AI in Israeli Vehicles: Grok, Gemini, and the Future of Driving

In recent weeks, thousands of Tesla owners in Israel have received a new software update for their vehicles featuring an active Hebrew version of the Grok artificial intelligence model from Elon Musk's xAI. The interface includes over 100 different voice commands for vehicle control, information retrieval, and more.

Tesla is not the only automaker currently embedding generative AI models in vehicles. Renault began rolling out a software update in June of this year that upgrades Google's automotive operating system, installed in hundreds of thousands of its vehicles, to a dedicated automotive version of the Gemini AI model.

BMW has integrated Alexa Plus into its new iX3 electric crossover, utilizing multiple artificial intelligence models—though not yet in Israel—and plans to expand the initiative to all its models in the near future. GM has been carrying out a similar process in the United States over recent months, marking just a partial list of industry developments.

Behind these moves lies a revolution that could dramatically upgrade the interface between drivers, passengers, and vehicles in the coming years, enhancing the productivity of millions of drivers on the road, including in Israel. At the same time, it brings new, unfamiliar risks and question marks. For those beginning to encounter the in-car AI phenomenon, here is a useful consumer guide.

How AI Enters the Vehicle

Currently, there are two primary ways artificial intelligence models can enter a vehicle. The first is integration of the AI model into the vehicle's operating system by the manufacturer on the assembly line or via over-the-air software updates.

This is a complex integration that typically requires advance planning and prolonged joint development between automakers and model developers. This is why quite a few new vehicle models currently arrive in Israel with dormant AI capabilities or features limited to simple tasks such as improving voice recognition quality and basic voice command conversation. Significant expansion is planned for the future and will include direct control over vehicle systems.

An "alternative route" more immediately available for in-car AI use, which many in Israel are already experiencing, is utilizing smartphone AI interfaces connected to the vehicle's multimedia system. For example, in recent months Google has begun automatically upgrading the Google Assistant interface found on millions of phones to its advanced Gemini AI model, though users can still opt out.

The downside is that the smartphone-based AI model cannot interface with the vehicle's software and hardware to receive real-time data on vehicle status or control operational features. In other words, the AI only knows what the phone knows.

Another drawback is that such a connection places considerable strain on the phone regarding battery heating and charging. Still, it represents a significant upgrade to the familiar interface concerning fluid voice communication with the AI and information retrieval capabilities.

A "Co-Driver" in the Vehicle

The significant and immediate improvement brought by in-car AI is natural language voice interfacing. Today, many in-car voice recognition systems, including modern and expensive models, struggle to recognize accents and filter background noise, resulting in frustrating command failure rates.

AI language models provide more natural and reliable communication capable (in theory) of bypassing the barrier of the Hebrew language, which is particularly problematic for software developers. We are not entirely there yet, and a recent evaluation of the Gemini model in a vehicle revealed that while it recognizes Hebrew commands, it frequently struggles to speak fluent Hebrew. Nevertheless, this is a breakthrough.

Another enhancement is the ability to query the AI in natural language on complex topics such as capital market reports and analyses, article summaries, cross-referencing information sources, and more. It functions essentially as a chatbot running inside the car without requiring the driver to take their eyes off the road.

This is naturally a dramatic upgrade for utilizing lost time in traffic jams, but it is only the beginning. The next stage is comprehensive voice control over the vehicle, with Tesla leading the field as both the hardware and software manufacturer for its cars.

The latest Grok update for Tesla vehicles is designed to allow drivers to use multiple complex, chained voice commands to control the car. For example, instead of issuing separate commands each time, a driver can say, "Lower the air conditioning temperature, fold the mirrors, turn the wipers to maximum speed, and find me some rock music." Alternatively, complex commands like, "Remind me to take the bag out of the trunk when we arrive home."

Tesla promises plans to use Grok in the future as an interface to control the FSD autonomous driving system with commands such as, "Navigate to the children's school and stop by the post office on the way." Conversely, Gemini focuses on full voice integration with Google's other "digital life" services.

Distraction and Data Security Issues

Two central problems overshadow the integration of AI models in vehicles. The first is driving distraction. Theoretically, the voice interface between driver and in-car AI should improve safety by eliminating the need for drivers to look at screens or reach for touch menus.

However, recent studies have discovered that conversing with an AI model in natural language for complex tasks or absorbing complex information requires driver attention comparable to a hands-free phone call—in other words, significant distraction.

1. Data security and privacy concerns regarding personal travel habits.

2. The use of queries for model training by default unless opted out.

The second problem is data security. All popular AI models use interactions to train their systems, and information is sometimes reviewed by human reviewers. While most Western manufacturers claim data is not linked to specific users, connecting to the AI model in certain vehicles requires identification, and it has already been discovered that every query and instruction directed at in-car AI, including navigation destinations, routes, and even music preferences, may be linked to an account and stored in chat logs.

Tesla, for example, states in update notes that conversations are anonymous from its perspective and not linked to the vehicle. However, "anonymous to Tesla" does not mean "not stored at all," and under xAI's consumer policy, conversations with Grok are used to train models by default unless the user opts out.

It is possible, of course, to restrict the system's ability to remember new chats and use them for system training, but this is doubtful to provide complete protection. This is precisely why organizations dealing with sensitive information use AI models running on internal organizational servers—protection that is generally impossible in a vehicle.

A particularly interesting case is the integration of Chinese-developed AI models. The DeepSeek model, for instance, is currently active in millions of vehicles across dozens of brands in China, and in the West it is viewed as a potential security risk linked to servers in China. If it is included in a dormant state in vehicles arriving in Israel, this could pose a significant problem.

Therefore, the most recommended advice for anyone concerned about business or security risks, or conversely wishing to ensure their purchased vehicle will support advanced AI models in the future, is to "do your homework." Check with the importer or manufacturer's website regarding future and existing policies on in-car AI integration, which models are used in the vehicle intended for purchase, and what data collection and retention policies apply. The bottom line is that despite numerous benefits, in the AI era, "what happens in the car does not necessarily stay in the car."