JPMorgan: AI Stock Sell-off Is a Correction, Not the End of the Bull Run

After weeks of jittery sessions on Wall Street that hammered chipmakers and cloud giants alike, JPMorgan is telling investors to stay calm. The bank raised its S&P 500 target to 7,800 points and argues that the recent sell-off in AI-linked stocks is a valuation correction, not a sign that the AI investment boom driving the bull market is coming to an end.

What JPMorgan changed

The bank's new forecast has the S&P 500 ending the year at 7,800 points, about 6 percent above current levels. That is a 200-point increase from its prior target and one of the more bullish calls among major investment banks, alongside Goldman Sachs and HSBC, which have pointed to a range of 7,500 to 7,600 points.

Analysts also raised their earnings-per-share forecast for index constituents to $350, which they say reflects a strong improvement in corporate results compared with the prior year. In the bank's view, the fundamentals of the US economy remain solid, and tech companies keep growing profits despite rising spending on AI infrastructure.

Where the sell-off came from

Recent weeks brought a wave of profit-taking in stocks tied to the AI boom, from chipmakers to cloud providers. Some investors started wondering whether valuations had drifted too far from actual business fundamentals. JPMorgan acknowledges that valuations for some AI stocks rose faster than their earnings improved, but it does not read that as a sign of a bursting bubble, rather as a natural pullback after a long stretch of gains.

The bank compares the current situation to earlier phases of the bull market, where periodic declines were treated as buying opportunities rather than the start of a lasting reversal. In this framing, the correction is meant to flush excess leverage out of the market rather than undercut the longer-term case for structural growth driven by artificial intelligence.

Flash crash risk

Despite its upbeat price target, JPMorgan is warning of a separate risk: a sudden, sharp sell-off triggered by algorithmic trading, commonly known as a flash crash. The bank notes that high valuations for AI stocks, combined with elevated expectations for quarterly earnings, create conditions where even solid results can disappoint the market if they merely meet forecasts instead of clearly beating them.

This is a technical risk rooted in the structure of modern trading, where a large share of transactions are executed by automated systems reacting to the smallest deviations from expectations. A sudden drop could therefore occur without any change in fundamentals, purely as the result of an algorithmic chain reaction.

The scale of investment behind it

More broadly, JPMorgan maintains that the investment boom around artificial intelligence is not a one-off episode but a multi-year supercycle. The bank estimates that global capital spending on AI infrastructure will reach $5.5 trillion by 2030, with the trend gradually spreading into other industries, from banking to energy and logistics, beyond just chipmakers and cloud providers.

That perspective explains why the bank's analysts see the current sell-off as an episode within a longer trend rather than its end. At the same time, the bank acknowledges that after months of one-directional gains driven almost entirely by the AI narrative, markets are entering a phase of greater volatility in which investors will need to weigh other macroeconomic factors as well.

What it means for investors in Poland

For Polish investors, whose portfolios increasingly include funds and ETFs tied to major US tech companies, JPMorgan's stance carries practical weight. The bank suggests that sharp swings in the share prices of leading AI companies are likely in the coming months, but do not necessarily signal a reversal of the trend that has driven Wall Street for several years.

Caution still seems warranted, though. The flash crash warning is a signal that even major investment banks, despite bullish price targets, are bracing for the possibility of sudden and hard-to-predict moves in AI stocks over the coming quarters.