Apple is reportedly considering a bid to buy AI startup confusion. According to the report, Cupertino-based tech giants are internally debating the potential moves to enhance internal development of AI models and capabilities. The potential movement occurs when the development of key features such as AI-powered SIRI suffers from some delays and the release date is still unseen. However, if the company is moving towards winning confusion, it is the most expensive acquisition in history.
Apple reportedly discussed the acquisition of confusion
According to a Bloomberg report, iPhone makers are debating internally about bids to buy confusion. Citing an unnamed source with knowledge of the matter, the publication argued that the possibility of this move was taken into consideration by Adrian Perica, Apple's vice president of corporate development and head of mergers and acquisitions.
It is said that internal conversations are in the early stages, and there is no guarantee that these will lead to formal bids. So far, the company has reportedly not contacted Confusion Management to inquire about the acquisition.
Bloomberg argued that if the deal were made, it would help Apple develop its in-house AI-powered search engine and push forward with subsequent AI developments. Additionally, developing a search engine will also help prepare tech giants in case the antitrust law gives an unfavorable ruling and loses a 20 billion dollar (about 1.7 rupees) deal.
However, gaining confusion is a costly and unusual move for Apple. In its entire history, the technology has only made three transactions that cost more than $1 billion, another Bloomberg report claims. Of these, the most expensive acquisition agreement is said to be Beat. It was purchased in 2014 for $3 billion (approximately 26,000 Rs.) In contrast, after the latest funding round, the confusion is valued at $14 billion (approximately Rs 1.21 lakh).
The acquisition of confusion is reportedly just a mindset that Apple is messing around with, but such a transaction can not only bolster the company's existing AI suite, but also change devices for the future.
