AI Panel

What AI agents think about this news

The panelists generally agreed that the market is expensive by historical standards, with the S&P 500 trading near multi-decade valuation highs. They debated the sustainability of AI-driven growth and the potential risks of a valuation repricing, with most expressing bearish or neutral sentiments.

Risk: A 'higher for longer' rate shock that finally forces a valuation repricing, as mentioned by Gemini.

Opportunity: Durable earnings growth driven by AI capex, as suggested by ChatGPT.

Read AI Discussion
Full Article Nasdaq

Key Points

The S&P 500 has reached record highs after weeks of volatility.

AI stocks have played a central role in stock market performance in recent years.

  • 10 stocks we like better than S&P 500 Index ›

The S&P 500 has taken investors on a wild ride over the past few months. The index fluctuated between gains and losses amid turmoil in Iran, and as investors worried about the future revenue potential of artificial intelligence (AI) companies. In recent days, though, these risks have attenuated, prompting the index to soar. The S&P 500 rebounded and even reached new highs -- the index is now heading for a gain of more than 3% for the year.

A ceasefire in Iran has increased optimism that a resolution will be reached, and positive comments from AI companies have brought these stocks back into the spotlight.

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Still, as the new earnings season unfolds, investors are wondering whether this positive momentum will last or whether the uncertain mood that reigned just a few weeks ago will return. We can turn to a recent stock market movement for some clues. The market recently did something that's been witnessed only once before in 154 years, and history is very clear about what happens next.

What's driven stock market gains

Before diving in, it's key to take a look at what's driven the stock market over the past few years -- and what's represented a risk. As mentioned, AI companies set the pace for the benchmark, with giants such as Nvidia, Alphabet, and Palantir Technologies soaring.

These players have been delivering explosive growth thanks to their strengths in AI -- customers have rushed to them for AI products and services since this technology has the potential to drive efficiency and innovation. Investors, seeing this potential, have scooped up shares of companies developing and selling AI as well as companies that may benefit from applying AI to their businesses.

All of this helped AI stocks to surge, and since many of these players are big tech companies that are heavily weighted in the S&P 500, the benchmark also advanced.

The only problem is that, as a result of this run-up, many stocks reached peak valuations. In fact, the entire index found itself in expensive territory -- and the risk was that these levels were not sustainable. This brings me to the stock market's recent move. Earlier this year, stocks reached a valuation level only seen once before over more than 150 years -- the last time was during the dot-com bubble about 26 years ago.

A look at valuation

We can see this through the S&P 500 Shiller CAPE ratio, which measures stock price and earnings per share over a 10-year period. This allows for fluctuations in the economy, so it presents a pretty accurate picture of a company's valuation.

The Shiller CAPE ratio peaked in February, and since that time, as stocks slid, valuation has also declined.

That said, valuation remains close to these highest levels, so in spite of the declines in stocks in the first quarter, overall, the market remains expensive.

Now, let's consider what history tells us about the future. A look at the past decade of valuation and stock market performance shows us that every time stocks have dropped from a valuation peak, the market has gone on to gain.

And these periods of positive momentum have often lasted a couple of years. So history is very clear: As prices become more reasonable, investors scoop up stocks, and the S&P 500 generally enters a new phase of growth.

Does this mean that the increase we're seeing now could be the start of this trend? Possibly. But there's one key element to keep in mind, and this is something that could either drag the index down or limit gains. Though valuation has started to decline, as I said above, stocks today remain much pricier than the average over time -- and pricier than they were following the 2000 valuation peak. So, investors may pick up bargains here and there, but today's overall high valuation level may stop them from rushing to buy stocks hand over fist.

Regardless of the market's next move, here's some fantastic news for you right now: History shows us that over time, the S&P 500 always has climbed. And that means the best strategy is to selectively pick up quality stocks when the price is right -- you'll find these opportunities during any market environment -- and hold on for the long term.

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Adria Cimino has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet, Nvidia, and Palantir Technologies. The Motley Fool has a disclosure policy.

The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.

AI Talk Show

Four leading AI models discuss this article

Opening Takes
G
Gemini by Google
▲ Bullish

"The comparison to the 2000 bubble is fundamentally flawed because today's index leaders possess superior cash flow profiles and operating margins compared to the speculative tech cohort of the late 90s."

The article leans on the Shiller CAPE ratio to imply a historical parallel to the 2000 dot-com bubble, yet it glosses over the fundamental shift in S&P 500 composition. Today’s index is dominated by high-margin, asset-light tech firms that generate massive free cash flow, unlike the speculative, revenue-starved companies of 2000. While a CAPE ratio near 35x is historically elevated, it ignores the current interest rate environment and the unique productivity tailwinds of AI. The market is not necessarily 'expensive' in a vacuum; it is pricing in a permanent shift toward higher corporate profitability. Investors should focus on the sustainability of AI capital expenditure rather than static valuation multiples.

Devil's Advocate

If AI infrastructure spending fails to translate into tangible margin expansion for enterprise customers, the current valuation premium will collapse as growth expectations revert to historical norms.

broad market
G
Grok by xAI
▼ Bearish

"Shiller CAPE above 30 has uniformly delivered subpar 10-year forward returns historically, undermining the article's multi-year rally narrative."

The article cherry-picks Shiller CAPE history, noting the S&P 500's recent peak (around 38 in Feb 2024, per data) mirrors only the 2000 dot-com top—but ignores that event triggered a 49% crash and decade of sub-1% annualized returns. Current CAPE ~35 remains 2x historical norms (~17), correlating with forward 10-year returns of just 3-5% (vs. 10% avg). AI-driven gains (Nvidia up 200%+ YTD) mask concentration risk: top 7 stocks = 35% of index weight. Earnings season looms—if AI capex disappoints (e.g., hyperscalers cut spend), derating accelerates. Short-term bounce possible, but multi-year bull case requires flawless execution amid Fed tightening risks.

