When companies get specific about AI, revenue growth looks different
A Carnegie Mellon and Larridin study of 564 companies links specific AI disclosures to 8 points higher revenue growth, not margins.
Researchers at Carnegie Mellon University and Larridin analyzed 564 companies across 12 sectors using 478 10-K filings, more than 30,000 classified job postings and an AI maturity tracker. Companies at the top of 'narrative concreteness', meaning they named deployed AI systems with measurable outcomes, were associated with 8.0 percentage points higher year-over-year revenue growth, while no public AI signal predicted operating margins or risk-adjusted stock returns. AI infrastructure suppliers outperformed matched peers by about 32 percentage points over four months. The authors stress the findings show association, not causation.
- Narrative concreteness in AI disclosures remained significant after industry, size and prior-growth controls
- AI-focused hiring showed no significant association with revenue growth
- Well-performing companies may simply have more resources to adopt, measure and disclose AI
- Vendors
- Larridin
- Organizations
- Carnegie Mellon UniversityLarridin
From the original article
3 min read at helpnetsecurity.com
Companies that provide specific evidence of how they use AI tend to record stronger revenue growth. Researchers at Carnegie Mellon University and Larridin examined a study universe of 564 companies across 12 industry sectors. Individual analyses used smaller samples depending on data availability.
By @helpnetsecurity · helpnetsecurity.com
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