#QualcommAndArmEarningsInFocus

AI'S NEXT BATTLE. ARM Owns the Architecture Story, While Qualcomm Is Fighting for the Edge AI Market.

The semiconductor industry is entering a phase where AI growth is no longer limited to powerful data-center processors. Intelligence is moving into smartphones, personal computers, automobiles, and connected devices. This shift makes the upcoming earnings reports from ARM and Qualcomm particularly important because both companies are positioned to benefit from AI expansion, but their business models offer very different opportunities.

ARM represents the infrastructure side of this transformation. Its architecture is used across a broad ecosystem of semiconductor manufacturers, technology companies, and cloud providers. Instead of depending entirely on selling finished chips, ARM primarily generates revenue through intellectual property licensing and royalties on chips built using its technology.

That business model gives ARM an interesting position in the AI economy. As more companies adopt Arm-based computing platforms, demand for its architecture, licensing agreements, and royalty-generating technologies can expand.

Its latest reported first-quarter fiscal 2027 results provide evidence of this momentum. Revenue reached $1.289 billion, increasing 22% year over year. Licensing revenue grew 23% to $574 million, while royalty revenue increased 22% to $715 million. Most importantly, data-center royalty revenue more than doubled compared with the previous year.

This suggests that ARM's growth opportunity is expanding beyond its traditional smartphone business. AI data centers require more than GPUs. CPUs also play important roles in workload scheduling, data movement, orchestration, and general-purpose computing. Arm-based server processors are becoming increasingly relevant as cloud providers look for performance and energy efficiency.

However, ARM is not without risks. Licensing revenue can fluctuate depending on the timing and size of major agreements. Its new AGI CPU initiative also introduces a different business dimension, and its ability to convert development and customer interest into sustained commercial shipments remains important to watch.

Qualcomm represents a different side of the AI opportunity.

Its strength comes from combining CPU, GPU, NPU, connectivity, and software into integrated computing platforms. Snapdragon processors already have an established position in smartphones, while the company is expanding into PCs, automotive systems, and connected devices.

The opportunity is particularly interesting as AI processing moves directly onto consumer devices. Qualcomm's Snapdragon 8 Elite Extreme Gen 6 supports running advanced mixture-of-experts models with more than 30 billion parameters locally, according to the company's announcement. This demonstrates the direction of its on-device AI strategy, although actual performance depends on model architecture, memory, and device implementation.

Qualcomm's latest published third-quarter fiscal 2026 results show both the opportunity and the pressure.

Total revenue reached $9.9 billion. However, handset revenue declined 20% year over year to $5.086 billion. Automotive revenue increased 61% to $1.588 billion, while IoT revenue grew 9% to $1.830 billion. Together, automotive and IoT revenue increased approximately 28%.

This diversification is important because Qualcomm needs additional growth engines beyond its traditional smartphone business. Automotive computing, connected devices, AI-enabled PCs, and data-center opportunities could gradually change its revenue mix.

The main challenge is execution. Smartphone demand remains a significant influence on Qualcomm's financial performance, while its newer markets need to generate enough scale to offset weakness in its established business.

The Relationship Between ARM and Qualcomm Is Also Important.

These companies should not be viewed as completely separate competitors. Qualcomm's custom Oryon CPU technology uses the Arm instruction-set architecture under licensing arrangements. This means Qualcomm's product development can also contribute to demand within ARM's broader technology ecosystem.

ARM benefits from the adoption of its architecture across multiple chipmakers, while Qualcomm attempts to capture more value by developing and selling integrated semiconductor platforms.

That creates an interesting difference in investment exposure. ARM offers participation in a broader architecture and licensing ecosystem, whereas Qualcomm offers more direct exposure to the commercial success of its processors and connected-device platforms.

What I Will Be Watching in These Earnings Reports

For ARM, the important indicators will be royalty growth, licensing revenue, data-center adoption, Armv9 and compute subsystem demand, and management's outlook for AI infrastructure. I will also pay attention to the progress of its AGI CPU strategy.

For Qualcomm, handset revenue trends, automotive growth, IoT performance, operating margins, and the company's diversification strategy deserve close attention. Its ability to turn on-device AI demand into stronger commercial revenue will be particularly important.

My assessment is that ARM offers broader exposure to the long-term adoption of its computing architecture, while Qualcomm has a more direct opportunity to monetize AI features across consumer and industrial devices. Neither business is immune to valuation risk, competitive pressure, or changing semiconductor demand.

If I were comparing the two for a long-term AI investment thesis, ARM would receive my attention because of its licensing and royalty ecosystem. Qualcomm remains an important company to monitor for the potential expansion of edge AI and its growing non-handset businesses.

The bigger opportunity may not belong to the company making the most powerful chip, but to the companies that become increasingly essential as AI spreads across every layer of computing.

$ARM $QCOM