2026 AI Boom or Bust: Volatility & Opportunities

AI Disruption Dynamics

Global equities entered 2026 amid heightened volatility, driven by artificial intelligence's shift from hype to real-world disruption. In early February, US markets experienced dramatic swings, with the S&P 500 constituents down an average of 10.6% year-to-date for losing stocks, compared to 5.9% the prior year. This turbulence stemmed from concerns over AI overspending, coinciding with disappointing labor indicators on February 5, where fears of excessive capital expenditures by firms like Alphabet—doubling AI investments from 2025—sparked investor doubts.

The narrative has evolved from bubble fears to broader disruption risks. Advanced AI models, such as those from Anthropic, have accelerated selloffs in software stocks, with agentic AI tools prompting a 'sell now, ask questions later' mentality. This has spilled into private credit markets, where loan prices dropped due to opacity and amplified pessimism, affecting syndicated loans in software sectors. Meanwhile, AI infrastructure expansion is blamed for surging electricity bills, with a Morgan Stanley report on February 18 noting increased public blame on data centers.

Concrete stakes are mounting. Hyperscalers' capital expenditures reached 1.3% of US GDP last year, forecast to rise to 1.6% in 2026, per GMO estimates. If returns falter— as a July 2025 MIT study suggested only 5% of generative AI pilots boosted revenue—defaults could emerge by 2027-2028 as leases renew. Nvidia's upcoming earnings, expected around late February, could catalyze further swings, especially amid potential US strikes on Iran adding geopolitical layers.

Non-obvious trade-offs include the diffusion of AI impacts across industries, creating winners like AI enablers (Nvidia, AMD) and losers in traditional models. Circular financing between AI providers and users artificially boosts revenues, vulnerable to rate adjustments. Additionally, AI sovereignty pushes countries toward independence from US dominance, while productivity lags—despite booming capex—highlight mismatches between technological progress and economic gains. Tensions between stakeholders, such as banks warning of overvaluation (Bank of England, IMF) and optimistic CEOs (Sam Altman, Sundar Pichai), underscore the fragility.