Goldman Lifts S&P 500 Target to 8,000 on AI

Goldman Sachs has increased its year-end 2026 target for the S&P 500 to 8,000, citing robust earnings growth powered by artificial intelligence infrastructure spending [2]. The new forecast, raised from a previous estimate of 7,600, implies an upside of approximately 6.4% from a recent close of 7,519 [2]. Strategist Ben Snider attributes the optimistic outlook to "exceptionally strong" first-quarter earnings and a significant investment boom in AI [1, 4].

Key takeaways

• Goldman Sachs raised its S&P 500 year-end 2026 target to 8,000, up from a previous 7,600 [2].
• The firm projects 2026 earnings per share of $340, a 24% increase, and $385 for 2027 [2, 3].
• AI infrastructure beneficiaries are expected to account for roughly half of the index's earnings growth in 2026 [1, 4].
• Hyperscale tech companies are forecast to spend $754 billion on capital expenditures this year [1].

AI Investment Drives Earnings Forecasts

Goldman's revised outlook relies heavily on the financial performance of companies involved in the AI buildout. The bank estimates that the largest hyperscale tech companies will spend $754 billion on capital expenditures this year, an 83% increase from 2025, rising to $905 billion by 2027 [1]. Semiconductor companies, along with tech hardware, industrials, and utilities, are identified as the primary beneficiaries, expected to drive about half of the S&P 500’s total earnings growth in 2026 [1, 4]. Strategists believe this spending will translate into a 0.4 percentage point boost to EPS growth from productivity this year and a 1.5 percentage point boost in 2027 [1].

Risks and Market Context

While the 8,000 target aligns with forecasts from Deutsche Bank and Morgan Stanley, it sits above the average strategist estimate of 7,500 to 7,600 [2]. Goldman acknowledges risks, noting that nearly half of the projected earnings growth is concentrated in a single thematic cluster, creating vulnerability if AI capital expenditure slows [2]. Additionally, the broader economy faces headwinds from softening consumer spending, elevated input costs, and fading fiscal stimulus [1, 3]. The firm also notes that a sustained rise in the 10-year Treasury yield above 4.75% could pressure valuations [2].

Why it matters

The forecast underscores the extent to which Wall Street views AI as the primary engine for future equity performance. However, the reliance