Will Apple partner with DeepSeek? Here's how it could be a good move and benefit the iPhone maker

While the emergence of DeepSeek has eventually shaken up the AI landscape, at the same time, various analysts have suggested that it could indirectly benefit the tech company Apple, reported Fast Company. Apart from that, one potential advantage lies in the desire of Apple to bring the Apple Intelligence to China which is actually its second largest market.

According to Fast Company, partnering with DeepSeek could eventually provide a solution to navigate the stringent AI regulations of China. Integrating the technology of DeepSeek into Apple Intelligence on iPhones in the country China could eventually offer performance benefits.

The models of DeepSeek can actually run on less powerful chips and use less energy while aligning with Apple's preference for on device computing.


The local popularity of DeepSeek could also boost the sales of Apple in China as the Chinese startup has already become a source of national pride by now. By touting that Apple Intelligence is powered by DeepSeek, Apple could now attract new iPhone users and encourage the existing ones to upgrade, asserted Fast Company.

The success of DeepSeek has also challenged the notion that AI development requires massive investment while DeepSeek trained its model for under just $6 million. This recent revelation could actually allow Apple to avoid spending billions to catch up with competitors in the AI race, noted Fast Company.

Further, it is being also claimed that it took just two months to train the model of DeepSeek while this lowers the barrier to entry for other companies as well.

FAQs:

What will happen following the integration of the technology of DeepSeek into the Apple Intelligence?

Integrating the technology of DeepSeek into Apple Intelligence on iPhones in the country China could eventually offer performance benefits.

What does the models of DeepSeek runs on?

The models of DeepSeek can actually run on less powerful chips and use less energy while aligning with Apple's preference for on device computing.