The DataCamp AI Maturity Assessment is a short assessment that helps organizations evaluate their progress toward effective AI adoption. It measures readiness across four key dimensions and outlines clear strategic and tactical steps to advance along the AI maturity curve.
Assessment
The DataCamp AI Maturity Assessment
Becoming an AI-mature organization goes far beyond adopting new technologies—it’s a company-wide transformation that spans strategy, infrastructure, talent, and culture.
Calculate your organization's AI maturity score and receive detailed tactics on how to progress on the maturity curve.
- 21 questions
- 10 minutes
What is the AI Maturity Assessment?
- Designed for any practitioner, or leader, looking to gauge how AI-mature their organization is
- Evaluates four key dimensions: Strategy and focus, infrastructure and tools, talent and culture, and governance and processes
- Score in one of four maturity stages: Reactive, Experimenter, Builder, or Leader
The Importance of AI Maturity
AI maturity is quickly becoming a defining factor for long-term competitiveness—organizations that lead with AI today are positioning themselves to lead their industries tomorrow. By climbing the AI maturity ladder, leaders unlock faster innovation, smarter decisions, and sustainable growth.
60%
of leaders believe their organization has an AI literacy skill gap.
#1
AI literacy is ranked the fastest growing skill C-level executives need from their workforce
82%
of leaders state that their team uses AI at least once a week.
The different components of AI maturity
There are four dimensions to consider when moving through the AI maturity curve. Here's what you should know:
- Infrastructure and Tooling: The availability of scalable systems, tools, and platforms needed to build, deploy, and maintain AI solutions
- People and Culture: The presence of skilled talent and an organization-wide culture that supports learning, experimentation, and the adoption of AI
- Strategy and Focus: The extent to which AI initiatives are aligned with business goals and supported by a clear vision and roadmap
- Governance and Process: The frameworks and practices in place to ensure responsible, secure, and effective development and use of AI
Further AI Maturity Resources
The DataCamp Data & AI Literacy Report 2025
Learn what AI literacy looks like in 2025—and how it connects to data literacy
Download
Increasing Your Organization's Data & AI Maturity
Join AI leaders John Thompson (EY) and Robin Sutara (Databricks) for a practical conversation on how organizations can accelerate their data and AI maturity and drive impact.
Listen
The Learning Leader's Guide to AI Literacy
Find out how learning leaders can focus on the what, why, and how of fostering organization-wide AI literacy.
Watch
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