Industrial Workers Research Articles

Asbestos Surveillance Program Aachen (ASPA): Cancer mortality among asbestos exposed power industry workers

BackgroundThe time between initial asbestos exposure and asbestos-related disease can span several decades. The Asbestos Surveillance Program aims to detect early asbestos-related diseases in a cohort of 8,565 power industry workers formerly exposed to asbestos. Research questionHow does asbestos exposure patterns affect cancer mortality and the duration of latency until death? MethodsA mortality follow-up was conducted with available vital status for 8,476 participants (99 %) and available death certificates for 89.9 % of deceased participants. Standardised mortality ratios (SMR) were calculated for asbestos-related cancers. The SMR of mesothelioma and lung cancer were stratified by exposure duration, cumulative asbestos exposure and smoking. The effect of age at first exposure, cumulative asbestos exposure and smoking on the duration of latency until death was examined using multiple linear regression analysis. ResultsThe mortality risk of mesothelioma (n = 104) increased with cumulative asbestos exposure but not with exposure duration; the highest mortality (SMR: 23.20; 95 % CI: 17.62–29.99) was observed in participants who performed activities with short extremely high exposures (steam turbine revisions). Lung cancer mortality (n = 215) was not increased (SMR: 1.03; 95 % CI: 0.89–1.17). Median latency until death was 46 (15–63) years for mesothelioma and 44 (15–70) years for lung cancer and deaths occurred between age 64 and 82 years. Latency until death was not influenced by age at first exposure, cumulative exposure, or smoking. ConclusionCumulative dose seems to be more appropriate than exposure duration for estimating the risk of mesothelioma death. Additionally, exposure with high cumulative doses in short time should be considered. Since only lung cancer mortality, not incidence, was recorded in this study, lung cancer risk associated with asbestos exposure could not be assessed and the lung cancer mortality was lower than expected probably due to screening effects and improved treatments. The critical time window of death from asbestos-related cancer is between the seventh and ninth decade of life. Future studies should further explore the concept of latency, especially since large ranges are reported throughout the literature.

Uranium Body Clearance Kinetics-A Long-term Follow-up Study of Retired Nuclear Fuel Workers.

Nuclear industry workers exposed to uranium aerosols may risk kidney damage and radiation-induced cancer. This warrants the need for well-established dose and risk assessments, which can be greatly improved by using material-specific absorption parameters in the ICRP Human Respiratory Tract Model. The present study focuses on the evaluation of the slow dissolution rate ( s s , d -1 ), a parameter that is difficult to quantify with in vitro dissolution studies, especially for more insoluble uranium compounds. A long-term follow-up of urinary excretion after the cessation of chronic inhalation exposure can provide a better estimate of the slow-rate dissolution. In this study, two workers, previously working for >20 y at a nuclear fuel fabrication plant, provided urine samples regularly for up to 6 y. One individual had worked at the pelletizing workshop with the known presence of uranium dioxide (UO 2 ) and triuranium octoxide (U 3 O 8 ). The second individual worked at the conversion workshop where multiple compounds, including uranium hexafluoride (UF 6 ), uranium dioxide (UO 2 ), ammonium uranyl carbonate, and AUC [UO 2 CO 3 ·2(NH 4 ) 2 CO 3 ], are present. Data on uranium concentration in urine during working years were also available for both workers. The daily excretion of uranium by urine was characterized by applying non-linear least square regression fitting to the urinary data. Material-specific parameters, such as the activity median aerodynamic diameter (AMAD), the respiratory tract absorption parameters, rapid fraction ( f r ,), rapid dissolution rate ( s r , d -1 ), and slow dissolution rate ( s s , d -1 ) and alimentary tract transfer factor ( f A ) acquired from previous work along with default absorption types, were applied to urine data, and the goodness of fit was evaluated. Thereafter intake estimates and dose calculations were performed. For the ex-pelletizing worker, a one-compartment model with a clearance half-time of 662 ± 100 d ( s s = 0.0010 d -1 ) best represented the urinary data. For the ex-conversion worker, a two-compartment model with a major [93% of the initial urinary excretion (A 0 )] fast compartment with a clearance half-time of 1.3 ± 0.4 d ( s r = 0.5 d -1 ) and a minor (7% of A 0 ) slow compartment with a half-time of 394 ± 241 d ( s s = 0.002 d -1 ) provided the best fit. The results from the data-fitting of urinary data to biokinetic models for the ex-conversion worker demonstrated that in vitro derived experimental parameters (AMAD = 20 μm, f r = 0.32, s r = 27 d -1 , s s = 0.0008 d -1 , f A = 0.005) from our previous work best represented the urinary data. This resulted in an estimated intake rate of 0.66 Bq d -1 . The results from the data-fitting of urinary data to biokinetic models for the ex-pelletizing worker indicated that the experimental parameters (AMAD = 10 μm and 20 μm, f r = 0.008, s r = 12 d -1 , f A = 0.00019) from our previous dissolution studies with the slow rate parameter step-wise optimized to urine-data ( s s = 0.0008 d -1 ) gave the best fit. This resulted in an estimated intake rate of 5 Bq d -1 . Experimental parameters derived from in vitro dissolution studies provided the best fit for the subject retired from work at the conversion workshop, where inhalation exposure to a mix of soluble (e.g., AUC, UF 6 ) and relatively insoluble aerosol (e.g., UO 2 ) can be assumed. For the subject retired from work at the pelletizing workshop, which involved exposure to relatively insoluble aerosols (UO 2 and U 3 O 8 ), a considerably higher s s than obtained in dissolution studies provided a better representation of the urinary data and was comparable to reported s s values for UO 2 and U 3 O 8 in other studies. This implies that in vitro dissolution studies of insoluble material can be uncertain. When evaluating the results from the retrospective fitting of urine data, it is evident that the urine samples acquired after cessation of exposure provide less fluctuation. Long-term follow-up of uranium excretion after cessation of exposure is a good alternative for determining absorption parameters and can be considered the most viable way for determining the slow rate for more insoluble material.

