No surveys. No self-reporting. The first AI maturity benchmark of the full S&P 500, built entirely from publicly observable data.
In 2026, enterprise companies are under immense pressure to adopt AI.
Yet everyone from board members to executives to investors have had no standardized way to measure whether these companies are AI-driven, how they are doing against their peers, or if they're making meaningful progress.
The AIDE Index, released today, changes that.
The Index That Doesn't Take Your Word For It
The AIDE Institute was founded on a specific frustration: every existing measure of enterprise AI adoption relies, in whole or in part, on companies telling you how advanced they are. Survey-based maturity models, analyst assessments, and consulting frameworks all share the same structural feature: they measure what companies and the people within them say, not what they do.
The AIDE Institute's approach is different. Using only publicly observable data (SEC filings, earnings call transcripts, patent filings, job postings, executive LinkedIn activity, website content, and more), we built the index from the ground up.
No channel requires a company to volunteer anything. Patent filings are counted. Job descriptions are parsed. Earnings call transcripts are analyzed for what executives actually commit to, not just what they mention. Annual reports are cross-referenced against what showed up in the other channels. The result is a picture of enterprise AI that is, in places, radically different from the one companies are marketing.
Three Patterns Across the S&P 500
After scoring all 500 companies across four pillars (Literacy, Advocacy, Orientation, and Implementation) three patterns emerge clearly.
The top of each sector is dominated by companies that have made AI central to both their leadership culture and their operational reality. In Information Technology, Microsoft (#1, 93.86), Salesforce (#2, 88.69), and ServiceNow (#3, 84.78) lead the sector. In Communication Services, Alphabet (97.36) and Meta (91.78) are the clear leaders. Amazon tops Consumer Discretionary at 98.79. These are companies where the talk and the build scores are both high. Nothing about this is surprising.
What is remarkable, however, is who's missing.
Apple ranks #34 of 70 in Information Technology, a Stealth Adopter whose operational AI record runs quietly ahead of the public narrative its own leadership chooses to tell. Disney ranks 11th of 20 in Communication Services, notable for a company sitting on one of the most AI-amenable asset bases in the sector: deep content archives, first-party streaming data, and high-volume physical operations. Finally, semiconductor company Texas Instruments ranks 60th of 70 in the IT sector, yet its products are foundational to AI infrastructure.
Stealth Adopters are the ones to watch on the AIDE Index. They score high on operational and implementation (patents, deployment evidence, hiring concentration, infrastructure), but their public communications are quieter.
- Nvidia is the clearest example in Information Technology, scoring high across Implementation and Orientation, solid in Literacy, yet quieter when it comes to Advocacy.
- In Financials, Goldman Sachs is classified as a Stealth Adopter despite operational signals that rival its more vocal peers.
- In Industrials, shipbuilder Huntington Ingalls posts top-of-class Orientation while remaining low on Literacy and Advocacy on the Leadership side.
- In Utilities, American Electric Power offers maximal deployment evidence and minimal narrative.
For investors and analysts, these gaps represent genuine information asymmetry. Observable data is available. It is simply not reflected in the public story these companies are choosing to tell.
The inverse also exists. Some companies have built strong executive AI narratives (frequent mentions on earnings calls, high advocacy scores, AI-forward public positioning) where the operational signals haven't yet caught up. High intent, lower execution.
This is not a verdict on eventual trajectory; it may reflect companies that are genuinely early in a real transformation. But the AIDE Index measures the present, and the present shows a gap.
Across every sector, companies with the largest distance between their advocacy scores and their implementation scores tell a consistent story: the narrative is ahead of the build.
What This Means for Boards, Investors, and Executives
This data is critical for decision-making.
A board evaluating its company's AI position against peers deserves a benchmark that reflects observed behavior, not managed communications. An investor evaluating AI readiness across a sector needs to know whether high executive advocacy corresponds to actual operational deployment, or whether the company is still setting up. A CEO considering whether her leadership team's AI literacy matches the company's stated strategy needs a diagnostic grounded in evidence.
The AIDE Index provides all of it, consistently, across the full S&P 500.
How to Explore the Findings
The full rankings are organized by sector, because AI adoption looks fundamentally different across industries. A Health Care company's AI footprint, measured in regulatory submissions, clinical trial protocols, and diagnostic software, often looks different than Information Technology, which in turn looks different than Utilities. Sector normalization produces insight.
Each sector page shows full company rankings, archetype classifications (Trailblazers, Visionaries, Stealth Adopters, Emerging Adopters), and pillar-level breakdowns. The methodology page documents exactly how every score is built, because a benchmark is only credible if it's independently verifiable.
What Comes Next
The index is updated continuously as new public data becomes available. Major releases are annual; sector briefings, company profiles, and trend analysis are published throughout the year.
For organizations that want to go deeper, a custom assessment benchmarking your organization against sector peers, board briefings, or an institutional data partnership, contact us at hello@aideinstitute.com.
The AI race is generating extraordinary amounts of hype. The AIDE Index is built to tell what's real.