AI budgets rise: Gartner warns of growing utility deficit

02. September 2026 Vincent KI-Budgets Gartner KI-Planung ROI

Spending on AI technologies continues to grow, despite low scale. According to Gartner, the AI budget of many companies is increasing, but the efficiency and utility of investments often fall short of expectations. The study warns of the increasing gap between high spending and actual benefits, requiring careful project evaluation and planning. Companies must therefore ask themselves whether their AI initiatives really achieve the expected ROI or whether they need a better strategy to make the most of the investments.

Another highlight is the development of own AI models by state actors such as the Pentagon, which uses ChatGPT and Grok to develop military applications. This underscores how strongly AI technology is being integrated across different industries and sectors. At the same time, other developments, such as the use of ChatGPT as a search engine or the introduction of OpenClaw 2.0, show that AI technologies are continuously evolving and opening up new fields of application.

The growing investment in AI systems also leads to a greater focus on the security and efficiency of implementation. Companies need to consider not only the technical aspects, but also the organizational and strategic challenges. This includes selecting suitable tools, integrating with existing systems, and creating a culture that supports and promotes AI initiatives. At the same time, it emphasizes the need to carefully evaluate AI projects to ensure that they actually deliver the expected benefits.

The current development of AI shows that investments in AI systems are not only increasing, but also entail a higher demand for planning and implementation. Organizations using AI in their processes need to embark on a long-term strategy while paying attention to the risks associated with adopting such technologies. Gartner emphasizes the importance of structured project evaluation to maximize the efficiency and benefits of AI investment.

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Sources (2)

  1. www.golem.de
  2. www.heise.de