As AI agents evolve from simple chatbots into complex autonomous systems capable of completing tasks, the demand for computing power escalates. A Barclay's report highlights the potential need for additional infrastructure to handle between 1.5 billion to 22 billion AI agents, emphasizing that the token generation from these agents is significantly higher compared to traditional chatbots. Each query processed by AI agents creates numerous tokens, placing a strain on current computational resources and underscoring the challenges posed by this technological leap.
AI agents generate far more tokens per user query than traditional chatbots, making them more computationally expensive.
The AI industry will have enough capacity to support 1.5 billion to 22 billion AI agents.
AI models break down words and other inputs into numerical tokens to make them easier to process and understand.
Additional computing power may be needed to run AI agents while also satisfying consumer demand for chatbots.
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