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FollowingDay 5in the edition since 6 Nov 20264 sourcesupdated 6 Nov 2026

Menlo Ventures enterprise AI spending report

The gist

Latest: Menlo Ventures: Enterprise AI Spend Rose 5.4x to $177B in One Year

The figures show a sharp concentration of enterprise AI dollars around frontier models while open-source gains volume at economics that reduce its revenue share. The data covers how spend, token usage, and model-tier share shifted across a single year.

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The full picture

Menlo Ventures' 2026 State of Enterprise AI report puts enterprise AI spending at $176.8 billion, a 5.4x increase from $33 billion the prior year. The report is based on a survey of nearly 400 U.S. enterprise decision-makers overseeing more than $4 billion in AI spending. Frontier models now command 63% of enterprise AI spending, up from 35% between Q3 2025 and Q3 2026, with their token share climbing from 18% to 42%. Smaller closed models lost significant ground, dropping from 29% to 13% of spending share. Open-source models grew their token share from 11% to 19%, but their spending share fell from 6% to 4%, as average open-source token prices dropped 3.3x to $0.13 per million tokens versus roughly $0.70 for closed models. The report states open-source is gaining ground in usage but losing spending share. The report also states autonomous agents transformed how businesses use and pay for AI.

How it developed
First in the edition · 6 November 2026
5 November 2026in the 6 Nov edition

Menlo Ventures published its 2026 State of Enterprise AI report on November 3, finding total U.S. enterprise AI spending reached $176.8 billion, a 5.4x increase from $33 billion the prior year, based on a survey of nearly 400 enterprise decision-makers overseeing more than $4 billion in AI spending.

Frontier models captured 63% of spending and 42% of token share, up from 35% and 18%, while frontier labs' share of deployment spend grew from 50% to 69%. Open-source token usage grew 22.5x but spending share fell from 6% to 4%, as average open-source token prices dropped 3.3x to $0.13 per million versus roughly $0.70 for closed models.

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Sources

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