AI in Cars: The Future is Already Here
Far from being a futuristic concept straight out of a sci-fi movie, artificial intelligence (AI) is already transforming the automotive industry. From manufacturing and dealership experiences to advanced driver assistance systems (ADAS) and even traffic management, AI is embedded in nearly every aspect of car production, ownership, and driving. Let’s explore how AI is shaping the automotive world today and what the future holds.
AI in Manufacturing: Smarter, Faster, and More Efficient
AI-driven automation and robotics are making car production more efficient by reducing human error and streamlining processes. Manufacturers like Mercedes-Benz and Mazda are leveraging AI for various production tasks, from intelligent vehicle assembly to energy-efficient paint application and accelerated electric vehicle development.
Beyond production, AI is also enhancing supply chain management by analyzing demand, tracking inventory, and even monitoring weather patterns to optimize distribution and pricing. According to AI firm Salesforce, AI-powered 3D printing is helping manufacturers produce complex automotive parts faster and with greater accuracy, ultimately cutting costs.
AI in Car Buying and Ownership
AI is not just in the factory—it’s also transforming the way we buy and own cars. Dealerships are now integrating AI-driven virtual assistants like "Hey Suzi," a technology launched in partnership with Suzuki to streamline customer interactions. This AI-powered assistant can book test drives, schedule service appointments, and even notify customers about special sales events—all within seconds.
Mercedes-Benz is also integrating AI into its dealership experience, using AI-powered assistants in its IT infrastructure and customer support systems.
AI in Connected Services
Many car brands now offer AI-driven connected services through smartphone apps such as Kia Connect, Hyundai Bluelink, FordPass, and myToyota. These apps provide real-time traffic updates, infotainment customization, and even remote vehicle diagnostics.
AI in Vehicle Repairs and Insurance
AI is playing a role in vehicle repairs, but not without controversy. Some insurance companies are using AI to automate repair assessments, which industry experts argue may oversimplify complex repair jobs. Carly Ruggeri, Director at Euro Panels, warns that relying solely on AI-driven assessments could lead to unsafe repairs if human expertise is not factored into the decision-making process.
However, AI is also being used to assist mechanics. Porsche, for example, has partnered with AI firm Sensigo to develop an AI-powered platform that predicts mechanical issues before they happen, potentially reducing repair costs and improving vehicle reliability.
AI in Advanced Driver Assistance Systems (ADAS)
AI is a key component of modern vehicle safety. ADAS technologies like Autonomous Emergency Braking (AEB), Lane Support Systems (LSS), and Fatigue Detection use AI to analyze data from sensors and cameras, helping prevent accidents.
ANCAP (Australasian New Car Assessment Program) plans to introduce new testing protocols in 2026 to evaluate not just whether a car has ADAS but how well it performs in real-world driving. AI-powered systems, such as BYD’s “God’s Eye” and Mercedes-Benz’s Drive Pilot, are already advancing autonomous driving capabilities.
AI in Traffic Management and Road Maintenance
AI is improving city traffic flow and road maintenance. Transurban, which operates toll roads in Australia, uses AI to detect traffic congestion and adjust speed limits dynamically. AI-powered breakdown detection systems are also being used to identify stalled vehicles before human operators can respond.
On Melbourne’s CityLink, AI-equipped service vehicles scan road surfaces to detect damage, allowing proactive road maintenance to prevent potholes and other hazards.
The Future of AI in Cars
Autonomous Driving: Reality vs. Hype
While Tesla frequently claims its vehicles are capable of Full Self-Driving (FSD), the reality is that no car currently on the road is truly autonomous. Self-driving technology is classified into five levels:
| Level | Name | What it Does | Examples |
|---|---|---|---|
| 0 | No Automation | Warnings and momentary assistance | Lane Departure Warning |
| 1 | Driver Assistance | Steering or braking support | Adaptive Cruise Control |
| 2 | Partial Driving Automation | Steering + braking/acceleration support | Tesla Autopilot |
| 3 | Conditional Driving Automation | Vehicle drives itself under limited conditions | Mercedes Drive Pilot |
| 4 | High Driving Automation | No human intervention in limited areas | Robotaxis with restrictions |
| 5 | Full Driving Automation | Car drives itself anywhere, anytime | Not yet available |
Currently, Australia does not allow fully autonomous vehicles on public roads, but Mercedes-Benz is rolling out Level 3 autonomous technology in select markets, with hopes to expand its capabilities in the future.
Brands like Volvo, Polestar, and Isuzu are also investing in AI-driven driving technologies, with Volvo’s EX90 and Polestar 3 set to receive advanced AI-powered computing systems in the coming years.
Final Thoughts
AI is already deeply embedded in the automotive industry, from car manufacturing and dealership interactions to road safety and autonomous driving. As AI technology continues to advance, we can expect even smarter, safer, and more efficient cars in the years ahead. While challenges remain—particularly in areas like insurance and repairs—the potential for AI to improve the driving experience is undeniable.
The future of AI in cars isn’t just coming—it’s already here. 🚗💡
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Credit: Drive.com.au