Data & Research
Data and research for the AI-driven enterprise.
The AIDE Institute produces data and research on enterprise AI adoption using methods suited to each research question. Our work ranges from the four-pillar AIDE Index of S&P 500 companies to job-posting analysis, sector-specific studies, and commissioned national research. Each publication identifies its own scope, evidence sources, and methodology.
Where would you like to start?
- 01
How does AIDE measure enterprise AI adoption?
The AIDE Index evaluates S&P 500 companies across four pillars using a consistent methodology and publicly available evidence.
- 02
How do companies rank within their sector?
Explore AIDE Index rankings across 11 S&P 500 sectors. Company scores and sector comparisons use the AIDE Index methodology.
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What does AIDE research show?
Browse studies that use different datasets and analytical frameworks to examine enterprise AI adoption, talent, sectors, and technology diffusion.
AIDE Institute research
Research built for the question at hand.
AIDE Institute studies do not all use the same dataset or scoring model. Review each publication’s scope, evidence sources, and methodology before comparing its findings.
AIDE Institute
AI Hiring Report
Analysis of 161,645 public LinkedIn job advertisements from nearly 500 S&P 500 companies, including 8,140 roles classified as AI-related. This study analyzes hiring activity and seniority, not companies’ full AIDE Index scores.
Read the report View the hiring-data methodologyWith Accenture
The AI-Driven Retail Enterprise
A joint AIDE Institute and Accenture assessment of the Top 100 US retail companies. The study applies an AIDE-derived four-dimension framework to observable retail signals, including job postings and patents, and separately examines relationships with financial performance.
Read the report View the retail research methodWith the Royal Academy of Engineering
UK Industry 4.0 Readiness
A commissioned study with the Royal Academy of Engineering measuring Industry 4.0 adoption across 9,408 UK engineering firms. It uses five digital evidence channels, a curated dictionary of 250 terms, and ten technology pillars.
Read the report View the Industry 4.0 methodologyDifferent questions require different methods.
The AIDE Index and each AIDE Institute research publication have distinct cohorts, evidence channels, analytical methods, and limitations. Use the methodology associated with the specific dataset or publication.