Ramp AI Index [What It Changes]

TL;DR

• The Ramp AI Index is Ramp’s monthly measurement of paid AI adoption and spend among 70,000+ U.S. businesses on its corporate card and bill-pay rails, built from receipts rather than surveys (Ramp AI Index).

• As of the live dashboard, 55.7% of Ramp firms now pay for AI, against a Census BTOS U.S. estimate of 21.6% on the same chart (Ramp AI Index).

• Anthropic still leads that paid sample at 43.5% of businesses versus OpenAI at 39.7%, while the median firm spends $11.95 per employee per month and the top 1% spend a median $7,400 (August 2026 letter).

• A 2-truck HVAC shop, a 10-person agency, or a solo clinic should care because the Index is a receipt of what similar shops already buy — and a warning that the tail, not the median, is where AI bills blow up.

Key Takeaways

• The minted term names a spend series, not a lab product. Ramp is the card and bill-pay company; the Index is its Economics Lab research.

• Receipts and surveys disagree. Ramp’s 55.7% paid-adoption line is not the same object as Census BTOS “used AI in the past two weeks.”

• Model share is volatile. Anthropic leads, OpenAI is closer than the May gap, xAI is 4%, and open-source serving platforms are a small, expensive niche.

• Median spend is a rounding error. $11.95 per employee is a ChatGPT seat. $7,400 per employee is a production token bill.

• Governance and retention now sit on the same invoice as the model. OpenAI’s Zero Data Retention preview and Anthropic’s covered-model retention are buying criteria, not footnotes.

What the Ramp AI Index is

The Ramp AI Index is a monthly series, published by Ramp’s Economics Lab, that counts U.S. businesses with an observed payment for an AI product or service and tracks how those dollars split across labs, models, and employees, using corporate-card, invoice, and ACH transactions on Ramp.

If you run a 2-truck HVAC shop, a 10-person marketing agency, or a solo clinic, you already generate the raw material this series is built from: a card swipe for a SaaS seat, a bill for an API, a receipt with a merchant name. The Index is that pile, counted. You should care before the piece goes deep because your AI bill is about to look like your software bill — a line item that finance cannot explain unless someone maps the receipt to a job. The constraint that broke is survey lag. Asking “do you use AI?” undercounts shops that already pay ChatGPT, Claude, or a token vendor and never tick a Census box.

A team already routing invoices and vendor bills through US Tech Automations can treat the Index as a budget signal, not a new stack. The receipt hop is the same hop as form-to-CRM automation for SMBs and accounting practice management software: capture the line, tag the owner, flag the spike.

Ramp’s own homepage at ramp.com says it serves 70,000 of the world’s most ambitious companies and that those teams grow 3.2x faster than the average American business. That sample skews tech, as TechCrunch noted. It is not the whole U.S. economy. It is a large paid-spend window.

What shipped in August 2026

Ramp economist Ara Kharazian dated the August letter August 12, 2026, covering July spend. TechCrunch wrote it up on August 20. Yahoo Finance / Quartz followed on August 21 and linked the primary at ramp.com/data/ai-index-august-2026.

According to the Ramp AI Index dashboard, overall paid adoption among Ramp firms sits at 55.7%, with a Census BTOS U.S. estimate of 21.6% drawn on the same chart. According to Ramp’s August 2026 letter, 43.5% of U.S. businesses in the sample paid Anthropic (up 1.1 percentage points month-over-month), OpenAI reached 39.7% (up 0.23 points), and xAI rose 0.94 points to 4%. Median AI spend is $11.95 per employee. The top 1% spend a median $7,400 per employee. The top 10% spent $650.

That is the whole object: a receipt series, a lab-share table, and a spend-per-employee distribution. It is not a census of every U.S. firm. Ramp’s methodology on the Index page says a firm has adopted AI if it has a positive transaction amount for an AI product or service in a given month, identified from merchant names and line-item text, with industry assigned via NAICS. Free tools and personal accounts are missed on purpose. The series undercounts those.

TechCrunch adds the March-to-July climb: the share paying for AI topped 50% in March and reached nearly 56% by July, matching the 55.7% dashboard print. According to TechCrunch, Anthropic hit 41% to OpenAI’s 39% in May, and as of July Anthropic has nearly 44% to OpenAI’s nearly 40%. OpenAI has not regained the lead. Kharazian told TechCrunch OpenAI is growing faster in Q3 to date, with a month still left in the quarter.

How the mechanism works

Ramp does not poll CFOs. It reads the bill.

The methodology says the transaction set is built from company models that extract line-item text from paid receipts and bills. Adoption is a binary: a positive AI payment that month. Spend per employee divides observed AI spending by matched employee counts. Product categories come from merchant names and line-item details. Model market share is a narrower sample: API costs among businesses using Ramp’s Token Spend Management product, which imports usage and billing data from connected providers.

