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Nvidia targets AI PCs with RTX Spark chip; Intel, AMD and Qualcomm down

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Intel (INTC), AMD and Qualcomm stocks fell Monday after Nvidia unveiled its new RTX Spark chip for PCs, designed to run AI agents directly on personal devices.

The announcement challenges Intel and AMD’s long-standing dominance in the PC processor market, while increasing competition for Qualcomm as it expands its lineup of AI-focused processors.

Around 10:25 a.m., Intel stock fell more than 4%, while AMD lost more than 3%.

Qualcomm led the declines, losing more than 6%. All three stocks had recovered somewhat from the steeper losses seen earlier in the session.

The price drop followed Nvidia’s announcement at Computex in Taiwan, where CEO Jensen Huang outlined the company’s new offensive beyond data centers into consumer computing.

RTX Spark is designed to bring advanced AI capabilities directly to personal devices, allowing AI agents to perform tasks locally rather than relying entirely on cloud infrastructure.

The move places Nvidia more directly against traditional PC processors leaders Intel and AMD, while increasing competition with Qualcomm, which has invested heavily in AI-focused processors for Windows devices.

S’étendre au-delí des centers de données

Nvidia already sells the DGX Spark workstation, a desktop system aimed at AI engineers and selling for $4,699.

The recently revealed RTX Spark chip, however, targets mainstream personal computers, likely in the high-end segment.

The company said it is working with major PC makers including Microsoft, Dell and HP, planning about 30 laptop models and 10 desktop models equipped with the chip.

RTX Spark-equipped systems are expected to begin shipping this fall from manufacturers including ASUS, Dell, HP, Lenovo, Microsoft and MSI, with Acer and Gigabyte adding later.

The announcement reflects Nvidia’s broader effort to extend its dominance in AI computing beyond servers and data centers to everyday devices.

“One hundred percent of the global PC industry has joined us to reinvent the PC,” Huang said during his keynote speech.

PC makers are increasingly betting that AI features will entice consumers and businesses to renew their devices as generative AI becomes more integrated into everyday workflows, from writing emails to research and project planning.

This trend is already starting to be reflected in sales data.

HP said last month that AI-enabled PCs accounted for 44% of its PC shipments in the second quarter, up from more than 35% in the previous quarter.

Pressure mounts on competitors

The announcement was particularly notable for Intel, whose x86 architecture has long dominated the PC market.

Independent analyst Richard Windsor said Nvidia’s presentation sent a strong message to established competitors.

“It was a better than average opening speech from Jensen, with many new announcements, while keeping his rivals in their place,†Windsor wrote on his Radio Free Mobile blog.

“At the top of this list is Intel, whose x86 architecture has been effectively called obsolete in both data centers and the PC, both of which are Intel’s key markets. HAS”

AMD also faces potential challenges if Nvidia succeeds in attracting high-end laptop buyers, content creators and developers seeking powerful local AI capabilities to complement traditional computing performance.

Although Nvidia’s architecture is based on Arm technology rather than x86 processors, analysts say the company could still erode AMD’s position in the high-end laptop market if adoption gains momentum.

The move also intensifies competition with Qualcomm, which is promoting its Snapdragon-powered Copilot+ PCs as a platform for on-device AI processing.

Adoption remains the main challenge

Despite the excitement around AI PCs, questions remain about how quickly consumers will adopt this category.

Research firm IDC forecasts a decline in global PC shipments in 2026 due to memory shortages, rising component costs and broader supply constraints, even as average selling prices rise.

DigiTimes analyst Jason Tsai warned that Nvidia’s success may depend less on technology and more on price levels.

“The hardest question is not whether RTX Spark is technically ambitious, but whether it can become a product that people actually buy in volume,” Tsai said.

According to Tsai, full RTX Spark-equipped systems may need to hit the $1,500 mark to surpass a niche audience.

Above this level, the product risks remaining a showcase rather than becoming a mainstream alternative.

This broader ambition reflects Apple’s success with Apple Silicon, which demonstrated how close integration of hardware and software could reshape the laptop industry.

Nvidia is now trying to apply a similar model to the Windows ecosystem.

How consumers embrace this vision at scale could determine whether RTX Spark becomes a disruptive force or just another high-end AI computing platform.