Designing for Complementarity: Skills, Work, and Education in the Age of AI — A Review

This review synthesizes 2023–2025 evidence on how generative AI and automation are reconfiguring role structures, skill demands, and entry pathways, and proposes design principles that shift attention from task substitution to role redesign and talent architecture. Theoretical framework: Drawing on...

Full description

Saved in:
Bibliographic Details
Main Author: James, Hutson
Format: Article
Language:en
en
Published: INTI International University 2025
Subjects:
Online Access:http://eprints.intimal.edu.my/2183/2/732
http://eprints.intimal.edu.my/2183/3/jobss2025_7.pdf
http://eprints.intimal.edu.my/2183/
http://ipublishing.intimal.edu.my/jobss.html
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850173991477575680
author James, Hutson
author_facet James, Hutson
author_sort James, Hutson
building INTI Library
collection Institutional Repository
content_provider INTI International University
content_source INTI Institutional Repository
continent Asia
country Malaysia
description This review synthesizes 2023–2025 evidence on how generative AI and automation are reconfiguring role structures, skill demands, and entry pathways, and proposes design principles that shift attention from task substitution to role redesign and talent architecture. Theoretical framework: Drawing on task-based labor economics, socio-technical systems design, and human-capital complementarity, the review distinguishes domains where substitution pressures concentrate from those where augmentation dominates. Method: A narrative review of peer-reviewed studies, official statistics, and policy/industry reports prioritized empirically grounded findings on employment effects, skills, governance, and program outcomes; inclusion emphasized methodological transparency and recency. Results and discussion: Convergent evidence shows contraction in routine cognitive tasks and growth in hybrid roles that pair domain expertise with AI orchestration, with early-career pathways especially exposed; high-performing implementations embed skills-first hiring, AI-augmented apprenticeships, and operational governance (provenance, bias testing, incident response) tied to performance. Research implications: Institutions should treat human-AI collaboration as an operating assumption and align curricula, workplace learning, and policy incentives around competence telemetry, credential portability, and equitable mobility.
format Article
id my-inti-eprints.2183
institution INTI International University
language en
en
publishDate 2025
publisher INTI International University
record_format eprints
spelling my-inti-eprints.21832025-11-19T12:48:05Z http://eprints.intimal.edu.my/2183/ Designing for Complementarity: Skills, Work, and Education in the Age of AI — A Review James, Hutson HD Industries. Land use. Labor L Education (General) LC Special aspects of education This review synthesizes 2023–2025 evidence on how generative AI and automation are reconfiguring role structures, skill demands, and entry pathways, and proposes design principles that shift attention from task substitution to role redesign and talent architecture. Theoretical framework: Drawing on task-based labor economics, socio-technical systems design, and human-capital complementarity, the review distinguishes domains where substitution pressures concentrate from those where augmentation dominates. Method: A narrative review of peer-reviewed studies, official statistics, and policy/industry reports prioritized empirically grounded findings on employment effects, skills, governance, and program outcomes; inclusion emphasized methodological transparency and recency. Results and discussion: Convergent evidence shows contraction in routine cognitive tasks and growth in hybrid roles that pair domain expertise with AI orchestration, with early-career pathways especially exposed; high-performing implementations embed skills-first hiring, AI-augmented apprenticeships, and operational governance (provenance, bias testing, incident response) tied to performance. Research implications: Institutions should treat human-AI collaboration as an operating assumption and align curricula, workplace learning, and policy incentives around competence telemetry, credential portability, and equitable mobility. INTI International University 2025-09 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/2183/2/732 text en cc_by_4 http://eprints.intimal.edu.my/2183/3/jobss2025_7.pdf James, Hutson (2025) Designing for Complementarity: Skills, Work, and Education in the Age of AI — A Review. Journal of Business and Social Sciences, 2025 (07). pp. 1-6. ISSN 2805-5187 http://ipublishing.intimal.edu.my/jobss.html
spellingShingle HD Industries. Land use. Labor
L Education (General)
LC Special aspects of education
James, Hutson
Designing for Complementarity: Skills, Work, and Education in the Age of AI — A Review
title Designing for Complementarity: Skills, Work, and Education in the Age of AI — A Review
title_full Designing for Complementarity: Skills, Work, and Education in the Age of AI — A Review
title_fullStr Designing for Complementarity: Skills, Work, and Education in the Age of AI — A Review
title_full_unstemmed Designing for Complementarity: Skills, Work, and Education in the Age of AI — A Review
title_short Designing for Complementarity: Skills, Work, and Education in the Age of AI — A Review
title_sort designing for complementarity: skills, work, and education in the age of ai — a review
topic HD Industries. Land use. Labor
L Education (General)
LC Special aspects of education
url http://eprints.intimal.edu.my/2183/2/732
http://eprints.intimal.edu.my/2183/3/jobss2025_7.pdf
http://eprints.intimal.edu.my/2183/
http://ipublishing.intimal.edu.my/jobss.html
url_provider http://eprints.intimal.edu.my