Artificial Intelligence (AI) has become the technological term of the moment, and everyone wants to take advantage of the trend. And computer manufacturers are not immune to it.
All major assemblers, as well as most component manufacturers, want to boast about offering a computer with AI. And as tech giants like AMD, Intel, Nvidia and Qualcomm introduce AI-optimized chips, the concept of AI PCs is gaining momentum.
But what differentiates these teams from conventional ones? Is it worth investing in a PC with AI today, or is it better to wait? In this article we explain everything you need to know to make the best decision.
What makes a PC AI ready?
A PC with AI is not differentiated only by its power, but by having specific components to execute AI-related tasks more efficiently. Among the characteristics that define them are:
Neural Processing Unit (NPU)
NPUs are specialized components designed to run AI workloads such as speech recognition, real-time translation, virtual assistants and multimedia content editing.
These units focus on fast operations with lower power consumption, allowing equipment to run longer without overheating.
Models such as Intel’s Lunar Lake or AMD’s Ryzen AI have incorporated NPUs alongside traditional CPUs and GPUs, distributing tasks more efficiently to improve both the performance and autonomy of the equipment.
Support for Copilot+ and other AI services
Companies like Microsoft have launched PCs with AI under the Copilot+ brand, which integrate software and hardware specifically prepared for intelligent assistants.
These computers offer advantages in applications such as text generation and automated task customization.
TOPS (trillion operations per second):
PCs with AI are also measured by their processing capacity, expressed in TOPS. Models from AMD, Intel, and Qualcomm are offering processors that reach up to 50 TOPS, allowing AI algorithms to run in the background continuously and efficiently.
What are AI PCs for?
While the promise of AI in computers is exciting, it is important to know what real-world applications these devices have today:
- Advanced virtual assistants: AI-enabled PCs allow assistants like Microsoft Copilot to respond faster and personalize their interactions based on the user.
- Enhanced multimedia editing: Content creators can benefit from automatic video editing, image enhancement, and real-time transcription tools.
- Real-time translation and subtitles: NPUs facilitate simultaneous translation in video calls or when consuming multimedia content.
- Advanced cybersecurity: Some models analyze behavior patterns in real time to detect threats or suspicious activities without compromising privacy.
- Improved video calls: AI algorithms optimize video quality, eliminate background noises and automatically adjust lighting in calls.
Featured chips and CPUs with AI capabilities
Since 2023, we have seen the list of CPUs and chips relevant to AI PCs begin to grow. This is the highlight of the current market:
Intel Core Ultra (Meteor Lake)
Intel Core Ultra (Meteor Lake) processors are the first generation of Intel mobile processors to feature NPUs.
Launched on December 14, 2023, these processors are designed to deliver superior performance and power efficiency, ideal for mobile and laptop devices.
They incorporate advanced graphics cores and artificial intelligence technologies. However, expectations are set on the new generation, Lunar Lake, which has already begun to arrive and is significantly more powerful in AI.
Intel Lunar Lake
This family of CPU processors with NPU integration for AI is specially designed for Copilot+ devices. It provides 48 TOPS of AI power and promises up to 4x performance compared to the previous generation.
AMD Ryzen AI 300 Series
The AMD Ryzen AI 300 Series is designed to improve business productivity with advanced artificial intelligence capabilities. Equipped with Zen 5 and XDNA 2 architecture, these processors offer up to three times the AI performance of the previous generation.
AMD Ryzen AI 8000 Series
The AMD Ryzen AI 8000 Series is AMD’s latest and most advanced, designed to deliver the best AI and graphics performance. These processors are optimized for gaming and content creation applications, with a 4nm architecture and next-generation AI processing technologies.
Qualcomm Snapdragon X (Elite and Plus)
Qualcomm Snapdragon
These processors are optimized for advanced graphics and artificial intelligence applications, providing a smooth and powerful user experience. They are ideal for laptops that require robust performance and long battery life.
Throughout the rest of 2024 and throughout 2025, we will see more models with these features as manufacturers compete to capture market share in this new generation of PCs.
What can we expect in the future?
In the coming years, AI in computers will establish itself as an essential tool for many daily tasks.
In the short term, AI computers will feature more powerful and efficient processors with more Neural Processing Units (NPUs), designed to handle heavy AI workloads with low power consumption.
All this power can be used, for example, to train intelligent assistants that are capable of performing more complex tasks, such as automatic meeting summaries or real-time event scheduling.
PCs with AI will be able to offer more personalized and adaptive experiences, learning from the user’s habits and preferences to improve productivity.
In a few years, NPUs will allow large language models to be used directly on the device, without having to depend on the cloud.
NPU or GPU? Which is better for AI?
One of the most common questions among users is whether a dedicated GPU would not be sufficient for AI tasks. Below, we clarify the differences:
GPUs are very powerful and are used for heavy workloads, especially in graphics and gaming applications. They can also run AI, but at a higher energy cost. Additionally, GPUs are often oversized for simple AI tasks such as real-time translation.
NPUs are specifically designed to handle AI models efficiently. They are ideal for AI tasks that run continuously in the background, such as virtual assistants or real-time subtitling, as they consume less power than GPUs.
Therefore, if graphics performance is the priority (such as in gaming), a GPU is still the best option. However, if your focus is on practical AI applications, a PC with NPU will be more efficient.
Is it worth investing in a computer with AI now?
If your needs include tasks such as content generation, multimedia editing or intelligent assistants, a PC with AI will save you time and improve productivity.
According to experts, many companies will still take between 18 and 24 months to adopt these technologies massively. This means that prices could be more affordable in the future.
However, few current applications are optimized to take advantage of NPUs, so you may not see a big difference in everyday use just yet.
This will change as more developers adopt this technology and find practical applications for the new capabilities.
Is it better to wait?
It will depend on your current needs and how long you can afford to wait. If you need to renew your equipment in the short term and want to be prepared for the future, a PC with AI can be a good investment.
However, if your current equipment is still performing well, you could wait a year or two to find more options on the market at better prices and with greater technological maturity.
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