Impact.edited

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University of Nairobi *

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Information Systems

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Nov 24, 2024

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The influence of artificial intelligence on employment outcomes and job automation Revised Research Question: How will artificial intelligence across industries and positions impact job automation and the future of employment? Thesis (Topic + Argument + Main Points): Work automation is evolving due to the development of AI. It influences employee interactions, industry transformation, and job positions. Body Paragraph#1 Industry transition coverage Topic sentence (introduce the topic) Artificial intelligence revolutionizes industries and produces technological advances. Supporting Detail #1: Evidence (quotation or paraphrase from research + citation) Ekaningrum et al. (2023) identified a 35% increase in industry efficiency due to AI integration, which fundamentally altered operations. Analysis (explanation of why the evidence is significant to the paragraph’s topic)

AI's 35% productivity increase significantly impacts industrial transformation, highlighting its profound influence on operational activities across sectors and underscoring the importance of AI-driven industries. Supporting Detail #2 Evidence (quotation or paraphrase from research + citation) Tschang (2021) asserts that utilizing AI as a supplementary factor to automation resulted in a 20% enhancement in efficiency, leading to improvements in operational procedures and labor dynamics. Analysis (explanation of why the evidence is significant to the paragraph’s topic) The 20% enhancement of automation processes by AI demonstrates its sophistication. It underscores how AI improves systems instead of substituting personnel, emphasizing its profound impact on industry employment trends. Body Paragraph#2 Development of employment Topic sentence (introduce the topic) AI necessitates the adoption of novel proficiencies and obligations in the workplace.

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Supporting Detail #1 Evidence (quotation or paraphrase from research + citation) According to Nazareno (2021), AI integration impacted occupational functions by 30%, necessitating the development of new technical capabilities. Analysis (explanation of why the evidence is significant to the paragraph’s topic) AI has led to a 30% reduction in employment positions, emphasizing the need for personnel to acquire new technological competencies to adapt to the evolving job roles. Detail #2 Evidence (quotation or paraphrase from research + citation) According to Ekaningrum et al. (2023), AI integration increased the demand for data analytics and machine learning professionals by 25%, indicating a shift in employment trends toward AI expertise. Analysis (explanation of why the evidence is significant to the paragraph’s topic) AI integration is transforming labor demands, with a 25% rise in data analytics and machine learning jobs, highlighting the growing importance of AI-aligned competencies in the future workforce. Body Paragraph#3

An essential task at hand is the redefinition of labor dynamics. Topic sentence (introduce the topic) Due to AI, worker dynamics are shifting, necessitating adaptability to new employment paradigms and technologies. Supporting Detail #1 Evidence (quotation or paraphrase from research + citation) Almirall (2021) discovered that AI automation increased labor flexibility by 20%, which could boost productivity and promote skill development. Analysis (explanation of why the evidence is significant to the paragraph’s topic) This illustrates how AI has transformed the dynamics of labor. As evidenced by the 20% increase in employee flexibility, AI technology may facilitate skill development and productivity gains, highlighting its importance in the modernization of the workforce. Supporting Detail #2 Evidence (quotation or paraphrase from research + citation) Schiff (2021) found that AI implementation improved operational efficiency by 15% and reduced workplace stress by 10% due to employment security and technological adaptation concerns. Analysis (explanation of why the evidence is significant to the paragraph’s topic)

The evidence demonstrates the impact of AI on workers' welfare, showing 15% operational efficiency gains and 10% workplace stress while emphasizing the need for technological flexibility. Concluding Paragraph Restate Statement of Intent (Stem + Tasks/Topics, reworded) Several industries, job requirements, and employee welfare are all influenced by AI. When evaluating the disruptive effects of technology, employee adaptation is crucial. Summary (reiteration, relationship, and significance of key points) The study explores the intricate impact of AI on employment, emphasizing the need for flexible workforce initiatives and anticipatory measures to mitigate the complex implications of AI integration. Clincher/call to action (connect to larger context/make recommendations) Proactively embracing AI and employment requires adaptability, ongoing education, and skill development to help organizations and individuals adapt to technology and integrate AI into the future of work. References

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Ekaningrum, N. E., Hidayat, M. S., & Yuliaty, F. (2023). Exploring the Future of Work: Impact of Automation and Artificial Intelligence on Employment. ENDLESS: INTERNATIONAL JOURNAL OF FUTURE STUDIES, 6(1), 125-136. http://endless-journal.com/index.php/endless/article/view/131 Tschang, F. T., & Almirall, E. (2021). Artificial intelligence as augmenting automation: Implications for employment. Academy of Management Perspectives, 35(4), 642-659. https://journals.aom.org/doi/abs/10.5465/amp.2019.0062 Nazareno, L., & Schiff, D. S. (2021). The impact of automation and artificial intelligence on worker well-being. Technology in Society, 67, 101679. https://www.sciencedirect.com/science/article/pii/S0160791X21001548

Impact.edited

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