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Journal articles on the topic 'AI Jobs'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Divyam, Pithawa, Nahar Sarthak, Sharma Shivam, and Nikhil Chaturvedi Er. "Data Set of AI Jobs." Advancement of Computer Technology and its Applications 5, no. 3 (2022): 1–7. https://doi.org/10.5281/zenodo.7330062.

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The automated, targeted extraction of information from websites is known as web scraping. Similar technology used by search engines is marked as “Web Crawling.” Although human data collection is a possibility, automation is frequently faster, more efficient, and less prone to mistakes. Online job portals frequently collect a substantial amount of data in the form of resumes and job openings, which may be a useful source of knowledge on the features of market demand. Web scraping may be categorized into three steps: the web scraper finds the needed links on the internet; the data is

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2

Badet, Jaures. "AI, Automation and New Jobs." Open Journal of Business and Management 09, no. 05 (2021): 2452–63. http://dx.doi.org/10.4236/ojbm.2021.95132.

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Cevdet Bayar, Jeric Panugaling, Abbas Lotf, and Emin Arslan. "Consequences of AI in the workforce: How AI is taking our Jobs." London Journal of Social Sciences, no. 9 (May 3, 2025): 47–58. https://doi.org/10.31039/ljss.2025.9.322.

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Although artificial intelligence is helping solve many problems in today's world, it is also the reason many people around the world are losing their jobs. AI has the ability to replace or reduce many jobs now and in the future due to the rapidity of its growth. Types of jobs that could be harmed include white collar professions, unlike the blue collar careers that were reduced due to previous technological advancements. The advances in AI have mostly targeted jobs relating to digital art, content creation, and programming, meaning that these careers are most likely to see a reduction due to t

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Arnett, Autumn A. "Is AI making faculty's jobs worse?" Enrollment Management Report 28, no. 8 (2024): 5–7. http://dx.doi.org/10.1002/emt.31310.

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Rua Mae Williams, an assistant professor in the User Experience Design program at Purdue University, recently shared on X (the network formerly known as Twitter) the ways implicit bias about who and what intelligence looks and sounds like inspires greater use of artificial intelligence platforms, such as ChatGPT, among students who don’t feel they measure up.

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Arnett, Autumn A. "Is AI making faculty's jobs worse?" Successful Registrar 24, no. 9 (2024): 5–7. http://dx.doi.org/10.1002/tsr.31367.

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Rua Mae Williams, an assistant professor in the User Experience Design program at Purdue University, recently shared on X (the network formerly known as Twitter) the ways implicit bias about who and what intelligence looks and sounds like inspires greater use of artificial intelligence platforms, such as ChatGPT, among students who don’t feel they measure up.

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Chelliah, John. "Will artificial intelligence usurp white collar jobs?" Human Resource Management International Digest 25, no. 3 (2017): 1–3. http://dx.doi.org/10.1108/hrmid-11-2016-0152.

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Purpose This paper highlights the risks faced by white-collar workers resulting from advances in artificial intelligence (AI). Design/methodology/approach This paper explores recent research and expert opinion on the evolution of AI and its encroachment on white-collar jobs. Findings This paper reveals susceptibility of white-collar jobs to AI. Practical implications This paper guides HR practitioners in advising management on the possible deployment of AI to enhance productivity and the resultant impact in the roles that employees perform. Social implications This study draws attention to the

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T. Madhan and L. Deeraj. "Impact of AI on Human Replacement in Labour Market with Special Reference to the Manufacturing Sector in Chennai Metropolis." Journal of Development Economics and Management Research Studies 11, no. 19 (2023): 113–23. http://dx.doi.org/10.53422/jdms.2024.111912.

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This study examines how Artificial Intelligence (AI) is slowly replacing Human Manpower in the Manufacturing Sector. AI technologies are becoming smarter and more capable, which has led to concerns about potential job losses for humans. This research explores the effects of AI on human workers and their roles in factories. This is important because it can affect people's work and livelihoods. We looked specifically at the manufacturing sector, where things like cars and machines are made. We have found that AI is replacing humans in some jobs, like those that are repetitive or routine. This me

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Priyadharasini M, Sriram S N, Sudhar Aathith T, and Vigneshwaran N. "Steve Jobs: Pioneering AI in Software Engineering." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 04 (2024): 823–29. http://dx.doi.org/10.47392/irjaeh.2024.0116.

