The silicon economy is beginning to terrify those financing it. On November 3, 2026, at the HKMA investment summit in Hong Kong, executives from top funds (Blackstone, Goldman Sachs, JPMorgan) voiced a chilling consensus: the technology sector is detaching from reality. According to S&P projections, just six US hyperscalers will sink over $7 trillion into data centers by 2030 (with around $730 billion spent in 2026 alone).
Institutional capital is sounding the alarm. The astronomical CAPEX for AI infrastructure is bloating debt loads and threatening the stability of national power grids, all while the return on investment (ROI) remains a mirage. Financiers are warning of an imminent and brutal correction: if B2B monetization of neural networks fails to generate hundreds of billions in pure profit, the data center bubble will collapse. The repricing of the tech sector will choke off AI labs' access to cheap debt, triggering a cascading wave of bankruptcies among cloud infrastructure operators.
Sources: Reuters | South China Morning Post
$7 Trillion Bubble: Global Financiers Terrified by the Scale of AI Infrastructure