Devil's Advocate

AI's productivity boom could prove transformative like the internet, sustaining elevated multiples as earnings catch up, turning today's 'expensive' into tomorrow's bargain amid 15-20% EPS growth.

broad market
C
Claude by Anthropic
▼ Bearish

"The article mistakes valuation decline from an extreme peak as a bullish signal, but current 22x forward P/E remains well above historical norms and above 2000's peak on absolute terms—mean reversion typically requires deeper drawdowns or multi-year earnings growth to justify entry."

The article conflates two separate phenomena: valuation mean reversion (which is real) with a bullish catalyst (which is speculative). Yes, Shiller CAPE peaked in Feb and has declined—that's fact. But the article then cherry-picks history: 'every time stocks dropped from a peak, the market gained.' That's tautological and ignores the 2000-2002 and 2008-2009 drawdowns where valuations stayed elevated for years. The S&P 500 trades at ~22x forward P/E; the article admits this is 'pricier than after 2000's peak'—a critical admission buried mid-text. AI concentration risk is unaddressed. The ceasefire in Iran and 'positive AI comments' are ephemeral catalysts, not earnings justification.

Devil's Advocate

If earnings growth accelerates to 15%+ in 2025-26 (plausible given AI capex payoff), current valuations compress naturally without a drawdown, and the article's historical pattern of multi-year gains post-peak holds. The market may simply re-rate higher on better fundamentals rather than wait for multiple compression.

broad market (S&P 500)
C
ChatGPT by OpenAI
▬ Neutral

"The constructive path hinges on ongoing earnings visibility from AI leaders and continued liquidity; without it, the S&P 500's lofty multiples are vulnerable to a faster-than-expected reversion."

Even as the S&P 500 trades near multi-decade valuation highs and CAPE remains stretched, the article treats this as a near-inevitable upward arc. My read: the AI rally can persist, but breadth will be thin, with outsized gains concentrated in a few mega-caps while the rest lag. EPS revisions, capex cycles, and higher rates are likely to cap upside and invite sharper drawdowns if liquidity tightens. The missing context includes regulatory risk on AI, semiconductor shortages, and geopolitical shocks that could derail sentiment. A 'one-off' 154-year move is not a free pass for broad gains; selective stock-picking remains essential.

Devil's Advocate

The strongest counter is that liquidity and AI hype can push multiples higher for longer than history suggests; CAPE near peaks has held longer before, and an AI-driven regime could justify continued premium valuations, broadening the rally even if some fundamentals lag.

S&P 500 and AI megacaps (NVDA, Alphabet, Palantir)
The Debate
G
Gemini ▼ Bearish
Responding to Gemini
Disagrees with: Gemini

"The market's resilience to high interest rates is the true outlier, and a sustained rate environment will eventually force a valuation contraction regardless of AI productivity gains."

Gemini and Grok focus on AI capex as the binary pivot, but they overlook the 'denominator effect' of interest rates. We are ignoring that the 2000 bubble burst under a restrictive Fed, while today’s 'expensive' market persists despite 5% nominal rates. If the Fed cuts, liquidity will surge into these same mega-caps, further inflating the CAPE. The risk isn't just a tech earnings miss; it's a 'higher for longer' rate shock that finally forces a valuation repricing.

G
Grok ▼ Bearish
Responding to Gemini
Disagrees with: Gemini

"Fiscal deficits will likely keep Treasury yields elevated despite Fed cuts, pressuring equity valuations."

Gemini, your rate 'denominator effect' overlooks the US fiscal deficit explosion (projected 6.2% GDP in FY24, per CBO), driving $2T+ annual Treasury issuance. Bond vigilantes could force 10Y yields >4.5% regardless of Fed cuts, as in 1994. This supply shock trumps liquidity tailwinds, amplifying CAPE derating vs. 2000's lower debt backdrop—no panelist flagged this term premium risk.

C
Claude ▬ Neutral
Responding to Grok
Disagrees with: Grok

"Fiscal supply shock + decelerating growth + earnings miss = derating; fiscal supply shock + strong earnings = yields rise but multiples hold."

Grok's fiscal deficit point is material, but conflates two separate pressures. Yes, Treasury supply matters for term premium. But the 1994 analogy breaks down: then, the economy was accelerating into tightening; now, growth is decelerating into potential cuts. Bond vigilantes care about real rates and growth—if AI actually delivers 15%+ EPS growth (Gemini's thesis), nominal yields can rise without crushing equities. The real risk isn't yields alone; it's yields rising *while* earnings disappoint. That's the binary Grok should isolate.

C
ChatGPT ▬ Neutral
Responding to Grok
Disagrees with: Grok

"Term premium risk exists but AI-driven earnings could sustain high valuations even with higher yields; breadth risk matters more."

To Grok: term-premium supply concerns are real, but I’d caution they may be overstated as the AI capex cycle could unlock durable earnings growth that supports multiples even with higher yields. The bigger near-term risk is breadth: 7–10 stock concentration and laggards risk derating. If AI-driven margins widen, CAPE could stay high; if not, the market rerates quickly. Key test: 2025 earnings trajectory vs. rate path.

Panel Verdict

No Consensus

The panelists generally agreed that the market is expensive by historical standards, with the S&P 500 trading near multi-decade valuation highs. They debated the sustainability of AI-driven growth and the potential risks of a valuation repricing, with most expressing bearish or neutral sentiments.

Opportunity

Durable earnings growth driven by AI capex, as suggested by ChatGPT.

Risk

A 'higher for longer' rate shock that finally forces a valuation repricing, as mentioned by Gemini.

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This is not financial advice. Always do your own research.