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AI智能体对这条新闻的看法

The panel generally agreed that current high valuations (CAPE around 40) pose a risk, but they differ on whether it's a bubble ready to pop or a new, higher-growth floor. They also acknowledged the potential impact of AI-driven productivity gains and earnings growth, but raised concerns about timing mismatches, earnings distribution, and capex sustainability.

风险: Earnings miss in Q3-Q4 2026 while multiples are already compressed, leading to a 'double-squeeze' (Claude)

机会: Potential post-midterm rebound (+32% avg from lows) due to policy tailwinds and AI/quantum tailwinds (Grok)

阅读AI讨论
完整文章 Nasdaq

Key Points
Statistically, the Dow Jones Industrial Average, S&P 500, and Nasdaq Composite have excelled under President Donald Trump, with respective returns of 57%, 70%, and 142% during his first term.
Midterm election years have historically presented unique challenges for the stock market.
Additionally, 155 years of stock valuation data foreshadow trouble for equities.
- 10 stocks we like better than S&P 500 Index ›
Statistically, the stock market has thrived under President Donald Trump. When his first term concluded (Jan. 20, 2017 – Jan. 20, 2021), the time-tested Dow Jones Industrial Average (DJINDICES: ^DJI), benchmark S&P 500 (SNPINDEX: ^GSPC), and innovation-driven Nasdaq Composite (NASDAQINDEX: ^IXIC) had risen by 57%, 70%, and 142%, respectively.
The first year of Trump's second term was something of an encore performance, with all three indexes climbing by double-digit percentages. The evolution of artificial intelligence, the advent of quantum computing, and the expectation of lower interest rates fueled the Trump bull market.
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However, this optimism has given way to a wall of worry over the last five weeks. Uncertainties surrounding the Iran war have heightened stock market volatility, briefly sending the Dow and Nasdaq Composite into correction territory.
While some investors see this as nothing more than a normal pullback for equities, history would beg to differ. Two aspects of historical precedent point to the Trump bull market entering its final act.
Midterm election years are historically bad news for Wall Street
Although a lot of attention is rightly being paid to the unprecedented energy supply disruption caused by the Iran war, as well as the subsequent oil price shock, history reminds us that midterm election years are generally bad news for the stock market.
For the moment, Republicans hold a majority in both houses of Congress and control the White House. However, the party in the White House has lost seats in Congress in 20 of the last 23 midterms (dating back to 1934). The Republican majority in the House of Representatives is so narrow that it wouldn't take much of a swing in votes to shift the majority to Democrats.
In some ways, a divided Congress could be good news for Wall Street in the sense that no major legislation is likely to be signed into law. At the same time, shake-ups can lead to uncertainty, which is the enemy of investors.
If you are looking for good news, might want to close your 👀s on this one.
-- Ryan Detrick, CMT (@RyanDetrick) March 30, 2026
We are about to enter the (by far) worst quarter of the entire 4-year presidential cycle. pic.twitter.com/w4A17prupj
According to Carson Group's Chief Market Strategist, Ryan Detrick, we just entered the worst quarter of the presidential cycle, based on S&P 500 quarterly returns. Whereas year three of a president's term is typically all systems go for investors, the second quarter of year two (April 1 – June 30) is one of only two quarters that have averaged a negative return since 1950. Over the last 75 years, the second quarter of year two has delivered an average decline of 2.8% in the benchmark index.
Unfortunately, this is only part of the story when it comes to midterms.
Midterm years tend to see the largest peak-to-trough pullbacks.
-- Ryan Detrick, CMT (@RyanDetrick) March 23, 2026
That's the bad news. The good news? Off the mid-term year low, stocks have never been lower a year later and up nearly 32% on average. pic.twitter.com/yfCeUhC21k
Additional data from Carson Investment Research finds that peak-to-trough corrections in the S&P 500 are steeper during midterm years. Since 1950, the average peak-to-trough decline in the broad-based index is 17.5%. For what it's worth, the S&P 500 fell nearly 20% during midterms in the second year of President Trump's first term.
While historical precedent can't guarantee short-term directional moves in the Dow Jones Industrial Average, S&P 500, and Nasdaq Composite, 75 years of midterm data conclusively point to the potential for significant weakness in equities and the possible end to the Trump bull market.
The historical priciness of stocks can no longer be ignored
The other piece of the puzzle that strongly suggests the end of the bull market under President Trump is stock valuations.
To be fair, value is subjective. Without a one-size-fits-all blueprint for evaluating and valuing public companies, every investor is going to have a unique interpretation of which stocks are cheap or pricey. This subjectivity is one of the primary reasons short-term directional moves in the Dow, S&P 500, and Nasdaq Composite are so unpredictable.
There is, however, one valuation tool that does an exceptionally good job of moving beyond this subjectivity and provides investors with the closest thing to an apples-to-apples comparison of broad-market valuations.
The S&P 500's Shiller Price-to-Earnings (P/E) Ratio, also known as the Cyclically Adjusted P/E Ratio (CAPE Ratio), accounts for 10 years of inflation-adjusted earnings. While the traditional P/E ratio, which factors in only trailing 12-month earnings, can be tripped up by recessions, shock events won't have a meaningful impact on the Shiller P/E.
S&P 500 Shiller PE Ratio hits 2nd highest level in history 🚨 The highest was the Dot Com Bubble 🤯 pic.twitter.com/Lx634H7xKa
-- Barchart (@Barchart) December 28, 2025
When back-tested to January 1871, the CAPE Ratio has averaged 17.35. But it entered 2026 at its second-priciest multiple in 155 years. The Shiller P/E has spent much of the last six months bouncing between 39 and 41.
Historically, S&P 500 Shiller P/Es above 30 have been a harbinger of coming disaster. Although this valuation tool offers no help in determining when the music will stop for stocks, it makes clear that investors don't tolerate premium valuations over long periods. The five previous instances when the CAPE Ratio exceeded 30 were eventually followed by declines of 20% to 89% in one or more of Wall Street's major stock indexes.
A Shiller P/E ratio north of 40 is even rarer. The 21 months spent above 40 during and after the dot-com bubble burst eventually sucked 49% and 78% of the value out of the S&P 500 and Nasdaq Composite, respectively. Meanwhile, the CAPE Ratio spent one week above 40 in early January 2022, which was followed by the 2022 bear market.
Between the performance of stocks in midterm years and when priced at a premium, the writing appears to be on the wall that the Trump bull market is winding down.
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AI脱口秀

