Fortune | FORTUNE 10月09日 19:45
AI热潮下的S&P 500创新高,分析师解读市场走向
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尽管国际货币基金组织和英格兰银行警告AI可能存在泡沫并预示股市可能大幅回调,标普500指数周三仍创下历史新高,科技股领涨。华尔街对AI增长的可持续性存有疑虑,但部分分析师认为企业对AI工具的真实且不断增长的需求、科技公司自身的资金实力以及当前估值与2000年互联网泡沫时期相比不那么极端,都是支撑AI热潮的理由。分析师指出,大型科技公司正将其大量运营现金流用于AI投资,且当前估值尚未达到互联网泡沫的极端水平,即使AI市场出现回调,也未必会导致美国经济衰退。

📈 **AI投资的现实基础**:尽管存在泡沫担忧,但企业对AI工具的真实且持续增长的需求是支撑当前AI热潮的关键。分析师指出,大型科技公司如微软、谷歌和亚马逊在AI企业级需求方面表现强劲,并预计未来三年将在AI领域投入巨资,这表明AI的增长并非空中楼阁。

💰 **稳健的资金支持**:与2000年互联网泡沫时期不同,当前的AI建设主要由科技公司自身的强大运营现金流而非高风险债务或风险投资所资助。ING的研究表明,大型科技公司对AI的投资规模巨大,但这些投资的资金来源是健康的现金流,这降低了对企业信贷质量的担忧。

📊 **估值对比与市场风险**:虽然科技股推高了标普500指数,但分析师认为当前的市场估值,特别是市盈率,尚未达到2000年互联网泡沫时期的极端水平。尽管存在少数科技公司集中上涨带来的风险,但与过去相比,AI经济的根基更为稳固,大规模资本支出由内部现金流支撑,而非依赖循环的“供应商融资”。

📉 **经济影响的评估**:即使AI投资热潮出现回调,分析师认为其对美国GDP增长的影响相对有限,不太可能直接导致美国经济陷入衰退。Pantheon Macroeconomics估计,AI资本支出对美国GDP的提振约为0.3个百分点,其消失对经济的冲击可能小于2000年的互联网泡沫破裂,但仍可能对经济增长构成显著拖累。

The S&P 500 hit a new all-time high Wednesday (up 0.58% on the day), driven as usual by tech stocks (the Nasdaq Composite rose 1.12%), despite the fact that both the IMF and the Bank of England warned that AI might be a bubble and stocks are due for a sharp correction.

For weeks, all the talk on Wall Street is that the growth of the AI sector must, surely, be unsustainable and that this bubble is due to pop. The record-high price of gold, alone, suggests that a lot of investors want a hedge against an implosion in U.S. tech stocks.

Yet some analysts are saying that you should believe the hype. They argue:

    Corporate demand for AI tools is real and growing.AI build-out is being funded by hard cash from tech company balance sheets, not risky debt.Stock valuations are not as extreme as they were in the dotcom crash of 2000.And even if a crash in AI did happen, the fallout wouldn’t tip the U.S. into recession. 

The biggest cheerleader for AI is, of course, Dan Ives at Wedbush who recently published a note titled “Expecting a Robust 3Q Tech Earnings Season to Match the AI Hype; Popcorn Moment.”

“The cloud stalwarts Microsoft, Alphabet, and Amazon had very robust AI enterprise demand in the quarter based on our field checks. While some investors continue to question the valuations and pace of this tech spending trend, we believe to the contrary the Street is still underestimating how big this AI spending trajectory is,” he told clients. He believes these companies will spend $3 trillion on AI over the next three years.

Importantly, that spending isn’t coming from debt or VC funding, according to Jan Frederik Slijkerman and Timothy Rahill at ING. They recently published a note examining whether all this AI spending might hurt corporate credit quality and discovered that … everything is totally fine!

“Investments by the largest technology companies [Amazon, Alphabet, Meta, Microsoft, and Oracle] are expected to surpass the US$400bn mark in 2026. … The investments described above are mind-blowing, given their scale. What is even more striking is that these investments have been funded from operating cash flows,” they wrote.

“From a debtholder perspective, we are less concerned with a potential mismatch between supply and demand, as the large technology platforms mentioned above have funded their expansion plans from their cash flows,” they said.

Still, surely stocks are overvalued? The majority of gains in the S&P 500 this year have been driven by a handful of tech companies. That concentration risk could hurt investors if there is a pullback.

We aren’t there yet, according to Jeff Buchbinder, chief equity strategist for LPL Financial in Boston. “The forward price-to-earnings ratio (P/E) of the S&P 500 has yet to reach dotcom era levels, and in fact remains below December 2020 levels because earnings were depressed coming out of the COVID-19 pandemic,” he said in a note today. “So large caps stocks are expensive, lifted by AI-driven technology stocks, but not quite to the extremes of 25 years ago.”

The economics of AI are much more robust than the dotcom era, he says. “Perhaps the key difference between the broader secular AI growth theme and the dotcom era is that large, AI hyperscalers have mostly funded capital expenditures (capex) with strong internal cash flows, not through AI revenue in singularity or by issuing debt or equity. In comparison, dotcom era spending was broadly funded through massive amounts of ‘vendor financing,’ which ultimately led to the circular flow of capital that fueled the bubble burst.” 

And even if there is a correction, it won’t be too bad, argue Samuel Tombs and Oliver Allen at Pantheon Macroeconomics. They estimate that AI capex boosted U.S. GDP growth by 0.3% points. Even if it all disappeared it would not be enough to tip the U.S. into recession, they say. “Weaker growth is more likely than a recession if the AI boom turns to bust,” they said in a note to clients. “The likely hit from the AI boom turning to bust would be a significant drag on the economy, but probably a smaller shock than the bursting of the dot-com bubble in 2000, and an ensuing recession would be far from a forgone conclusion.” 

That comes with a caveat: “It would be more alarming, though, if a reversal of AI optimism led to a broader correction in the stock market beyond AI-linked companies, especially if the hit to households’ wealth and confidence tipped the fragile balance in the labor market, leading to a jump in the layoff rate,” they said.

Here’s a snapshot of the markets ahead of the opening bell in New York this morning:

    S&P 500 futures were flat this morning. The index closed up 0.58% in its last session.STOXX Europe 600 was down 0.22% in early trading. The U.K.’s FTSE 100 was down 0.21% in early trading. Japan’s Nikkei 225 was up 1.77%.China’s CSI 300 was up 1.48%. The South Korea KOSPI was up 2.7%. India’s Nifty 50 was up 0.54% before the end of the session. Bitcoin fell to $121.4K.
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