claim: Annual budget = monthly cost x 12 x 1.

source_title: AI Token Usage Guide (2026) — 10 Use Case Cost Profiles

methodology: Aggregator citation; consult the linked primary source for methodology.

cite_as: Annual budget = monthly cost x 12 x 1. (iternal.ai)


source_title: Agentic AI Statistics 2026: 150+ Data Points Collection

cite_as: MCP's 97 million downloads signal the emergence of agent interoperability infrastructure:The Model Context Protocol reached 97 million downloads within months of release and now has 1,000+ servers in its ecosystem. (digitalapplied.com)


cite_as: Token costs, orchestration overhead, and tooling investments combine to create total cost of ownership profiles that are often 3–5x higher than initial LLM API cost estimates. (digitalapplied.com)


cite_as: Use adoption gap (79% vs 11%), failure rate (88%), and velocity data (3.2x YoY growth) to frame urgency and differentiation opportunity. (digitalapplied.com)


source_title: AI demand is inflated — only Anthropic is being realistic - CNBC

methodology: Self-disclosed by vendor (earnings call or product communication).

cite_as: AI spending across Ramp’s customer base has grown 13x over the past year and no one knows how to budget for it. (cnbc.com)


cite_as: | Prompt Caching (Anthropic) | ~90% on cached input tokens | Manual cache-control headers; small write premium (1.25x for 5-min TTL, 2x for 1-hr TTL); 0. (iternal.ai)


cite_as: Key insight: By turn 10, cost per call is ~7x the cost of turn 1 for identical output. (iternal.ai)


cite_as: Agentic systems require 5-30x more tokens per task than a standard chat interaction. (iternal.ai)


cite_as: Token usage exhibits large variance across runs -- some runs use up to 10x more tokens than others for identical tasks. (iternal.ai)


cite_as: Using a budget model for record summarization and email drafting can achieve 15-50x cost savings over frontier models. (iternal.ai)