Fortune | FORTUNE 10月10日 23:40
AI对经济增长的影响:机遇与挑战并存
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人工智能(AI)正成为推动当前经济增长的重要力量,但华尔街分析师们对其长期影响产生疑虑,引发了关于AI是否可能对经济增长产生负面影响的讨论。尽管AI被普遍认为将带来生产力的大幅提升,并已催生了巨额投资,但也有观点担忧其可能引发泡沫,并对现有经济结构构成挑战。一些经济学家指出,AI对经济的贡献可能伴随着资源转移和成本上升,例如数据中心耗电增加推高电价,挤压消费者和其他行业的支出空间。同时,AI相关产业内部也面临市场饱和、竞争加剧等问题。然而,也有分析认为,AI在短期内仍是经济增长的净积极因素,尤其体现在半导体行业和资本支出方面。整体而言,AI对经济增长的影响复杂且多维,既是机遇也伴随着不确定性。

💡 **AI推动经济增长的潜力与现实担忧**:当前牛市很大程度上由AI驱动,市场普遍预期AI将带来巨大的生产力提升,并已催生了千亿美元级别的投资。然而,部分顶尖分析师开始质疑AI对经济增长的实际益处,甚至担忧其潜在负面影响。这种分歧凸显了AI对经济的复杂作用,既是增长引擎,也可能带来结构性挑战。

⚡ **AI对经济增长的潜在负面影响**:有观点认为,AI可能通过资源转移和成本上升来抑制当前经济增长。例如,大规模数据中心的电力需求推高了区域电价,导致消费者可支配收入减少,能源密集型企业成本增加,这可能迫使一些原本具有经济效益的企业关闭,从而在经济增长中留下缺口。数据中心建设虽然创造了就业,但其对能源价格的压力是不可忽视的。

📈 **AI相关产业的增长挑战与市场前景**:尽管AI技术发展迅速,但部分AI驱动型企业,特别是“超级平台”企业,面临自由现金流增长的挑战。市场饱和、日益激烈的竞争(如云服务领域的价格战)以及风险投资涌入不成熟的商业模式,都可能限制AI相关业务的增长速度。这促使一些投资者重新评估对小型股和亏损科技公司的敞口。

📊 **AI作为经济增长净积极因素的论点**:尽管存在担忧,但也有分析认为,AI目前对经济增长是“净积极”的。特别是在资本支出方面,如半导体行业的投资强劲增长,支撑了GDP的增长。尽管有关于AI投资回报周期的讨论,但短期内,AI驱动的投资活动,尤其是对基础设施的投入,被视为推动经济向前发展的巨大力量。

🔄 **AI对经济增长影响的复杂性与不确定性**:AI对经济增长的影响并非简单的线性关系。一方面,AI带来的技术进步和生产力提升是长期的积极因素;另一方面,短期内的资源转移、成本上升以及市场结构性问题可能带来负面冲击。一些研究表明,若剔除数据中心等AI相关投资,经济增长率会显著下降,但同时,这些投资的替代效应也可能在其他领域创造一定的增长。因此,AI对经济增长的最终影响仍需持续观察和评估。

The bull market just celebrated its third anniversary and top analysts on Wall Street are beginning to voice the previously unthinkable: is artificial intelligence (AI), the dynamo powering the great rally, actually kind of bad for economic growth? The consensus holds that AI will inevitably deliver large productivity gains and that’s powered deals worth hundreds of billions of dollars into a throwback, 19th-century style (or late 1990s-style) infrastructure boom. This has led to fears of bubble formation, with even Jeff Bezos saying recently it’s “kind of an infrastructure bubble,” not one purely driven by financial speculation, and it will pay off for years, even generations.

“It seems you can’t go anywhere without talking about AI,” according to Aditya Bhave, senior U.S. economist at Bank of America Research, whose team tackled the subject on Friday. “AI: it’s what everyone is talking about,” they said.