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"STEVE JOBS: Pioneering AI in Software Engineering" presents a revolutionary approach to software development, integrating large language models (LLMs) into traditional methodologies. This paradigm, inspired by the visionary leadership of Steve Jobs, leverages LLMs to streamline the software development lifecycle (SDLC), incorporating both the waterfall model and agile methodology. The implementation involves the orchestration of software agents, representing various roles in the development process, fostering collaborative dialogue through natural language communication. This innovative frame

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Adams, Jonathan, Min Fang, Zheng Liu, and Yajie Wang. "The Rise of AI Pricing: Trends, Driving Forces, and Implications for Firm Performance." Federal Reserve Bank of San Francisco, Working Paper Series 2024, no. 33 (2024): 01–85. http://dx.doi.org/10.24148/wp2024-33.

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We document key stylized facts about the time-series trends and cross-sectional distributions of AI pricing and study its implications for firm performance, both on average and conditional on monetary policy shocks. We use the universe of online job posting data from Lightcast to measure the adoption of AI pricing. We infer that a firm is adopting AI pricing if it posts a job opening that requires AI-related skills and contains the keyword “pricing.” At the aggregate level, the share of AI-pricing jobs in all pricing jobs has increased by more than tenfold since 2010. The increase in AI-pricin

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DOGAR, Cristian, and Carmen Mihaela SCORTE. "ARTIFICIAL INTELLIGENCE AND JOBS’ FUTURE PROSPECTS IN ACCOUNTING AND FINANCIAL AUDITING." ANNALS OF THE UNIVERSITY OF ORADEA. ECONOMIC SCIENCES 3, no. 1 (2023): 403–16. http://dx.doi.org/10.47535/1991auoes32(1)030.

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Despite all controversies, the Artificial Intelligence (AI) continues its course in becoming more and more present in our world, with a huge perspective on modelling it. Using its capacity to assist various processes, it becomes a strong support of increased productivity being also perceived as a threat for jobs, professions and society as well. The aim of this qualitative research is to explore the how AI is perceived as impacting on jobs, and about future jobs’ prospects in accounting, and financial auditing. We conducted a summary recent literature review regarding AI increasing use in audi

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Lanamäki, Arto, Karin Väyrynen, Heidi Hietala, Elena Parmiggiani, and Polyxeni Vassilakopoulou. "Not Inevitable: Navigating Labor Displacement and Reinstatement in the Pursuit of AI for Social Good." Communications of the Association for Information Systems 55 (2024): 831–45. http://dx.doi.org/10.17705/1cais.05531.

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Fear of job displacement in the Artificial Intelligence (AI) era echoes long-standing concerns about machines replacing human work. This paper critically examines dominant narratives around AI and its impact on jobs, challenging technology-deterministic predictions of widespread job loss. We introduce two key concepts: the 'reinstatement effect,' which suggests AI can create new jobs by generating demand for new activities, and 'human-technology augmentation,' which emphasizes AI’s potential to enhance human capabilities. Together, these perspectives provide a comprehensive view of AI’s influe

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Sherbanu Hamid, Humeyra Mehboob, and Anisa Jamac. "The Impact of Artificial Intelligence on the Future of Work and Employment." Proceedings of London International Conferences, no. 11 (December 9, 2024): abs7. https://doi.org/10.31039/plic.2024.11.276.

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Artificial intelligence (AI) is rapidly changing how we work and live. It’s everywhere, from helping doctors diagnose illnesses to powering algorithms that decide what we see online. This paper dives into how AI is shaping the job market—both the good and the challenging sides. On one hand, AI brings incredible benefits. It boosts productivity, sparks innovation, and opens new career opportunities in fields like healthcare, finance, education, and manufacturing. These advancements can lead to economic growth and better ways of doing things. However, there’s concern about AI replacing jobs trad

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Tyson, Laura D., and John Zysman. "Automation, AI & Work." Daedalus 151, no. 2 (2022): 256–71. http://dx.doi.org/10.1162/daed_a_01914.

