US technology stocks rout reverses after Broadcom AI guidance miss
US technology stocks rebounded after a $1.3T single-day rout tied to AI-chip guidance. On June 4, Broadcom reported fiscal Q2 results, but its Q3 forecast projected AI chip sales of $16B versus $17.2B expected. The company also kept its fiscal 2027 long-term revenue forecast (over $100B) unchanged. Broadcom shares fell more than 12%, and the selloff spread across semiconductors as the sector became tightly linked to the AI trade narrative.
In commentary, Nvidia CEO Jensen Huang described the decline as an “AI buying chance,” arguing that long-term AI compute demand remains intact even if quarterly expectations soften. Rising bond yields added pressure by reducing the present value of future earnings, which typically hurts high-multiple growth stocks. By mid-to-late June, semiconductor and stock futures showed signs of stabilization, with some investors viewing the dip as an entry point into AI.
Crypto reacted too. Bitcoin fell to around $62,300 (about -2.5%) as risk appetite cooled across assets. AI-adjacent tokens were hit harder: FET, RENDER, and TAO each declined roughly 3% to 5% by June 23, reflecting how crypto valuations tied to the AI theme can move in tandem with broader tech sentiment.
Keywords: US technology stocks, AI chip guidance, semiconductor selloff, bond yields, Bitcoin.
Neutral
US technology stocks experienced a catalyst-driven drawdown (Broadcom’s AI chip sales and unchanged long-term revenue forecast), but the article also highlights a potential stabilization and a “buying chance” narrative from Nvidia’s CEO. For traders, that typically creates a two-sided setup: short-term volatility stays elevated due to earnings/guidance revisions and macro factors like rising bond yields, while longer-term positioning may gradually re-emerge if investors believe AI demand is intact.
Historically, similar “guidance shock” events in semiconductors often trigger rapid de-risking across correlated equities/ETFs, followed by a partial rebound once the market reassesses that the underlying demand trend (here, AI compute) remains durable. However, crypto—especially AI-adjacent tokens—tends to price risk sentiment quickly, so stabilization in equities may take time to transmit to the digital-asset tape. Net effect: cautious/neutral bias, with watchpoints on yield direction, semiconductor earnings revisions, and follow-through in BTC and AI token liquidity.