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

by THEFUTURE.TEAM

December 4, 2024

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%.

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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.

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AI Spending Is Complicating The Fed’s Fight Against Inflation

by News Editor

August 12, 2026

Silicon Valley leaders have long argued that artificial intelligence will make technology and services dramatically cheaper. OpenAI CEO Sam Altman has described a future where intelligence becomes extremely inexpensive, while Tesla and SpaceX CEO Elon Musk has predicted that AI and robotics will create greater abundance and drive down costs.

So far, those benefits have yet to materialise at scale. AI adoption remains relatively slow, while the enormous investment needed for data centres and AI infrastructure is putting pressure on electricity prices, supply chains and other costs. For the Federal Reserve, this creates a difficult balancing act: AI could eventually boost productivity and reduce inflation, but its current buildout is contributing to higher prices.

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OpenAI chief economist Ronnie Chatterji said AI needs to be adopted by organisations and generate measurable value before its broader economic impact becomes visible in productivity statistics.

AI Adoption Remains Uneven

Capital spending on AI infrastructure in the U.S. is expected to reach $581 billion this year, according to Goldman Sachs Research, with global investment potentially reaching $1 trillion.

Despite the scale of spending, adoption remains far from universal. A May survey by the U.S. Census Bureau found that 17% to 20% of U.S. businesses reported using AI, with adoption significantly higher among large companies.

Companies that have implemented AI at scale also highlight the challenges. Julie Averill, former CIO of Lululemon, said successful deployment requires changes in employee behaviour and trust in the technology. OpenAI has observed a similar divide: its most advanced business users deploy AI at around eight times the rate of average companies.

Why Productivity Gains May Take Time

Economists point to the limits of automation. AI can perform individual tasks effectively, but many jobs combine tasks that are difficult to automate.

Stanford professor Charles Jones refers to these as “weak links”. Radiology, for example, involves interpreting scans but also communicating with patients and working with colleagues. AI can automate part of the job without eliminating the profession itself.

As a result, the full economic impact of AI may not become clear until businesses adopt the technology more broadly and reorganise their operations around it.

AI Adds To The Fed’s Policy Challenge

AI’s economic impact has become part of the Federal Reserve’s policy debate. Fed Chairman Kevin Warsh has argued that AI could eventually become a significant disinflationary force by increasing productivity and strengthening U.S. competitiveness.

Other officials are more cautious. In July, the Fed kept interest rates at 3.5% to 3.75%, while some officials expressed concern that AI infrastructure spending could add to inflationary pressures.

Minneapolis Fed President Neel Kashkari pointed to massive data-centre investment as a new source of demand. Household electricity prices rose 10% in the two years through July, compared with a 6.2% increase in overall consumer prices. Meanwhile, shortages of chips and other AI components are pushing up costs. JPMorgan Chase estimates that DRAM prices could rise 400% by the end of 2026 compared with 2024.

Warsh has consequently adopted a more cautious tone, saying that while AI investment is laying the groundwork for future growth, the timing and scale of its economic effects remain difficult to predict.

For the Fed, the challenge is clear: AI could eventually deliver major productivity gains, but the cost of building that future is already showing up in the economy.

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