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Wall Street’s Outlook For The S&P 500 In 2025: Strong Growth Expected

Wall Street analysts are projecting continued strong returns for the S&P 500 in 2025, with most major banks forecasting a third consecutive year of impressive performance for the index, which tracks the 500 largest public U.S. companies. Investors are buoyed by the ongoing bull market, which is expected to continue into the next year.

Key Predictions

  • Bank of America: The bank expects the S&P 500 to reach 6,666 by the end of 2025, marking a 10% increase from its current level of 6,050. Analysts, led by Savita Subramanian, attribute this growth to favorable macroeconomic factors, including lower interest rates, increased labor productivity, and a corporate environment of rising profits. Subramanian adds that “the average stock is more attractive than the entire index.”
  • BMO Capital Markets: This Canadian institution predicts the S&P 500 will hit 6,700 points by year-end, implying an 11% growth. Chief strategist Brian Belsky notes that earnings growth is currently undervalued, and rate cuts by the Federal Reserve should support further gains.
  • Deutsche Bank: Setting the highest target on Wall Street, Deutsche Bank forecasts a 16% rise, predicting the S&P 500 will end 2025 at 7,000 points. Strategists, including Binky Chadha, suggest that increased capital spending outside of big tech, a global economic recovery, and rising M&A activity will contribute to this strong performance.
  • Evercore ISI: Focusing on technology, Evercore predicts 6,600 points by mid-2025. Strategists led by Julian Emanuel believe the bull market is “still in its infancy,” signaling the potential for ongoing growth.
  • Goldman Sachs: With a target of 6,500 points (+9%), Goldman Sachs anticipates continued U.S. economic expansion and an 11% increase in earnings per share, driving market growth.
  • Morgan Stanley: Morgan Stanley also sets a target of 6,500 points but provides a broader range of potential outcomes, from a bullish scenario of 7,400 points (+26%) to a bearish scenario of 4,600 points (-28%).
  • UBS: Forecasting 6,600 points by the end of 2025, UBS expects a 10% gain, bolstered by the return of Donald Trump to the presidency, which has accelerated positive market sentiment.
  • Yardeni Research: This independent firm is even more optimistic, predicting the S&P 500 will reach 7,000 points by the end of 2025, reflecting a 19% increase. Yardeni’s forecast is rooted in the potential economic benefits of a “Trump 2.0” administration.

Big Number

Yardeni Research also predicts that the S&P 500 could climb as high as 10,000 by 2029, anticipating a strong annualized return of 16%.

Key Story

The S&P 500 is on track for a 27% year-to-date gain, surpassing its 23% rise in 2023. This would mark the first time the index has gained at least 20% in two consecutive years since the internet boom between 1995 and 1998. With a 58% rise since the end of 2022, the S&P is poised for its best two-year performance since the late 1990s.

Much of the recent growth has been driven by major tech companies like Amazon, Meta, Nvidia, and Tesla, which have each seen over 150% growth since the end of 2022, defying the pressures of a high-interest rate environment.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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