The time for ambitious action is now: Science-based recommendations for plastic chemicals to inform an effective global plastic treaty

The ubiquitous and global ecological footprint arising from the rapidly increasing rates of plastic production, use, and release into the environment is an important modern environmental issue. Of increasing concern are the risks associated with at least 16,000 chemicals present in plastics, some of which are known to be toxic, and which may leach out both during use and once exposed to environmental conditions, leading to environmental and human exposure. In response, the United Nations member states agreed to establish an international legally binding instrument on plastic pollution, the global plastics treaty. The resolution acknowledges that the treaty should prevent plastic pollution and its related impacts, that effective prevention requires consideration of the transboundary nature of plastic production, use and pollution, and that the full life cycle of plastics must be addressed. As a group of scientific experts and members of the Scientists' Coalition for an Effective Plastics Treaty, we concur that there are six essential “pillars” necessary to truly reduce plastic pollution and allow for chemical detoxification across the full life cycle of plastics. These include a plastic chemical reduction and simplification, safe and sustainable design of plastic chemicals, incentives for change, holistic approaches for alternatives, just transition and equitable interventions, and centering human rights. There is a critical need for scientifically informed and globally harmonized information, transparency, and traceability criteria to protect the environment and public health. The right to a clean, healthy, and sustainable environment must be upheld, and thus it is crucial that scientists, industry, and policy makers work in concert to create a future free from hazardous plastic contamination.

Professional Competencies in Internship in Work-Based Learning Setting

The main objective of this study was to find a model of internship in the context of Work-based learning in order to improve professional competencies for prospective teachers who must have 4 competencies (pedagogical, personality, social, and professional). The research was designed in stages by using the Research and Development (R & D) approach. The respondents of this research are students of the Faculty of Engineering, Universitas Negeri Semarang and the manager of the industrial work practice program. The results of the study found a model of the contextual employment practice of work-based learning in order to improve professional competence for prospective teachers. The analysis of the discussion shows the variety of readiness, attitudes, and quality of learning in the place of internship, so it needs to do the more further analysis so that students are better prepared in preparing themselves to participate in industrial work practice programs. In addition, the management of Internship has not used a model in the context of work-based learning, as expressed by the head of the fieldwork group of the Faculty of Engineering, Universitas Negeri Semarang. The implications of the findings of this model can be in line with the programs that have been prepared in the management of internship with an emphasis on work-based learning, which is expected to improve the professional competence of prospective ex-LPTK teachers.

