Relevant bibliographies by topics / AI Jobs

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'AI Jobs'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "AI Jobs"

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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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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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Dissertations / Theses on the topic "AI Jobs"

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Adolfsson, Lovisa. "How will Artificial Intelligence impact the labour market, which jobs will be replaced and what will it mean for society, within the next decade?" Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412832.

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This study examines the impact of Artificial Intelligence on the Labour Market within the next decade. Methods and limitations in the technology and their correlation to work, as well as the possible developments likely to be seen in the coming decade, is presented. It also looks at whether Artificial General Intelligence (a system that meet human performance in all fields) could be invented in the next ten years. So far, methods like machine-, deep- and reinforcement learning has resulted in systems that sometimes exceed human performance but are narrow in skill and proficiency. Meaning that
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LA, MARTINA ANDREA. "LE COLLABORAZIONI ORGANIZZATE DAL COMMITTENTE AI TEMPI DELLEPIATTAFORMI DIGITALI." Doctoral thesis, Università Cattolica del Sacro Cuore, 2020. http://hdl.handle.net/10280/73541.

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La presente ricerca intende affrontare due questioni tra loro interconnesse. La prima potrebbe definirsi, ormai, un esercizio ineludibile per tutti coloro che intendono confrontarsi con le categorie fondamentali del diritto del lavoro: alludiamo, quindi, alla nota questione della collocazione sistematica e, prima ancora, del modo d’essere delle collaborazioni organizzate dal committente. Si tratta, infatti, di un tema che ha visto cimentarsi l’intera “accademia” del diritto del lavoro e, tuttavia, sembra adesso possibile svolgere una sintesi ragionata sulle opinioni presentate dalla dottrina,
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LA, MARTINA ANDREA. "LE COLLABORAZIONI ORGANIZZATE DAL COMMITTENTE AI TEMPI DELLEPIATTAFORMI DIGITALI." Doctoral thesis, Università Cattolica del Sacro Cuore, 2020. http://hdl.handle.net/10280/73541.

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La presente ricerca intende affrontare due questioni tra loro interconnesse. La prima potrebbe definirsi, ormai, un esercizio ineludibile per tutti coloro che intendono confrontarsi con le categorie fondamentali del diritto del lavoro: alludiamo, quindi, alla nota questione della collocazione sistematica e, prima ancora, del modo d’essere delle collaborazioni organizzate dal committente. Si tratta, infatti, di un tema che ha visto cimentarsi l’intera “accademia” del diritto del lavoro e, tuttavia, sembra adesso possibile svolgere una sintesi ragionata sulle opinioni presentate dalla dottrina,
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Maqsood, Shahid. "The scheduling of manufacturing systems using Artificial Intelligence (AI) techniques in order to find optimal/near-optimal solutions." Thesis, University of Bradford, 2012. http://hdl.handle.net/10454/6322.

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This thesis aims to review and analyze the scheduling problem in general and Job Shop Scheduling Problem (JSSP) in particular and the solution techniques applied to these problems. The JSSP is the most general and popular hard combinational optimization problem in manufacturing systems. For the past sixty years, an enormous amount of research has been carried out to solve these problems. The literature review showed the inherent shortcomings of solutions to scheduling problems. This has directed researchers to develop hybrid approaches, as no single technique for scheduling has yet been succes
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Victorin, Karin. "AI as Gatekeepers to the Job Market : A Critical Reading of; Performance, Bias, and Coded Gaze in Recruitment Chatbots." Thesis, Linköpings universitet, Tema Genus, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177257.

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The topic of this thesis is AI recruitment chatbots, digital discrimination, and data feminism (D´Ignazio and F.Klein 2020), where I aim to critically analyze issues of bias in these types of human-machine interaction technologies. Coming from a professional background of theatre, performance art, and drama, I am curious to analyze how using AI and social robots as hiring tools entails a new type of “stage” (actor’s space), with a special emphasis on social acting. Humans are now required to adjust their performance and facial expressions in the search for, and approval of, a new job. I will u
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Bodeborn, Emil, Oliver Finnman, and Jonathan Söderberg. "Hej! Mitt namn är AI och jag är här för att ta ditt jobb : En litteraturstudie om samspelet mellan chefskapet och artificiell intelligens." Thesis, Linnéuniversitetet, Institutionen för organisation och entreprenörskap (OE), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-96046.

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With the advancement of artificial intelligence, there are new complications surfacing for managers today. Data analytics are increasingly important in order to make rational decisions. However, in order to be able to succeed as a manager in this new era, they need to be able to make man and machine work alongside each other. The purpose of this literature study is to present the changes that has occurred during AI’s ever-growing presence within organizations. How its impact has changed, and how it will continuously change managers’ leadership over time. The methodology used in the literature
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Ishekwene, Isaac Victor. "Improving the turnaround maintenance of the Escravos gas plant / Ishekwene, I.V." Thesis, North-West University, 2011. http://hdl.handle.net/10394/7061.

