Antonio Serino
Papers
1
Total Citations
2
H-Index
1
About
Antonio Serino is an emerging researcher whose work sits at the intersection of artificial intelligence, labor economics, and the future of work. His most notable contribution, "Towards the Terminator Economy: Assessing Job Exposure to AI through LLMs" (2024), addresses one of the most pressing questions of our time: how artificial intelligence is reshaping the employment landscape. By leveraging large language models (LLMs) as an analytical tool, Serino and his collaborators have developed innovative methodologies to quantify the degree to which specific jobs and tasks face either automation risk or augmentation potential from AI-driven technologies. This research places him within a growing and highly influential scholarly conversation about technological displacement and the evolving human-machine relationship in the workplace. While his citation count is still building — reflecting the recency of his work — the timeliness and policy relevance of his research agenda position him as a researcher to watch closely. His focus on operationalizing AI exposure metrics offers practical value for policymakers, educators, and economists seeking to understand and navigate the profound labor market transformations already underway.
Research Focus
Key Achievements
Top Papers
- 1