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Wall Street’s Most Bearish S&P 500 Call: 5,000 by 2027 on AI Trade Unwind

Panmure Liberum's Joachim Klement predicts the S&P 500 will end 2027 at 5,000, a 36% drop, warning that unwinding the AI trade could spark the worst crash since 2008. The call has significant implications for crypto markets increasingly correlated with AI-linked tech stocks.

Panmure Liberum’s Joachim Klement Warns of Worst Crash Since 2008

Panmure Liberum’s head of market strategy, Joachim Klement, has issued the most bearish S&P 500 call on Wall Street, projecting the index will end 2027 at 5,000 points. That target implies a roughly 36% decline from current levels and would mark the worst crash since the global financial crisis. Klement’s thesis hinges on a single chart signal: the unwinding of the artificial intelligence trade as borrowing costs close in on the AI build-out.

The AI Trade and Its Fragility

The AI-driven rally has been the dominant force in US equities, with a handful of mega-cap technology names accounting for a disproportionate share of index gains. Klement argues that this concentration has created a fragile market structure. As interest rates remain elevated, the cost of financing the massive capital expenditure required for AI infrastructure—data centers, chips, and energy—is rising. When borrowing costs approach or exceed the expected returns on these investments, the economics of the AI build-out begin to deteriorate.

This dynamic is not isolated to equities. The crypto market has become increasingly correlated with AI-linked tech stocks, particularly as blockchain projects pivot toward AI compute, decentralized GPU networks, and on-chain AI agents. A sharp unwinding of the AI trade would likely spill over into digital assets, pressuring token prices and forcing a reassessment of valuations in AI-adjacent crypto sectors.

Chart Signal and Market Implications

The chart signal Klement references is believed to be a momentum divergence or a breakdown in the ratio between AI leaders and the broader market. Such technical warnings have preceded major reversals in the past. If the signal confirms, it could trigger a cascade of selling as momentum funds and retail investors rush to exit crowded positions.

  • Equities: A 36% drop would erase trillions in market capitalization, hitting pension funds and retail portfolios hard.
  • Crypto: Correlated assets, including Bitcoin and AI-themed tokens, could see amplified drawdowns due to higher volatility and leverage.
  • Macro: A crash of this magnitude would likely force central banks to reconsider rate paths, potentially reversing tightening cycles.

Forward-Looking Perspective

While Klement’s target is an outlier, it underscores growing unease about the sustainability of the AI-driven bull market. Investors should monitor credit spreads, capital expenditure guidance from major tech firms, and the cost of borrowing for AI infrastructure projects. In crypto, projects with real revenue and sustainable tokenomics may weather the storm better than speculative AI narratives. The coming quarters will test whether the AI trade can adapt to a higher-for-longer rate environment or whether Klement’s chart signal proves prescient.

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