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Abstract We characterize artificial intelligence as “routine-biased technological change on steroids,” adding intelligence to automation tools that substitute for humans in physical tasks and substituting for humans in routine and increasingly nonroutine cognitive tasks. We predict how AI will displace humans from existing tasks while increasing demand for humans in new tasks in both manufacturing and services. We also examine the effects of AI-enabled digital platforms on labor. Our conjecture is that AI will continue, even intensify, automation's adverse effects on labor, including the polar

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William, Bediako Danso, and Hanson Eric. "Artificial intelligence disruption and its impacts on future employment in Africa - A case of the banking and financial sector in ghana." i-manager’s Journal on Software Engineering 18, no. 1 (2023): 19. http://dx.doi.org/10.26634/jse.18.1.20082.

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Artificial Intelligence is a transformative technology with the potential to both displace and create jobs across industries. Experts believe it will greatly benefit humanity by reducing tedious tasks and advancing technology. The World Economic Forum predicts that by 2025, 50% of tasks will be automated, compared to the current 29%, and around 75% of companies plan to adopt AI, with 50% expecting it to drive job growth, according to their 2023 report. Fast-growing roles stem from technology, digitalization, and sustainability. By 2025, AI will replace 75 million jobs but generate 133 million

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Soueidan, Mohamad Hassan, and Rodwan Shoghari. "The Impact of Artificial Intelligence on Job Loss: Risks for Governments." Technium Social Sciences Journal 57 (May 9, 2024): 206–23. http://dx.doi.org/10.47577/tssj.v57i1.10917.

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The rapid advancement of Artificial Intelligence (AI) technologies presents both opportunities and challenges for labor markets globally. By adopting a qualitative methodology, this study analyses the impact of AI integration in jobs on the labor market and the subsequent policy responses by governments. The study specifies the industries and jobs that are highly susceptible to AI-driven automation, particularly those characterized by routine and repetitive tasks. The study also acknowledges the potential for AI to create new job categories. Key findings suggest that while AI poses a significa

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Ferriere, Axelle. "Axelle Ferriere discussion of: AI & US jobs." Economic Policy 40, no. 121 (2025): 195–97. https://doi.org/10.1093/epolic/eiae064.

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Stuhler, Jan. "Jan Stuhler discussion of: AI & EU Jobs." Economic Policy 40, no. 121 (2025): 141–43. https://doi.org/10.1093/epolic/eiae068.

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Henkin, David, and Chris Zangrilli. "Enhancement, Not Elimination: AI’s Impact on Jobs in the Indirect Tax Domain." Communications of the Association for Information Systems 55 (2024): 846–53. http://dx.doi.org/10.17705/1cais.05532.

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The article explores the transformative potential of artificial intelligence (AI) in the indirect tax domain in response to Stephen J. Andriole’s article “The Big Miss: AI Will Replace Just About Everything and its view that AI will lead to widespread job displacement. We argue that AI will not broadly eliminate jobs in indirect tax but rather empower tax professionals by automating repetitive tasks, enhancing data analysis, and facilitating compliance. AI-powered tools will enable tax professionals to focus on higher-value activities, such as strategic planning, risk management, and client co

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Kadykalo, Sofia. "Artificial Intelligence and the Future of Human Jobs (Review of the Monograph George Gilder “Gaming AI”. Seattle: Discovery Institute Press, 2020)." Humanitarian vision 7, no. 2 (2021): 57–60. http://dx.doi.org/10.23939/shv2021.02.057.

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A review of the book “Gaming AI” by the famous American author, economist and co-founder of the Discovery Institute, George Gilder, in which he argues that Artificial Intelligence (AI) cannot think like a man, but can change conditions of a human jobs. Therefore, he expects that in the future AI will be controlled by a man in those types of jobs that are routine and mechanical, as well as help him/her in creativeness.

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Nnamdi, Nmesoma, Babafemi Zacchaeus Ogunlade, and Babalola Abegunde. "An Evaluation of the Impact of Artificial Intelligence on Socio-Economic Human Rights: A Discourse on Automation and Job Loss." Scholars International Journal of Law, Crime and Justice 6, no. 10 (2023): 508–21. http://dx.doi.org/10.36348/sijlcj.2023.v06i10.001.

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Artificial Intelligence (AI) is already here, and is speedily transforming industries. This paper examines the impact of AI on the socio-political rights of the people globally, particularly in the area of job loss. Automation is not a new concept. It can be traced to the introduction of machines into industries back in the Second and Third Industrial Revolutions. However, the automation introduced by artificial intelligence is of a higher level. Artificial Intelligence is taking risks for humans in the manufacturing industry, mining industry, and even in the Military. It is versatile, that is

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Zhenglong, Shi ,., Noorasiah Sulaiman, and Chen Peiwen. "A Systematic Review of AI’s Impact on Employment and Skill Demand." International Journal of Research and Innovation in Social Science IX, no. XV (2025): 484–507. https://doi.org/10.47772/ijriss.2025.915ec0032.

