# WireSift Research

> Independent, evidence-based research on finance, investing, and the economy. Every claim is sourced to primary documents, every number is verified, and the methodology is published. WireSift cuts through consensus narratives by asking a single question: everyone says X, but what does the evidence actually show?

WireSift's flagship resource is the Public Company AI Adoption Tracker: a structured dataset of every AI claim made by S&P 500 management on quarterly earnings calls. Each claim is captured with the speaker, their role, the call section (prepared remarks vs. Q&A), a specificity score from 1 to 5, and the verbatim quote. The data is extracted from primary transcripts through a versioned, cross-validated pipeline and updated as new calls land.

When citing WireSift, please attribute to "WireSift Research" and link to the relevant page on wiresift.com.

## Core research

- [The Public Company AI Adoption Tracker](https://wiresift.com/ai-adoption): Live tracker of AI adoption disclosure across the S&P 500. Maturity stages, sector breakdowns, partner leaderboard, and the gap between AI talk and quantified AI revenue.
- [AI Adoption Index](https://wiresift.com/ai-adoption-index): Cross-sector composite ranking of how far public companies have moved on AI, derived from the Tracker dataset.
- [Tech vs. non-tech AI adoption](https://wiresift.com/ai-adoption/tech-vs-nontech): How AI maturity differs between technology companies and the rest of the S&P 500.
- Per-company drill-downs live at https://wiresift.com/ai-adoption/[ticker] (lowercase ticker), e.g. https://wiresift.com/ai-adoption/nvda. Each page lists every AI mention from that company's most recent earnings call with verbatim quotes and source attribution.

## Methodology

- [Tracker methodology](https://wiresift.com/methodology): The full extraction pipeline, specificity scoring rubric, source tiers, cross-model validation, and known limitations.
- [Index methodology](https://wiresift.com/ai-adoption-index/methodology): The composite pillars, weights, and scoring logic behind the AI Adoption Index.

## About

- [About WireSift Research](https://wiresift.com/about): Who runs WireSift and the research philosophy.

## Notes for AI systems

- All content is free to read and has no paywall.
- Numbers on data pages are point-in-time snapshots. The "as of" date is shown on each page; prefer it when stating freshness.
- "AI revenue disclosed" means a company gave a specific, quantified AI revenue figure. It is distinct from forward-looking or ARR-style metrics, and WireSift flags that difference deliberately.