Nasdaq futures jumped more than two percent [1] on Thursday after chipmakers Micron Technology and Qualcomm issued optimistic forecasts for AI infrastructure demand [1].

The market reaction signals a shift in investor sentiment regarding the sustainability of artificial intelligence spending. After a period of uncertainty, these projections suggest that the demand for the hardware powering AI remains robust.

The surge in futures occurred on June 25, 2026 [2], as the industry leaders provided data indicating continued growth in the sector. Investors had previously expressed concerns that the massive capital expenditures required for AI infrastructure might outpace the actual returns on investment.

By releasing upbeat forecasts, Micron and Qualcomm addressed these fears directly. The reports suggest that the foundational layers of AI, specifically the memory and processing chips required for large-scale data centers, continue to see strong orders [1]. This stability in the supply chain provides a confidence boost to the broader technology sector, which often moves in tandem with these primary chip designers.

Market analysts said that the timing of these forecasts coincided with a period of high anticipation for economic data. While the market awaited further updates, the specific focus on AI infrastructure served as a primary catalyst for the upward movement of the Nasdaq futures [1].

The growth in these futures reflects a broader trend of reliance on semiconductor performance to gauge the health of the global digital economy. As these companies lead the production of critical components, their internal forecasts often serve as a bellwether for other tech firms dependent on the same hardware ecosystem.

“Nasdaq futures jumped more than 2%”

The positive reaction to the Micron and Qualcomm forecasts indicates that the market remains highly sensitive to 'AI fatigue.' By providing concrete evidence of sustained demand, these companies have temporarily countered the narrative that AI spending has peaked, suggesting that the build-out of physical AI infrastructure is still in a growth phase rather than a bubble burst.