The DOI matches its Crossref record; 2 of the 3 references it cites were found in a registry or an index.
The Impact of AI on Job Automation and the Workforce
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Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“This perception is consistent with previous studies that demonstrated that AI technologies can automate routine and time-intensive research activities, thereby allowing researchers to devote greater attention to higher-order analytical and intellectual tasks [2, 54, 59].”
From Developing the HAKI model as a conceptual framework for AI-assisted academic research (2026) · cites this paper as [54]
Citations
Cites
The second machine age: work, progress, and prosperity in a time of brilliant technologies
(2015) · Choice Reviews Online · doi:10.5860/choice.184834 · Cited by 4,381
ARTIFICIAL INTELLIGENCE FOR THE REAL WORLD
(2023) · International Research Journal of Modernization in Engineering Technology and Science · doi:10.56726/irjmets42512 · Cited by 1,434
Research works printed but not linked: 6
- 2017, Jobs Lost, Jobs Gained: Workforce Transitions in a Time of Automation
- 2021, The Role of Digital Labour Platforms in Transforming the World of Work
- M Arntz, 2016, The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis
- Gartner, 2023, AI Trends and Predictions: Impact on Employment and Business
- Abhay Birhade, 2025, Machine Learning in Cloud Optimization
- J Bughin, 2018, Notes from the AI Frontier: Modeling the Impact of AI on the World Economy
Cited by
Developing the HAKI model as a conceptual framework for AI-assisted academic research
Shahini, A. (2026) · Discover Education · doi:10.1007/s44217-026-02041-4
Workforce Transformation and AI-Driven Skill Development in Business and Management
Maheshkar, C., Nandan, D., & Chourasia, A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-7036-1.ch005
Metadata
- Authors
- Malang, G., Gavhane, Y., Dahake, N., Dalvi, D., & Patil, A.
- Corresponding author
- Malang, Gauri
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2025
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W4412900149
- Cited by
- 2
- References
- 3
- Citations by year
- 2026: 2
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (acceptedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
- Social Sciences › Sociology and Political Science › Digital Economy and Work Transformation
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Keywords
- artificial intelligence, workplace automation, labor force, job displacement, retraining, labor market, income inequality, digital divide, AI ethics, future of work
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Impact of AI on Job Automation and the Workforce. https://app.cochat.ai/papers/10.2139/ssrn.5343313
- The paper
- Malang, G., Gavhane, Y., Dahake, N., Dalvi, D., & Patil, A. (2025). The Impact of AI on Job Automation and the Workforce. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.5343313
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