Perception of the Importance of Professional Communication among Civil Engineering Students

This paper aims to find out the attitudes and perceptions of civil engineering students about the importance of professional communication and their current and future competencies. In addition, this work aims to investigate their interest in courses on communication skills. For this research, a quantitative research method was used - an online survey. The research sample consists of 109 students of all years of undergraduate and graduate studies in Civil Engineering at the Faculty of Civil Engineering, Architecture, and Geodesy in Split. The work is based on three hypotheses that were tested with non-parametric statistical tests after the research was carried out. The results of the research rejected the first hypothesis that students of higher years of civil engineering studies consider professional communication skills more important for work in industry compared to students of lower years of studies. Furthermore, this research determined that there is a statistically significant correlation between the ratings of the importance of professional communication among civil engineering students and the ratings of their communication skills and that there is a statistically significant correlation between civil engineering students who show a preference for communication skills and interest in attending courses in the field of communication.

Biomechanical risk factors and subacromial pain provocation in healthy manufacturing workers

Objectives. Work-related musculoskeletal disorders (MSDs) of the shoulder may manifest subclinically. By combining risk assessment and clinical instruments, it may be advisable to recognize workers who may develop more complex MSDs early. This study aimed to evaluate the relationship between biomechanical risk factors and subacromial pain provocation in healthy manufacturing workers. Methods. A cross-sectional descriptive observational study was carried out with workers in the furniture manufacturing industry. The occupational repetitive action (OCRA) checklist was applied to detect risk factors and three clinical tests used to detect subacromial tissue reactivity: the supraspinatus test, the painful arc test and the Hawkins–Kennedy test. Results. The positivity of the clinical tests is higher in the supraspinatus test, followed by the Hawkins–Kennedy test, and lowest in the painful arc test, for both the right and left shoulders. No significant associations were found with the overall OCRA checklist index or specific biomechanical factors. Conclusion. The biomechanical risk factors and the provocation of subacromial pain reviewed in this study were not found to be related. Other physical tests that are more sensitive and adapted to workers at risk of developing musculoskeletal shoulder disorders should be explored.

The Perceived Competence of Psychology Graduates on Transition to Industrial Work Setting

The Perceived Competence of Psychology Graduates on Transition to Industrial Work Setting

Cardiorespiratory Fitness Associates Negatively With Arterial Stiffness in a Cohort of Industrial Workers Followed Up for 4 Years.

Previously, we have found increased carotid-to-femoral pulse wave velocity (cfPWV) among shift workers compared to day workers in industry, and a decline in maximal oxygen uptake (V̇O 2max ) in all 86 workers. Utilizing all available measurements in 2018, 2021, and 2022, this study investigated associations between V̇O 2max and measures of arterial stiffness. Using a mixed model approach, we analyzed the cross-sectional association between all V̇O 2max (outcome) and measures of arterial stiffness (covariates). We observed a significant association between V̇O 2max and cfPWV of -1.59 (95% confidence interval [CI], -3.03 to -0.16), and between augmentation pressure (AP) and augmentation index (Aix) of -0.32 (95% CI, -0.58 to -0.06) and -0.12 (95% CI, -0.23 to -0.005), respectively. We found a significant negative association between cardiorespiratory fitness and measures of arterial stiffness. The former and present results pose challenges for shift workers' future macrovascular and microvascular health.

Genomic Epidemiology of Rift Valley Fever Virus Involved in the 2018 and 2022 Outbreaks in Livestock in Rwanda.

Rift Valley fever (RVF), a mosquito-borne transboundary zoonosis, was first confirmed in Rwanda's livestock in 2012 and since then sporadic cases have been reported almost every year. In 2018, the country experienced its first large outbreak, which was followed by a second one in 2022. To determine the circulating virus lineages and their ancestral origin, two genome sequences from the 2018 outbreak, and thirty-six, forty-one, and thirty-eight sequences of small (S), medium (M), and large (L) genome segments, respectively, from the 2022 outbreak were generated. All of the samples from the 2022 outbreak were collected from slaughterhouses. Both maximum likelihood and Bayesian-based phylogenetic analyses were performed. The findings showed that RVF viruses belonging to a single lineage, C, were circulating during the two outbreaks, and shared a recent common ancestor with RVF viruses isolated in Uganda between 2016 and 2019, and were also linked to the 2006/2007 largest East Africa RVF outbreak reported in Kenya, Tanzania, and Somalia. Alongside the wild-type viruses, genetic evidence of the RVFV Clone 13 vaccine strain was found in slaughterhouse animals, demonstrating a possible occupational risk of exposure with unknown outcome for people working in meat-related industry. These results provide additional evidence of the ongoing wide spread of RVFV lineage C in Africa and emphasize the need for an effective national and international One Health-based collaborative approach in responding to RVF emergencies.

