The company’s rapid adaptation to digital transformation (DT) both in the most innovative economies and in the less innovative economies is one of the topics that keeps the field of innovation studies very busy but also governments. The artificial intelligence (AI) sector is one of the areas that is having the greatest degree of influence due to the effects of DT. While it is true that with DT these companies have a high potential for innovation, it is also true that their business models require a permanent readaptation process with the dynamics and complexity of technological changes. This research contributes to help companies to understand the complexity and dynamics of DT. Through a set of configurations based on the qualitative comparative analysis (QCA) method, it is possible to identify the positioning of the companies in the artificial intelligence sector in relation to this technological pattern. One of the most relevant conclusions is that the construction of configurations related to radical changes allows companies to observe the complexity and dynamics of these changes.

无论是在最具创新性的经济体还是在创新性较低的经济体中，公司对数字化转型（DT）的快速适应是创新研究领域以及政府都非常忙碌的话题之一。人工智能（AI）领域是受DT影响最大的领域之一。虽然利用数字技术这些公司确实具有很高的创新潜力，但他们的商业模式也确实需要一个永久性的重新适应过程，以应对技术变革的动态性和复杂性。这项研究有助于帮助公司了解数字技术的复杂性和动态性。通过一组基于定性比较分析（QCA）方法的配置，可以确定企业在人工智能领域相对于该技术格局的定位。最相关的结论之一是，与根本性变化相关的配置的构建使公司能够观察这些变化的复杂性和动态。