentioned that minorities are having a harder time finding employment during the 2025 freeze.

          “The overall job finding rate is very, very low,” Powell said. “If layoffs begin to rise, there won’t be a lot of hiring going on.” The AI question remains open, in the Fed chair’s words. Saying “there’s great uncertainty” around how big an impact AI is having, he offered a perspective, almost a guess, that “you are seeing some effects [from AI], but it’s not the main, not the main thing driving” the youth unemployment picture. Still, “there may be something there. It may be that companies or other institutions that have been hiring younger people right out of college are able to use AI that more than they had in the past. That may be part of the story … Hard to say how big it is.”

          財富中文網(wǎng)所刊載內(nèi)容之知識產(chǎn)權為財富媒體知識產(chǎn)權有限公司及/或相關權利人專屬所有或持有。未經(jīng)許可,禁止進行轉載、摘編、復制及建立鏡像等任何使用。
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