Evidence map›Paper›PMID 41701765›Full record

ArticlePloS one2026

Beyond automation: How IT professionals utilize the invisible AI arm?

Ljupcho Efremov, Ivan Petrov, Irena Nikolovska

Abstract read
In one paragraph

Article in PloS one, 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
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

3 authors.

Ljupcho EfremovLiberal Arts Department, American University of the Middle East, Egaila, Kuwait.ORCID https://orcid.org/0000-0002-2660-4422
Ivan PetrovUniversity of American College, Skopje, North Macedonia.
Irena NikolovskaDepartment of Management, College of Business, University of Doha for Science and Technology, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is transforming task optimization across many occupations, particularly within the IT sector. Understanding how IT professionals use AI is crucial for establishing benchmarks and informing best practices. This mixed‑methods study combined two in‑depth interviews with AI‑using IT professionals and a survey of 50 IT professionals in North Macedonia. The survey examined which AI tools are used, for which tasks, and how often they are used in daily work. The results indicate that AI is integrated into multiple aspects of IT work, with task verification (coding assistance and technical documentation) as a common application. ChatGPT emerged as the preferred AI tool, frequently used for documentation and coding, and many IT managers reported using AI tools on a daily basis. These findings suggest that IT professionals go beyond simple automation by routinely embedding AI tools like ChatGPT into their workflows. The insights provide practical guidance for IT professionals and HR departments on how to plan tasks, design AI training, and support productivity and well‑being at work.

Indexed as

Artificial IntelligenceAutomationGenerative Artificial IntelligenceHumansIntelligent SystemsSurveys and Questionnaires

Identifiers

PMID41701765
PMCPMC12912622

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.