
AI Spending Growth Slows to 1.5% as Anthropic Nears IPO
By Ali Al-Montaser — Senior AI Technical Editor
Ramp data shows enterprise AI token spending growth decelerated to 1.5% in August–September from 42% in July, despite higher token volumes. OpenAI halved GPT-6 Sol and Luna API prices in September, while Anthropic's Fable 5.1 and Opus 5.5 cuts trimmed roughly $600 million from its revenue growth. Anthropic's potential valuation fell from $2 trillion to $1.2–1.3 trillion ahead of its IPO.
Executive Overview
Enterprise spending on AI tokens decelerated sharply in late summer 2026, according to a Ramp report published November 6, 2026. Token spending growth fell to just 1.5% in August and September, down from 42% in July, even as token volumes rose. The slowdown coincides with aggressive price cuts: OpenAI halved API prices for GPT-6 Sol and GPT-6 Luna in September, while Anthropic's reductions on Fable 5.1 and Opus 5.5 trimmed roughly $600 million from its revenue growth. The data arrives just before Anthropic's initial public offering, with its potential valuation cut from $2 trillion to $1.2–1.3 trillion.
📊 Official Data & Technical Specifications Card
| Technical Axis | Confirmed Official Data |
|---|---|
| 💰 Pricing & Usage Cost | OpenAI halved API prices for GPT-6 Sol and GPT-6 Luna in September 2026. Anthropic cut prices for Fable 5.1 and Opus 5.5, reducing its revenue growth by about $600 million. Median enterprise spend: $12–15 per employee per month; top 10%: $600–1,000; top 1%: near $10,000 per employee per month. |
| 🌐 Platforms & Immediate Availability | GPT-6 Sol and GPT-6 Luna are available via the OpenAI API. Anthropic's Fable 5.1 and Opus 5.5 are available via its platform and API. Ramp data covers enterprise spending platforms. |
| ⚡ Performance & Speed Benchmarks | Token spending growth: 1.5% in August and September vs. 42% in July, and 8.9% between September 23 and October 23. Top 1% spending slowed to below $10,000 per employee. |
| 🛡️ Security & Breach Resistance | The report did not include specific security data. The source noted expectations of a low-grade credit rating for Anthropic from rating agencies. |
| 🧠 Context Window | The report did not mention context window sizes for GPT-6 Sol and Luna or Fable 5.1 and Opus 5.5. |
| 🌍 Arabic Language Support & Region | The report did not address Arabic language support or regional availability. The models mentioned are globally available via API and subject to developer platform policies. |
Deep-Dive Features & Architecture
The Ramp report reveals that token spending growth decelerated to 1.5% during August and September, following 42% growth in July. Despite higher usage volumes, the top 1% of companies most aggressively adopting AI saw spending fall below $10,000 per employee per month after the summer peak. Median companies spend $12–15 per employee per month, while the top 10% spend roughly $600–1,000.
Ramp's chief economist, Ara Kharazian, attributed the slowdown to price competition rather than weak demand. OpenAI halved API prices for GPT-6 Sol and GPT-6 Luna in September, and Anthropic responded with significant cuts to Fable 5.1 and Opus 5.5 that reduced its revenue growth by about $600 million. Companies also shifted to open-source models from Meta, Nvidia, and developers in China and the U.S., as well as lightweight tools like Jev for selecting predefined outputs, further lowering costs.
October saw a reacceleration with 8.9% growth between September 23 and October 23, but Kharazian believes headwinds remain strong. This coincided with Anthropic's potential valuation cut from $2 trillion to $1.2–1.3 trillion, and OpenAI's proposed valuation reduced from $1.4 trillion to $1.25 trillion alongside a roughly $10 billion reduction in fundraising targets, according to Bloomberg.
Benchmark & Competitive Performance
According to Ramp data, spending growth slowed to 1.5% in August and September versus 42% in July, then accelerated to 8.9% between September 23 and October 23. Median companies spending $12–15 per employee per month outperform the top 10% ($600–1,000) and top 1% (near $10,000). This disparity reflects spending concentration in venture-backed tech companies, making their slowdown sufficient to decelerate overall revenues despite higher volumes.
Industry Impact & Enterprise Adoption
The price war benefits developers and enterprises through lower token costs, but the concentration of spending among a small cohort of heavy adopters creates fragility. As top-tier spending normalizes, AI providers face pressure to sustain revenue growth through volume rather than price. The simultaneous valuation cuts for Anthropic and OpenAI signal investor caution ahead of Anthropic's IPO, even as usage volumes remain elevated.
Conclusion
The Ramp data underscores a pivotal moment: AI spending growth has decelerated sharply from its summer peak, driven by price cuts and a shift toward cheaper open-source alternatives. While October showed a modest rebound, the competitive landscape and valuation adjustments suggest the market is entering a more disciplined phase. For developers, the halved prices for GPT-6 Sol and Luna and cuts to Fable 5.1 and Opus 5.5 present immediate cost savings, but the sustainability of AI revenue growth remains under scrutiny.
Media Source: TechCrunch AI | البيان الرسمي للشركة: المصدر الأصلي | Fact Verification & Analysis: AI Tools Oasis
Frequently Asked Questions
Token spending growth was just 1.5% during August and September, compared with 42% growth in July over the prior month, according to Ramp data.
OpenAI halved the API prices for GPT-6 Sol and GPT-6 Luna in September. The source did not specify the absolute price per million tokens.
Anthropic stated in a recent filing that price cuts for Fable 5.1 and Opus 5.5 reduced its revenue growth by approximately $600 million.
Median companies spend $12–15 per employee per month, while top 10% spenders pay about $600–1,000, and top 1% spenders approached $10,000 per employee at the summer peak.
Anthropic's potential valuation dropped from $2 trillion in early October to $1.2–1.3 trillion, with expectations of a low-grade credit rating, according to Bloomberg.

AI Tools Oasis Team
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