According to Benzinga, Barclays raised its year-end target for the U.S. S&P 500 index from 7,800 to 7,950 points on Wednesday (9th), wagering that corporate earnings growth and sustained artificial intelligence (AI) spending will drive this rally forward.

Barclays increased its S&P 500 target from 7,800 to 7,950 points and simultaneously raised its 2026 earnings per share (EPS) forecast from $337 to $365. The S&P 500 was trading around 7,625 points on Wednesday, meaning Barclays' target is approximately 4% above current levels.

Despite the upward revision, Barclays remains one of the more conservative institutions on Wall Street. HSBC raised its target to 8,100 points on Tuesday, while UBS, Goldman Sachs, and Citigroup also expect the S&P 500 to close the year at 8,000 points or higher.

Traders in prediction markets, however, are more cautious. Polymarket currently assigns about a 40% probability to the S&P 500 surpassing 8,000 points by year-end, and the overall betting weight shows a higher likelihood of the index falling below 7,500 points than breaking above 8,000.

AI-Driven Earnings Growth Is Key

Barclays' base case assumes corporate earnings growth of 30.8% and a price-to-earnings (P/E) ratio of 21.8x. If EPS reaches $365 and is multiplied by a 21.8x P/E, it results in an index level close to 7,950 points.

This means Barclays' bullish stance is primarily based on corporate earnings growth, not on investors' willingness to pay increasingly high valuations.

NVIDIA (NVDA-US) is central to this bet, while Microsoft (MSFT-US), Amazon (AMZN-US), and Alphabet (GOOGL-US) are investing hundreds of billions of dollars in AI infrastructure.

This spending is also spreading beyond processors into other areas. Susquehanna analyst Mehdi Hosseini estimates that memory chips now account for 50% to 55% of semiconductor industry revenue, benefiting companies like Micron Technology (MU-US).

What Could Cause the 7,950-Point Target to Miss?

Major cloud providers still need these AI investments to generate durable and stable returns.

Investor Michael Burry believes these companies may be underestimating depreciation costs by extending the useful life of AI hardware. However, the fact that NVIDIA's A100 chips, used for about six years, still retain economic value complicates this argument.

Barclays also notes that persistent inflation, geopolitical uncertainty, rising interest rate risks, and the sustainability of AI spending could threaten the market.

These risks were evident on Wednesday. According to Reuters, Brent crude oil prices surged past $100 per barrel, and U.S. Treasury yields rose to their highest level since November 2023. These market moves highlight Barclays' concerns: inflation and interest rates could limit how much investors are willing to pay for corporate earnings.

Currently, Wall Street's targets are gradually converging around 8,000 points or higher. But prediction market traders remain relatively cautious, with the betting weight for the S&P 500 falling below 7,500 points by year-end still exceeding that for surpassing 8,000 points.

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  • Source: PR Times
  • Category: Survey
  • Organizations: Alphabet