AIDE Insights
Data-driven analysis on AI-Driven Enterprises, from boardroom strategy to implementation benchmarks.
Reports, Research and Board Briefs are AIDE Institute publications built on the AIDE Index dataset. Explainers are short reference guides that answer common questions about enterprise AI measurement. They are not reports, and they are separate from our commissioned research and assessment services.
How S&P 500 Companies Are Really Using AI: November 9, 2026 Update
What outcome-based AI contracts need to measure
Outcome-based AI contracts need clear measures for success. AIDE explains the baseline, data, timing, attribution, and dispute terms to define.
What companies need to measure after AI saves time
Time saved is task evidence. AIDE explains how unit-of-work records connect capacity returned to downstream results and AI ROI.
How S&P 500 Companies Are Really Using AI: November 3, 2026 Update
331 AI use cases from October 24 to October 30, with public sources, reported results or current status, and explicit exclusions.
The Complete Guide to Comparing Enterprise AI Adoption
Enterprise AI adoption becomes comparable when the definition stays fixed, the evidence is traceable, and the peer group is relevant.
What Happens After AI Makes the Work Faster
AIG's reported results in Anthropic's S-1 show faster quoting. AIDE explains why the AI business case depends on what happens after work gets faster.
How S&P 500 Companies Are Really Using AI: October 26, 2026 Update
The AIDE Institute tracks how S&P 500 companies use AI through public sources. The entries distinguish reported results from deployment announcements, targets and forecasts.
How S&P 500 Companies Are Really Using AI: October 22, 2026 Update
This update adds 100 new AI use cases from 68 S&P 500 companies, including UnitedHealth, Citigroup, Ulta Beauty, and Block, with sources and what each reported number measures.
AEP's 100.0 score reveals the utility AI proof gap
PwC's 2026 survey and AEP's AIDE Index scores show why utility AI needs inspectable evidence for reliability, deployment, and governance.
KPMG’s AI maturity findings gain context from AIDE's observable evidence
KPMG's Q3 2026 AI Pulse documents growing confidence in enterprise AI maturity. AIDE's public-evidence lens adds context on leadership capability, accountability and returns.
How S&P 500 Companies Are Really Using AI: October 15, 2026 Update
This update adds 122 new AI use cases from 71 S&P 500 companies, including Uber, T-Mobile, Booking Holdings, and Thermo Fisher, with sources and what each reported number measures.
How S&P 500 Companies Are Really Using AI: October 8, 2026 Update
270 new AI use cases from 107 S&P 500 companies, including Carrier, Freeport-McMoRan, McDonald's and Disney, with sources and what each reported number measures.
How S&P 500 Companies Are Really Using AI: October 1, 2026 Update
The October 1, 2026 update documents 389 new AI applications from 116 S&P 500 companies and 429 changes to previously tracked initiatives.
How the AIDE Index Measures AI Literacy (and Why 76.4% of S&P 500 Leadership Teams Fall Short)
AI literacy can be measured from public signals alone. The AIDE Index scores every S&P 500 leadership team on AI fluency. 76.4% fall short. Here is the method.
Employees Who Write About AI Rate Their Companies Lower, and Senior Leadership Much Lower
An analysis of 507,878 Glassdoor reviews of S&P 500 companies finds employees who mention AI rate their employer 0.42 stars lower, with confidence in senior leadership showing the widest gap of any category measured.
Enterprise AI Maturity Assessments: A Decision Guide
A board-level guide to evaluating AI maturity assessment services, evidence, independence, and intended use.
How to Choose AI Adoption Metrics in 2026
A practical framework for selecting AI adoption metrics that distinguish leadership signals, strategy, and implementation.
How to Measure Enterprise AI Transformation Progress
How organizations can measure AI-first progress across strategy, governed implementation, workflow adoption, and business outcomes.
How Enterprise Companies Use AI in 2026
How large enterprises use AI and how to distinguish experimentation, strategic commitment, and operational integration.
How Enterprise AI Rankings Give Boards Peer Context
How sector-relevant enterprise AI rankings add external context to board oversight of observable AI adoption.
Why Enterprise AI Maturity Benchmarking Requires Careful Design
How enterprise AI maturity benchmarks are designed, why results differ, and what boards should examine before relying on a score.
How Enterprise AI Adoption Works in Large Companies
How leadership signals, strategy, and implementation can advance at different speeds during enterprise AI adoption.
Enterprise AI Benchmarking Services: How to Compare the Options
A practical guide to comparing enterprise AI benchmarking services, evidence sources, cohorts, and decision uses.
In retail, the AI gap is no longer about adoption. It is about who can build.
AI adoption is now near-universal across major retailers. The AIDE Retail 100 shows the gap that matters has moved from intent to deployed capability, and it is widening.
The AI Hiring Boom Is Real. It Is Built for Experts.
New AIDE Institute analysis of more than 104,000 labeled job postings from S&P 500-tracked companies finds that 71% of AI-related roles are senior-level. Middle-tier roles account for 16%. Junior roles: 13%.
Retail's AI leaders are already pulling away
A joint AIDE Institute and Accenture assessment of the Top 100 US retailers finds the most AI-mature companies are growing shareholder returns 6.6x faster than the rest of the sector.
We Scored Every S&P 500 Company on AI. No Surveys. No Self-Reporting.
The 2026 AIDE Index scores all 500 S&P 500 companies on AI adoption, using only observable data. The results reveal a fundamental disconnect between who talks about AI and who is actually building with it.
How to Read the 2026 AIDE Index: A Sector-by-Sector Guide to the S&P 500's First AI Maturity Ranking
The 2026 AIDE Index scores every S&P 500 company on AI adoption across four pillars and 11 sectors, using only observable data. Here's how to navigate the rankings, understand the scores, and find what matters most to you.
How Do You Know Who's Doing AI Right?
Boards and investors keep asking how their company compares to peers on AI transformation. Twenty-one external reports, including the most rigorous, still don't answer it. Here's why surveys fall short, and what the AIDE Index measures instead.
The UK's first data-driven map of Industry 4.0 adoption
Commissioned by the Royal Academy of Engineering and conducted by the AIDE Institute, a measurement of digital technology adoption across 9,408 UK engineering firms finds four in ten have adopted, but depth runs shallow.
The AI Divide Is Already Here – Most Companies Just Can't See It Yet
A sharp divide in corporate AI adoption is emerging, where stated strategy often fails to correlate with actual implementation. The data reveals four archetypes of organizations.
The Problem with Measuring AI: Move from Hype to Real Understanding
Every major consulting firm has published an AI transformation playbook. Yet, when you measure what is actually happening inside organizations, the data tells a different story.
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