Smartphones Getting Even Smarter In 2024 With Addition Of AI

The ability of smartphones to determine what might happen next based on previous patterns and datasets is becoming a necessary part of users’ experiences. Data provided by wired.com shows that specialty microprocessors that enabled AI were in just 3% of all smartphones in 2017 but that by 2020 more than 33% of the world’s 3 billion smartphones were equipped with processors conducting trillions of operations quickly and with less power – and AI is poised to play an even greater role in our smartphones in 2024 and beyond.

An original article by Lorimer Wilson, Managing Editor of munKNEE.com, Your KEY To Making Money!

Below is what some of the major manufacturers of smartphones have in the works for introduction in 2024:

• Lenovo (LNVGY), which owns Motorola, is developing an AI assistant for PCs (see here) and phones (see here) that learns from a user’s behavior and can accomplish tasks on one’s behalf, such as writing messages and scheduling tasks.
• Apple (AAPL) is developing a slew of AI upgrades (see here) for its family of products, including an effort to bring AI to the next major iPhone update, likely to be called iOS 18.
• Samsung Electronics (SSNLF), the world’s largest memory chip and smartphone maker, is launching its Galaxy AI S24 series this month (see here), with AI features such as translating phone calls in real-time, converting text into images and editing them.
• Google (GOOGL) has launched the “Pixel 8” smartphone (see here) which integrates generative AI, building on the success of Google’s ChatGT and Bart AI technologies.
• Huawei Technologies Co., whose smartphone business has been hampered by U.S. government restrictions since 2019, is executing a comeback with new devices (see here) that boast enhanced AI capabilities powered by large language models and are likely to have access to reported upcoming 5G chips made by domestic partners.

It’s important to note that the level of AI intelligence on smartphones is dependent on the chipset used. A faster chipset will enable the AI to make faster and more accurate decisions for users, while a slower chipset will result in slower learning and decision making for the AI. Go here for a ranking list of the top 100 smartphones with the best overall AI performance.