That last hop matters. The August letter’s Fable 5 versus GPT-5.6 Sol token mix is not the full 70,000-firm Index. Kharazian says that token sample “skews slightly more tech-y,” so actual Fable adoption is likely even lower than the letter’s 6% of Anthropic tokens and 11.4% of Anthropic dollars. GPT-5.6 Sol was 25% of OpenAI tokens and 23% of OpenAI spend. Fable 5 generated about 75% as much model-attributed spend as GPT-5.6 Sol in July, at roughly $10 per 1 million tokens — about twice GPT-5.6 Sol (August letter).

Ramp’s token product page says it is trusted by 1,300+ businesses, that as of June 2026 it identified 12% of monthly AI spend as potential savings for the average business, and that 1 in 3 businesses found a lower-cost model alternative for the same work. As of June 2026, that page is the operational twin of the Index: one series counts who pays, the other tries to cap the bill.

The same exception queue already used for executive assistant task automation is the queue a shop needs for AI spend: a spike ticket, an owner, a limit. US Tech Automations workflows that already route receipts into a ledger can add the AI merchant as one more vendor code instead of a side spreadsheet.

Why the series landed now

Three constraints moved.

Surveys were too slow and too soft. Ramp’s Index methodology argues surveys underreport adoption when questions are unclear or technology is rising fast, and says the work builds on prior Census CES research. The Census Business Trends and Outlook Survey is the official high-frequency alternative: about 1.2 million businesses split into six panels of roughly 200,000, asked every 12 weeks, with data collection every two weeks, and an AI supplement on the questionnaire. According to Census’s May 26, 2026 BTOS story, overall AI usage hovered between 17% and 20% from December 14, 2025 to May 3, 2026, and 19.8% was the national rate as of May 3. Large firms look different: 37% of firms with at least 250 employees reported using AI; less than 20% of firms with four or fewer employees did. Information sat at 39.7% and Finance and Insurance at 33.9%, both above the national rate; Retail Trade was around 14%.

Labs started competing on receipts, not demos. Anthropic is shipping Fable and Mythos 5.1 as coding and knowledge-work models, with Opus 5 dated July 24, 2026 and Sonnet 5 dated June 30, 2026. OpenAI is pushing GPT-5.6 Sol. Ramp’s July letter already had Anthropic at 42.4% and OpenAI at 39.5% as of the June print (July 8, 2026 letter). The August print is that race, one month later.

The macro tape is not a boom that hides a software bill. According to the BLS Employment Situation for July 2026, nonfarm payrolls changed little (-23,000) and the unemployment rate was 4.1 percent. BEA’s second estimate has real GDP up 1.5 percent in 2026 Q2. The Federal Reserve board site shows a funds target range of 3.50% to 3.75% and July PCE inflation of 3.7%. Shops that add a $7,400-per-employee AI tail are doing it in a slow-growth labor market, not a 2021 refinance wave.

The SBA still frames the audience as capital, disaster, certification, and counseling — not model choice. That is why a receipt index is the SMB bridge: the federal small-business desk will not tell you whether Claude or GPT is on the card. The card will.

What the numbers actually say

Keep the labels. Dashboard adoption is one series. Lab share is a second. Token mix is a third, smaller sample. Spend per employee is a fourth.

July’s serving-platform share on the August letter is 6.1%, up 0.2 points, so the niche is still rising and still small.

USTA analysis

USTA analysis — derived only from the July spend-per-employee medians and the two adoption rates already cited.

Inputs: median firm $11.95 per employee; top 10% $650; top 1% $7,400 (August letter). Ramp paid adoption 55.7% versus Census overlay 21.6% (dashboard). Census national 19.8% as of May 3, 2026 (BTOS story).

Arithmetic: $7,400 ÷ $11.95 ≈ 619. The top 1% median is about 619 times the typical firm’s per-employee AI bill. $650 ÷ $11.95 ≈ 54, so the top 10% still sit ~54 times the median. A 10-person shop at the median is 10 × $11.95 = $119.50 per month. The same headcount at the top-1% median is 10 × $7,400 = $74,000 per month. Those are not “AI is expensive” slogans. They are two different products that share a category name.

Adoption gap: 55.7 − 21.6 = 34.1 percentage points between Ramp receipts and the Census overlay Ramp itself prints. 55.7 − 19.8 = 35.9 points against the May 3 BTOS national rate. Do not average them. One is paid transactions on a tech-skewed card network. The other is a nationally representative survey that, after November 2025, asks about AI “in any business function.” A 10-person agency that already pays ChatGPT will show up in Ramp and may still say “no” on a two-week BTOS window if the owner thinks the question means a production model.

What still has to be human

Retention is now a buying criterion. According to TechCrunch’s August 19, 2026 privacy piece, Anthropic’s covered-model policy lets the lab keep user data for 30 days, and OpenAI is previewing Private Safety Processing so it can monitor misuse without retaining customer content. OpenAI’s August 19 note says Zero Data Retention means OpenAI does not retain prompts or responses after a request is processed, that enterprise data is not used to train unless customers opt in, and that Private Safety Processing is being tested with early customers with a planned September rollout and white paper. Anthropic’s help article on data retention for Covered Models is the policy page that article is answering. A clinic or an agency that puts client files into a “covered” model is making a records decision, not a chatbot decision.

