As it celebrates its 50th anniversary, Apple is facing a critical turning point: how to re-establish its advantages in the wave of artificial intelligence. Many former employees and industry observers said that Apple "missed about five years of leadership" in the generative AI wave, but the company still has the conditions to make a comeback in future competition.
Apple has long been known for its "privacy first" product philosophy. The company promises consumers that user data is mainly stored locally on the device and will not be used for advertising. This strategy is in sharp contrast to Google and Meta, which have long relied on advertising models, training algorithms through large amounts of user data and delivering targeted ads.
However, some industry insiders believe that this strategy puts Apple at a disadvantage in the early stages of generative AI. The training of current mainstream AI models relies on massive data and large-scale cloud computing, while Apple has been relatively cautious in data collection and infrastructure investment. At the same time, Amazon, Microsoft, Google parent company Alphabet and Meta are investing hundreds of billions of dollars in building AI data centers and model capabilities.
Against this background, Apple has recently adopted an attention-grabbing strategy: reaching a multi-year cooperation with Google to use the Gemini model for an upgraded version of Siri. Previously, Google had been paying huge fees to Apple to become the iPhone's default search engine. However, in the field of AI, this relationship has changed - Apple has become a paying customer of the technology licensor.
Some analysts believe that the key issue is not funding, but data boundaries. The industry is worried that if user data is used to improve Google's algorithms, it may weaken the privacy advantages that Apple has long emphasized. Therefore, how both parties handle the scope of data use becomes the focus.
Apple's AI development also faces another challenge: Siri's progress has been stagnant for a long time. Siri was launched in 2011 and entered the market earlier than Amazon Alexa and Google Assistant, but its function expansion has been slower since then. Former Wall Street Journal technology columnist Walt Mossberg said Apple "basically squandered a five-year lead."
Dag Kittlaus, co-founder of Siri, also said that Siri’s original vision was far more ambitious than existing products—not only to be able to answer questions, but also to perform complex tasks and form an ecosystem similar to an app store.
Apple's current core bet is "on-device AI". The company believes that as the size of models continues to shrink, more and more AI tasks will be run directly on device chips in the future, rather than relying on cloud computing. Apple has been adding dedicated AI computing units to its chips since 2017 to prepare for this shift.
Some analysts believe that if AI computing gradually shifts from the cloud to terminal devices, this trend may re-strengthen Apple's advantages in hardware and chip design.
At the same time, new competitive threats are emerging. OpenAI acquired io, the design company of former Apple chief designer Jony Ive, last year and plans to develop new devices for the AI era. Market speculation suggests that such products may no longer rely on traditional screens, but instead center on voice or environmental interaction.
However, some people believe that this type of "screenless AI device" will still be difficult to replace smartphones in the short term. Tony Fadell, an engineer who participated in the development of the iPod and early iPhone, said that an ecosystem composed of multiple AI devices is more likely to emerge in the future, and smartphones will remain the core terminal.
At the 50th anniversary event, Apple CEO Tim Cook said that the company is promoting a new generation of Siri and broader AI capabilities. As AI gradually becomes a key technology for next-generation computing platforms, whether Apple can regain its advantage at this stage is becoming the focus of market attention.