Ramp AI Index updates to include token and spend volumes

Summary

Ramp AI Index has undergone a significant update, now including token and spend volumes rather than just shares or token counts. This improvement, reported by Ara Kharazian, reflects the index's focus on the intensity of AI adoption through comprehensive spend metrics across various categories such as subscriptions and APIs. The data used in the Ramp AI Index is derived from aggregated transaction data from businesses utilizing the Ramp corporate card and bill pay platform, showcasing insights into AI-related business spending trends.

Analysis

Ara Kharazian: Ara Kharazian is the Lead Economist at Ramp, where he oversees the Ramp Economics Lab and authors updates to the Ramp AI Index. He previously served as an economist at Square and focuses on AI's economic impact and business spend data. His recent work includes expanding the index to include detailed spend volumes and open-source model tracking. Ramp AI Index: Ramp AI Index is a measurement of AI adoption and spend across American businesses, derived from transaction data on the Ramp platform. It provides model-by-model breakdowns including open-source models and tracks metrics such as token and spend volumes. The index is maintained by Ramp's Economics Lab as a key reference for enterprise AI usage patterns. Data Scope: Ramp AI Index draws on aggregated transaction data from businesses using the Ramp corporate card and bill pay platform. Index Focus: The Ramp AI Index emphasizes intensity of AI adoption through spend metrics across subscriptions, tokens, APIs, and specific models. Research Output: Ara Kharazian regularly publishes updates and analysis from Ramp Economics Lab on AI-related business spending trends.

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