How to Maximize the Net Effects of AI in a Globalized World
Nicola Acocella ()
Additional contact information
Nicola Acocella: Sapienza University of Rome
Chapter Chapter 5 in The Economics of Globalization and Artificial Intelligence, 2026, pp 87-96 from Springer
Abstract:
Abstract AI has emerged as a transformative influence with the capacity to reshape both our society and industries. AI devices can be employed for a number of uses (wildlife conservation, improved agriculture, healthcare diagnostics, disaster response and fighting climate-related wildfires, education, enhanced cybersecurity). AI has been integrated in education programs at various levels, to help students for language learning and personalized learning experiences, ensuring that no one is left behind. In remote and underserved areas, AI-driven learning platforms enable access to quality education. AI has also been recently employed to help people do common tasks faster, especially for work. One of ‘the greatest advantages of AI is its ability to help people with disabilities.’ AI opens new pathways for entrepreneurship by providing tools for small businesses to compete with larger corporations. Equitable and social issues arise with AI, as it can exacerbate inequalities if not deployed with care. One of the primary social issues is the risk of job displacement by AI.
Keywords: Maximizing the net effects of AI; Uses of AI devices; AI and the future; Number of uses of AI; AI can exacerbate inequalities; Ability to help people with disabilities; New pathways for entrepreneurship (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-15711-9_5
Ordering information: This item can be ordered from
http://www.springer.com/9783032157119
DOI: 10.1007/978-3-032-15711-9_5
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().