While US AI giants tirelessly stage growth and technological superiority, a closer look reveals that their business models rest on astonishingly unstable foundations: billions lost, stagnating usage and energy requirements that could exceed the level of entire industries in just a few years. Nevertheless, many German companies are anchoring their most sensitive data and processes ever more deeply in these proprietary ecosystems – in the belief that size automatically means stability.

Prof. Dr. Heiko Beier reveals in the Digital Business Magazin article how deceptive this assumption is. The greater the integration into the platforms of OpenAI, Microsoft or Google, the greater the risk of a vendor lock-in, which not only exposes companies to price increases, but also gradually undermines their technological sovereignty. At the same time, the providers themselves are struggling with a cost structure that seems barely manageable and a capital requirement that is more reminiscent of rescue measures than sustainable growth.

Beier’s article is therefore not only a precise warning call, but also a signpost: hybrid architectures, open standards and modular agent systems show how companies can secure their data sovereignty and make their AI strategy resilient. If you want to understand why now is the decisive moment to rethink and which concrete steps open up the way out, you should read the entire article.