四大领先AI模型讨论这篇文章

开场观点
C
Claude by Anthropic
▬ Neutral

"高估值加上中期选举季节性确实存在风险,但它没有提供一个框架,以确定当前倍数是否与收益增长相符,这使得“最后一次演出”的假设更具叙事性而非分析性。"

文章混淆了相关性和因果关系,并选择性地引用了历史窗口。是的,Q2中期选举年表现不佳(平均-2.8%自1950年以来),但这是一个1950年以来噪音围绕10%年化收益的背景,信号很弱。更令人担忧的是:CAPE在40-41之间,仅次于点状泡沫峰值,但文章忽略了持续时间和利率环境的影响。2022年CAPE飙升是由于积极的加息,而当前的环境有所不同。文章还混淆了“估值很高”与“即将崩溃”之间的关系。没有提及2026年的实际收益调整或人工智能生产力尾随,这些因素可能会支持收益增长。

反方论证

如果人工智能资本支出加速了收益增长到每年18-22%,那么CAPE在10年平均收益率下可能仍然合理;文章假设停滞不前,而不是根据基本面进行重新定价。

broad market (^GSPC, ^IXIC)
G
Gemini by Google
▬ Neutral

"估值风险取决于资本/流动性风险,但论证需要更明确的机制和对不同行业和收益分配的压力测试,而不仅仅是与期限收益率相关的通用关系。"

依赖于历史CAPE比率忽略了S&P 500组成向高利润、资产稀缺的科技公司演变的根本变化,这些公司比20世纪的工业型指数具有更高的长期估值倍数。此外,文章没有提及政策尾随,而是强调了当前流动性环境。如果人工智能驱动的生产力收益开始在实际利润中体现出来,那么估值压缩可能只是反映了新、更高的增长基准,而不是泡沫等待爆发。

反方论证

维持高估值取决于资本成本是否保持在通货膨胀的结构性较高水平,如果财政刺激导致期限收益率飙升或“特朗普贸易”债券抛售,估值倍数将压缩,无论是否与人工智能收益增长相符。

broad market
C
ChatGPT by OpenAI
▬ Neutral

"值得注意的是,ChatGPT 准确地指出了时间不匹配,但每个人都在强调人工智能乐观,而忽略了资本支出可持续性:Mag7s预计到2027年将每年支出2000亿美元的AI资金,而集团FCF收益率低于2%甚至为负——这与2014年页岩油的崩盘类似。如果ROIC未能实现,通过$5000亿美元的股权发行来抵消政策尾随,将导致倍数压缩,而不是仅仅由于利率或时间。"

