The Enterprise EBIT Gap: 78% Adoption, 39% Impact

The Enterprise EBIT Gap: 78% Adoption, 39% Impact

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.

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