New Ramp AI Index data covering 70,000 US businesses shows Anthropic at 43.5% adoption vs OpenAI at 39.7%, with AI spend growth slowing and open-source models rising fast.
Ido Cohen · Published 2026-08-24 · AI for Service Business
The clearest public scoreboard for business AI spending just dropped, and the numbers are more complicated — and more actionable — than the headlines suggest. Ramp, the corporate card platform that tracks real transaction data from more than 70,000 American businesses, published its August 2026 AI Index this week, and it landed in TechCrunch, Quartz, Crypto Briefing, and a dozen other outlets within 48 hours. The headline is that Anthropic has extended its lead over OpenAI among paying business users. But buried two layers down is a warning every service business owner needs to read: AI spending growth is hitting a ceiling, open-source models are quietly eating into the big labs' pipeline, and the premium models you're being asked to pay more for may not be worth the upgrade. Here's what the data actually says and what it means for a plumber, dentist, real estate agent, or HVAC shop deciding where to put their AI dollars right now.
Most AI adoption data comes from vendor-funded surveys asking executives if they "use" AI. That is not what Ramp publishes.
Ramp's AI Index is built on actual payment transactions, not survey responses. According to Ramp's own methodology description, the index identifies exactly when a business transitions from experimentation to a paid commitment by processing billions of dollars in real corporate card spend. If a company is paying for it, it shows up. If they are just talking about it, it does not. That makes the Ramp AI Index one of the most reliable publicly available reads on where business AI dollars are actually going month to month. The August 2026 edition covers more than 70,000 American businesses — a dataset large enough to spot real trends, not noise.
The caveat worth noting: Ramp's customer base skews toward tech companies and growth-stage firms, given the platform's popularity in Silicon Valley. It underrepresents large enterprises that manage spend through platforms like American Express, and it may not perfectly mirror the typical plumbing company or dental practice. But Ramp economist Ara Kharazian's data is the best real-money signal available, and the trends it reveals apply up and down the market.
Anthropic leads, OpenAI is fighting back — but the token-level story flips the narrative.
According to the Ramp AI Index published this week, as of July 2026, Anthropic held 43.5% of U.S. businesses as paying customers, up 1.1 percentage points month over month. OpenAI trailed at 39.7%, gaining only 0.23 percentage points over the same period. This is a market that OpenAI dominated for three straight years — ChatGPT launched in late 2022 and held the commanding lead through most of 2024 and into 2025. Anthropic only crossed the 9% business adoption mark as recently as May 2025, according to Crypto Briefing's analysis. By May 2026, it had vaulted past OpenAI for the first time, hitting 41% to OpenAI's 39%. By July 2026, the gap had grown to roughly 4 percentage points.
But here is where it gets interesting for anyone choosing between the two: per TechCrunch's coverage, OpenAI is currently growing faster among Ramp's business users in Q3 to date, meaning the gap may be narrowing again. And the token-level data tells a sharply different story. OpenAI's GPT-5.6 Sol accounted for 25% of tokens and 23% of corporate spend in July. Anthropic's Fable 5 — widely regarded as the most capable model released this year — represented just 6% of tokens and 11.4% of spend, according to Crypto Briefing. In plain terms: more companies are signing up for Anthropic, but the ones using OpenAI are using it far more intensively.
Here is a simple breakdown of where the four main providers stand with U.S. businesses as of July 2026, per the Ramp AI Index and supporting coverage:
This is the part the headlines glossed over, and it matters most for service businesses deciding whether to increase their AI budget.
The August 2026 Ramp AI Index is titled "Cracks in the AI Thesis" — and Ramp's own economist said businesses appear to be hitting their limit on AI spend. Adoption of both OpenAI and Anthropic has slowed in recent months. The reason is not that businesses are switching to Chinese models or pirating software. According to Ramp's data, first-time AI buyers are still choosing the big American labs. The problem is that the pool of first-timers is shrinking. Future growth has to come from getting existing customers to spend more — and that is where the market is showing friction.
