麦肯锡：2026下一前沿：人工智能（AI）时代的工程仿真研究报告（英文版）（11页）.pdf

1、McKinsey Direct The next horizon:Engineering simulation for an AI-powered world As AI and its uses advance,the scope of engineering simulation is changing,redesigning the way engineering is done and moving the center of value creation.March 2026by Alessandro Faure Ragani Engineering simulation(ES)ha

2、s long been a powerful catalyst for better,faster,and more cost-effective product development.Its benefits are well established:Virtual testing reduces the need for physical prototypes and accelerates time-to-market.It enables teams to explore designs more thoroughly and resolve issues earlier in th

3、e development cycle.In industries characterized by rising product complexity and intensifying performance expectations,simulation has become an indispensable part of the modern engineering toolkit.Over the past decade,artificial intelligence(AI),specifically engineering AI(including gen AI)have begu

4、n reshaping industrial systems more broadly(see sidebar“What is engineering AI?”).Automotive manufacturers already deploy AI-based predictive maintenance to extend service intervals and optimize repair interventions based on vehicle sensor data.Aerospace players are using engineering AI to accelerat

5、e the design of lightweight components.These examples highlight a broader shift:AI is not just automating discrete tasks;it is also transforming engineering activities at the systems level.What is engineering AI?As AI advances and broadens the use cases for it,new terms arise,and old ones expand.Her

6、e is a brief description of some of the terms we use in this article.Artificial intelligence(AI).A broad class of computational techniques that enable machines to perform tasks typically requiring human intelligence such as pattern recognition,prediction,reasoning,and decision-making.Engineering AI.