Google's new Gemini Intelligence is an exciting development in the world of AI-powered mobile technology. However, it's not just about the technology itself; it's about the exclusive club of devices that will be able to run it. In my opinion, this raises a deeper question about the future of AI integration in mobile devices and the potential implications for the broader market. What makes this particularly fascinating is the fact that Gemini Intelligence is not just a rebranding effort, but an impressive set of features that can automate multi-step tasks and execute them entirely in the background on its own. This is a significant step forward in the development of AI-powered mobile technology, and it's one that will likely have a major impact on the way we interact with our devices. However, the exclusive nature of Gemini Intelligence is a cause for concern. By limiting the availability of the technology to only a handful of the best current Android flagships, Google is creating a divide between those who can afford the latest and greatest devices and those who cannot. This raises a question about the accessibility of AI-powered technology and the potential for it to become a luxury item for the wealthy. From my perspective, this is a significant issue, as it could lead to a further widening of the digital divide. It's important to note that the requirements for running Gemini Intelligence are quite high. The stated requirements include at least 12GB of RAM, which means that the models that can run it are fairly hard to run on devices. This is a problem, as it means that many people will not be able to access the technology, even if they have the latest and greatest devices. One thing that immediately stands out is the fact that a recent specs leak for the Google Pixel 11 family suggested that the non-Pro models might be available with as little as 8GB of RAM. This is a significant issue, as it means that even some of the most popular devices may not be able to run Gemini Intelligence. What many people don't realize is that the exclusive nature of Gemini Intelligence is not just a problem for consumers, but also for developers. By limiting the availability of the technology to only a handful of devices, Google is creating a bottleneck for developers who want to create AI-powered applications for the broader market. This could lead to a situation where only a select few developers are able to create applications that take full advantage of Gemini Intelligence, which could limit the innovation and creativity in the market. If you take a step back and think about it, it's clear that the exclusive nature of Gemini Intelligence is a significant issue. It's not just about the technology itself, but about the implications for the broader market and the potential for it to become a luxury item for the wealthy. This raises a deeper question about the future of AI integration in mobile devices and the need for more inclusive and accessible technology.