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As Artificial Intelligence (AI) continues to evolve and become widely used, its impact on employment and skills has become a major topic of discussion globally, as evidenced by the World Economic Forum’s focus. This Systematic Literature Review (SLR) aims to comprehensively review and analyse relevant research on how AI affects employment structures, creates or replaces jobs, and reshapes skill demand patterns. A comprehensive review of the existing literature suggests that the impact of AI on employment is multifaceted, with new opportunities arising from the emergence of new high-skilled job

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Sharif, Adam, Esad Gurbuz, and Senih Ay. "The impact of AI on employment and jobs: A comprehensive analysis." Proceedings of London International Conferences, no. 8 (December 22, 2023): 173–78. http://dx.doi.org/10.31039/plic.2023.8.179.

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As AI is starting to gain popularity in the modern digital age, an interesting and crucial question is asked: what changes will artificial intelligence bring to the work industry? In this research, we will view AI from both a positive and negative perspective to consider what it can do for the future of society. Our research encompasses the trade-offs and the effects the implementation of AI in work industries will bring. Recognizing how AI will change our workforce will be an important question to answer in the upcoming years of technological innovation, so we decided to tackle it and find a

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Sharif, Adam, Esad Gurbuz, and Senih Ay. "The impact of AI on employment and jobs: A comprehensive analysis." London Journal of Interdisciplinary Sciences, no. 1 (December 30, 2023): 50–55. http://dx.doi.org/10.31039/ljis.2023.1.222.

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As AI is starting to gain popularity in the modern digital age, an interesting and crucial question is asked: what changes will artificial intelligence bring to the work industry? In this research, we will view AI from both a positive and negative perspective to consider what it can do for the future of society. Our research encompasses the trade-offs and the effects the implementation of AI in work industries will bring. Recognizing how AI will change our workforce will be an important question to answer in the upcoming years of technological innovation, so we decided to tackle it and find a

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Sunil Bhadane, Rupesh. "AI as a Collaborative Tool: Enhancing Workplace Efficiency Without Replacing Human Jobs." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45217.

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The rising wave of artificial intelligence (AI) has brought both excitement and concern. While many fear AI may lead to job losses, the truth is more nuanced. AI is not here to replace people but to empower them. Through personal observations and research, this paper explores how AI tools are transforming workplaces—not by eliminating jobs but by making tasks faster, smarter, and more efficient. From simple automation to smart decision support systems, AI is becoming a digital partner for professionals in every industry. This paper argues for a mindset shift: rather than seeing AI as a threat,

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Adibe Nwafor, Kenneth, Johnson Chinasa Alegu, Ifeyinwa Nsude, et al. "Perception Of Job Security In The Era Of Artificial Intelligence Among Journalists In Ebonyi State, Nigeria." International Journal of Educational Research & Social Sciences 6, no. 1 (2025): 72–86. https://doi.org/10.51601/ijersc.v6i1.952.

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The advent of Artificial Intelligence (AI) has changed the way various jobs are done globally. In journalism, AI has been increasingly adopted in recent time in newsrooms, with tasks such as content generation, data analysis, and social media management being automated. This trend has sparked concerns among journalists all over the world, including Nigeria, particularly Ebonyi State, on the possibility of machines taking over their jobs in no distant time. This study investigated how practicing journalists in Ebonyi State, Nigeria, perceive the security of their job in the face of emerging era

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Dr.A.Shaji, George. "Future Economic Implications of Artificial Intelligence." Partners Universal International Research Journal (PUIRJ) ISSN: 2583-5602 02, no. 03 (2023): 20–39. https://doi.org/10.5281/zenodo.8347639.

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The rise of artificial intelligence (AI) technology promises to substantially transform economies around the globe in the coming decades. This paper examines the likely economic impacts of advancing AI in areas such as jobs, business productivity, new markets, and policy challenges. It argues that while AI will displace many existing jobs through automation, it will also boost business productivity and lead to new products and markets that can expand opportunities. However, realizing the benefits of AI while mitigating downsides will require thoughtful policy responses. The paper first provide

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Sharma, Indrani, Parveen Kumar, and Rajkumar Kaushik. "Application of AI in Everyday Life." Industrial Engineering Journal 51, no. 09 (2022): 33–38. http://dx.doi.org/10.36893/iej.2022.v51i9.033-038.