Changing situation of Chinese migrants in the Far East at the late 1920s

In the 1920s a significant number of Chinese migrants lived in the Far Eastern region. They carried out their activities in various branches of local industry and participated in the development of trade. The living conditions of Chinese migrants were influenced by both the transformation of the domestic political and economic situation as well as changes in Soviet-Chinese relations at the international level. The end of the 1920s was characterized by an increase in international tension, including the intensification of confrontation between the Soviet state and China. The conflict on the Chinese Eastern Railway and the subsequent rupture of Soviet-Chinese diplomatic relations had a significant impact on Chinese migrants living in the Far Eastern region. The situation of Chinese migrants has deteriorated significantly, and their displacementt has been observed. Arrests, searches, and detention were used by Soviet law enforcement agencies, and therefore many Chinese migrants decided to return to their homeland. These factors contributed to a reduction in the number of Chinese entrepreneurs and industrial workers in the region. The conflict on the Chinese Eastern Railway also resulted in the appearance of Chinese prisoners of war in the territory of Transbaikalia, with whom appropriate political work was carried out by Soviet state and party bodies.

ASSESSING THE PROFITABILITY OF SMALL AND MEDIUM-SIZED WOOD FURNITURE BUSINESSES IN ETHIOPIA

This study focuses on the issue of profitability within the small and medium wood industries in Ethiopia. Profitability stands as a cornerstone for the advancement of contemporary industries and is a pressing concern for policymakers. The primary aim of this study is to determine the level of profitability and the factors influencing it in small and medium-scale wood enterprises. To conduct the study, four key cities - Addis Ababa, Bahir Dar, Hawassa, and Jima - were purposively selected. Data were gathered from 170 industries across these cities and subjected to analysis, yielding pertinent results. As expected, the wood industries in Ethiopia lacking profitability and among the 170 surveyed, 59.4% industries were not profitable. This is because majority of workers in Ethiopia's wood industry lack formal or on-the-job training both prior to and during employment. Moreover, the machinery and equipment they operate are outdated, and they lack the necessary skills for their proper utilization. Additionally, challenges such as insufficient raw materials, limited capital, and poor market connections were identified as significant obstacles to profitability. To tackle these challenges and bolster profitability, continuous technical and managerial training for workers, financial assistance for acquiring modern machinery, enhancements in production processes, sales strategies, and market linkage facilitation are recommended.

A FRAMEWORK FOR LEAN MANUFACTURING IMPLEMENTATION IN THE TEXTILE INDUSTRY: A RESEARCH STUDY

This study investigates the implementation of lean manufacturing in the textile industry, focusing on its potential to enhance efficiency, reduce waste, and improve product quality. Lean manufacturing principles, including Just-In-Time (JIT) production, Kanban systems, value stream mapping, 5S workplace organization, and continuous improvement (Kaizen), have been widely recognized for their effectiveness in various manufacturing sectors. However, their application in the textile industry remains underexplored. Through a systematic literature review of 60 review papers and empirical analysis involving case studies, interviews, and surveys with industry experts, managers, and workers, this research identifies the significant benefits of lean practices in textile manufacturing. The findings reveal substantial efficiency gains, waste reduction, and quality improvements among companies adopting lean principles. Nevertheless, the study also highlights several industry-specific challenges, such as high variability in raw materials, complex production processes, and market pressures from fast fashion. These challenges necessitate tailored approaches and effective change management strategies for successful lean integration. Additionally, the research emphasizes the need for investment in advanced technologies and flexible manufacturing systems to enhance responsiveness to market changes. The study concludes that despite the challenges, lean manufacturing offers valuable strategies for textile companies aiming to improve their competitiveness and sustainability in the global market. This research contributes to the growing body of knowledge on lean manufacturing and provides practical insights for textile manufacturers seeking to adopt and optimize lean practices.

