Recent market corrections have driven trader sentiment on an AI bubble burst, with Alphabet and Amazon shares plunging over 12% in late October amid reports of negative free cash flow from massive AI infrastructure spending. Hyperscalers including Microsoft and Meta have committed hundreds of billions in capex, often funded by debt, while neocloud providers like CoreWeave face borrowing costs exceeding 15% amid investor doubts over returns. The IMF highlighted risks of a broad correction if monetization lags high compute expenses and thin enterprise margins. Upcoming quarterly earnings and any shifts in guidance on AI revenue growth could further test whether current valuations reflect sustainable large language model adoption or speculative positioning.