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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

    Uma Babu Chinta Reviewer

    badge Review Request Accepted
    Reviewer Photo

    Uma Babu Chinta Reviewer

    09 Sep 2024 01:40 PM

    badge Approved

    Relevance and Originality

    Methodology

    Validity & Reliability

    Clarity and Structure

    Results and Analysis

    Relevance and Originality:

    The article addresses a timely and significant topic—the impact of AI on the job market. This is highly relevant given the rapid advancements in AI technology and its widespread implications for various industries. The investigation into both job creation and displacement is original and important, as it provides a balanced view of AI's effects on employment.

    Methodology:

    The study utilizes existing literature and empirical evidence to analyze AI's impact on the job market. While this approach is valuable, the paper would benefit from a more detailed description of the specific research methodologies used, such as data sources, analysis techniques, and any primary research conducted. This additional detail would help in assessing the robustness of the findings.

    Validity & Reliability:

    The paper draws on empirical evidence and literature to support its conclusions, which contributes to its validity. However, the reliability of the results could be enhanced by including more recent data, case studies, or quantitative analyses. Addressing any potential biases in the literature reviewed or the methodology employed would also improve the study’s reliability.

    Clarity and Structure:

    The article is clear and well-structured, presenting the implications of AI on job creation and displacement in a logical manner. The discussion of both opportunities and challenges provides a comprehensive overview. To improve clarity, the inclusion of specific examples or case studies demonstrating AI's impact on different industries would provide readers with a more concrete understanding of the discussed trends.

    Result Analysis:

    The paper outlines the potential impacts of AI on various job sectors but lacks detailed result analysis. Providing specific examples of how AI has already affected employment trends in different industries would offer deeper insights. Additionally, a more thorough analysis of the data and literature reviewed, including any patterns or trends identified, would strengthen the conclusions drawn.

    Publisher Logo

    IJ Publication Publisher

    Thank you

    Publisher

    IJ Publication

    IJ Publication

    Reviewer

    Uma Babu

    Uma Babu Chinta

    More Detail

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    Paper Category

    Computer Engineering

    Journal Icon

    Journal Name

    IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT External Link

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    p-ISSN

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    e-ISSN

    2456-4184

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