TradingKey - The S&P 500 Index has recently experienced volatility at high levels. As of the close of the U.S. stock market on July 16, the S&P 500 Index stood at 7,533.77 points, down 0.51% for the day. Although the index pulled back in the short term, technicals show that the medium-to-long-term bullish trend remains intact, and institutions continue to be optimistic about the future of the S&P 500 Index.
From a market perspective, the recent correction in the S&P 500 primarily stemmed from a cooling off in technology and semiconductor stocks. Over the past few months, the rally in U.S. equities has been largely driven by the AI, chip, cloud computing, and data center supply chains, with gains concentrated in a handful of mega-cap tech giants and semiconductor leaders. Once the market begins to worry about the AI trade overheating, or if investors choose to lock in profits ahead of the earnings season, the index is prone to a pullback.
Secondly, geopolitical risks and rising oil prices have also weighed on risk appetite. Escalating tensions between the U.S. and Iran have pushed up crude oil prices, raising market concerns that a rebound in energy prices could bring back inflationary pressures. If rising oil prices feed through to corporate costs and consumer spending, Federal Reserve policy expectations could lean hawkish again, which would be unfavorable for high-valuation growth stocks.
Thirdly, the valuation of the S&P 500 is already elevated, leaving the market with less margin for error. As the index previously continued to hit record highs, investors had already priced in positive factors such as earnings growth, AI investments, and economic resilience. Therefore, at the slightest sign of a pullback in semiconductor stocks, rising oil prices, or uncertainty in inflation data, capital tends to opt to reduce exposure first.
Although the S&P 500 has recently experienced volatile pullbacks at high levels, mega-cap U.S. tech companies have not slowed down their investment in AI; instead, the trend of acceleration continues. This is also an important reason why the market is reluctant to easily turn bearish on the medium-term outlook of U.S. equities. For the S&P 500, AI is evolving into a capital expenditure cycle covering data centers, chips, servers, storage, networking equipment, power, and cloud computing services.
Meta ( META) is one of the most aggressive companies in AI investment recently. The latest news shows that the company will expand its Hyperion data center project in Louisiana to a computing power scale of 5GW, with a total investment exceeding $50 billion. Meanwhile, it has also raised its 2026 capital expenditure guidance to a range of $125 billion to $145 billion, up from the previous range of $115 billion to $135 billion.
Microsoft ( MSFT) is also continuing to expand its AI infrastructure footprint. The company announced it will invest $10 billion in Japan from 2026 to 2029 for AI infrastructure, cybersecurity, and talent development; meanwhile, Microsoft also plans to purchase approximately 3,200 acres of land in Cheyenne, Wyoming, to build data centers, further expanding its global cloud computing and AI computing network.
Alphabet ( GOOGL) is also significantly doubling down. The company previously expected capital expenditures for 2026 to be between $175 billion and $185 billion, primarily for AI, technical infrastructure, and cloud computing capacity building. Recently, Alphabet also announced plans for an $80 billion equity financing to further expand its AI infrastructure and computing capacity.
These latest moves indicate that mega-cap U.S. tech companies have not reduced their investments due to market concerns over an AI bubble. On the contrary, they are continuing to bet on the long-term growth of AI demand by constructing new data centers, expanding cloud infrastructure, developing proprietary AI chips, and increasing computing power reserves. For the S&P 500, AI capital expenditures will continue to support the earnings expectations of semiconductor, server, storage, power equipment, and cloud computing companies; however, it is worth noting that the larger the scale of capital expenditure, the higher the market's requirements for return on investment.
Therefore, AI investment is both the core driving force for the continued upward movement of the S&P 500 and the main source of friction behind the index's recent high-level volatility. As long as investors believe that mega-cap tech companies' AI investments will eventually translate into actual revenue growth, the S&P 500 still has the foundation to challenge higher levels. But if subsequent financial reports show that the monetization of revenue and profits from AI investments is slower than expected, the pullback risk for the S&P 500 will significantly intensify.
From institutional perspectives, Wall Street as a whole remains generally optimistic. Goldman Sachs raised its S&P 500 target for the end of 2026 to 8,000, with the core reasoning being that corporate earnings growth remains strong, and AI infrastructure-related companies are expected to contribute about half of the S&P 500's earnings growth this year. Meanwhile, the bank warned that narrow market breadth and excessive momentum have already become risk signals.
J.P. Morgan raised its year-end S&P 500 target to 7,800, citing the earnings momentum driven by AI investment and the continued resilience of the US economy. Wells Fargo set an even higher target, raising it to 7,950, while upgrading its 2026 and 2027 EPS forecasts, believing that improving corporate earnings will continue to support the index. Morgan Stanley, meanwhile, set its year-end target at 8,000, and projects that the S&P 500 could reach 8,300 by mid-2027, primarily driven by earnings growth and the continuation of the AI capital expenditure cycle.
Overall, mainstream investment banks do not believe the recent correction will alter the medium-term trend of US equities, but their optimistic projections are all predicated on one premise: corporate earnings must continue to materialize, and in particular, mega-cap tech companies must prove that their AI investments can generate tangible returns.

S&P 500 Index weekly chart, Source: TradingView
From the perspective of the overall trend, as the candlestick highs and lows continuously move upward, the S&P 500 Index shows a clear uptrend. Meanwhile, the two medium-to-long-term moving averages, SMA60 and SMA144, remain in a bullish alignment within the moving average system, indicating the strong persistence of the S&P 500 Index's upward trend.
From the market perspective, the recent movement of the S&P 500 Index has been oscillating within a high-level range of 7250-7600. The index has tested the key resistance level of 7600 three consecutive times but failed to break through, indicating strong resistance at this level. On Monday, the index weakened under pressure below 7600 and may continue its range-bound oscillation in the short term, pulling back further.
On the downside, the primary support level to watch for the S&P 500 Index is 7400. If this level fails to hold, the index may pull back further toward 7250. If it continues to break below 7250, the downside room toward the support level near 7100 will open up.
On the upside, the primary resistance level to watch for the S&P 500 Index is the 7600 mark. If it can effectively break through and stabilize above this level, the index will open up upside room toward the 8000 mark.