tech
How to manage token costs while keeping agentic goals on track
Learn about AI tokenomics and how Dell AI Factory with NVIDIA helps reduce token costs by running AI agents locally.
TL;DR
- AI agents consume significantly more tokens than chatbots, making token costs a major business concern.
- Tokenomics is now a P&L issue, not just an engineering one, requiring a mindset shift towards cost per outcome.
- Agentic AI's ability to think, plan, and operate autonomously leads to higher token consumption for complex tasks.
- Dell's Deskside Agentic AI allows organizations to build and run secure autonomous agents locally on owned hardware.
- This approach converts variable cloud token costs into a controlled infrastructure investment.
- Leaders should prioritize running agentic AI on local systems as everyday workhorses, using the cloud as a specialist tool.
- Key advice for leaders exploring agentic AI: start local, govern early, and scale smart.