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Menlo Ventures 2026 State of Enterprise AI: Enterprise AI Spend Hits $176.8B, Up 5.4x, as Anthropic Takes 55% of Enterprise API Spend

On November 3, Menlo Ventures released its fourth annual enterprise AI report. It estimates enterprise spending on using AI reached $176.8B by September 2026, up 5.4x from $33B in 2025. In enterprise LLM API spend, Anthropic rose from 40% to 55%, OpenAI from 27% to 31%, and Google fell from 21% to 9%. Coding is the largest app category at $34.0B. Figures come from a survey of about 400 US enterprise AI decision-makers plus third-party data, so they are estimates; Menlo is an Anthropic investor.

Menlo Ventures 2026 State of Enterprise AI: Enterprise AI Spend Hits $176.8B, Up 5.4x, as Anthropic Takes 55% of Enterprise API Spend

Key Takeaways

  • Enterprise AI deployment spend: $1.7B (2023) to $8.5B (2024) to $33B (2025) to $176.8B by Sep 2026, up 5.4x vs 3.9x last year (Menlo estimate)
  • Enterprise LLM API spend share: Anthropic 55% (from 40%), OpenAI 31% (from 27%), Google 9% (from 21%); open-source models are about 19% of usage but only 4% of spend
  • App-layer spend is about $77.3B: coding $34.0B and chatbots/productivity $25.0B make up 76%; Claude Code and Codex account for $24.0B (70%) of coding spend
  • On OpenRouter, agents generate 80% of tokens (about 130.9T per week), roughly 7x human usage, and have grown 37x since overtaking human traffic in February
  • 55% of incremental AI spend comes from net-new budgets and 22% from existing software budgets; the share of enterprises paying for AI rose only from 55% to 65%
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Alphabet Q3 2026: revenue up 25% to $127.6B, Google Cloud up 103%, first-party model APIs near 32B tokens per minute

After the US market close on Oct 28, Alphabet reported Q3 2026 results: revenue rose 25% to $127.6B, and Google Cloud revenue more than doubled, up 103% to $30.7B, which the company attributes to enterprise AI infrastructure, AI solutions and TPU system sales. In the release and on X, Sundar Pichai said first-party model APIs now process nearly 32B tokens per minute, more than four times a year ago, and that the Gemini app has reached one billion users. The cost: Q3 capital expenditures of $51.4B and free cash flow of negative $9.1B.

Alphabet Q3 2026: revenue up 25% to $127.6B, Google Cloud up 103%, first-party model APIs near 32B tokens per minute

Key Takeaways

  • Revenue of $127.58B, up 25% year over year and the 13th straight quarter of double-digit growth; Pichai says Alphabet is on a $500B annual revenue run rate
  • Google Cloud revenue of $30.71B versus $15.16B a year ago, up 103%; Cloud operating income of $11.12B versus $3.59B
  • First-party model APIs process nearly 32B tokens per minute, more than 4x a year ago; Pichai's X post puts quarter-over-quarter growth at 40%
  • The Gemini app reached one billion users, which Google calls the fastest-growing product in its history; Search query growth is the highest in five years
  • Q3 capex of $51.36B versus $23.95B a year ago, and free cash flow of negative $9.07B, the second negative quarter in a row
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Cohere boosts Command R+ code tool-use with nested multi-level JSON schema support and automatic retry loops

Enterprise AI platform Cohere hardened tool-use capabilities in Command R+. For intricate CI/CD pipelines and cloud orchestration, the model now natively handles deeply nested (5+ levels) JSON schemas with self-correcting retry loops upon parameter validation failure, cutting enterprise workflow aborts by 75%.

Key Takeaways

  • Outputs strictly formatted parameters for deeply nested (5+ levels) JSON schemas.
  • Built-in parameter validation self-correction reduces workflow aborts by 75%.
  • Available across Cohere API, AWS Bedrock, and Microsoft Azure AI.
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Cohere releases its first open-source coding model: North Mini Code (30B/3B active, Apache 2.0)

Enterprise AI lab Cohere released North Mini Code, its first open-source coding model. Built on a 30B total / 3B active lightweight MoE architecture under Apache 2.0, it is tailored for local agentic debugging and unit testing. Weights are available on Hugging Face with native Ollama and OpenRouter support.

Key Takeaways

  • Cohere's first dedicated open coding model under the permissive Apache 2.0 license.
  • 30B total / 3B active MoE footprint designed for local execution and high-frequency agent loops.
  • Instant support across Ollama and OpenRouter for plug-and-play local agent workflows.
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