The starkest example is Anthropic's Fable 5, which the company released as its most powerful model ever. Ramp economist Ara Kharazian reported that one month after launch, businesses simply are not using it much. Fable 5 costs more than prior Claude models, and from what the Ramp data shows, businesses have found a ceiling: more performance is not worth the higher price tag for most workflows. Open-source models are now only a few months behind frontier models in capability, according to Ramp's own analysis, which makes the premium over cheaper alternatives harder to justify.
This is a direct signal for a service business owner. The most expensive AI tier is not necessarily the right move. The best model is the one that fits your actual use case at a price your business can sustain.
You don't need the most powerful AI model. You need the right one for your specific jobs.
Service businesses — HVAC companies, dentists, real estate agents, med spas, contractors, financial advisors — typically use AI for a narrow set of tasks: drafting review responses, writing service pages and blog posts, summarizing notes from client calls, generating social media content, and handling first-contact inquiries via chatbot or email. None of those tasks require Anthropic's Fable 5 or OpenAI's most advanced GPT-5.6 tier.
Here is how to think about this practically:
For content and copywriting: Both Claude (Anthropic) and ChatGPT (OpenAI) perform well on standard marketing copy at their base subscription tiers. The $20–$30 per month plans for both are more than sufficient for drafting emails, service descriptions, and blog posts. You do not need enterprise API tokens.
For longer document work (contracts, intake forms, detailed proposals): Anthropic's Claude has traditionally offered larger context windows — the amount of text it can read and process at once — which matters for legal or financial services businesses handling dense documentation. The Ramp data showing Anthropic's strength "concentrated in high-adoption verticals like finance and technology" tracks with this.
For integration into your existing tools: OpenAI's ecosystem is deeper. ChatGPT integrates with more third-party platforms, CRMs, and marketing tools than Claude does today. If you are running automation through Zapier, Make, or your CRM, the ChatGPT connector is often more stable and better documented.
For cost-conscious experimentation: The open-source model surge is real. Per the Ramp AI Index, 6.1% of businesses using AI are now paying for model-serving platforms that route through open-source and lower-cost models. Tools like OpenRouter, Ollama, and similar platforms let you access capable models for a fraction of the price. For a single-location service business, this is worth investigating if your use case is straightforward.
The business AI market scoreboard changes every month. For service businesses, the tool that connects to your workflow beats the tool that scores highest on a benchmark.
It is easy to read the Ramp data and conclude you should immediately switch your team from ChatGPT to Claude because Anthropic is "winning." That would be the wrong takeaway. The Ramp data covers more than 70,000 businesses, but Ramp's own researchers note the sample skews tech-heavy and may not reflect the typical service business. More importantly, which AI is leading in total business adoption by 4 percentage points is less consequential than whether your specific AI setup is actually saving your team time, producing content that converts, and integrating cleanly with the tools you already use.
What the data does tell you: the market has genuinely bifurcated between Anthropic and OpenAI, both tools have large and growing support ecosystems, and neither is going anywhere. The era of being "too early" to commit to one is over. What that means practically is that if you have been dabbling with a free tier and not committing to a workflow, the businesses competing with you in your market probably already have. Per the Salesforce Agentic Enterprise Index, also published in August 2026, the average organization running AI agents has gone from 5 active agents in early 2025 to 13 by April 2026 — a nearly threefold increase in 15 months. Service businesses sitting on the sidelines are falling further behind every quarter.
These are not theoretical recommendations. Each one can be done in under an hour.
1. Audit what you are actually paying for. Pull up your business credit card and check every AI subscription. If you have a ChatGPT Plus or Claude Pro subscription that your team uses fewer than three times a week, you are overpaying for the tier you are on. Downgrade or share login access across staff for the tasks that do not require advanced features.
