The AI bubble has further to run despite the looming crash

2026-06-27 · Source: AI (artificial intelligence) | The Guardian · Field: Finance & Economics — Capital Markets & Investment Management, Economic Analysis & Policy · Depth: Novice, short

Summary

The current stock market exhibits characteristics of an artificial intelligence-driven bubble, with investors continuing to fuel growth despite warnings from financial experts. Ludovic Subran, Allianz's chief investment officer, cited SpaceX's $25bn bond sale following an $86bn listing as a sign of "bubble territory." Veteran investor Jeremy Grantham likens AI to past transformative technologies like railways or the internet, predicting overinvestment before it settles as a utility with limited direct profit. Dhaval Joshi of BCA Research describes this phenomenon as the "madness of crowds," where investor opinions become correlated, diminishing market accuracy. The "Magnificent Seven" tech giants (Amazon, Alphabet, Nvidia, Meta, Microsoft, Apple, Tesla) are central to this, with the S&P 500's top 10 companies now accounting for 40% of its market capitalization, surpassing the 1999-2000 tech bubble's 27% peak. Despite looming crash predictions, the bubble is expected to continue due to substantial corporate profits, political support for market stability, and a surplus of global savings.

Key takeaway

For investors evaluating equity portfolios, recognize that the current AI-driven market exhibits significant bubble characteristics, with the S&P 500's top 10 firms holding 40% market cap. Despite expert warnings, "fear of missing out" continues to fuel growth. Diversify your holdings beyond the "Magnificent Seven" and prepare for an inevitable market correction, as historical patterns suggest overinvestment in transformative technologies eventually leads to a utility phase with reduced direct profitability.

Key insights

Investor "fear of missing out" (FOMO) is driving the AI stock market bubble despite expert warnings and historical precedents.

Principles

• Market wisdom degrades when investor views correlate.
• Overinvestment often precedes utility-phase profitability.
• Early crash predictions often precede further market rises.

In practice

• Monitor S&P 500 concentration in top tech firms.
• Observe corporate borrowing trends in AI sector.
• Assess market sentiment for "madness of crowds" indicators.

Topics

• AI Bubble
• Stock Market Trends
• S&P 500
• Magnificent Seven
• Investor Sentiment
• Market Crashes

Best for: Investor, Consultant, Executive

Related on AIssential

• How the AI ‘bubble’ compares to history 🏛️ — Historical economic booms are driven by compelling technology and easy credit, leading to market bubbles that burst when financing tightens.
• Peak absurdity, Part II — Market euphoria can drive unsustainable valuations, often detached from fundamental financial realities or operational capacity.
• US AI stock sell-off shakes markets from Wall Street to Asia — Market concerns over AI valuations and debt-financed infrastructure spending triggered a global tech sell-off.
• The AI Industry Is Running Out of Time — The AI industry's IPO rush reflects a move to offload financial risk onto public markets amid unproven long-term viability and enterprise disillusionment.
• Rocky week for AI as shares slump but no sign of crash – yet — The AI market is undergoing a financial stress test, but significant year-to-date gains suggest it's not a bubble burst.
• 🔥 We checked. Again. Still no bubble. — The AI market's rapid growth in capabilities and revenue indicates a boom, not a bubble, despite rising capital expenditures.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by AI (artificial intelligence) | The Guardian.