The future of artificial intelligence won't be decided in massive data centers, but on the devices in your pocket, car, and factory floor. That's the bold claim Qualcomm CEO Cristiano Amon has been making at major tech conferences, and his company's recent product launches suggest he's betting billions on it. While Wall Street remains fixated on cloud computing and data center chips, Qualcomm is quietly building what may be one of tech's most underappreciated platform businesses, spanning personal computers, automobiles, robots, and industrial systems .

What Does Running AI Locally Actually Mean for Users?

When an artificial intelligence model processes your request on your laptop instead of sending it to a distant server, something fundamental changes. You get faster responses because there's no round trip to the cloud. Your personal data stays on your device, eliminating privacy concerns about what information leaves your computer. And you avoid paying cloud computing bills for every interaction. Amon describes this shift as making the user interface more human-centric, where your device learns your context, habits, and intent in real time without relying on external servers .

This isn't theoretical speculation. At CES 2026, Qualcomm unveiled the Snapdragon X2 Elite and X2 Plus processors for personal computers, chips explicitly designed to run artificial intelligence agents locally. These processors deliver 85 TOPS, or tera operations per second, of on-device computing power. Industry analysts now project that laptops built around Arm Holdings' central processing units, the category where Snapdragon X dominates, could capture 20 percent to 25 percent of the total market of machines running Microsoft Windows by the end of 2027 .

How Is Qualcomm Expanding Beyond Smartphones?

Most people still associate Qualcomm with smartphone chips, but the company's growth story is spreading across multiple industries. Consider these three major expansion areas:

• Personal Computers: The Snapdragon X2 Elite and X2 Plus processors represent a significant push into the PC market, where Qualcomm aims to compete directly with Intel and Advanced Micro Devices in the Windows ecosystem.
• Robotics: Qualcomm unveiled the Dragonwing IQ10 Series, a processor designed as the "brain of the robot" for industrial autonomous mobile robots and humanoid robots. In March, the company signed a long-term collaboration with Neura Robotics to develop reference architectures for next-generation humanoid robots.
• Automotive: Qualcomm's automotive revenue hit 1.1 billion dollars in its fiscal 2026 first quarter, up 15 percent year over year. More importantly, the company's automotive design-win pipeline, which represents contracts already signed but not yet generating revenue, now stands at 45 billion dollars.

Design wins are critical to understanding Qualcomm's future. These deals represent commitments from automakers to use Qualcomm silicon in vehicles that won't reach dealerships for two or three years. By fiscal 2029, Qualcomm is targeting 22 billion dollars in combined automotive and Internet of Things revenue .

"The AI race will be won at the edge, where devices, data, and users converge," Amon stated at Web Summit 2026 and Davos 2026.

Cristiano Amon, CEO at Qualcomm

The company's confidence in this strategy is evident in its financial decisions. Despite Qualcomm stock declining 25 percent year to date as of early April, the company authorized a new 20 billion dollar share buyback and increased its quarterly dividend from 0.89 dollars per share to 0.92 dollars per share .

Why Is Wall Street Still Undervaluing This Shift?

As of early April, Qualcomm trades at around 125 dollars per share, roughly 22 percent below the consensus analyst price target. Its forward price-to-earnings ratio sits around 12, below that of most artificial intelligence-focused chip stocks. Yet the company delivered record first quarter fiscal 2026 revenues in automotive and Internet of Things alongside 24 percent year-over-year earnings per share growth .

The disconnect appears to stem from how investors categorize Qualcomm. The market still prices it primarily as a smartphone chip company with artificial intelligence exposure, when it's increasingly becoming an edge artificial intelligence infrastructure play across personal computers, robots, cars, and industrial devices. This misclassification may explain why a company executing well on multiple growth fronts trades at a discount to its peers.

Real risks do exist. Qualcomm's biggest revenue source remains the smartphone market, which is maturing. Apple is developing its own modems, which could reduce Qualcomm's smartphone business. Competition in the personal computer central processing unit space from Intel and Advanced Micro Devices is intensifying. If the timelines for humanoid robot adoption or automotive artificial intelligence rollouts prove overly optimistic, the ambitious pipeline figures could face pressure .

But the fundamental thesis remains compelling. The shift toward running artificial intelligence on local devices rather than in the cloud represents a structural change in how computing will work. Qualcomm sits at the center of this transition, with products and partnerships spanning the industries most likely to benefit from edge artificial intelligence. Whether the market eventually reprices the company to reflect this reality remains to be seen, but the evidence suggests Amon's bold claims about the future of artificial intelligence may be closer to correct than Wall Street currently assumes.