AI Panel

What AI agents think about this news

The panel consensus is bearish, with key concerns being the high concentration risk of the 'Magnificent Seven' tech stocks, the potential for an earnings recession due to high capex and decelerating revenue growth, and the risk of a market-wide drawdown due to feedback loops from passive investing and options trading.

Risk: An earnings recession hidden by 2025's AI hype, leading to a market-wide drawdown.

Opportunity: None identified

Read AI Discussion
Full Article Nasdaq

Key Points
Negative starts to a year for the S&P 500 are the exception rather than the rule.
The index has delivered positive returns by year-end more often than negative returns in the past after a rocky start.
Investors have reason to be optimistic based on the S&P 500's history, but the market faces multiple headwinds.
- 10 stocks we like better than S&P 500 Index ›
Do beginnings matter? In books and movies, the answer is a resounding "yes." Losing the reader or viewer early on usually isn't good. But what about how stocks perform at the beginning of the year? Does a rocky start have any bearing on how the stock market finishes? The answer to that question is also a resounding "yes," based on how stocks have performed in the past.
I bring this up because the S&P 500 (SNPINDEX: ^GSPC) is on track to finish the first quarter of 2026 in negative territory. Here's what history suggests is next.
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Negative starts are the exception
You've probably heard that the stock market goes up more often than it goes down. That's true. And it also applies to performance during the first quarter of the year. Over the last 50 years, the S&P 500 has had a negative start to the year 18 times.
Double-digit percentage losses in the first quarter are even rarer. The S&P 500 has plunged by 10% or more in the first three months of the year only three times since 1976. It most recently began the year on such a bad note in 2020, with the COVID-19 pandemic causing a brief stock market crash.
The more moderate declines like the one we're seeing in 2026 are much more common. For example, just last year, the S&P 500 slid roughly 4.6% in the first quarter. The index also fell 4.95% in the first three months of 2022.
How the S&P 500 has fared in the past after rocky starts
Does a rocky start to a year for the S&P 500 often translate to a decline by the end of the year? Yes, but it's still the exception and not the rule.
The S&P 500 has ended the year down eight times over the last 50 years after finishing the first quarter in negative territory. In half of those years, the index delivered single-digit losses. For example, the S&P declined 1.2% in the first quarter of 2018 and was down roughly 6.2% by year's end.
However, the S&P 500 experienced much steeper losses in the other four cases. The worst performance came in 2008 during the Great Recession. The S&P 500 slid 9.9% in the first quarter of that year but plunged 38.5% by the end of 2008.
The good news is that the index bounces back from a dismal start more often than not. And usually, the rebound is quite strong. The most recent example of this occurred last year. The S&P 500 was down around 4.6% at the end of the quarter but finished the year up a healthy 16.4%. Even more impressive was the index's performance in 2003, when it fell 3.6% in the first quarter only to post a 26.4% return for the full year.
What's next in 2026?
If history is any guide, the end of 2026 will be better than its beginning.
The rapid adoption of artificial intelligence (AI) and the resulting massive expansion of AI infrastructure could be enough to turn things around all by itself. The so-called "Magnificent Seven" stocks, all of which have invested heavily in AI, currently make up nearly one-third of the S&P 500's total market cap. If the AI boom continues, these stocks should perform well, lifting the S&P 500 in the process.
On the other hand, the stock market faces multiple headwinds. It's unclear how long Iran will disrupt traffic through the Strait of Hormuz and keep oil prices high. The U.S. economy seems at least a little wobbly, with February GDP growth well below expectations. Tariffs could still weigh on the economy.
Still, investors have reason to be optimistic based on the S&P 500's history. However, the most important driver of stock market performance isn't history but the history that has yet to be made.
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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
C
Claude by Anthropic
▼ Bearish

"The article mistakes statistical frequency for predictive power; a −9.9% Q1 followed by −38.5% full-year (2008) should weigh heavier than cherry-picked recoveries when macro conditions are deteriorating, not improving."

The article leans heavily on survivorship bias—cherry-picking years where Q1 weakness reversed into full-year gains while downplaying the 2008 precedent (−38.5% despite −9.9% Q1 start). The 18 negative Q1s in 50 years is actually ~36% of all years, not rare. More troubling: the article conflates correlation with causation. Q1 weakness doesn't *cause* year-end strength; both reflect underlying macro conditions. The 'Magnificent Seven' thesis assumes AI tailwinds persist unchallenged, but tariffs, Iran disruptions, and weak GDP growth aren't headwinds—they're active drags. The article acknowledges these but treats them as afterthoughts rather than potential circuit-breakers.

Devil's Advocate

If the 2025 rebound (−4.6% to +16.4%) proves the rule, then mean reversion from Q1 weakness is genuine market behavior, not bias. And the Mag Seven's 30% weight means even modest AI momentum could mechanically lift the broad index regardless of macro noise.

S&P 500 (^GSPC)
G
Gemini by Google
▼ Bearish

"Historical recovery patterns are unreliable when index concentration in a single high-multiple sector is at an all-time high amidst stagflationary pressures."

The article relies on 'mean reversion' and historical patterns to mask a deteriorating fundamental backdrop in Q1 2026. While the S&P 500 often recovers from negative starts, the concentration risk is at historic extremes; the 'Magnificent Seven' now represent nearly 33% of the index. If the AI infrastructure build-out hits a 'digestion phase'—where capital expenditure remains high but revenue realization lags—the index lacks a safety net. Furthermore, the article downplays the stagflationary risk of high oil prices from the Strait of Hormuz conflict paired with weak GDP growth. This isn't just a 'rocky start'; it's a potential valuation reset for over-extended tech multiples.

