AI Marketing in CPUs: More Hype Than Substance?

Artificial intelligence has taken center stage in tech marketing lately, especially when it comes to CPUs. At Social Gains, we’ve noticed this trend and want to provide some perspective on what it really means for consumers.

The Rise of AI Marketing in Processors

CPU makers like AMD, Intel, and Qualcomm have been heavily promoting the AI capabilities of their latest chips. New features like neural processing units (NPUs) are being added to accelerate AI workloads. Laptop manufacturers are touting “AI-powered” devices that can run assistants like Microsoft’s Copilot.

But how much of this actually translates to meaningful benefits for most users? Let’s break it down.

CPU Performance vs. GPU Performance for AI

When it comes to AI processing, there’s a massive gap between what CPUs and GPUs can do:

• High-end CPUs like the AMD Ryzen 9 7900X score around 56 in UL’s Computer Vision inference test
• A GPU like the Nvidia RTX 4080 Super scores over 2,100 – nearly 40 times higher

The parallel processing power of GPUs makes them far better suited for AI workloads. CPUs simply can’t compete when it comes to AI performance.

Most AI Still Relies on the Cloud

Another key factor is that the most popular AI tools today require cloud computing to function:

• Large language models like ChatGPT and Google Gemini are too resource-intensive to run locally
• Even Adobe’s AI features in Photoshop rely on cloud processing

The AI capabilities of your local CPU often don’t come into play for these cloud-based services.

Where Local AI Processing Matters

There are some areas where on-device AI makes a difference:

• Graphics upscaling technologies like Nvidia DLSS and Intel XeSS
• Some AI image generation tools that can run locally

But for most popular AI applications, the processing happens in the cloud rather than on your device.

The Bottom Line

While AI capabilities in CPUs are improving, the impact for average users is often overstated. GPU and cloud computing remain far more important for AI performance in most cases.

At Social Gains, we believe in looking past the marketing hype to understand the real-world benefits of new technologies. When it comes to AI in CPUs, those benefits are still quite limited for most users.

What This Means for Consumers

As you evaluate new devices, keep in mind:

• Don’t be swayed by vague “AI-powered” marketing claims
• For serious AI work, a powerful GPU is far more important than CPU AI features
• Cloud-based AI services will run similarly regardless of your local CPU

Focus on the overall performance, efficiency, and features that matter most for your specific needs. The AI capabilities of CPUs, while improving, are not yet a make-or-break factor for most users.

We’ll continue monitoring developments in AI hardware at Social Gains to keep you informed on what really matters. Let us know if you have any questions about how AI is impacting computing technology!