International Business Machines (IBM) has teamed up with Italian race car maker Dallara Group to improve the design of high-performance vehicles. recession-and-rich-valuation-weigh-on-mrtn">The goal is to use AI to cut the time it takes to test and refine car designs, while also looking ahead to how quantum computing could help in the future.
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Trade IBM with leverageTo begin with, the companies built a new AI model using Dallara’s own aerodynamic data. This data comes from years of testing race cars under real-world conditions, which gives the model a strong foundation. As a result, early tests show that tasks that once took hours can now be done in seconds. In one case, a simulation that normally took a few hours was completed in about 10 seconds, while still reaching nearly the same result.
IBM’s Alessandro Curioni explained the idea clearly. “With Dallara, IBM is applying AI to speed up aerodynamic design today while advancing quantum computing in parallel to push simulation farther.” This shows the project’s dual focus. It is about faster results now, and better tools later.
Meanwhile, IBM shares dropped 2.55% on Wednesday, closing at $227.10.
Faster Simulations Could Lower Costs and Boost Output
Next, the impact on cost and speed could be meaningful. Engineers rely on complex simulations to test how air flows around a car. These tests are slow and expensive, often taking weeks when done at scale. By using AI, teams can test more design options early, before moving to more advanced and costly simulations.
For example, the project looked at a part of the car called the rear diffuser. The AI model tested many versions of this part and found the best design with nearly the same accuracy as traditional methods. This means engineers can explore more ideas in less time, which could lead to better cars and lower development costs.
Dallara CEO Andrea Pontremoli highlighted the mindset behind the move. “Racing has taught Dallara that there are two possible outcomes: you either win or are forced to learn.” In this case, the company is using AI to learn more quickly and improve its processes.
Looking ahead, the companies are also testing how quantum computing could fit into this workflow. While still early, the idea is that quantum tools could handle even more complex problems than today’s systems. Over time, this could further improve design accuracy and efficiency.
Finally, the broader impact may go beyond racing. More efficient designs could help reduce drag in everyday vehicles. Even small gains of 1% to 2% could lead to better fuel use at scale. That makes this partnership not just a tech upgrade, but a potential long-term benefit for the wider auto industry.
Is IBM Stock a Buy, Sell, or Hold?
Turning to Wall Street, International Business Machines has a Moderate Buy consensus, based on 19 analysts’ ratings. The average IBM stock price target is $298.44, implying a 31.42% upside from the current price.