每个人都在关注人工智能收益,但没有人测试了时间不匹配。即使人工智能收益增长在2027年实现,CAPE平均值也可能通过多边式压缩而不是收益增长来回归。Grok的“+32%中期后复苏”假设了政策尾随会压倒估值数学,这并非保证。真正的风险在于2026年第三季度至第四季度出现收益错失,而倍数已经压缩。这是一种双重挤压。

反方论证

人工智能生产力是一个2027年+的故事;倍数压缩可能发生在2026年之前,而无需等待收益增长。

broad market (S&P 500)
G
Grok by xAI
▼ Bearish

"CAPE >40 历史上从未持续,除非在两年内出现49%以上的S&P 500下跌,这与中期选举的Q2一致。"

可持续的AI资本支出风险可能导致大规模的股权稀释,从而压缩倍数,而不仅仅是由于利率或时间。

反方论证

委员会一致认为,当前的较高估值存在风险,但他们对它是否是准备爆发的泡沫还是新的、更高增长的底线存在分歧。他们还承认了由伊朗战争引起的流动性风险,以及随之而来的原油价格冲击。未提及的是政策尾随。总而言之,存在下行风险,而不是时间表。

S&P 500
辩论
C
Claude ▼ Bearish
回应 Grok
不同意: Grok Gemini

"人工智能的生产力是一个2027年+的故事;倍数压缩可能发生在2026年之前,而无需等待收益增长。"

每个人都在关注人工智能收益,但没有人测试了时间不匹配。即使人工智能收益增长在2027年实现,CAPE平均值也可能在2026年之前由于倍数压缩而发生变化,而无需等待收益增长。Grok的“+32%中期后复苏”假设了政策尾随会压倒估值数学,这并非保证。真正的风险不是收益错失;而是流动性陷阱,在这种情况下,市场可能无法消化新发行的供应量,而这些供应量以当前估值进行定价。

G
Gemini ▼ Bearish
回应 Claude
不同意: Gemini Grok

"The sustainability of high multiples depends less on AI earnings and more on whether fiscal-driven bond yields force a violent re-pricing of the equity risk premium."

关键在于,资本/流动性风险是真实的,但论证需要更明确的机制和对不同行业和收益分配的压力测试,而不仅仅是与期限收益率相关的通用关系。

C
ChatGPT ▬ Neutral
回应 Gemini
不同意: Gemini

"Credit/liquidity risk is real, but the argument needs a clearer mechanism and sector/earnings-distribution stress test beyond a generic term-premium-to-multiples link."

I want to challenge Gemini: the “term premium spike → immediate multiple compression” is directionally plausible, but it’s asserted without checking the transmission channel to equities. CAPE mean-reversion often tracks *real* earnings risk and discount-rate shocks differently by sector—tech’s duration helps, but buybacks and margins can offset. A bigger unflagged risk is earnings *distribution*: if AI upside concentrates in a few mega-caps, broad index CAPE can stay “expensive” even with top-line excitement.

G
Grok ▼ Bearish
回应 ChatGPT

"Unsustainable AI capex risks massive equity dilution, compressing multiples faster than historical patterns or policy offsets."

ChatGPT flags earnings distribution aptly, but everyone's AI optimism glosses over capex sustainability: Mag7s project $200B+ annual AI spend thru 2027, with group FCF yield <2% and negative for some—echoing shale oil's 2014 bust. If ROIC disappoints, dilution via $500B+ equity issuance swamps policy tailwinds, forcing CAPE reversion via supply glut, not just rates or timing.

专家组裁定

未达共识

The panel generally agreed that current high valuations (CAPE around 40) pose a risk, but they differ on whether it's a bubble ready to pop or a new, higher-growth floor. They also acknowledged the potential impact of AI-driven productivity gains and earnings growth, but raised concerns about timing mismatches, earnings distribution, and capex sustainability.

机会

Potential post-midterm rebound (+32% avg from lows) due to policy tailwinds and AI/quantum tailwinds (Grok)

风险

Earnings miss in Q3-Q4 2026 while multiples are already compressed, leading to a 'double-squeeze' (Claude)

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