
Despite $37 billion in enterprise AI spending (up from $1.7B in 2023), the gap between adoption and measurable business impact remains substantial.
The Numbers
| Metric | Reality |
|---|---|
| Organizations using AI | 78% in at least one function |
| Enterprise-level EBIT impact | Only 39% report it |
| AI initiatives failing outcomes | 70-85% |
| Companies abandoning most AI initiatives (2025) | 42% (up from 17% in 2024) |
The Three Tribes Framework
Successful implementations require balance across three archetypes:
- Explorers (45% of users): Surface opportunities, experiment broadly with new AI capabilities
- Automators (66% of API users): Operationalize discoveries through workflows and integrations
- Validators (20% across both): Safeguard standards, ensure quality and compliance
Key finding: Organizations skewed toward any single archetype consistently underperform. You need all three working together.
Where Value Concentrates
- Coding: $4B (55% of departmental AI spend)
- IT Operations: $700M
- Marketing: $660M
- Customer Success: $630M
The Bifurcation
Enterprise AI budgets will bifurcate — a small number of vendors capture disproportionate share while many see revenue flatten. The winners are those who can demonstrate measurable EBIT impact, not just adoption.
Learn how enterprises are navigating AI implementation challenges. Read the complete Updated Map of AI on The Business Engineer.









