AI 360° connects artificial intelligence with business education, research, faculty development, student learning, and industry collaboration at FIU Business.
Explore how AI is reshaping business—from markets, finance, and innovation to healthcare, work, and customer relationships. FIU Business research creates insights for business and society by examining where AI can create value, how people make decisions alongside AI, and what responsible adoption demands.
Using FDA data on 26,535 medical devices cleared from 2004–2024, we examine whether AI-enabled devices face different post-market safety risks. AI-enabled devices show about 2.5 times the hazard of first recall, driven by design and software failures. We translate these patterns into a decision-support model for allocating validation resources.
Nearly 100 GW of new data centers will be added between 2026 and 2030, doubling global capacity to meet the enhanced AI demands. Given the expected 14% CAGR through 2030, significant environmental and energy innovations are needed to alleviate grid and water constraints. In this work, we examine the economics of data centers from a revenue and environmental perspective.
This interpretive case study of a large Florida health system examines how clinicians, administrators, and IT staff make sense of a generative-AI tool embedded in the Electronic
Models can place tech firms in the business cycle well within cycles they've seen. In a later cycle they fail (macro-F1 falls from 0.975 to 0.379), and sentiment data doesn't help. Downturns significantly hurt ROA, sales growth, and Tobin's Q, and R&D-intensive firms are hit harder, not cushioned.
This research examines how warning messages provided along with AI-generated summaries influence information verification behavior. We conducted an experiment in which participants were randomly assigned to three conditions: no warning, a generic warning, or a source-specific warning. Verification behavior was measured through source-link clicks and time spent on the source webpage.
Across two experiments with 1,000 working adults in the U.S., India, and South Korea, we test how disclosing generative AI use shapes performance evaluations. Disclosure lowers perceived effort in every country, but whether that translates into lower ratings, bonuses, and future assignments depends on national context and evaluators’ work ethic.
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This study examines whether rising profitability persistence reflects stronger competitive advantages or changes in the firms being compared. Using 15,918 U.S. listed firms from 1990–2025, we compare changing firm populations with continuing firms to distinguish incumbents’ collective standing from differences among incumbents.
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This study evaluates AI-powered chatbots used by leading U.S. banks through standardized tasks across ten categories. We compare online-only banks with traditional banks operating physical branches and assess accuracy, precision, and failure rates. Results reveal significant performance variation and suggest that banking chatbots primarily complement, rather than replace, human customer service.
This project reviews the growing body of research on artificial intelligence in financial accounting and reporting, mapping what is known about AI's impact on auditing, disclosure and financial statement quality.
This research introduces perceived brand social capital: consumers' perceptions of how strongly a brand is tied to their local community. Across seven studies (three pre-registered and four supplemental), a brand's AI use lowered perceived social capital and, in turn, loyalty, especially for small brands. Visible community involvement buffered this effect.
Nearly 100 GW of new data centers will be added between 2026 and 2030, doubling global capacity to meet the enhanced AI demands. Given the expected 14% CAGR through 2030, significant environmental and energy innovations are needed to alleviate grid and water constraints. In this work, we examine the economics of data centers from a revenue and environmental perspective.
AI can extract lease clauses for smart contracts and uncover property attributes conventional valuations miss. This article connects these advances to borrowing terms, tradable ownership claims, and data-center investment shaped by power availability, cooling capacity, and fiber connectivity.
AI360 is dedicated to fostering an environment where AI innovation thrives, preparing our community to lead in a technology-driven world.
Email: ai360@fiu.edu
