The article delves into the challenges hampering the adoption of AI in engineering simulations within the automotive sector. Despite AI's capabilities to enhance product design through reduced simulation times and improved insights, many firms face barriers such as perceived complexity, high costs, and insufficient expertise. Industry insights were gathered through surveys and expert interviews, shedding light on the critical need for an agile product development process. The research highlights the potential economic benefits and suggests strategies to mitigate adoption hurdles, advocating for better education and communication about AI technologies in the engineering field.
AI adoption in engineering simulations for automotive design is lagging, driven by factors such as perceived complexity, cost concerns, and a skills gap among engineers.
Despite AI's potential to speed up simulation processes, many organizations are hesitant to invest due to uncertain returns and a lack of knowledge about implementation.
#ai-adoption #automotive-engineering #simulation-technologies #product-development #industry-challenges
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