Implementation Barriers of Artificial Intelligence in Companies

Artificial intelligence bears great potential for companies and will massively change the way we work in the future. Despite this, studies show that AI is not yet widespread in European companies and companies face many hurdles to adoption. In order to understand the problems that companies face, the objective of this study is to investigate the hurdles to AI adoption and identify the problem areas. With a literature review, studies on the use of artificial intelligence in companies are researched and methodically evaluated with a qualitative content analysis. The individual hurdles are assigned to superordinate categories in order to identify which levers for the introduction of AI have the greatest impact on companies. The results make it clear that most of the hurdles are to be found at the management, employee, organisational and data levels. But external factors also play a major role in the introduction of AI, such as a lack of skilled workers, technical infrastructure and a lack of knowledge about software offerings. The results will help companies to take targeted measures for the introduction of AI and can be used to develop an implementation framework.