Decoding the GenAI workforce: an NLP and machine learning analysis of evolving US labor market demands, featuring a healthcare deep dive
Filosofi, Simone (A.A. 2024/2025) Decoding the GenAI workforce: an NLP and machine learning analysis of evolving US labor market demands, featuring a healthcare deep dive. Tesi di Laurea in Algorithmis, Luiss Guido Carli, relatore Irene Finocchi, pp. 46. [Bachelor's Degree Thesis]
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Abstract/Index
Literature review. The emergence of generative AI: a paradigm shift in artificial intelligence. Anticipated labor market dynamics: projections of disruption, transformation and productivity. Methodological frameworks for assessing AI’s labor market impact. Evolving understandings of AI’s impact and the imperative for data-driven quantitative insights. Methodology. Techniques. Data collection and preprocessing. Approach to job title identification. Topic modeling. Results and discussion. Beyond pure tech: family-level clusters reveal AI’s cross-industry reach. Healthcare sector. Comparison with previous studies.
References
Bibliografia: pp. 43-46.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Algorithmis |
| Thesis Supervisor: | Finocchi, Irene |
| Academic Year: | 2024/2025 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 27 Nov 2025 09:33 |
| Last Modified: | 27 Nov 2025 09:33 |
| URI: | https://tesi.luiss.it/id/eprint/44106 |
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