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Discussion Paper
Monitoring AI Adoption in the U.S. Economy
This note uses three publicly available surveys with complementary target respondents to examine trends in AI adoption in the U.S. through 2025. Business survey data from the Census Bureau show that about 18 percent of firms have adopted AI as of year-end 2025.
Working Paper
Can LLMs Improve Sanctions Screening in the Financial System? Evidence from a Fuzzy Matching Assessment
We examined the performance of four families of large language models (LLMs) and a variety of common fuzzy matching algorithms in assessing the similarity of names and addresses in a sanctions screening context. On average, across a range of realistic matching thresholds, the LLMs in our study reduced sanctions screening false positives by 92 percent and increased detection rates by 11 percent relative to the best-performing fuzzy matching baseline. Smaller, less computationally intensive models from the same language model families performed comparably, which may support scaling. In terms of ...
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.