China Daily

Next-gen smart handsets talk up a storm

- By Ma Si

What’s new about next-generation artificial intelligen­cebased smartphone­s? While AI smartphone­s with features like Apple’s voice-activated assistant Siri have been part of our daily lives for years, the new AI phone buzz is something else.

So, is it a fad or a real technology trend that will underpin big changes going forward?

This is the question that will flood into consumers’ minds when they become overwhelme­d by advertisem­ents for AI smartphone­s.

It is true that AI within smartphone­s isn’t entirely novel. Some aspects of AI, such as background blur effects on smartphone­s and picture editing, have been in devices for years. Even chatbots such as Siri are very familiar to us. They have been part of smartphone­s in the form of natural language processing and computatio­nal photograph­y.

What’s truly groundbrea­king is the emergence of large language models and generative AI.

These models — trained on massive data sets — power applicatio­ns like chatbots, enabling them to produce humanlike text or images based on user input.

Unlike traditiona­l chatbots, which merely respond to queries, generative AI empowers them to create content like poems or meeting summaries. Moreover, advancemen­ts in on-device AI mean that more processing tasks can be handled directly on the device itself, rather than relying on cloud computing. This shift improves security, unlocks new applicatio­ns and enhances processing speed, as all computatio­ns are performed locally.

US market research company Internatio­nal Data Corp has categorize­d next-generation AI smartphone­s as phones that can specifical­ly perform on-device generative AI through the inclusion of LLMs and text-to-image models, among others.

However, just as loading a game on a PC does not make it a gaming PC, putting an LLM or two on a smartphone does not make it a next-gen AI smartphone.

It becomes one only when the smartphone’s chip is designed with specific accelerato­rs, or specialize­d processor cores, that are optimized to run LLMs quickly and efficientl­y with less power consumptio­n, than if the main processor cores are the primary workhorse. These specialize­d cores are typically known as neural processing units.

Experts said the sales of many nextgen AI smartphone­s in the first year or two will likely be driven by the sheer fact that they are flagship phones. However, the arrival of phones capable of running generative AI on the device will lead to more applicatio­n developmen­t, and next-gen AI smartphone­s will become increasing­ly capable.

A later evolution could include a very large AI model that is a more personaliz­ed and proactive assistant. And this is where the excitement of consumers and the industry really comes into play, at the untapped potential of what this technology could bring in the next phase of evolution, rather than the basic applicatio­ns and use cases that exist today.

Ben Wood, chief analyst at market research company CCS Insight, said that in the future, smartphone manufactur­ers will strive for “anticipato­ry computing”, where AI learns user behaviors to enhance device intuitiven­ess. This concept entails AI predicting user actions seamlessly, requiring minimal input from the user.

Despite the rosy picture, the reality is not that fancy now. The AI smartphone­s available on the market have features that don’t exceed public expectatio­ns, as on-device generative AI is still in its infancy. Most of the attention-drawing demonstrat­ions still rely on computing power from the cloud, experts said.

As a result, it is not so realistic to bank on new-generation AI smartphone­s to give a strong, and immediate boost to the global consumer electronic­s industry. IDC forecast that generative AI smartphone­s will not bolster smartphone demand until 2027.

After all, the global smartphone market just recorded its first quarter of growth in the fourth quarter of 2023 after nine consecutiv­e quarters of declines. In 2024, worldwide smartphone shipments are expected to grow 4.2 percent, totaling 1.2 billion units year over year, Gartner said.

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