The global technology sector is experiencing a significant market correction, and deVere Group CEO Nigel Green believes it’s exactly what investors need right now. Rather than viewing the widespread sell-off as a crisis, Green has characterized the ongoing market rout as a necessary “reality check” and a “cold shower” for artificially inflated artificial intelligence valuations that have dominated investor sentiment for the past two years.
The sell-off has been particularly brutal in semiconductor and AI-focused stocks, with major markets from Asia to Europe to Wall Street all experiencing sharp declines. South Korea’s tech-heavy Kospi index plunged sharply, dragging major semiconductor manufacturers down by double-digit percentages. This broader market turbulence signals a fundamental shift in how investors are reassessing the technology sector and the massive capital commitments being funneled into artificial intelligence infrastructure.
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For months, market participants treated artificial intelligence spending as an unquestionably positive force, with investors rewarding companies for announcements of multi-billion-dollar infrastructure investments without demanding concrete evidence of returns. That dynamic has shifted dramatically. Investors are increasingly questioning whether the enormous sums being committed to AI infrastructure by technology giants will actually generate sufficient earnings growth to justify current stock valuations. Major companies have committed hundreds of billions of dollars to AI-related spending, from data centers and semiconductor chips to software and cloud infrastructure, yet the profitability equation remains uncertain.
Green emphasizes that the market is not entering crisis territory but rather undergoing a necessary reassessment of fundamental assumptions. “This is bigger than just tech,” he notes, pointing out that the market is beginning to challenge a whole series of beliefs that have supported valuations across multiple sectors. These include assumptions about sustained growth trajectories, smooth interest rate environments, and the speed at which artificial intelligence will transform corporate earnings.
The underlying issue is structural concentration risk. The S&P 500, widely perceived as a diversified market benchmark, has become increasingly dominated by a narrow group of mega-cap technology companies. Big Tech now accounts for 32 percent of the index, while Communications Services including Meta and Alphabet represent another 9.6 percent, meaning these two sectors alone comprise over 41 percent of the index. The top ten companies represent nearly 40 percent of the index’s total market capitalization, a concentration level that exceeds even the dot-com bubble peak of 2000.
Green’s perspective offers important perspective on current market dynamics. While he acknowledges that artificial intelligence growth stories and corporate earnings are fundamentally real, he stresses that current pricing does not always reflect justified valuations. Some leading companies are trading on overly optimistic expectations that a single disappointing earnings report could quickly unravel given the concentrated leadership structure.
Rather than advising investors to abandon technology exposure entirely, Green recommends portfolio rebalancing and diversification across sectors and asset classes. The shift from momentum-driven market sentiment to earnings-focused discipline may prove uncomfortable for growth investors, but it represents a healthier, more sustainable foundation for long-term wealth creation. As markets continue to digest the implications of sky-high artificial intelligence valuations, this reality check may ultimately prove beneficial for market stability and investor outcomes.
