Why AI must shrink to realize its entrepreneurial potential

From co-pilots and chatbots to advanced analytics and automation, AI systems are now integrated into the way companies operate and compete. But as acceptance increases, a less visible topic is coming into greater focus: energy.

Data centers are already big consumers of electricity, and AI is driving demand even higher. Power consumption associated with AI workloads is expected to grow by approximately 15% per year, far outpacing growth in other sectors.

Training and running large language models (LLMs) requires enormous computational resources, and each additional level of complexity directly leads to increased energy consumption.

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This trajectory raises a crucial question for the future of AI: How long can innovation continue on a path that depends on ever-increasing power consumption?

Power limitations shape the future of AI

The AI…