Ramp Economics Lab

Ramp AI Index

Monthly measurement of AI adoption and spend across American businesses using transaction data from 85,000+ firms on Ramp.

Data through

Summary

  • In the week ending October 11, 2026, Anthropic captured the largest share of AI token spending among businesses on Ramp, at 60.1%.

  • Total token spending rose 23.0% compared with the same week last month.

  • In September 2026, AI adoption reached 55.9% of U.S. businesses on Ramp, up 0.6 percentage points from August and 12.1 points from a year earlier.

  • Among firms paying for AI, the top 1% spent a median of $9,567.53 per employee per month on AI, compared with $15.70 for the median firm.

Latest data

Economic indicators

AI adoption is the share of businesses with spending on AI models, subscriptions, tokens, and APIs. Spend per employee covers only firms paying for AI; for the top 10% and top 1% of those firms, it is the median within each group.

MetricSep 2026Aug 2026Change
AI adoption: All businesses55.9%55.2%+0.6 pts
AI adoption: Anthropic43.8%43.5%+0.2 pts
AI adoption: OpenAI40.6%39.5%+1.1 pts
AI adoption: xAI4.1%3.5%+0.6 pts
AI adoption: DeepSeek0.3%0.2%+0.1 pts
AI adoption: Mistral AI0.2%0.2%0.0 pts
AI adoption: Information sector79.9%80.0%-0.1 pts
AI adoption: Finance & Insurance sector73.7%73.1%+0.6 pts
AI adoption: Manufacturing sector60.9%60.3%+0.6 pts
AI adoption: Retail Trade sector49.9%48.3%+1.6 pts
AI adoption: Construction sector43.2%41.2%+1.9 pts
AI adoption: Healthcare sector42.5%42.3%+0.2 pts
AI adoption: Accommodation & Food sector33.0%32.6%+0.4 pts
AI adoption: Large businesses65.7%65.2%+0.5 pts
AI adoption: Medium-sized businesses62.5%61.4%+1.1 pts
AI adoption: Small businesses50.0%49.5%+0.5 pts
AI spend per employee per month: Median firm paying for AI$15.70$14.74+$0.96
AI spend per employee per month: Top 10% of firms paying for AI$813.43$740.47+$72.96
AI spend per employee per month: Top 1% of firms paying for AI$9,567.53$8,568.17+$999.36
AI share of business spend (excluding payroll)5.77%5.96%-0.19 pts

Tokenomics

The latest complete week compared with the same week last month, from Ramp AI Token Spend Management. Total token spending rose 23.0%. Total token volume rose 52.4%.

MetricWeek ending Oct 11, 2026Week ending Sep 13, 2026Change
Share of token spend: Anthropic60.1%53.8%+6.3 pts
Share of token spend: OpenAI36.4%42.4%-6.0 pts
Share of token spend: xAI2.0%2.1%-0.1 pts
Share of token spend: Google1.2%1.3%0.0 pts
Share of token spend: Cursor0.1%0.2%-0.1 pts
Share of token volume: Anthropic58.9%57.7%+1.2 pts
Share of token volume: OpenAI38.2%38.9%-0.6 pts
Share of token volume: xAI1.3%1.6%-0.3 pts
Share of token volume: Google1.2%1.4%-0.2 pts
Share of token volume: Cursor0.1%0.3%-0.1 pts
Blended price per million tokens: OpenAI & Anthropic$0.64$0.86-25.4%
Blended price per million tokens: OpenAI$0.48$0.73-34.5%
Blended price per million tokens: Anthropic$0.80$1.00-19.2%
Don't miss key shifts in business spend from Ramp Economics Lab.

Methodology

Ramp AI Index measures the adoption rate of artificial intelligence products and services among American businesses. Our sample includes more than 85,000 American businesses and billions of dollars in corporate spend using data from Ramp’s corporate card and bill pay platform.

Our work builds on previous work by Bonney et al. (2024) by providing a new dataset to measure firm adoption and spend on artificial intelligence. Previous work has relied almost entirely on surveys that ask businesses if they use AI, but surveys may lead to underreporting of actual AI adoption and spend, particularly when questions are unclear or when adoption of a new technology is rising very quickly. Using contract and transaction data from corporate spend with AI companies, we produced a more timely and accurate measurement of AI adoption by U.S. businesses.

Our transaction set is built using company models that extract line-item text from paid receipts and bills uploaded by the purchaser following a sale. Firms are considered to have adopted AI tools if they have a positive transaction amount for an AI product or service in a given month. AI products and services are identified using merchant name and line item details from receipts and bills.

Firms are assigned to industry sectors using internal company models that predict the relevant industry sector using the NAICS standard. Firms are assigned to business size segments using company models that use internal and third-party data on firm revenues and employee counts.

It’s likely our results underestimate actual AI adoption and spend due to the prevalence of businesses using free AI tools, in which no paid transaction occurs, or when employees use personal accounts with AI companies to complete work tasks.

Sources and Definitions

Adoption: The share of businesses with an observed payment for an AI product or service in a given month. The measure uses corporate card, invoice, and ACH transactions processed by Ramp; merchant names and line-item details identify qualifying payments.

Spend per Employee: Monthly observed AI spending divided by employee count for businesses in the reported cohort. The measure combines AI-related corporate card, invoice, and ACH transactions processed by Ramp with matched company employee counts.

Token volumes, spend, and prices: These metrics track token volumes, spend, and prices against AI models among businesses using Ramp’s Token Spend Management product. The product imports usage and billing data from connected AI providers and records costs using provider and model identifiers. It represents a sample of Ramp businesses that spend on AI tokens and use the TSM product. It is not representative of Ramp’s total AI spend volume, though results are directionally similar.

Ara Kharazian•Lead Economist, Ramp
Ara Kharazian is the lead economist at Ramp and writes the weekly newsletter Econ Lab on Substack. His writing and analysis of AI, business spend, and the economy has been covered in the New York Times, Wall Street Journal, Financial Times, NBC News, ABC News, NPR's Planet Money, Bloomberg, the Guardian and more. Ara previously led economic research at Square and was an economic consultant at Cornerstone Research.

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