All Content from Business Insider 10月14日 15:01
AI或致美国经济“无就业增长”,需积极适应
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Goldman Sachs报告指出,人工智能(AI)正推动经济增长,但也引发对“无就业增长”的担忧。AI驱动的生产力提升可能导致企业削减成本,从而影响就业,尤其是在医疗保健行业以外的领域。尽管技术进步历来会创造新就业,但AI作为一种劳动力替代技术,可能带来更大的就业挑战,尤其是在经济衰退期间,企业可能利用这一时期进行结构性调整,裁减冗余劳动力。AI还可能加剧收入不平等,挤压中等收入岗位。然而,AI带来的生产力提高有望抑制通胀,为美联储降息提供空间。

📈 **AI驱动生产力提升与“无就业增长”风险**:文章指出,AI正显著提升生产力,但这种增长可能伴随就业增长的停滞,即“无就业增长”。Goldman Sachs的分析显示,尽管GDP增长强劲,但就业增长可能变得缓慢,甚至在某些行业出现负增长。企业可能通过AI来降低劳动力成本,导致招聘放缓,特别是那些受AI影响较大的行业,如科技行业的年轻从业者。这种趋势可能使经济增长与就业脱钩,需要社会和个体积极适应。

💼 **AI对劳动力市场的双重影响:替代与转型**:AI技术被视为一把双刃剑。一方面,它能够自动化重复性任务,提高效率,但另一方面,它也可能直接替代部分工作岗位,特别是那些技能要求较低或工作内容重复性高的职位。文章提到,AI可能像过去的工厂自动化一样,“掏空”中等收入的白领岗位。然而,历史经验表明,技术进步在带来结构性失业的同时,也会创造新的工作机会,关键在于劳动力的转型和适应能力,以及创新如何创造新的就业领域。

📉 **经济衰退期AI对就业的潜在冲击**:文章强调,AI对就业的真正考验可能出现在经济衰退期间。过去的经验表明,在经济低迷时期,公司往往会利用生产力提升带来的契约能力来削减成本,优化劳动力结构,裁减效率较低的员工。如果AI的普及使得这种“结构性调整”更加容易,那么经济衰退可能导致更严重的失业问题,并且这些失业可能难以在经济复苏后得到有效恢复,重现2000年代初“无就业复苏”的局面。

⚖️ **AI加剧不平等与抑制通胀的双重效应**:AI的发展可能进一步加剧社会经济不平等。那些能够掌握和利用AI技术的劳动者可能获得更高的回报,而那些技能容易被AI替代的劳动者则面临失业或工资下降的风险,这可能导致“就业两极分化”。与此同时,AI驱动的生产力提升也可能成为抑制通胀的积极因素。生产效率的提高有助于降低商品和服务的成本,这可能为央行在就业市场面临压力时提供降息的空间,从而在一定程度上抵消部分负面影响。

Daniel Priestley warned that AI is a tsunami that will split the economy in two — and sink anyone who doesn't adapt.

The US economy is strong, but America may be entering an era of "jobless growth" because of artificial intelligence, Goldman Sachs wrote in a Monday note.

"The modest job growth alongside robust GDP growth seen recently is likely to be normal to some degree in the years ahead," analysts at Goldman Sachs wrote.

They added that this trend is likely to continue, with most potential growth coming from AI-driven productivity. Meanwhile, population and lower immigration would contribute only modestly to the labor supply.

There are already signs of a weaker job market, wrote the analysts.

The analysts pointed out that job growth outside the healthcare industry has turned negative in recent months, and that corporate management teams are increasingly focused on using AI to reduce labor costs — a shift that could weigh on hiring long term.

AI's uneven impact on the workforce

However, concerns about technology displacing workers are nothing new, Goldman's analysts acknowledged.

Over the past decade, there have been growing concerns that new technologies could eliminate jobs faster than they create new ones. Until recently, that disruption hasn't shown up clearly in the data.

But that may be starting to change.

"Over just the last few years, AI does appear to be hurting the employment prospects of the most closely exposed workers, such as young technology workers," the analysts wrote.

Employment growth has already turned negative in the most AI-exposed industries, even if the broader impact remains modest for now, they added.

"While we are skeptical of the boldest claims that rapid technological progress could lead to very high unemployment, some transitional friction is possible," wrote Goldman's analysts.

They described that friction as a normal part of the economy adjusting to new technologies.

"Innovation and greater spending power as output and income rise will also create new work opportunities that offset job losses," they wrote.

The bank's research shows that past waves of technological progress have temporarily increased unemployment and forced more workers to change occupations.

The kind of innovation matters, too: Some technologies create jobs, while others, like many AI tools, replace them.

"If AI is mainly labor-substituting, it could present a greater challenge to maintaining full employment," the analysts warned.

The risk of a 'jobless recovery'

Still, the true test for the AI economy may not come until the next downturn, Goldman's analysts wrote.

"In past recessions, employment of workers in routine occupations has dropped sharply — especially when they followed productivity booms — and did not recover after," they wrote.

The analysts point to the early-2000s "jobless recovery" as a case in point. After the 2001 recession, US GDP bounced back quickly thanks to tech-driven productivity, but total employment lagged for years as companies used the downturn to cut jobs.

"A leading explanation for this phenomenon is that companies use recessions to restructure and streamline their workforce by laying off workers in less productive areas," they wrote.

"This is especially true when recessions follow productivity booms that give companies some pent-up ability to cut labor costs and improve efficiency without significantly hurting their productive capacity," they added.

Higher unemployment isn't the only risk. AI could also deepen inequality, rewarding workers who can leverage new technology while squeezing out midlevel jobs.

AI could "hollow out" middle-income white-collar roles, much like factory automation once displaced skilled blue-collar workers, the analysts wrote. Early evidence suggests that in some cases, the technology might actually help lower-skilled workers more than higher-skilled ones.

A silver lining for inflation—and the Fed

There's one upside to all this: Faster productivity growth tends to keep inflation in check, they wrote.

That could give the Federal Reserve room to cut rates even if unemployment drifts higher, mirroring its approach during the early-2000s recovery.

Goldman's latest report on AI's impact comes as the US grapples with a range of uncertainties, including the lack of official job data amid the government shutdown, the fallout from President Donald Trump's import tariffs, and the seismic disruption caused by AI.

In September, the private sector lost 32,000 jobs, according to ADP data.

The outlook wasn't brighter by other metrics.

Workforce analytics firm Revelio Labs reported a 17.2% drop in job openings from a year earlier. Challenger, Gray & Christmas found that hiring plans have fallen to their lowest level since the Great Recession, with the smallest number of new hires announced in the first nine months of a year since 2009.

Read the original article on Business Insider

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AI 人工智能 经济 就业 生产力 Goldman Sachs 无就业增长 AI Artificial Intelligence Economy Employment Productivity Jobless Growth
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