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Source document· March 24, 2026

Buy 2 Vanguard Index Funds to Beat the S&P 500 in the Next Year, According to Wall Street

View original at finance.yahoo.com
Buy 2 Vanguard Index Funds to Beat the S&P 500 in the Next Year, According to Wall Street The consensus forecast among Wall Street analysts says the S&P 500(SNPINDEX: ^GSPC) will reach 8,338 in the next year, according to FactSet Research…
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What we drew from this source

The claims Via News extracted from this document. We point to the source; we don't replace it.

  • S&P 500 target of 8,338 implies 28% upside from current level of 6,506

    60% confidence
  • The consumer discretionary sector will reach 2,244 over the next year, implying 30% upside from its current level of 1,725

    60% confidence
  • S&P 500 will reach 8,338 in the next year

    60% confidence
  • The S&P 500 will reach 8,338 in the next year, implying 28% upside from its current level of 6,506

    60% confidence
  • Consumer discretionary sector will reach 2,244 over the next year, implying 30% upside

    60% confidence
  • Investors are concerned that AI will disrupt the software industry

    60% confidence
  • Investors are worried that hyperscalers are overspending on AI infrastructure

    60% confidence
  • S&P 500 will reach 8,338 in the next year

    60% confidence
  • The information technology sector will reach 7,215 over the next year, implying 39% upside from its current level of 5,203

    60% confidence
  • Information technology sector will reach 7,215 over the next year

    60% confidence
  • Investors are concerned that AI will disrupt the software industry

    60% confidence
  • Consumer discretionary sector will reach 2,244 over the next year

    60% confidence
  • Investors are worried that hyperscalers are overspending on AI infrastructure

    60% confidence
  • Information technology sector will reach 7,215 over the next year, implying 39% upside

    60% confidence
  • AI may be the most transformative technology in decades

    60% confidence
  • Consumer discretionary sector target implies 30% upside from current level of 1,725

    60% confidence
  • AI may be the most transformative technology in decades

    60% confidence
  • S&P 500 forecast implies 28% upside from current level

    60% confidence
  • Information technology sector was the best-performing stock market sector during the last decade due to proliferation of cloud computing and artificial intelligence

    60% confidence
  • Investors are worried that hyperscalers are overspending on AI infrastructure

    60% confidence
  • Information technology sector target implies 39% upside from current level of 5,203

    60% confidence
  • Investors are concerned that AI will disrupt the software industry

    60% confidence

Data points we hold from this source

Apple Podcasts · portfolio weight15.8 percent
Apple Podcasts · portfolio weight vgt15.8 percent
What we know · the intelligence behind this page
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What we're seeing
The Agentic Takeover of the CFO's Office
Enterprise finance software vendors—BlackLine, OneStream, Numero AI, and Oracle—are racing to embed autonomous AI agents into core financial operations (close, consolidation, reporting), backed by consolidation M&A (Numero-Royu, BlackLine-WiseLayer), fresh leadership hires, and survey data showing nearly a quarter of CFOs plan to boost AI spending over 50%. Adoption momentum is strong even as at least one bellwether (Oracle) sees its stock lag year-to-date, suggesting the market hasn't yet fully priced in the shift from AI-as-feature to AI-as-agent in finance.
Our read on the data ›
Signals we're tracking
Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
Patterns we're watching ›
Where sources disagree
Morgan Stanley & Co. LLC
Two significantly different EPS values (10.21 vs 2.68 USD_per_share) are reported for Morgan Stanley on the same observation date (2025-12-31). Fact A specifies FY 2025, while Fact B's 'N/A' fiscal period is ambiguous. If both represent FY 2025 annual EPS, these values directly conflict. The magnitude of the difference (3.8x) is too large to attribute to rounding or minor calculation variations. The missing fiscal period in Fact B raises data quality concerns, but same-date observation + same attribute should reference the same period.
We flag conflicts openly ›
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