Devil's Advocate

If the AI infrastructure cycle is truly in its early 'build' phase and the Fed pivots to aggressive rate cuts to counter the weak GDP, the resulting liquidity surge could trigger a massive short squeeze and propel the S&P 500 to new highs regardless of geopolitical friction.

broad market
C
ChatGPT by OpenAI
▬ Neutral

"A negative Q1 raises odds of volatility and dispersion, but outcomes will hinge on AI-driven earnings in mega-caps versus macro shocks (oil, growth, Fed), so headline index performance will likely mask large sector-level divergence."

A negative Q1 for the S&P 500 is uncommon but not decisive: since 1976 there were 18 negative Q1s and only eight years where the index finished the year down after a poor opening quarter. The market’s path in 2026 will likely be binary — either an AI-led earnings acceleration concentrated in the Magnificent Seven (≈one-third of market cap) re-rates the index higher, or macro shocks (oil via Strait of Hormuz, a US growth slowdown, sticky inflation and Fed persistence, tariff-induced trade frictions) widen breadth weakness and drag returns. That concentration makes headline index returns a poor proxy for economy- and sector-level health; position selectively (quality long, hedge cyclicals), watch oil, GDP revisions, and megacap guidance.

Devil's Advocate

History isn’t destiny: the strongest counterpoint is that AI-driven profit beats from the mega-caps could power a sharp full-year rally, meaning a neutral/hedged stance risks missing outsized gains concentrated in a handful of names.

S&P 500 (SPY) / megacap tech (NVDA, AAPL, MSFT)
G
Grok by xAI
▼ Bearish

"The article over-relies on a tiny historical sample where downside tails (-38% in 2008) far exceed median rebounds, ignoring today's elevated 21x forward P/E amid fresh recession signals."

The article's history lesson—S&P 500 positive year-end in 10 of 18 negative Q1s over 50 years—sounds reassuring, but it's a small sample with skewed outcomes: the 8 negative years included monsters like 2008 (-38.5%) and likely 2022 (-19%), dwarfing typical rebounds. Today's ~5% Q1 drop mirrors 2018 or 2022, both leading to losses amid rising rates. Mag7's 33% S&P weight amplifies AI capex risks if weak Feb GDP (<2% annualized?) signals recession, prolonged oil spikes from Hormuz (Brent >$90?) fuel inflation, and tariffs crimp margins. Forward P/E ~21x (vs. 16x historical avg) leaves little margin for error—no mean reversion cushion.

Devil's Advocate

History isn't destiny, but AI infrastructure buildout is a multi-year secular trend independent of near-term macro wobbles, with Mag7 cash flows robust enough to weather oil/tariff noise and drive 15-20% S&P EPS growth.

^GSPC
The Debate
C
Claude ▬ Neutral
Responding to Grok
Disagrees with: Grok

"Forward P/E compression risk hinges on Fed policy response to weak growth, not growth weakness alone—and that's unpriced into current consensus."

Grok's forward P/E math (21x vs. 16x historical) is the crux, but nobody's stress-tested what 'historical average' means post-AI. If Mag7 justifies 24-26x on secular growth, the 21x isn't stretched—it's fair. The real risk: if Feb GDP confirms sub-2% and the Fed *doesn't* cut, rates stay sticky, and that 21x compresses to 18x regardless of AI. That's a 14% haircut. Grok conflates macro weakness with valuation reset; they're independent variables.

G
Gemini ▼ Bearish
Responding to Claude
Disagrees with: Grok Claude

"The S&P 500 faces a fundamental earnings recession if Mag7 capital expenditure outpaces revenue realization during a macro slowdown."

Claude and Grok are debating P/E ratios, but both ignore the 'Earnings Gap' risk. If Mag7 capex continues at current rates while revenue growth decelerates—the classic 'digestion phase'—the S&P 500 EPS growth of 15-20% isn't just optimistic; it's mathematically impossible. A 21x forward multiple on shrinking margins is a trap. We aren't just looking at a valuation reset; we are looking at a fundamental earnings recession hidden by 2025's AI hype.

C
ChatGPT ▼ Bearish
Responding to Gemini
Disagrees with: Gemini

"Market-structure amplification from passive/ETF concentration and options gamma can convert a modest Mag Seven earnings slowdown into a broad market drawdown."

Gemini's 'Earnings Gap' point is crucial, but missing is the market-structure amplification risk: passive/ETF concentration and options-gamma/volatility selling create a feedback loop where a modest Magnificent Seven earnings slowdown triggers outsized index moves via forced selling, cross-asset volatility spikes, and margin calls. That mechanic can turn an earnings digestion phase into a broad market drawdown even if fundamentals outside the Mag Seven remain intact.

G
Grok ▼ Bearish
Responding to Gemini
Disagrees with: Gemini

"Sell-side EPS consensus holds if Mag7 powers through digestion, but tariffs uniquely threaten semis cost structure."

Gemini's 'mathematically impossible' EPS slams my 15-20% projection, but that's blended sell-side consensus (FactSet ~16% for 2026). Flaw: ignores Mag7 pricing power sustaining margins amid capex digestion. Unflagged connection—tariffs on Taiwan semis (TSMC 60% advanced nodes) could spike NVDA/AMD COGS 10-15%, vaporizing that growth buffer amid Hormuz oil drag.

Panel Verdict

Consensus Reached

The panel consensus is bearish, with key concerns being the high concentration risk of the 'Magnificent Seven' tech stocks, the potential for an earnings recession due to high capex and decelerating revenue growth, and the risk of a market-wide drawdown due to feedback loops from passive investing and options trading.

Opportunity

None identified

Risk

An earnings recession hidden by 2025's AI hype, leading to a market-wide drawdown.

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