#agenticai #AItokenomics #localai In Episode #1031, Ish Shah and Tyler Cox (Distinguished Engineers in the Office of the CTO for Dell Technologies' client group) join @JonKrohnLearns to work out why agentic AI bills are exploding and what can be done about it. Over one weekend Ish burned roughly two billion tokens on a side project, and that is the ordinary shape of agentic work now: agents spawn sub-agents, the pie of work grows, and cheaper tokens only invite more ambitious projects. Tyler runs a small Dell lab that pushes hundreds of millions of tokens a day through local hardware instead. In this episode, they define what makes a system agentic, explain how to read a Pareto curve when choosing models, work through the jagged frontier and why most tasks do not need a frontier model, and lay out what moving agentic workloads onto your own hardware does to the economics. This episode is brought to you by: • ODSC, the Open Data Science Conference: https://odsc.ai/west/ • Anthropic: https://claude.ai/superdata • Origin: https://www.originhq.com/sds • Palo Alto Networks: http://paloaltonetworks.com/idira Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information. In this episode you will learn: Additional materials: https://www.superdatascience.com/1031