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    Transparent Peer Review By Scholar9

    A STUDY ON IMPACT OF ARTIFICIAL INTELLIGENCE ON EMPLOYMENT TRENDS

    Abstract

    This paper investigates the influence of artificial intelligence (AI) on the job market. With rapid advancements in AI technology, industries worldwide are experiencing some significant transformations in workforce dynamics. The study delves into the implications of AI on job creation, displacement, and the overall economy. By analyzing some existing literature, employing appropriate research methodologies, and drawing empirical evidence, the paper offers some insights into the evolving landscape of employment in the AI era. The development of technologies like AI can lead to both opportunities and challenges in the job market. It has the potential to create some new types of jobs while also replacing some existing ones. The impact of AI on employment trends can be felt across various industries, from manufacturing to customer service. Additionally, the adoption of AI in the workplace can increase efficiency but may also result in job loss for some individuals.

    Reviewer Photo

    Vijay Bhasker Reddy Bhimanapati Reviewer

    badge Review Request Accepted
    Reviewer Photo

    Vijay Bhasker Reddy Bhimanapati Reviewer

    09 Sep 2024 02:28 PM

    badge Approved

    Relevance and Originality

    Methodology

    Validity & Reliability

    Clarity and Structure

    Results and Analysis

    Relevance and Originality:

    The Research Article is highly relevant as it addresses the significant impact of artificial intelligence (AI) on the job market, a pressing issue in today’s rapidly evolving technological landscape. By exploring AI's dual role in job creation and displacement, the study tackles a crucial and timely topic that affects various industries and the broader economy. The originality of the research could be further evaluated based on how it contributes new insights or perspectives to the existing body of knowledge on AI and employment, and whether it addresses gaps in the current literature.

    Methodology:

    The Research Article mentions employing appropriate research methodologies and analyzing existing literature, but lacks specific details on the methodologies used. To fully assess the robustness of the research, it is essential to understand the particular methods for data collection, analysis, and empirical evidence utilized. A comprehensive review would require examining whether these methodologies are well-suited to investigating AI's impact on the job market and whether they effectively support the study’s conclusions.

    Validity & Reliability:

    The validity and reliability of the Research Article are dependent on the methodologies and data used. Given the mention of analyzing existing literature and empirical evidence, it is important to assess whether the study's design and execution allow for accurate and consistent results. The research should demonstrate rigorous data collection and analysis processes to ensure that its findings on AI’s impact on employment are credible and generalizable.

    Clarity and Structure:

    The excerpt provides a clear overview of the study’s focus on AI's influence on the job market, highlighting both opportunities and challenges. To evaluate the clarity and structure of the Research Article, it is necessary to review how well the entire paper is organized, how clearly the arguments are presented, and whether the structure facilitates a logical flow of information. Effective communication is crucial for the reader's understanding of the study’s insights and conclusions.

    Result Analysis:

    The excerpt does not provide detailed results or analysis. A thorough review of the Research Article would require examining how the results are presented, the strength of the evidence supporting the findings, and how well the conclusions address the research questions. It is important to assess whether the analysis effectively captures the nuances of AI’s impact on employment trends and whether the study provides actionable insights based on empirical evidence.

    Publisher Logo

    IJ Publication Publisher

    Ok Sir

    Publisher

    IJ Publication

    IJ Publication

    Reviewer

    Vijay Bhasker

    Vijay Bhasker Reddy Bhimanapati

    More Detail

    Category Icon

    Paper Category

    Computer Engineering

    Journal Icon

    Journal Name

    IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT External Link

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    p-ISSN

    Info Icon

    e-ISSN

    2456-4184

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