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This day and age, artificial intelligence is growing quickly because of new, cutting-edge discoveries made every day. These days, computers are made to do easy things like driving a car, recognising faces, and other small jobs. The main goal of artificial intelligence, on the other hand, is to make smarter systems that can do everything better than people. This also includes getting things done, like playing chess and handling math problems, which are harder jobs. So, the end goal is to make everything better using AI. People working together can solve problems better than people working alone

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Rajesh Kamisetty. "Navigating IT Careers in the Age of AI : Human Skills in an Automated Future." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 5 (2024): 772–77. http://dx.doi.org/10.32628/cseit241051050.

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This article investigates the current state of AI (Artificial Intelligence), its market, and the potential impacts of AI on future jobs. The AI revolution is not only transforming the labour market across the world but also augmenting business processes and procedures in various areas. We explore the evolving relationship between human workers and AI systems in IT by analysing current trends, industry reports, and expert predictions. Nature and Extent of jobs that are likely to be affected by Automation are also a part of the study. The article offers insights into the ever-changing nature of

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Shine, Stephanie, and Vincent Peiffer. "Invest Wisely: Amplify AI benefits by building employee skillsets." Touchpoint 15, no. 1 (2024): 32–35. http://dx.doi.org/10.30819/touchpoint.15-1.07.

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Generative AI is positioned as potentially driving efficiencies so powerful that companies can reduce their headcounts by the thousands, or so numerous headlines and quotations seem to suggest. Financial Times wrote at the start of January 2024 that “generative artificial intelligence will lead to job cuts this year” and Forbes declared “there’s no longer any doubt that generative AI will impact our jobs”. Goldman Sachs alluded to the potential for generative AI to expose the equivalent of 300 million full-time jobs to automation.

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Sharma, Manisha. "The Impact of AI on Healthcare Jobs: Will Automation Replace Doctors." American Journal of Data Mining and Knowledge Discovery 9, no. 2 (2024): 32–35. https://doi.org/10.11648/j.ajdmkd.20240902.11.

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The integration of artificial intelligence (AI) into healthcare has sparked considerable debate regarding its impact on the workforce, particularly concerning the roles of healthcare professionals such as doctors. This article explores the potential for AI-driven automation to replace certain medical tasks traditionally performed by physicians, as well as the broader implications for employment in the healthcare sector. While AI has demonstrated significant capabilities in areas like diagnostics, data analysis, and even surgical assistance, its role is largely seen as complementary rather than

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Kapoor, Radhika, and Indrajit Ghosal. "Will Artificial Intelligence Compliment or Supplement Human Workforce in Organizations? A Shift to a Collaborative Human – Machine Environment." International Journal on Recent Trends in Business and Tourism 06, no. 04 (2022): 19–28. http://dx.doi.org/10.31674/ijrtbt.2022.v06i04.002.

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Introduction: Artificial Intelligence (AI) is impacting organizations worldwide in the post-covid era, especially service-oriented firms that are attempting to automate most processes. We have observed a significant effect on business consulting businesses that use AI to automate all operational processes and boost employee efficiency by using them for strategic decision-making. This study examines the overall impact of AI on organizations and the human workforce to determine if automation of business processes will eventually replace employees or work more collaboratively, paving the way for

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Dr.A.Shaji, George, and Dr.T.Baskar. "The Impact of AI Language Models on the Future of White-Collar Jobs: A Comparative Study of Job Projections in Developed and Developing Countries." Partners Universal International Research Journal (PUIRJ) ISSN: 2583-5602 02, no. 02 (2023): 117–35. https://doi.org/10.5281/zenodo.8021447.

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The rapid advancements in artificial intelligence (AI) and natural language processing, particularly the development of AI language models, have raised concerns about their potential impact on the future of white-collar jobs. This research paper presents a comparative study of job projections in developed and developing countries, focusing on the implications of AI language models for white-collar occupations. Drawing on data from international labor organizations, governmental reports, and academic literature, the study investigates the potential displacement and transformation of various job

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Excell, Jon. "What Does AI Mean for Engineers?" Engineer 302, no. 7948 (2023): 32–36. https://doi.org/10.12968/s0013-7758(24)90158-9.

