Agentic AI Set to Multiply Token Consumption 100–1000x
Industry observers argue the shift from chat-based AI to background agentic workflows will dwarf current token usage by orders of magnitude, with TSMC's earnings corroborating this via surging demand for agentic AI CPUs.
What we know
An account on X argued that spinning up background agents rather than chatting back and forth is "on the order of 100X or 1000X more token consumption than what we're seeing today," with most current work rate-limited by human interaction speed. This thesis received real-world corroboration from TSMC's earnings, where the company flagged growing demand for CPUs specifically powering agentic AI applications. OpenAI's internal security posture is also scaling with the stakes — the company is reportedly warning employees about honeypot spies as competitive intelligence efforts intensify.
By the Global Eye 24 desk, with AI assistance. Updated as the story develops. Spot an error? Write to corrections@globaleye24.com.