Evidence map›Paper›PMID 42293452›Full record

ArticleData in brief2026

Career anxiety in the age of artificial intelligence: Survey data of university students in Bangladesh.

Shahrin Islam, Bibhas Roy Chowdhury Piyas, Fatama Jannat Tisha, Humayun Kabir Nayem, Sadia Rahman, Bijoy Roy Chowdhury Preenon, Shazzad Hossen

Abstract read
In one paragraph

Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Shahrin IslamDepartment of Software Engineering, Daffodil International University, Dhaka 1216, Bangladesh.
Bibhas Roy Chowdhury PiyasDepartment of Software Engineering, Daffodil International University, Dhaka 1216, Bangladesh.
Fatama Jannat TishaDepartment of Software Engineering, Daffodil International University, Dhaka 1216, Bangladesh.
Humayun Kabir NayemDepartment of Software Engineering, Daffodil International University, Dhaka 1216, Bangladesh.
Sadia RahmanDepartment of Computer Science and Engineering, Chittagong University of Engineering and Technology, Chattogram 4349, Bangladesh.
Bijoy Roy Chowdhury PreenonDepartment of Electrical and Electronic Engineering, Independent University, Dhaka 1229, Bangladesh.
Shazzad HossenDepartment of Computer Science and Engineering, Daffodil International University, Dhaka 1216, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Career anxiety has become a significant issue in today's world, particularly in developing countries where job opportunities are scarce compared to the rising number of university graduates. The rapid advancement of artificial intelligence (AI) has heightened this anxiety by reshaping labour markets and automating an increasing number of job roles. Although numerous studies have examined general career anxiety among students, research particularly addressing career anxiety triggered by AI remains scarce. To address this gap, this article presents findings from an online survey conducted across five prominent public and private universities in Bangladesh. The survey examined students' perceptions of artificial intelligence (AI) and its potential impact on their future careers. A total of 3156 students from various departments and academic years participated in the survey. The study covers students' knowledge of AI, frequency of AI tool usage and perceptions of AI as a potential threat to their chosen professions and future employment. The dataset also records self-reported levels of career anxiety and strategies students use to prepare for an AI-driven job market. Statistical analyses and visualizations reveal variations of career anxiety across age, gender, academic year, department and AI knowledge level, as well as document the specific AI tools students perceive as potential threats to future employment. The dataset provides meaningful guidance for educators and policymakers in reshaping curriculum to prepare students for new workforce realities. It may also act as a foundation for future research in predictive modelling, labour market analysis, behavioural patterns and human-AI collaboration.

Indexed as

AI adoptionAI-driven job insecurityArtificial intelligenceCareer anxietyEmployability skillsEmployment uncertaintyJob insecurityLabor market perception

Identifiers

PMID42293452
PMCPMC13264088

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.