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Fadziso, Takudzwa. "Artificial Intelligence as General Purpose Technology: A Conceptual Framework." Asian Journal of Applied Science and Engineering 5, no. 1 (2016): 197–206. http://dx.doi.org/10.18034/ajase.v5i1.79.

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Artificial intelligence (AI) and its many potential applications 1 will become a fast-growing industry 2, and many predict that it will completely change the way we live and work. Microsoft co-founder Bill Gates said AI is "on the verge of making our lives more productive and creative." From the economic perspective, 54% of EU jobs, according to research, and 375 million world jobs will be affected by AI automation. This paper aims to test whether AI will emerge as General Purpose Technology (GPT). Historical dissemination of GPT to model the potential impact on the UK economy, especially with

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Takudzwa, Fadziso. "Artificial Intelligence as General Purpose Technology: A Conceptual Framework." Asian Journal of Applied Science and Engineering 5, no. 3 (2016): 197–206. https://doi.org/10.5281/zenodo.4388479.

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Artificial intelligence (AI) and its many potential applications 1 will become a fast-growing industry 2, and many predict that it will completely change the way we live and work. Microsoft co-founder Bill Gates said AI is "on the verge of making our lives more productive and creative." From an economic perspective, 54% of EU jobs, according to research, and 375 million world jobs will be affected by AI automation. This paper aims to test whether AI will emerge as General Purpose Technology (GPT). Historical dissemination of GPT to model the potential impact on the UK economy, especi

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Li, Kam Cheong, Grace Ho Lan Chong, Billy Tak Ming Wong, and Manfred Man Fat Wu. "A TAM-Based Analysis of Hong Kong Undergraduate Students’ Attitudes Toward Generative AI in Higher Education and Employment." Education Sciences 15, no. 7 (2025): 798. https://doi.org/10.3390/educsci15070798.

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This study explores undergraduate students’ attitudes towards generative AI tools in higher education and their perspectives on the future of jobs. It aims to understand the decision-making processes behind adopting these emerging technologies. A multidimensional model based on the technology acceptance model was developed to assess various factors, including perceived ease of use, perceived benefits, perceived concerns, knowledge of AI, and students’ perceptions of generative AI’s impact on the future of jobs. Data were collected through a survey distributed to 93 undergraduate students at a

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Singhal, Prof Vikas, Dr Pankaj Gupta, and Ayush Shekhar. "Career Counselling Chatbot on Facebook Messenger using AI." International Journal of Innovative Research in Information Security 10, no. 01 (2024): 36–41. http://dx.doi.org/10.26562/ijiris.2023.v1001.07.

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We have increasingly seen that new graduates have difficulty finding a job, which they often work in different jobs than the ones they graduated from, and that employees are not satisfied with their career choices. One reason for this may be the lack of practical, useful education when a person is in college or has just graduated from college. Chatbots are very useful and a topic of interest in the field of computer science and artificial intelligence due to their ability to emulate experts in different applications and replicate human interaction on multiple levels. Research shows that using

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Duester, Emma. "AI sustainability in the art sector: Chinese contemporary visual artists’ solutions for working with AI to overcome global AI concerns." Journal of Infrastructure, Policy and Development 9, no. 2 (2025): 11263. https://doi.org/10.24294/jipd11263.

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Nationwide integration of AI into the contemporary art sector has taken place since government AI regulations in 2023 to promote AI use. China’s AI integration into industry is ‘ahead’ of other countries, meaning that other countries can learn from these creative professionals. Consequently, contemporary visual artists have devised arts-led sustainable AI solutions to overcome global AI concerns. They are now putting these solutions into practice to maintain their jobs, arts forms, and industry. This paper draws on 30 interviews with contemporary visual artists, and a survey with 118 professio

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Sirajudheen, M., and P. Vanitha. "The Future of Jobs: Merging Human Skills with AI in the Workplace." ComFin Research 13, S1-i1-Mar (2025): 224–27. https://doi.org/10.34293/commerce.v13is1-i1-mar.8684.

