Rising Token Consumption Poses Growing Cost Challenge for German Companies Using AI

Artificial Intelligence (AI) is becoming more affordable in terms of token prices, but German companies are facing increasing expenses due to the rising token consumption intrinsic to agent-based AI systems. Experts highlight that despite cheaper tokens, the overall costs are climbing because of what is known as the "token tax," a hidden expense caused by repeated use of costly AI resources in daily business operations.

Peter van der Putten, Director of the AI Lab at Pegasystems, explained that many initial AI adoption efforts benefited from subsidized prices and generous usage quotas. However, as AI moves beyond experimentation to widespread deployment, companies face economic challenges from high token usage that does not always translate into business value—a phenomenon termed "Tokenmaxxing."

For example, Uber reportedly exhausted its entire AI budget for 2026 within just four months due to rapid adoption of AI tools, illustrating how fast token consumption can escalate. Agent-based AI systems conduct extensive background processing, driving a sharp rise in token use independent of decreasing token prices. Goldman Sachs Research forecasts token consumption could increase 24-fold by 2030, potentially reaching 120 trillion tokens monthly across households and businesses.

The "token tax" arises because many AI tasks are executed repetitively at runtime instead of being designed once and reused, resulting in inflated costs. The article stresses the need to separate design-time workload—where reusable AI workflows can be constructed—from runtime execution, where more economical solutions could curb token consumption.

As companies transition from trial use to full-scale AI integration, the focus must shift from maximizing token use as a metric of success to optimizing the business value derived from each token spent. This hidden economic complexity presents a new challenge for German firms adapting to the rapid AI revolution.

Overall, the economic implications of token-based AI consumption require German companies to rethink their AI strategies for cost efficiency while maintaining the drive for innovation and competitive advantage.