Artificial intelligence trends expected to spread in 2025

Artificial intelligence trends expected to spread in 2025

In light of the increasing trend towards artificial intelligence, whether through development or use

As the end of the year approaches, and the global trend towards artificial intelligence increases, whether through development or use, it is important to know some of the trends related to artificial intelligence that are expected to spread next year.

A report published by the South China Morning Post newspaper, and reviewed by Al Arabiya Business, included the most prominent trends expected for artificial intelligence in 2025.

Virtual shopping assistants

When we are hesitant about what we want to buy in a store, we simply seek help from the store employees to help us by advising us of the most appropriate product according to their experience in that field. This is the job of the virtual shopping assistant.

The job of a virtual shopping assistant is to guide us on which products are best for us while shopping online. This is done by asking him questions about what we want to buy or the best product for a problem we are suffering from.

This is the idea behind ‘Rufus’, for example, a virtual purchasing assistant launched by Amazon earlier in 2024. The advantage of ‘Rufus’ is that shoppers can conduct a mutual dialogue with it until they reach satisfactory answers.

The virtual purchasing assistant relies on asking the shopper questions – as happens in real stores – to help understand the shopper’s needs and preferences, which would increase the shopper’s confidence and thus lead to increased sales.

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Virtual experience of products

Shopper confidence is hampering online sales especially in sectors like fashion. Shoppers’ inability to imagine how suitable the product is for them causes them to refrain from purchasing, or they may resort to purchasing different forms of the product and then return what does not suit them.

Generative AI has opened up the possibility for shoppers to try on products virtually. This can be achieved by collecting two pictures. For example, you can combine a picture of a person and the sweater he wants to buy, or a picture of a chair and a picture of a living room to see how each one fits together.

AI models such as ‘Stable Diffusion’ for example are used to combine images, showing shoppers what to expect and increasing their purchasing confidence. Therefore, retailers who sell clothing, accessories, furniture, or other products whose fit needs to be visualized should take this possibility into account.

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Artificial intelligence agents

An AI agent can take on a role to achieve a goal at work. It is able to interact with its environment, collect data, and use the data to perform specific tasks to achieve pre-defined goals.

Humans set the goals or tasks they want AI agents to accomplish, but the AI ​​agent independently chooses the best path to achieve those goals.

Therefore, you can consider AI agents to be members of a team.

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