Apple's artificial intelligence strategy

In his latest analysis of WWDC 2025, globally recognized Apple analyst Ming-Chi Kuo pointed out that the company's artificial intelligence strategy is more about structured, long-term development than technological revolution. At Apple's presentation, artificial intelligence was clearly the focus of attention, overshadowing areas such as the visual renewal of operating systems or the introduction of new features.

According to Kuo, it is not worth expecting breakthrough technological innovations from Apple's AI developments – and the market does not expect this either. The expert considers it more important how clearly the company can communicate how the new AI functionality will be integrated into the existing device fleet and what the timeline is for making the services widely available. In this context, patience and trust are key: the market tends to evaluate based on consistent, feasible plans.

The direction presented focuses more on deep integration into the system: Siri and artificial intelligence capabilities could be reorganized under a new brand, improving the user experience at the operating system level. In addition, Apple—with the analytical precision we have come to expect from Kuo—is expected to offer developer tools that will make it easier for third parties to integrate AI-based solutions. Privacy protection will also remain key, and it is not out of the question that Apple will enter into strategic partnerships with AI providers who already have a significant advantage in this area.

Kuo believes that although many take it for granted that Apple will increasingly become part of the rise of artificial intelligence thanks to its strong chip development and hardware foundations, this alone is not enough to create a sustainable competitive advantage. The company's advantages lie more in providing a quality platform for AI services to operate on than in setting the direction for this industry as a pioneer.

Kuo's analysis essentially tempers excessive expectations and places Apple's AI vision in a more realistic context, emphasizing that the company's strategy should be evaluated in the long term rather than based on immediate sensations. 

Share this post
Artificial intelligence, space, and humanity
Elon Musk, founder and CEO of SpaceX, Tesla, Neuralink, and xAI, shared his thoughts on the possible directions of the future in a recent interview, with a particular focus on artificial intelligence, space exploration, and the evolution of humanity.
Real-time music composition with Google Magenta RT
The use of artificial intelligence in music composition is not a new endeavor, but real-time operation has long faced significant obstacles. The Google Magenta team has now unveiled a development that could expand both the technical and creative possibilities of the genre. The new model, called Magenta RealTime (Magenta RT for short), generates music in real time and is accessible to anyone thanks to its open source code.
Ufficio Zero is an Italian Linux distribution for sustainable digital work
Ufficio Zero Linux OS is a little-known but increasingly noteworthy Italian-developed operating system. It is primarily designed for office and administrative work environments and may be of particular interest to those looking for a stable, reliable, and long-term alternative to commercial systems. Ufficio Zero occupies a unique place in the world of open source systems: it aims to provide a solution to both the obsolescence of digital infrastructure and the problems of accessibility of software tools that are essential for work.
What would the acquisition of Perplexity AI mean for Apple?
Apple has long been trying to find its place in the rapidly evolving market of generative artificial intelligence. The company waited strategically for decades before directing significant resources into artificial intelligence-based developments. Now, however, according to the latest news, the Cupertino-based company may be preparing to take a bigger step than ever before: internal discussions have begun on the possible acquisition of a startup called Perplexity AI.
This is how LLM distorts
With the development of artificial intelligence (AI), more and more attention is being paid to so-called large language models (LLMs), which are now present not only in scientific research but also in many areas of everyday life—for example, in legal work, health data analysis, and computer program coding. However, understanding how these models work remains a serious challenge, especially when they make seemingly inexplicable mistakes or give misleading answers.
MiniMax-M1 AI model, targeting the handling of large texts
With the development of artificial intelligence systems, there is a growing demand for models that are not only capable of interpreting language, but also of carrying out complex, multi-step thought processes. Such models can be crucial not only in theoretical tasks, but also in software development or real-time decision-making, for example. However, these applications are particularly sensitive to computational costs, which are often difficult to control using traditional approaches.

Linux distribution updates released in the last few days