The AI Readiness Benchmark

Why Read This Research

Many institutions are measuring AI adoption, but very few are measuring AI readiness. This benchmark introduces a practical framework for evaluating whether institutions have the governance, data infrastructure, equity safeguards, workforce preparedness, and outcome measurement practices required to successfully scale AI. Rather than rewarding the number of tools deployed, the benchmark assesses institutional maturity and readiness, helping leaders identify strengths, gaps, and next steps for responsible AI implementation.

Key Questions Answered

• What does it mean for an institution to be AI-ready?
• How should institutions measure readiness rather than deployment activity?
• What governance, equity, and data capabilities are required to support AI at scale?
• How can institutions benchmark themselves against peers?
• Which readiness gaps most commonly prevent successful AI initiatives?

Features

• Research Category in Focus: AI Readiness & Institutional Maturity
• Future Campus Impacts: Governance, Strategy, Data Readiness, Workforce Development, Student Success, Digital Transformation
• Research Focus: Institutional AI Readiness Assessment and Benchmarking
• Research Availability: July 2026