Tracking business opportunities for climate solutions using AI in regulated accounting reports

Area of Science:

• Business and Economics
• Environmental Science
• Artificial Intelligence

Background:

• The transition to a low-carbon economy presents significant business opportunities, but research often emphasizes risks.
• Identifying firms actively contributing to climate solutions is crucial for understanding economic shifts.

Purpose of the Study:

• To develop and validate a metric for identifying firms advancing climate solutions using AI.
• To analyze business opportunities, political divides, and industry convergence related to climate solutions.

Main Methods:

• Applied large language models to analyze 39,710 10-K filings from 4,483 U.S. firms (2005-2022).
• Developed a metric to quantify firms' engagement in climate solutions.
• Validated the metric against policy shocks (Inflation Reduction Act) and green revenue indicators.

Main Results:

• A rising emphasis on climate solutions was observed, with firms engaged in these areas showing higher revenue growth.
• A modest political divide was found, with firms in Republican-leaning states showing lower engagement, particularly for high-cost technologies.
• Industry convergence around shared technologies was indicated by increased stock return synchronicity.

Conclusions:

• AI-based analysis of regulatory filings can effectively uncover climate-related business opportunities.
• Firms focused on climate solutions demonstrate strong growth potential, influenced by sector-specific factors and policy.
• Understanding industry convergence is key to navigating the evolving low-carbon economy.