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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue III, March 2026
HR professional has multiple roles to look. The handle roles from recruitment to compliance and lack of
technological support and thus this consumes a lot of time particularly for an HR professional as they mostly
rely on manual tasks. Usage of AI can contribute a lot in time optimization and can provide faster activities and
enable the professional to focus more on other roles such as employee engagement and retention strategy
building. This strategy of using Artificial intelligence in certain aspects of HR functions that are routine and
doesn't require much attention can enable them to save a lot of time and ultimately contribute to organizational
effectiveness.
Additionally, this research holds importance for organizational decision-makers who are hesitant about investing
in AI due to lack of clarity or fear of job displacement. By showcasing evidence-based outcomes this study can
encourage responsible AI adoption that enhances both technological and human potential.
This study contributes to the relatively underexplored field of AI in HR-specific time management. Most
literature either discusses AI in broad business contexts or focuses on automation in isolation. This research
narrows the lens to examine AI through the specific function of time optimization in HR, which contributes to
more studies in this area of study.
Ultimately, this study is significant not only for business growth but also for employee wellbeing and satisfaction.
When HR functions become more efficient and strategic, employees benefit from faster services, better
communication, and more focused developmental support. Therefore, understanding the role of AI in optimizing
time within HR is not just a technological advancement it’s a human centred move toward building better,
smarter, and more sustainable workplaces.
REVIEW OF LITERATURE
Bain & Company (2025) A study by Bain & Company highlights how Generative AI is transforming Human
Resource functions from task-oriented roles to strategic roles. Using their Generative AI Workforce Impact
Explorer tool, HR functions can save 15–20% of labour time on average, with HR operations saving up to 35%,
talent acquisition up to 20%, and HR business partners up to 15%. This indicates that AI has a greater impact on
routine and operational tasks compared to strategic roles, reflecting principles of Scientific Management Theory,
where efficiency and task optimization are emphasized. However, the study extends beyond traditional efficiency
models by showing that time savings enable HR professionals to transition into roles such as culture designers
and strategic advisors, aligning with modern Strategic Human Resource Management (SHRM) perspectives.
Compared to other studies, Bain focuses more on quantifiable efficiency gains, but gives limited attention to
ethical and human-centered concerns.
Erik (2025) explains that Artificial Intelligence in HR transforms key organizational functions such as
recruitment, employee engagement, performance management, and workforce planning. AI tools like machine
learning, chatbots, and analytics help streamline administrative tasks including resume screening, onboarding,
and job description creation, allowing HR professionals to focus on strategic initiatives such as talent
development and inclusivity. Unlike Bain, Erik emphasizes ethical concerns, including algorithmic bias, data
privacy, and governance, highlighting the importance of transparency and policy frameworks. This aligns with
Socio-Technical Systems Theory, which stresses the balance between technology and human factors. The study
critically contributes by arguing that AI adoption is not just technological but requires organizational trust and
governance, an aspect less emphasized in efficiency-driven studies.
Gartner (2025) reports a significant increase in Generative AI adoption in HR, from 19% in 2023 to 61% in
2025, indicating a shift from experimentation to strategic implementation. Organizations are creating new roles
such as AI product leaders, HR technologists, and establishing AI centres of excellence. The study predicts that
37% of employees will be impacted by AI within 2–5 years, while overall job numbers remain stable with
significant job creation expected by 2036. This reflects Human Capital Theory, where employee adaptability and
skills become critical assets. However, Gartner presents a techno-optimistic view, which contrasts with other
studies that highlight concerns about job displacement and ethical risks, indicating a gap between future
projections and present organizational challenges.