Will Apple’s 'Answer Engine' Rival Leading AI Chatbots?

Apple has finally thrown its hat into the chatbot ring. 

According to Bloomberg, CEO Tim Cook calls AI a once-in-a-generation shift, comparing its impact to that of the internet, smartphones and cloud computing.

“Apple must do this. Apple will do this. This is sort of ours to grab,” he says.

After months of hesitation, the tech giant recently assembled a dedicated team to build an AI system designed to take on OpenAI’s ChatGPT directly.

The company has dubbed its project an “answer engine” and placed it under a newly formed division called “Answers, Knowledge and Information,” Bloomberg reports. 

It represents a big change for Apple, which has long preferred to acquire or partner rather than build complex AI systems from scratch.

What does 'Answer Engine' mean for the AI market?

The decision puts Apple on a collision course with OpenAI, whose ChatGPT sparked the current AI boom, and Anthropic. Both firms have carved out substantial market share while Apple has watched from the sidelines.

Apple’s CEO has come under increasing pressure from shareholders who have grown frustrated watching competitors race ahead in the AI arms race. 

But he points out that Apple has often shown up late to new technology – only to redefine it. 

“There was a PC before the Mac; there was a smartphone before the iPhone,” he reminds employees. “There were many tablets before the iPad.

“All of us are using AI in a significant way already and we must use it as a company as well.”

Yet Meta and Google’s parent Alphabet have both integrated Gen AI into their core products while Apple’s efforts have appeared slower by comparison.

The iPhone maker had previously explored several alternatives before settling on the in-house route. Talks with both OpenAI and Anthropic about enhancing Siri, Apple’s voice assistant, foundered on cost. The company also considered acquiring Perplexity.

Apple’s speech recognition challenge in the AI race

Speech recognition sits at the heart of Apple’s AI predicament. 

While rivals have made remarkable strides in natural language understanding, Siri has languished behind Google Assistant and Amazon’s Alexa in comprehension accuracy and contextual awareness.

The problem is not just about hearing words correctly – it is about understanding intent, maintaining conversational context and delivering responses that feel genuinely intelligent rather than scripted. 

In response, Google’s LaMDA and OpenAI’s Whisper have set new benchmarks for speech-to-text accuracy and natural conversation flow, particularly in noisy environments and across multiple languages.

Yet Apple’s answer engine team faces the daunting task of catching up, while simultaneously leapfrogging the competition. 

The company is reportedly investing heavily in transformer-based models that can process speech with greater nuance, recognising not just what users say but how they say it – picking up on emphasis, emotion and implied meaning.

This matters particularly for voice-first devices like HomePod, where users expect seamless interactions. However, current limitations force Apple to route complex queries through external services, undermining the integrated experience the company built its reputation on. 

Success in speech recognition could determine whether Apple’s answer engine becomes a genuine ChatGPT rival or another half-measure that disappoints users accustomed to Apple’s traditionally polished products.

Further challenges include Apple expecting to be hit by tariffs and continuing to deal with antitrust pressures in the US and Europe – where regulators are watching closely to see how the company runs its App Store and handles user data.

The CEO acknowledges these issues, saying Apple would continue pushing regulators to adopt rules that don’t hurt privacy or user experience.

“We need to continue to push on the intention of the regulation,” he says, “instead of these things that destroy the user experience and user privacy and security.”

Apple’s ambitions through “Answer Engine”

The project has landed in the hands of Robby Walker, a Senior Director who previously ran Siri before engineering setbacks saw him moved sideways.

He is now leading the AKI team alongside several former Siri engineers who understand the frustrations of Apple’s current AI limitations better than most.

Their brief is ambitious: build a system that can trawl the web and deliver intelligent responses to almost any query. 

The technology could eventually surface as a standalone app, though Apple is also exploring ways to beef up Siri and integrate the capability into Spotlight search and Safari.

Recent job adverts offer clues about Apple’s intentions. The company is now hunting for people with “experience with search algorithms and engine development” to help shape “the future of how the world connects with information” – language that suggests Apple sees this as more than just another product feature.

The timing is hardly coincidental. Apple pockets roughly US$20bn each year from Google for the privilege of being the default search engine across iPhones, iPads and Macs. 

But US antitrust regulators are circling and that lucrative arrangement could be torn up, leaving a hole in Apple’s finances.

Building its own search capability would provide a cushion against such a scenario. More importantly, it would give Apple control over one of the most valuable digital real estate assets: the gateway through which users access information.

“AI-based search represents the future” Eddy Cue, Apple’s Senior Vice President  of Internet Software and Services, says during recent court testimony, confirming the company has been exploring partnerships with companies including Perplexity.

Meta’s AI talent poaching

Apple’s AI push has hit turbulence, with key researchers jumping ship to Meta’s new artificial general intelligence (AGI) laboratory. 

Four members of Apple’s Foundation Models team – the group responsible for building the large language models (LLMs) that power AI systems – have decamped to Meta in recent weeks alone.

The defections include some heavy hitters. Ruoming Pang, who built the Foundation Models team from scratch, left in July 2025. Bowen Zhang, who led work on multi-modal AI systems that can process text, images and audio simultaneously, followed soon after.

Meta reportedly offered salaries several times what Apple was paying, along with the promise of working on cutting-edge technology. 

The talent raid highlights internal frustrations at Apple, where the Foundation Models team has reportedly shouldered blame for the limitations of Apple Intelligence, the company’s consumer AI platform.

Those limitations are real and obvious to anyone who has tried using Siri lately. Apple’s assistant still struggles with basic queries, often punting users to Google searches or offering a stripped-down interface to ChatGPT. 

The problem becomes particularly acute with devices like the HomePod, where users expect seamless voice interactions but often encounter dead ends.

Apple’s answer engine project remains in early stages, with industry observers suggesting a finished product is still “far off.” Yet the company’s methodical development process, involving extensive testing across hundreds of devices before any public launch, means users shouldn’t expect to see results soon. 

But in an industry where being late to market can prove fatal, Apple may need to move faster than its instincts suggest.

“In the competitive AI landscape, Apple is signalling it’s ready to reclaim control over its AI destiny,” says Sarath Nair, Data & AI Director at Cognizant.