Where the AI Money Actually Went
Enterprise AI deployment spending hit $176.8 billion by September 2026, up from $33 billion in 2025. That is a 5.4x increase. The data comes from Menlo Ventures, a US venture firm that surveyed nearly 400 enterprise decision-makers controlling more than $4 billion in AI spend.
For anyone selling AI tools to sales teams, the budget source matters more than the total market size.
55% of incremental AI spend came from new budget. 22% came from software budgets. The rest came from labour and other lines.
Of that 22% from software budgets, incumbents kept 13 percentage points by converting existing seat licences into AI products. AI-native vendors got 9 points, or $12.6 billion.
What This Means for Sales Tool Vendors
Sales AI captured $1.4 billion in enterprise spend. Coding tools took $34 billion. Workplace assistants and chatbots took $25 billion. Together, coding and productivity tools represent 76% of AI application spend.
The fastest-growing categories share three conditions: agents can take action in connected systems, the context they need is available, and outcomes can be verified. Customer support meets all three, which is why Sierra and Decagon lead that category at 4.3x growth.
Sales does not meet all three yet. Worth noting: there is still no good AI account executive. The work that has moved to agents is SDR outreach, first-line support, and parts of customer success.
The Incumbent Advantage
ServiceNow has 91% of AI spend in IT. Workday has 68% in HR. Where the incumbent owns the workflow, the data, and the permissions, the incumbent captures the AI spend.
Menlo estimates AI cut application SaaS growth from about 13% to about 11% on a market of more than $600 billion. That is roughly $12 billion of growth that did not happen. For an individual seat-priced company, it shows up as a flat year.
ROI Reality Check
The average enterprise spent about 2.5x its AI plan. The median spent about 1.2x. A small group of power users drives the totals. When you are building a business case for AI tools to a CRO, the budget discussion is not just about software line items anymore.
Anthropic, Google, and OpenAI captured 69% of enterprise AI spending. The competitive pressure on smaller vendors is to establish differentiated use cases and distribution, not to compete on foundation models.
This is US data. ANZ spending patterns and budget cycles do not map directly. But the trend is clear: if your AI tool replaces a seat-priced product, you are competing for the smallest pool. If it unlocks headcount budget or new initiative funding, the pool is several times bigger.