On August 3, 2025, Apple’s career portal lit up with more than a dozen new listings for an intriguing internal group: the “Answers, Knowledge, and Information (AKI)” team. While the superficial description—boosting Siri, Spotlight, and Safari—echoes past AI initiatives, the true ambition appears far bolder. Bloomberg’s Mark Gurman reports that, beyond personal-assistant improvements, Apple is quietly laying the groundwork for a ChatGPT-like search experience that could redefine how iPhone users seek answers both on and off the web.

Dubbed AKI internally, the Answers, Knowledge, and Information team is Apple’s leap into more generative, conversational AI. Job postings highlight responsibilities such as developing large language models (LLMs) that deliver personalized responses from a user’s own documents, “with privacy at the forefront,” and integrating those models into core Apple products. This focus on personal-context understanding echoes features Apple teased for Siri in 2026—on-device app awareness, email parsing, and deeper personal context—but hints at something more universal: a knowledge engine capable of crawling and summarizing the broader web.

A closer look at the job advertisements reveals Apple’s two-pronged approach. First, there are roles like Staff and Senior Machine Learning Engineer positions emphasizing LLM development, query correction, ranking algorithms, and real-time inference for low-latency services. These engineers will craft the backbone that processes and understands user queries, gleaning intent, retrieving relevant data, and synthesizing a coherent answer.

Second, the team is explicitly charged with conventional search tasks—query auto-complete, spell-check, and recommendation features—applied at unprecedented scale across Siri, Spotlight, Safari, Messages, and even the standalone “Lookup” app. By unifying these search capabilities under one umbrella, Apple aims to offer a seamless cross-platform experience that learns from each interaction.

In his Power On newsletter, Gurman reveals that AKI isn’t just about tweaking Siri’s dialogue; it’s in the “early stages of developing a new ChatGPT-like search experience.” The proposal includes a dedicated “answer engine” that can crawl the internet to answer general-knowledge questions—something akin to Perplexity or Microsoft’s Bing AI—while still aligning with Apple’s stringent privacy ethos. Apple is even exploring a standalone app for this capability alongside infrastructure upgrades to integrate it back into Siri, Spotlight, and Safari.

This marks a notable pivot from Apple’s traditionally cautious AI stance. The company has historically prioritized on-device processing and avoided cloud-dependent chatbots, famously delaying more conversational Siri updates until iOS 27. Now, internal discussions reportedly include major acquisitions—Perplexity being a rumored target—to accelerate the timeline. Should Apple bring such an engine to market, it could challenge OpenAI’s dominance and reshape user expectations for on-device AI.

At the helm of AKI is Robby Walker, a former Siri executive known for his candid critique of Siri’s limitations. Under his guidance, AKI’s mission extends beyond functionality to uphold Apple’s brand-defining commitment to user privacy. Job descriptions stress “query privacy,” local model inference, and secure integration with personal data streams, signaling that Apple aims to differentiate itself from rivals by ensuring that user data remains encrypted and on-device whenever possible.

CEO Tim Cook’s recent remarks further underscore this push. In an internal address, he declared AI “ours to grab,” urging teams to innovate boldly while safeguarding customer trust. This dual mandate—ambition tempered by privacy—reflects Apple’s core messaging and may serve as both a competitive advantage and a technical challenge.

Apple’s move puts it squarely in competition with established AI search players: Google’s Gemini, Microsoft-backed Bing AI, and standalone apps like Perplexity and ChatGPT. Yet Apple’s edge could lie in its ecosystem: deep integration across iOS, macOS, and even third-party apps via SiriKit. By embedding generative search at the system level, Apple can offer contextually aware, personalized responses that leverage calendar events, emails, messages, and more—all without sacrificing privacy.

Industry analysts suggest that Apple’s initiative may force Google to accelerate its own AI plans and could pave the way for an AI “arms race” among the tech giants. For consumers, the result could be more natural, conversational search experiences that blend factual retrieval with personal assistance—right from the lock screen.

While AKI is still in its infancy—many projects in Cupertino never see the light of day—the hiring blitz signals serious intent. Over the coming months, job interviewers will vet candidates capable of mastering both large-scale model training and the intricacies of on-device inference. Apple’s next product announcements, including iOS 27 and future iPhone releases, may offer the first public glimpses of this “answer engine.”

For now, Apple is doubling down on AI search. By forging a team dedicated to question-answering, uniting search across its ecosystem, and exploring standalone applications, the company is betting that the future of information lies in conversational, generative interfaces—delivered with the hallmark privacy that users expect. As the AI landscape evolves, all eyes will be on Cupertino to see if Apple can turn its “ChatGPT-like” vision into reality.