AI's next phase isn't innovation, it's capital discipline
For the past few years, Enterprise AI has largely been defined by experimentation. Organizations rushed to explore use cases, test pilot programs and give teams access to the latest models. Success metrics have often been related to adoption and speed.
Field CTO at Celonis.
Across boardrooms now, the conversation around AI is changing. CFOs are no longer asking what AI tools can do, rather they are asking what it has done, what value it has created, and whether that value justifies the growing cost of compute.
The next chapter of Enterprise AI will not be defined by who deploys the most agents or consumes the most tokens. It will be defined by who generates the greatest business outcomes from the most efficient use of compute. AI is entering its capital discipline phase.
Many businesses are moving beyond AI chatbotsand copilots to AI agents that can complete tasks, make decisions,...
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