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According to Oliver (2002) the success of turnaround maintenances is measured in terms of the cost of completion, time, safety performance and the performance of the plant afterwards. The Escravos gas plant (EGP) is a gas processing plant that converts associated gas from Chevron owned crude oil wells to liquefied petroleum gas, natural gas and gas condensate (Chevron intranet. Website assessed on September 14, 2007). According to the EGP plant operations coordinator (See interview Appendix A), the plant undergoes a turnaround maintenance exercise once every two years. The major tasks done dur
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Rucco, Riccardo. "Skills substitution and trust: a new conception of attitude towards AI in a-HRM." Master's thesis, 2019. http://hdl.handle.net/10071/19951.

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Attitude towards new technologies depends on different factors. In case of AI (artificial intelligence), workers may perceive their own skills as easily substitutable and look at their job as likely to be replaced. This perception may have negative impact on their acceptance towards implementation of intelligent machines and automation, if there wouldn’t be a well based trust on the improvements brought by these technologies. Unfolding from such considerations, we have collected data from a diversified sample of 183 workers and requested a bootstrapped estimate from 5,000 samples. As a result,
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Books on the topic "AI Jobs"

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Wensheng, Peng, Xiong Duwen, Ernst Ekkehard, Zhu Huilin, and Zhou Zipeng. How and when will AI impact the economy. ILO, 2025. https://doi.org/10.54394/iwyt7917.

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This brief contributes to the current literature on AI exposure of jobs by considering cost curves of AI execution to estimate the timeline of AI adoption in China until 2050 using industry reports and sectoral employment and wage data from the National Bureau of Statistics of China.
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Gelisio, Tessa. Guida ai green jobs: Come l'ambiente sta cambiando il mondo del lavoro. Ambiente, 2009.

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Doellgast, Virginia, Shruti Appalla, Dina Ginzburg, Jeonghun Kim, and Wen Li Thian. Global case studies of social dialogue on AI and algorithmic management. ILO, 2025. https://doi.org/10.54394/voqe4924.

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Employers are adopting and refining artificial intelligence (AI) and algorithm-based tools in the workplace, with wide-ranging implications for work and employment. This working paper examines case studies of social dialogue on AI at national, regional, sectoral, company, and workplace levels in Europe, North America, Asia, South America and the Caribbean, and Africa. Findings are organized around three distinct ‘action fields’ in which worker representatives have sought to influence strategies and outcomes associated with the growing use of AI and algorithms in the workplace. These include th
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Gmyrek, Pawel, Santiago Garganta, and Hernan Winkler. Buffer or bottleneck? ILO : World Bank, 2024. http://dx.doi.org/10.54394/tfzy7681.

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In this new paper from the International Labour Organization and the World Bank Group, researchers found that Generative AI could have transformative effects on jobs and livelihoods in Latin America and the Caribbean. Nonetheless, gaps in digital infrastructure and other inequalities could hinder the potential impacts of Generative AI in the region.
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Moring, Andreas. AI on The Job. Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-64005-0.

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Berg, Janine, Pawel Gmyrek, Margherita Licata, Tinovimbanashe Gwenyaya, and Freytes, Scaiano, Martín Sánchez. Generative AI and the media and culture industry. ILO, 2025. https://doi.org/10.54394/fosl3256.

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The brief explores the transformative impact of Generative AI (GenAI) on the media and culture industry, analyzing its effects on job exposure, skills demand, and employment conditions. It highlights the need for policy frameworks, ethical AI governance, and social dialogue to mitigate risks such as job displacement and ensure fair compensation and creative control for workers.
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Gomez Tamayo, Sofia, and Andrea Petrelli. Work transformed. ILO, 2025. https://doi.org/10.54394/pjst2835.

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This brief synthesizes the current global research conducted by the International Labour Organisation (ILO), along with other prominent institutions and scholars, on the effects of Artificial Intelligence (AI) on employment and job opportunities worldwide. It highlights the primary challenges and potential prospects associated with AI's integration into the workforce. The brief is structured around three main points: first, it explores the significant opportunities and risks that AI may present for employment, including potential job creation in new sectors and the risk of job displacement in
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Weinstein, Bob. Ai nói rpang thre giwoi này không có viuec làm? NXB Trke, 2002.

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Ai, Weiwei. Ai Weiwei: Qian nian bei huan = 1000 years of Joys and sorrows : a memoir. Shi bao wen hua chu ban qi ye gu fen you xian gong si, 2022.

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Roger, Merrill A., Merrill Rebecca R, Liu Zongya, Wang Bingfei, and Chen Yunming, eds. Yao shi di yi: Sheng huo, guan ai, xue xi, liu xie yi chan. Zhongguo qing nian chu ban she, 2003.

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Book chapters on the topic "AI Jobs"

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Banafa, Ahmed. "New AI, New Jobs!" In Transformative AI. River Publishers, 2024. http://dx.doi.org/10.1201/9781032669182-28.

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Moring, Andreas. "Jobs Demands Resources." In AI on The Job. Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-64005-0_7.

