Why Global Stocks Are Not Yet in a Bubble

Goldman Sachs Research concludes that while the global equities market, particularly the AI-driven technology sector, displays some characteristics of an early-stage bubble like stretched valuations and concentration, it is fundamentally distinct from past bubbles. The firm highlights that current tech valuations are underpinned by strong fundamentals, disciplined internal capital expenditure by established companies, and contained leverage, rather than speculative excess. Although IPO activity is increasing, it remains below dot-com era levels, and market returns are broadening beyond large-cap tech. Nonetheless, the report cautions about risks from potential earnings disappointments or over-investment in AI infrastructure, advising investors to diversify and closely monitor capital expenditure and leverage.

Analysis

Goldman Sachs Research notes global equities exhibit early-stage bubble characteristics, including valuation excess, market concentration, and AI-driven investor exuberance. The top 10 US companies, primarily tech, now account for nearly a quarter of the global equity market. However, GSR distinguishes this period from historical bubbles, emphasizing that current technology sector valuations are supported by strong fundamentals, not speculative excess.

Unlike past booms, AI-driven growth is led by established firms with robust balance sheets, not poorly capitalized startups. While IPO premiums average 30% in the US, similar to dot-com levels, overall speculative IPO activity remains significantly lower. Tech investment is largely funded by disciplined internal capital spending, with capex-to-sales ratios and leverage contained below historical bubble levels.

Despite these strengths, the market faces risks from potentially disappointing corporate earnings or a loss of investor confidence, alongside concerns about over-investment in AI infrastructure. Encouragingly, market returns are broadening beyond US large-cap technology, with European markets and value sectors outperforming, and AI's increasing ties to physical infrastructure linking tech to the broader economy.

Key Decisions for Investors

• Investors should prioritize portfolio diversification, considering opportunities in broadening markets like European equities and value sectors, to mitigate concentration risk in large-cap tech.
• Closely monitor corporate earnings reports and capital expenditure trends, especially within AI infrastructure, to assess the sustainability of current growth rates and potential for over-investment.
• Maintain discipline by avoiding overpaying for unproven companies and scrutinizing leverage levels, as valuations are stretched despite underlying fundamental strength.