Risk management is still voluntary guidance. NIST’s AI RMF remains voluntary, released January 26, 2023, with a generative-AI profile (NIST-AI-600-1) on July 26, 2024 and an April 7, 2026 concept note on trustworthy AI in critical infrastructure. A 10-person shop will not implement the full Playbook. It can still copy three moves: name an owner for the AI bill, log which vendor holds which data, and set a spend cap before the top-1% tail arrives.

The state of small business automation is the operational twin of this Index: tools get bought on a card long before a policy binder exists. Pair the receipt with finance and accounting agents if the job is coding the vendor, not picking a lab.

Signal vs Speculation

Demonstrated fact (sourced). The Ramp AI Index exists as a public dashboard and a monthly economist letter, covering 70,000+ U.S. firms on Ramp card and bill pay (dashboard). Paid adoption prints at 55.7% against a 21.6% Census overlay on that chart. July lab shares are Anthropic 43.5%, OpenAI 39.7%, xAI 4% (August letter). Median spend is $11.95 per employee; top 10% $650; top 1% $7,400. Fable 5 is 6% of Anthropic tokens and 11.4% of Anthropic dollars in the token sample, at about $10 per million tokens. Census BTOS national use was 19.8% as of May 3, 2026, 17–20% over six months, with a large-firm / small-firm split (Census). Serving-platform users still buy the U.S. labs: 96.4% used OpenAI or Anthropic in the June print (July letter). OpenAI previewed ZDR-compatible Private Safety Processing on August 19, 2026 (OpenAI).

Our read: over the next 12–36 months, a 10-person shop will not live at $7,400 per employee. It will live near the $11.95 median until someone connects an API key without a limit. The Index is useful as a tripwire, not as a target. If your per-employee AI receipt crosses the top-10% $650 line, you have left “seat” spend and entered “token” spend. That is the moment to put a named owner, a monthly cap, and a retention check on the vendor — the same queue you already use for AP and CRM, including Fathom vs Jirav reporting and Drake vs ProConnect if tax and close are where the files live.

Our read: Anthropic’s lead in this sample is real and narrow. OpenAI growing faster in Q3 to date is also real and could reverse in a month, as TechCrunch warned. Do not rebuild workflows around one lab. Keep the worker behind the ticket swappable.

Frequently asked questions

What is the Ramp AI Index?

It is Ramp’s monthly receipt-based series of paid AI adoption and spend among 70,000+ U.S. businesses on its card and bill-pay platform, with lab share, spend per employee, and a narrower token-mix sample (Ramp AI Index).

Is 55.7% the U.S. business AI adoption rate?

No. It is the share of Ramp’s sample with a paid AI transaction that month. Census BTOS, a nationally representative survey, printed 19.8% as of May 3, 2026, and Ramp itself overlays a 21.6% U.S. estimate on the same dashboard.

Why is the median only $11.95 if the top 1% spend $7,400?

Because those are different products. $11.95 per employee is seat-like spend. $7,400 per employee is production token spend. The category name is the same; the bill is not.

Does Anthropic winning this sample mean Claude should be the default?

No. Anthropic leads this paid sample at 43.5% versus OpenAI at 39.7%, and the gap has moved month to month. TechCrunch’s read is that businesses flop as labs ship models. Keep the workflow, swap the model.

What should a 10-person shop actually do with this?

Multiply $11.95 by headcount for a median-like budget ($119.50 at 10 people). Put a hard cap before you approach the $650 top-10% line. Record which vendor retains prompts. Route the invoice through the same AP queue you already run.

Glossary

• Ramp AI Index: Ramp Economics Lab’s monthly series of paid AI adoption and spend from card, invoice, and ACH receipts.

• Paid adoption: Share of firms with a positive AI transaction in the month. Free tools do not count.

• Spend per employee: Observed AI dollars divided by matched headcount for that cohort.

• Token mix: Model-level share of API costs among firms on Ramp Token Spend Management, a narrower sample.

• Model-serving platform: A proxy Ramp uses for open-source and some non-U.S. models, still a single-digit share of AI-using firms.

• BTOS: Census Bureau Business Trends and Outlook Survey, a biweekly nationally representative survey of employer businesses.

• Zero Data Retention (ZDR): OpenAI’s promise not to retain prompts or responses after processing, now being extended with Private Safety Processing.

• Covered models: Anthropic’s higher-capability tier whose retention rules, including a 30-day hold described in press coverage, differ from default ZDR-like treatment.

What to do next

If AI is already on the card and nobody can name the owner, you are in the Index’s median-to-tail gap. Map the receipt, cap the key, and keep the worker swappable.

Walk that spend hop through agentic workflows for vendor receipts, or start from the US Tech Automations home page if you need the wider catalog. The Index is a flashlight. The queue is the job.