Agentic AI at Scale: Use Cases and Implications


  • AI agents incur costs for models, GPUs, cloud storage, and virtual avatars, which can escalate quickly with usage.
  • IT departments will face substantial expenses related to agentic AI implementation within the next 3-5 years.
  • Key cost considerations include tracking agent interactions, resource utilization, and overall returns on investment.
  • Financial oversight is essential; utilizing "financial agents" and implementing budget monitoring mechanisms can help manage expenses.
  • Collaborative planning involving stakeholders from various sectors is necessary to identify viable agentic AI projects and avoid costly missteps.

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