The Impact of Job Automation On Workers In Indonesia’s Garment Companies

<p>J<span lang="EN-US">Job automation through the adoption of more advanced technologies under the fourth industrial revolution (Industry 4.0) has significantly impacted many countries, including Indonesia. In particular, the abundance of Indonesia’s human resources, given the country’s demographic bonus, is challenged by the skills of workers. In this study, our departure is the potential conflict of the human-technology nexus in Indonesia’s garment industry, a labor-intensive line of industry. The objectives of this study are twofold. First, it aims to dissect the multi-level factors in the adoption of Industry 4.0 technology in Indonesia’s garment industry. Second, it aims to understand the impact of job automation on labor-intensive workers in Indonesia’s garment industry. Based on a number of semi-structured interviews supported by relevant secondary data, this study reveals that multi-level factors do affect the adoption of Industry 4.0 technology and its entailing shift in workers’ utilization in Indonesia’s garment industry. Instead of replacing workers, Indonesia’s garment companies tend to utilize technology as a complementary element. However, there is a need to shift the state of industrial workers, in terms of their mindset and skills</span> </p><p> </p>Keywords: Job Automation, Garment Industry, Labour Intensive, Indonesia

Creating noise contour maps utilizing the NIOSH Noise Mapper App (A pilot study)

High noise levels can lead to physical and psychological stress, reduced productivity, and permanent hearing loss in workers. Traditional noise monitoring techniques indicate that mine workers, for example, consistently have a higher level of noise exposure when compared to workers in other heavy industries. It is critical to conduct risk assessments, identify noise sources, and control them to prevent occupational noise-induced hearing loss (ONIHL). The National Institute for Occupational Safety and Health (NIOSH) has recently developed the smartphone-based NIOSH Noise Mapper Application, which generates a noise contour map to enable individuals, workers, and hearing conservation professionals to apply the hierarchy of controls for optimized prioritization and focused targeting of the most effective hearing conservation interventions. Preliminary testing of the Noise Mapper app has been carried out in a hemi-anechoic chamber at the NIOSH Mining Laboratory in Pittsburgh. The results demonstrate that the Noise Mapper app can quickly and cost-effectively generate adequate noise contour maps to identify noise hazards and relevant noise-generating machinery to prioritize and target the most effective interventions. However, additional testing is needed to evaluate the Noise Mapper app's performance in real-world environments and its ability to measure multiple sound sources. This new tool supplements, but does not, replace traditional methods of creating noise contour maps.

Apakah Beban Kerja Karyawan Benar-Benar Beban Kerja Bagi Karyawan

This research aims to reveal whether workload is truly a burden for employees through a literature review. Workload is often considered a negative factor that can affect employee well-being and performance. However, there is also the view that workload can motivate and increase productivity if managed well. To understand this complexity, this research examines various previous studies that discuss the impact of workload on employee well-being and performance. The methodology used is systematic literature observation of relevant journal articles, books and research reports. The study includes an examination of various industry sectors and work cultures, and considers factors such as stress, management support, work environment and work-life balance. The results of the literature review show that high workload is generally associated with increased stress and decreased employee well-being. However, several studies also indicate that a well-managed workload, complemented by management support and a positive work environment, can increase employee motivation and performance. These findings show that workload can be a real burden if not managed well, but can also be a motivational factor under the right conditions.

ZIF-8 membranes for efficient C3H6 recovery from the Hydrogen Peroxide to propylene oxide process

The ZIF-8 membrane has emerged as a promising candidate for C3H6/C3H8 separation. However, the feasibility of ZIF-8 membranes for applications has rarely been investigated with gas provided directly by the industry sector. Herein, the C3H6/C3H8 mixture collected from the backend of the Hydrogen Peroxide to Propylene Oxide (HPPO) process was applied as feed gas to examine the separation performance of tubular ZIF-8 membranes. The membranes exhibited excellent separation performance and long-term stability under 9 bar and 50 °C. Noticeably, upon scaling up to a membrane area of 452.16 cm2 by connecting six three-channel modules in series (multi-step membrane), its separation performance satisfied the C3H6 circulation requirements during the HPPO process (purity ≥97.5 % and recovery rate ≥85 %). Furthermore, a simulation of membrane operation under industrial working conditions (22 bar and 56.3 °C) was performed. By fixing the separation factor at 15, a minimum membrane area of 800 m2 met the requirements at the cost of membrane permeance with 120 GPU. The corresponding economic calculation indicated a maximum of 91.8 % annual capital cost saving compared with the distillation process, paving the way for the practical application of membranes.

Human papillomavirus (HPV) vaccination in Japan.

