---
title: Firm-level AI Exposure: Measurement, Determinants, and Pricing Implications
url: https://www.ml-quant.com/papers/ssrn/7575518/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-10-09
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 7575518
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7575518
featured: 2026-10-09
citations: unknown
topic: ML & AI Methods
---


# Firm-level AI Exposure: Measurement, Determinants, and Pricing Implications

A natural-language analysis of 13,757 firms finds AI exposure surged after ChatGPT and predicts 1.37 percent higher annual returns, though the effect is concentrated after the launch and driven by firm-specific factors.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7575518
- Identifier: SSRN 7575518
- Released: 2026-10-08
- First featured: Quant Letter No. 134 (2026-10-09): https://www.ml-quant.com/issues/2026-10-09/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: ML & AI Methods
- Authors: Sakshi Basu, Chandra Thapa, Biwesh Neupane, Amlan Basu

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