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Apple’s interest in acquiring Perplexity AI signals its ambition to revamp Siri and challenge Google with an advanced search engine, potentially reshaping the tech giant's approach to artificial intelligence.
Apple is reportedly considering the acquisition of Perplexity AI, a move that could significantly bolster its artificial intelligence capabilities and help the company develop an AI-powered search engine. According to Bloomberg, internal discussions have been ongoing, with Adrian Perica, Apple's head of mergers and acquisitions, already engaging top executives like Eddy Cue, the senior vice president of services, on the matter.
The potential acquisition of Perplexity AI is a strategic move for Apple as it seeks to catch up in the rapidly evolving AI landscape. The company has been under pressure to enhance its AI offerings, particularly Siri, which has lagged behind competitors like Google Assistant and Amazon's Alexa. By integrating Perplexity's technology, Apple could not only improve Siri but also develop a robust AI-based search engine that could challenge Google's dominance.

The acquisition discussions are still in their early stages, and Apple has not yet approached Perplexity about a formal offer. Bloomberg reports that executives have also considered an alternative approach-partnering with Perplexity rather than acquiring it outright. This partnership could involve integrating Perplexity's technology into Siri and developing an AI-based search engine collaboratively.
In May, Eddy Cue revealed during Google's antitrust case that Apple had discussed the possibility of integrating Perplexity's AI search capabilities into Safari. However, no definitive plans have been announced, and the discussions remain speculative.
Apple's consideration of acquiring Perplexity AI reflects its strategic focus on enhancing its AI offerings and developing a competitive edge in the tech industry. While the acquisition faces several risks, the potential benefits-particularly in improving Siri and creating an AI-based search engine-are significant. As Apple continues to evaluate this opportunity, the outcome could have far-reaching implications for both the company and the broader technology landscape.
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Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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23 June 2025
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