To review the status of human papillomavirus (HPV) vaccination in Japan from inception to the present, focusing on past and current challenges. Published articles and website content related to HPV vaccination were reviewed. The Ministry of Health, Labor and Welfare suspended proactive recommendations for HPV vaccination in June 2013 following repeated media reports of girls experiencing adverse events, including chronic pain and walking disturbances, after receiving the HPV vaccine. Despite later recognition of these symptoms as a functional somatic syndrome, HPV vaccine coverage of target girls aged 12 to 16 years in the National Immunization Program (NIP) rapidly decreased to near zero. This suspension of the proactive HPV vaccination recommendation ceased in fiscal year (f-year) 2022, initiating a 3-year catch-up free HPV vaccination period from April 2022 to March 2025 for women born from f-years 1997 to 2005. These drastic changes were driven by established evidence of the effectiveness and safety of HPV vaccines reported from both Japan and other countries, and a nine-valent HPV vaccine has been included in the NIP since f-year 2023. However, the estimated HPV vaccination rate in the NIP remains low at ≤30%. To regain high coverage of HPV vaccination in Japan, it is essential that government, industry, and academic society work together to raise awareness and educate Japanese people about cervical cancer prevention and HPV-related diseases.

Enhancing construction safety: predicting worker sleep deprivation using machine learning algorithms

Sleep deprivation is a critical issue that affects workers in numerous industries, including construction. It adversely affects workers and can lead to significant concerns regarding their health, safety, and overall job performance. Several studies have investigated the effects of sleep deprivation on safety and productivity. Although the impact of sleep deprivation on safety and productivity through cognitive impairment has been investigated, research on the association of sleep deprivation and contributing factors that lead to workplace hazards and injuries remains limited. To fill this gap in the literature, this study utilized machine learning algorithms to predict hazardous situations. Furthermore, this study demonstrates the applicability of machine learning algorithms, including support vector machine and random forest, by predicting sleep deprivation in construction workers based on responses from 240 construction workers, identifying seven primary indices as predictive factors. The findings indicate that the support vector machine algorithm produced superior sleep deprivation prediction outcomes during the validation process. The study findings offer significant benefits to stakeholders in the construction industry, particularly project and safety managers. By enabling the implementation of targeted interventions, these insights can help reduce accidents and improve workplace safety through the timely and accurate prediction of sleep deprivation.

The role of legislation in activating environmental management systems to protect workers in the cement industry from environmental damage

The role of legislation in activating environmental management systems to protect workers in the cement industry from environmental damage

Transforming Key Industries in Rivers State: The Impact of Automation and Artificial Intelligence on the Future of Work

The study investigated automation, artificial intelligence and the future of work in key industries in Rivers State. Four research questions and four corresponding hypotheses were formulated to understand how AI automation relationship s job security, skill requirements, workforce adaptation, employee well-being, and work-life balance in these industries. The research uses a correlational research design and the target population comprises employees from key industries in Rivers State, including manufacturing, agriculture, healthcare, and technology sectors. A stratified random sampling technique was employed to draw a sample size of 54 employees across these industries. The self-structured questionnaire titled “Automation and Artificial Intelligence Integration in Industries Questionnaire (AAIIIQ)” and “Future of Work Questionnaire (FWQ)” using a 4-point Likert scale ranging from Very Low Extent (1) to Very High Extent (4). The questionnaire was distributed within the dry season of November 2023 to February 2024. During this period, 54 copies were distributed, but only 49 were returned. Of these, 2 were not correctly filled out, leaving the researcher with only 47 valid copies that were used for data analysis. To ensure content validity, the questionnaire was reviewed by experts in the field of Organizational Behaviour and Information and Communication Technology (ICT). The reliability of the instrument was assessed using the test-retest method with a sample of 10 participants which were not part of the main sample size, but within the study’s population. The questionnaire was distributed twice at a two-week interval, and the responses were analyzed using the Pearson Product-Moment Correlation (PPMC). A reliability index of .87 was calculated based on the outcomes of this analysis. Mean and standard deviation, was used to answer the research questions, Pearson’s Product-Moment Correlation (PPMC), was utilized to test hypotheses at a significance level of 0.05. The findings underscore the critical importance of considering the effects of AI automation on job security, workforce adaptation, employee well-being, and organizational strategies. Conclusion, the study’s findings underscore the transformative nature of AI automation on the future of work in key industries in Rivers State. By recognizing and responding to these changes, organizations can harness the full potential of AI automation while mitigating its potential negative impacts. The study recommended that organizations should prioritize employee training and development, offering opportunities for upskilling and reskilling to ensure their workforce remains competitive and adaptable to technological advancements.