2. Pick a primary AI for content, stick with it for 90 days. The biggest productivity waste for service businesses right now is switching tools constantly based on the news cycle. Pick either Claude Pro or ChatGPT Plus as your content and copy tool. Build three to five prompts your team reuses (review response, service page draft, email follow-up). Run those prompts consistently for a full quarter before evaluating a switch.
3. Do not upgrade to premium/enterprise tiers unless you have a specific reason. The Ramp data shows that even sophisticated businesses are not finding value in Anthropic's top-tier Fable 5. The standard subscription tier handles the vast majority of service business AI tasks. If you are thinking about upgrading purely because a newsletter said the new model is amazing, pause and re-evaluate in 60 days.
4. Look at one open-source option. If your primary AI use is generating first drafts of content that a human edits anyway, spend 30 minutes this week looking at OpenRouter or a similar platform. The Ramp data shows 6.1% of businesses are going this route — and the capability gap versus frontier models continues to shrink.
5. Set a monthly AI budget cap. Ramp's data suggests businesses are hitting a spending ceiling on AI. Get ahead of that by setting a deliberate monthly budget — even $100 per month for a small service business is real money — and evaluating whether each tool is producing measurable output (time saved, leads generated, content published).
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Should my service business be using Anthropic's Claude or OpenAI's ChatGPT?
Both are legitimate choices and both have large, stable ecosystems. If your team does a lot of document-heavy work — reading contracts, summarizing long reports, processing client intake files — Claude's historically larger context window gives it an edge. If you need deep integration with third-party marketing tools and CRMs, ChatGPT's ecosystem is currently broader. For most service businesses doing standard content and copywriting, the differences at the base subscription tier are minor. Pick one, build repeatable prompts, and commit to it for at least a quarter before switching.
What is the Ramp AI Index and is it reliable?
The Ramp AI Index tracks actual payment transactions from more than 70,000 American businesses using Ramp's corporate card and expense management platform. Because it is based on real spending rather than surveys, it reflects genuine budget decisions rather than self-reported intentions. Ramp economist Ara Kharazian publishes it monthly. The main limitation is that the sample skews toward tech-forward companies, which may overrepresent AI adoption compared to the average HVAC company or dental practice. It is the most reliable public signal available on business AI spending, but treat it as directional rather than exact.
Is it worth upgrading to a premium or enterprise AI tier as a small service business?
Almost certainly not yet. The Ramp data from August 2026 shows that even Anthropic's flagship Fable 5 model — widely regarded as the most capable AI model ever released — is seeing low business uptake because the price premium is not justified for typical workflows. Standard $20–$30 per month subscriptions handle the overwhelming majority of service business use cases. Save the enterprise budget conversation for when you have a specific, high-volume workflow that is genuinely bottlenecked by the base tier's limits.
What are open-source AI models, and should I care about them?
Open-source AI models are AI systems whose underlying code and weights — the mathematical rules that govern how the model behaves — have been publicly released, meaning anyone can run them. Model-serving platforms like OpenRouter provide access to these models, often at a fraction of the cost of OpenAI or Anthropic subscriptions. The Ramp data shows 6.1% of businesses now pay for access to these platforms. For service businesses generating content that gets human review before publishing, open-source models are increasingly worth considering as a cost-saving option. They are not yet at full parity with frontier models for complex reasoning, but the gap is closing.
How should I think about the AI market changing so fast when I am trying to run a real business?
Treat the AI tool market the way you treat a new supplier: give them a real trial, measure the output, and switch only when a competitor offers a meaningfully better deal for a specific need — not because of headlines. The Ramp data shows businesses are hitting a spending ceiling, which is actually good news for service businesses: it means the market is maturing and you do not need to keep chasing every new model release. Build a stable AI workflow around a few use cases (content drafting, review responses, intake automation), measure the time and money it saves, and revisit your tool choices quarterly, not weekly.
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