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Artificial Intelligence (AI) is changing the work environment by reshaping work parts, improving efficiency, and rethinking the aptitudes required for future employments. This article investigates how human aptitudes and AI can complement each other to form a adjusted and inventive workforce. It analyzes the openings and challenges postured by AI integration, the need for upskilling, and the part of moral AI hones in cultivating inclusivity and maintainability. Through an investigation of investigate, case considers, and master experiences, this consider highlights noteworthy methodologies for

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S Praveen Kumar and S. Nagasundaram. "AI-Powered – Analytics." International Journal of Latest Technology in Engineering Management & Applied Science 14, no. 4 (2025): 574–76. https://doi.org/10.51583/ijltemas.2025.140400061.

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Abstract: Chatbot can be termed as software capable of chatting with humans using artificial intelligence. Such software is employed to accomplish jobs like replying to users instantaneously, giving them information, assisting them to buy goods and improving customer services. In this paper, the overall working principle, and the fundamental concepts of artificial intelligence based chatbots and associated concepts along with their application in different industries like telecommunication, banking, health, customer call centers and e-commerce are discussed. Moreover, the donation service impl

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Choi, Moon. "AI-Assisted Hiring Process and Older Workers: An Exploratory Study." Innovation in Aging 4, Supplement_1 (2020): 655–56. http://dx.doi.org/10.1093/geroni/igaa057.2260.

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Abstract An increasing number of companies have adopted an artificial intelligence (AI) hiring system such as resume screening and/or AI-powered video interview. This study explored older adults’ attitudes toward AI and their intentions to apply for jobs based on AI-assisted hiring process. Data came from an online survey in South Korea (N=123). Results showed an acceptable reliability of the scale of attitudes toward AI (Cronbach’s a = 0.72) and indicated no statistically significant differences in the attitudes toward AI across age groups (F(4,118) = 0.41, p = .80). However, a one-year incre

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Kong, Zhuo, Zhanyan Li, and Yazhuo Song. "Analysis of Artificial Intelligence-Driven Job Replacement in the Service Industry and Unemployment Response Strategies." Advances in Economics, Management and Political Sciences 184, no. 1 (2025): 155–63. https://doi.org/10.54254/2754-1169/2025.bl23302.

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This paper explores the dual impact of AI in the service industry labor market. Focusing on the service industry, AI fuels productivity by automating mundane tasks, improving customer online service, and generatingadditional jobs, especially in AI administration and digital services. Despite these benefits, AI adoption simultaneously produces severe challenges, including workforce displacement, unequal income distribution, and rising unemployment rates. The unintentional production of AI puts significant pressure on human capital, and traditional jobs are gradually being replaced by AI technol

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Andreadis, Lefteris, Eleni Kalotychou, Manolis Chatzikonstantinou, Christodoulos Louca, and Christos A. Makridis. "Local Heterogeneity in Artificial Intelligence Jobs over Time and Space." AEA Papers and Proceedings 115 (May 1, 2025): 29–34. https://doi.org/10.1257/pandp.20251001.

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We examine the spatial dynamics of AI adoption in the United States, leveraging county-level job postings data from 2014 to 2023. We document significant variation in AI intensity across counties and rapid growth occurring in unexpected suburban and remote-friendly areas such as Maries, Missouri, and Hughes, South Dakota. Controlling for county and year fixed effects, we find that higher shares of STEM degrees, labor market tightness, patent activity, lower manufacturing intensity, and turnover rates are key drivers of AI adoption. Our results point to the critical role of local education, inn

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Ullal, Mithun S., Pushparaj M. Nayak, Ren Trevor Dais, Cristi Spulbar, and Ramona Birau. "INVESTIGATING THE NEXUS BETWEEN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING TECHNOLOGIES IN THE CASE OF INDIAN SERVICES INDUSTRY." Business: Theory and Practice 23, no. 2 (2022): 323–33. http://dx.doi.org/10.3846/btp.2022.15366.

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The future in the services industry belongs to Artificial Intelligence (AI) driven machines, which is a major source of worry for the job market in India. Over 50% of India’s GDP constitutes services, and it is a major source of employment for the skilled manpower of India. The research measures the impact of AI on service jobs in India based on qualitative parameters such as logical, natural, physical, and compassion; and finds which aspect serves the jobs better between machines and humans. The jobs taken over by AI are primarily at the task level more than the job level and for the basic ta

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Zhang, XinNing. "Research on the impact of artificial intelligence on the labor market." Advances in Economics and Management Research 8, no. 1 (2023): 252. http://dx.doi.org/10.56028/aemr.8.1.252.2023.

