AI use increases, costs fall – trends in the AI market

02. October 2026 Vincent KI Effizienz Kostenoptimierung

# AI use rises, costs fall – trends in the AI market

The Ramp AI Index has once again shown that companies have integrated significantly more AI technologies into their business processes in recent months. At the same time, the average increase in spending on these technologies is significantly lower than expected. This indicates increased efficiency and increased cost optimisation. The use of AI is thus not only perceived as an innovation, but increasingly also as an economic strategy.

Another trend is the development of AI platforms that are not only based on pure speech or word processing, but also integrate complex functions such as video editing or game servers. With Manus 2.0, for example, an AI platform is presented that offers personal agents with their own phone number in addition to these functions. This underscores that AI systems are increasingly embedded in the everyday lives of companies and end users.

In addition, the security and regulation of AI systems is becoming increasingly important. Okta and partners form the Blueprint Alliance to secure AI agents and establish standards for their use. This is a sign that the industry is becoming aware that AI not only brings innovation, but also responsibility.

In the Play Store, Google is testing new subscription models that are optimized for usage-based billing. These models could be particularly relevant for AI models as they provide a flexible and scalable cost structure. The development of such models shows that in the future AI technologies will not only be perceived as a product, but also as a service.

The increasing use of AI and the associated cost savings show that companies and users are becoming increasingly flexible and efficient. AI is not only used as a tool for innovation, but also as a means of optimizing resources and processes.

## What this means for users The AI tools in xynap help companies work more efficiently and save costs.

Sources (2)

  1. the-decoder.de
  2. www.heise.de