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Author:Soto, Paul E. 

Working Paper
Research in Commotion: Measuring AI Research and Development through Conference Call Transcripts

This paper introduces a novel measure of firm-level Artificial Intelligence (AI) Research & Development—the AIR Index—derived from the semantic similarity between earnings conference call transcripts and leading AI research papers. The AIR Index varies widely across industries, with sustained strength in computer and electronic manufacturing, and accelerating growth in computing infrastructure and educational services seen after the introduction of ChatGPT in November 2022. I find that the AIR Index is associated with an immediate increase in Tobin’s Q and can help explain the ...
Finance and Economics Discussion Series , Paper 2025-011

Discussion Paper
The AI Buildout and the Economy: Publicly Available Data to Assess AI's Impact

This note presents publicly available indicators that can help researchers and policymakers track the evolution of the generative AI buildout and its potential impact on the economy on a timely basis. We organize the indicators into three categories: capabilities and costs; firm investment and adoption; and productivity and labor.
FEDS Notes , Paper 2026-07-17-2

Working Paper
AI and Coder Employment: Compiling the Evidence

We evaluate whether LLMs have had any discernible impact on the aggregate labor market so far. We focus on occupations that are computer programming-intensive, motivated by data showing that coding is one of the most LLM-exposed tasks. Linking O*NET to CPS we find that aggregate employment of coders has decelerated sharply since the introduction of ChatGPT. Using a novel control variable for industry-level shocks we show that the deceleration is not attributable to the exposure of coders to slowing industries, suggesting instead that coders experienced an occupation-specific shock around ...
Finance and Economics Discussion Series , Paper 2026-018

Discussion Paper
Measurement and Effects of Supply Chain Bottlenecks Using Natural Language Processing

Supply chain bottlenecks can have significant impacts on the real economy. When firms experience shortages, shipping delays, or shutdowns, as occurred during the COVID-19 pandemic, they may be unable to produce, transport, and sell their products.
FEDS Notes , Paper 2023-02-06

Working Paper
Generative AI at the Crossroads: Light Bulb, Dynamo, or Microscope?

With the advent of generative AI (genAI), the potential scope of artificial intelligence has increased dramatically, but the future effect of genAI on productivity remains uncertain. The effect of the technology on the innovation process is a crucial open question. Some inventions, such as the light bulb, temporarily raise productivity growth as adoption spreads, but the effect fades when the market is saturated; that is, the level of output per hour is permanently higher but the growth rate is not. In contrast, two types of technologies stand out as having longer-lived effects on ...
Finance and Economics Discussion Series , Paper 2025-053

Working Paper
Tracking Real Time Layoffs with SEC Filings: A Preliminary Investigation

We explore a new source of data on layoffs: timely 8-K filings with the Securities and and Exchange Commission. We develop measures of both the number of reported layoff events and the number of affected workers. These series are highly correlated with the business cycle and other layoff indicators. Linking firm-level reported layoff events with WARN notices suggests that 8-K filings are sometimes available before WARN notices, and preliminary regression results suggest our layoff series are useful for forecasting. We also document the industry composition of the data and specific areas ...
Finance and Economics Discussion Series , Paper 2024-020

Working Paper
Inside the Boardroom: Evidence from the Board Structure and Meeting Minutes of Community Banks

Community banks are critical for local economies, yet research on their corporate governance has been scarce due to limited data availability. We explore a unique, proprietary dataset of board membership and meeting minutes of failed community banks to present several stylized facts regarding their board structure and meetings. Community bank boards have fewer members and a higher percentage of insiders than larger publicly traded banks, and experience little turnover during normal times. Their meetings are held monthly and span about two hours. During times of distress, community bank boards ...
Finance and Economics Discussion Series , Paper 2024-085

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