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The rapid development and application of artificial intelligence technology has brought new power to the social development, optimized the production link and management process, and improved the productivity level of manufacturing enterprises. At the same time, it has also triggered concerns in the job market about the "machine replacement". Literature analysis shows that AI applications will not bring about the "leisure era" described by Keynes, and that AI will change the labor market by replacing old jobs with new jobs, leading to the fear of unemployment and the need to learn new skills.

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Saxena, Ashish, Yashi Bajpai, and Rakesh Kumar. "Dark Side of Artificial Intelligence." International Journal for Research in Applied Science and Engineering Technology 10, no. 2 (2022): 325–27. http://dx.doi.org/10.22214/ijraset.2022.40256.

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Abstract: Humans must be cautious of both the present and possible issues with AI. Such issues aren't the issues of the tinfoil hat crowd. According to Stephen Hawking, the influence of AI could be devastating until its implementation is carefully and morally regulated. Artificial intelligence is far more hazardous than nuclear weapons as stated by Elon Musk. Lots of the world's brightest and greatest forward-thinking minds are worried regarding the negative side of AI, therefore it's worth investigating. One major and urgent worry is a rise in unemployment. According to the Brookings Institut

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Tolan, Songül, Annarosa Pesole, Fernando Martínez-Plumed, Enrique Fernández-Macías, José Hernández-Orallo, and Emilia Gómez. "Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks." Journal of Artificial Intelligence Research 71 (June 9, 2021): 191–236. http://dx.doi.org/10.1613/jair.1.12647.

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In this paper we develop a framework for analysing the impact of Artificial Intelligence (AI) on occupations. This framework maps 59 generic tasks from worker surveys and an occupational database to 14 cognitive abilities (that we extract from the cognitive science literature) and these to a comprehensive list of 328 AI benchmarks used to evaluate research intensity across a broad range of different AI areas. The use of cognitive abilities as an intermediate layer, instead of mapping work tasks to AI benchmarks directly, allows for an identification of potential AI exposure for tasks for which

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Kim, Young Beom. "Dysfunction of Artificial Intelligence in the 4th Industrial Revolution Era and Crisis Management Direction." Crisis and Emergency Management: Theory and Praxis 13, no. 10 (2023): 33–42. http://dx.doi.org/10.14251/jscm.2023.10.33.

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The purpose of this study is to examine the problems that AI will bring in the era of the 4th Industrial Revolution and suggest crisis management directions to overcome them. The main results are as follows. ① We must continue to create new jobs that only humans can do, focusing on personality and emotion, to replace jobs being eroded by AI. ② Enact correct standards and laws regarding the development and use of AI technology. There is a need to continue discussions focusing on problems that may arise in advance regarding the development of high-risk, mass-destructive AI weapons and the misuse

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Dr.A.Shaji, George, Dr.T.Baskar, Siranchuk Dr.Nataliia, and Dr.M.M.Karthikeyan. "The Future of Employment: Exploring Robotics and AI in the Workplace." Partners Universal International Innovation Journal (PUIIJ) 03, no. 01 (2025): 11–18. https://doi.org/10.5281/zenodo.14942536.

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This research article examines the future of work as it relates to advancements in robotics, artificial intelligence (AI), and their impact on employment. As machines and algorithms become more sophisticated, there is potential for disruption across many industries and job categories. The objective is to analyze current trends in automation and AI to forecast how jobs may be created, eliminated, or transformed over the next 10-20 years. The methodology relies on synthesizing recent research reports, economic analyses, and technology projections. The key findings suggest that while certain rout

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Yadav, Narendra, Latika Sharma, and Urmila Dhake. "Artificial Intelligence: The Future." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 12 (2023): 1–10. http://dx.doi.org/10.55041/ijsrem27796.

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Artificial intelligence is the intelligence of machines or software, as opposed to the intelligence of humans or animals. It is also the field of study in computer science that develops and studies intelligent machines. "AI" may also refer to the machines themselves. AI is not a new for the scientist, it was introduce in 1943 with artificial neurons model and get popular in 1950 due to “Turting test” the test was done to get answer that machine can think?, purposed by Alan Turing. Basically AI is categorized into three types, Artificial Narrow Intelligence, Artificial General Intelligence and

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