In BofA’s client discussions, according to Bhave’s team, “one of the most frequently discussed topics is AI and what it means for growth, productivity, and the labor market.” They concluded that they have not found evidence of AI usage leading to job losses, especially across white-collar occupations. “The productivity story seems to be winning, at least so far.” Morgan Stanley Wealth Management’s Lisa Shalett and UBS’s Paul Donovan aren’t so sure.

Lisa Shalett, chief investment officer for MS Wealth Management, previously told Fortune she was “very concerned” about bubbly conditions around AI, and reiterated in an October 1 research note that the rally is in its “seventh inning.” Morgan Stanley’s Global Investment Committee flagged three concerns on their mind as the ballgame nears its end: challenges in free cash flow growth among the so-called “hyperscalers,” speculative deal-making and, finally, “slowing growth in key revenue segments.”

Paul Donovan, global chief economist for UBS Wealth Management, wrote on Friday that a simple question is haunting markets: “Is AI hurting growth?” He noted “the exuberance” around it, which “should be based on an expectation that investing today will generate higher economic output in the future,” and in that sense, AI is surely good for long-term growth. The problem, in other words, is closer to home, in those last two innings Shalett has been worrying about.

Growing debate among experts

Donovan’s analysis includes boosts to growth from the now-archetypal data center leading to economic activity from construction workers, programmers and so forth, which have helped lift U.S. growth. “But AI potentially lowers current growth by diverting resources,” he said. For example, he cited research by Bloomberg showing that as regional electricity prices are pushed higher by the power needs of data centers, the spiking bill for consumers results in less money to spend elsewhere in the economy. Likewise, energy-intensive businesses will face higher costs, too. This risks “creating a gap in the economic growth story,” Donovan said, because this dynamic could force some currently economically productive businesses to close. In other words, does the local small business have to die so the data center can live?

Morgan Stanley’s Shalett flags a different concern, that even the supposedly dynamic new AI-based businesses just aren’t growing so fast right now. She blames “market saturation or monopolies—as seen in search and digital advertising—and increasing competition,” citing cloud services, where new entrants are competing on price in a battle for market share. She’s also worried about huge amounts of venture capital flocking to fledgling business models, and advised investors to rethink their exposure to small-cap and unprofitable tech firms.​

Bhave’s team is generally more bullish. While allowing that risks aren’t off the table in the medium term, they argue that for now at least, AI appears to be a “net positive” for growth. Just look at the GDP figures from the first half, which surprised even BofA’s relatively optimistic expectations. The rebound to an annualized rate of 1.6% is “particularly resilient considering the missing imports problem” in the first quarter due to the Trump tariff shock, which “blurs the picture” a bit. Investment in AI is just a huge force driving the economy forward, they say.

Bhave’s team cited senior analyst Vivek Arya, who covers the semiconductors sector, and his bullish call that despite concerns about the medium term, capex spending will still power GDP growth. Arya previously told Fortune in an interview that he thinks jitters have to do with this particular time of year, the fourth quarter crunch as most businesses start thinking about what’s around the bend. Economist Owen Lamont calls it “panic season” in markets and Shalett herself noted the S&P 500 has recently managed to defy the “September curse” of historically poor performance, delivering a nearly 3% gain.

Arya told Fortune that BofA has seen “in prior years right around this time … people get justifiably very nervous about what is going to be the amount of spending next year.” In the start of 2025, he added, clients expected cloud capex to only grow about 20% or so, but thats been blown out of the water with 50%-60% growth instead. “But now it’s the worry again for next year and the year beyond that.”

Another voice is former Obama administration economist Jason Furman, on the faculty at Harvard, who calculated in late September that without data centers, those GDP figures would look a bit different. Subtracting all that capex results in a growth of just 0.1% on an annualized basis for the first half of 2025. To Donovan’s point, some other productive activities would have taken its place, Furman added: “Absent the AI boom we would probably have lower interest rates [and] electricity prices, thus some additional growth in other sectors. In very rough terms that could maybe make up about half of what we got from the AI boom.” Still, the question of AI and growth isn’t a straightforward one.

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