S&P 500 to Hit 9,000 Next Year? JPMorgan Sees 22% Gain, AI Is Key Variable

TradingKey - Renowned Wall Street investment bank JPMorgan ( JPM) has issued its latest assessment, suggesting that the S&P 500's 9,000-point threshold could be breached within the next year.

This represents a gain of approximately 22% from current levels. Despite widespread market concerns regarding U.S. inflationary pressures and geopolitical risks from conflict in Iran, JPMorgan believes the scale of the AI supercycle may exceed previous expectations, serving as the core engine for a sustained market rally.

JPMorgan Global Investment Strategist Kriti Gupta noted in the report: "While this is not the most likely scenario, the S&P 500 could indeed touch a high of 9,000 by mid-2027. An upside of about 22% from current levels may seem optimistic, but it remains entirely possible under specific conditions."

AI Drives US Equity Earnings Resilience

JPMorgan's analysis indicates that the strong performance of the U.S. tech sector this year is primarily driven by the dual factors of resilient corporate earnings and optimistic expectations for artificial intelligence.

Latest earnings season data show stellar performance for U.S. corporate profits, with earnings surging 22.6% year-over-year and rising 15.3% sequentially from the fourth quarter of 2025, marking the first record of six consecutive quarters of double-digit growth since the financial crisis.

Although some investors worry that market momentum is overly concentrated in the technology sector, JPMorgan believes that if artificial intelligence can indeed substantially accelerate the growth of total factor productivity, the valuation expansion of tech stocks will be backed by solid fundamental support.

The bank further explained that, driven by the AI technological revolution, if the corporate sector can achieve cost reduction and efficiency gains through intelligent transformation, earnings growth is expected to maintain an expansion pace of over 10% while avoiding inflationary pressures—this "high growth, low inflation" combination could provide the key momentum for the U.S. stock market to sustain its upward trend.

In its research report, JPMorgan reviewed historical experience, noting that the internet wave of the late 1990s drove U.S. labor productivity to an annualized growth rate of 2.8%, during which the S&P 500 index achieved annualized returns exceeding 20% for five consecutive years between 1995 and 2000.

Gupta and his team also responded to recent market volatility, pointing out that while the 40-basis-point spike in the 10-year U.S. Treasury yield in the short term has drawn market attention, fluctuations of this magnitude are not uncommon in history.

They added that if market expectations for U.S. economic growth are higher, the U.S. stock market can withstand the impact even if Treasury yields are higher.

Outlook for US equities remains divided

Although institutions like JPMorgan Chase remain optimistic about the outlook for U.S. stocks, there is a significant divergence within Wall Street regarding market trends.

The prevailing view is that after the S&P 500's rapid rebound from its March lows, it will likely enter a phase of range-bound consolidation. On one hand, the continuous climb in global bond yields could dampen household consumption and corporate capital expenditures, thereby dragging down economic growth; on the other hand, energy price volatility triggered by geopolitical tensions in the Middle East has pushed up inflation expectations and fuel costs, serving as a key risk variable for global monetary policymakers.

Melissa Brown, Managing Director of Investment Decision Research at SimCorp, cited long-term market statistics noting that since 1926, the U.S. stock market has achieved annualized returns exceeding 15% for four consecutive years only three times, making such performance extremely rare.

From 2023 to 2025, the S&P 500's annualized returns were 26%, 25%, and 18%, respectively. Extrapolating from historical patterns, stock market returns in 2026 are likely to fall below the mean, with full-year gains potentially staying in the single-digit range; the index is currently up 8% year-to-date.

Brown further analyzed that historical data shows that after the market achieves annualized returns of over 20% for three consecutive years, the average return in the fourth year is only 3.9%, significantly lower than the long-term mean of 11.8%.

She admitted that while statistical patterns cannot absolutely predict short-term movements and AI-related sectors still possess structural momentum to drive the broader market higher, the probability of the market continuing to break out next year may systematically decline if this year ultimately confirms "low double-digit" growth.