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Kumar, Rishi. "Jobs Safe and Jobs Not So Safe." In Winning the AI Arms Race. River Publishers, 2025. https://doi.org/10.1201/9788743800903-42.

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Henning, Klaus. "Artificial Intelligence Is a Gamechanger of All Jobs." In Gamechanger AI. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52897-3_10.

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Moring, Andreas. "Expectations of Employees Towards “AI Jobs”." In AI on The Job. Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-64005-0_9.

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Samek, Lea, and Mariagrazia Squicciarini. "AI Human Capital, Jobs and Skills." In Impact of Artificial Intelligence in Business and Society. Routledge, 2023. http://dx.doi.org/10.4324/9781003304616-12.

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Nieves, Lisette, Noel S. Anderson, and Becca Huntting. "Changing Jobs: AI and Reskilling Young Workers." In Working for a Future. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-55633-3_6.

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De Backer, Koen, and Timothy DeStefano. "Robotics and the Global Organisation of Production." In Robotics, AI, and Humanity. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54173-6_6.

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AbstractThe growing investment in robotics is an important aspect of the increasing digitalisation of economy. Economic research has begun to consider the role of robotics in modern economies, but the empirical analysis remains overall limited. The empirical evidence of effects of robotics on employment is mixed, as shown in the review in this chapter. The effects of robots on economies go further than employment effects, as there are impacts for the organisation of production in global value chains. These change the division of labour between richer and poorer economies. Robotics may reduce o
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Onyejegbu, Laeticia N. "Challenges of Integrating AI Ethics into Higher Education Curricula in West Africa: Nigerian Universities Narrative." In AI Ethics in Higher Education: Insights from Africa and Beyond. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-23035-6_5.

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AbstractArtificial Intelligence (AI) is becoming pervasive. It is also an exciting field because it is making our lives much better, by doing most of the work for us. For example, driving our cars, medical jobs, accounting jobs, all sorts of jobs.
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Torero, Maximo. "Robotics and AI in Food Security and Innovation: Why They Matter and How to Harness Their Power." In Robotics, AI, and Humanity. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54173-6_8.

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AbstractFrom strawberry-picking robots to satellite remote sensing and GIS techniques that forecast crop yields, the integration of robotics and AI in agriculture will play a key role in sustainably meeting the growing food demand of the future. But it also carries the risk of alienating a certain population, such as smallholder farmers and rural households, as digital technologies tend to be biased toward those with higher-level skills. To ensure that digital technologies are inclusive and become a driver for development, countries should make technology affordable and invest in institutions
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Conference papers on the topic "AI Jobs"

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Atweh, Jad A. "Can AI Do Our Jobs?" In 2025 Systems and Information Engineering Design Symposium (SIEDS). IEEE, 2025. https://doi.org/10.1109/sieds65500.2025.11021140.

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Kushwaha, Durgesh Kumar, Lipakshi Arora, Abhinav Anand, Riya, Darshit Sheth, and Shanu Khare. "AI Powered Job Recommendation System." In 2024 International Conference on Emerging Technologies and Innovation for Sustainability (EmergIN). IEEE, 2024. https://doi.org/10.1109/emergin63207.2024.10961440.

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Kaur, Upinder, Salil Bharany, Satvik Vats, Anand Kumar, and Keshav Kaushik. "Empowering Job Seekers by a Natural Language Solution for Personalized Job Descriptions and Enhanced Employment Prospects through Clustering Techniques." In 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit). IEEE, 2024. https://doi.org/10.1109/globalaisummit62156.2024.10947972.

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Rao, G. Shivaji, M. Jaiganesh, Mohamed Anas K, Mohamed Asfaq Ali A, Nivash R, and Praveen Kumar Parida. "AI Powered Virtual Job Interview Simulator Using Natural Language Processing." In 2025 8th International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2025. https://doi.org/10.1109/icoei65986.2025.11013504.

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R, Loga Priya, Sri Roshan R K, Vidharsana G S, and Nithya Saravanan P. "AI-Enhanced Eye Tracking for Candidate Assessment in Job Interviews." In 2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI). IEEE, 2025. https://doi.org/10.1109/icmcsi64620.2025.10883473.

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Jha, Richa, Girish Paliwal, and Bhavnesh Kumar Jha. "AI-Powered Resume Builder: Enhancing Job Applications with Artificial Intelligence." In 2025 3rd International Conference on Disruptive Technologies (ICDT). IEEE, 2025. https://doi.org/10.1109/icdt63985.2025.10986431.

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Freeman, Richard B., and Jason Furman. "The Great AI/Robot Jobs Scare." In AIES '18: AAAI/ACM Conference on AI, Ethics, and Society. ACM, 2018. http://dx.doi.org/10.1145/3278721.3278805.

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O. Austine, Unuriode, Okoro C. Stanley, Afolabi T. Osariemen, et al. "The Impact of AI on US Labor Markets." In 5th International Conference on Artificial Intelligence and Big Data (AIBD 2024). Academy & Industry Research Collaboration Center, 2024. http://dx.doi.org/10.5121/csit.2024.140403.

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This research explores the consequences of AI integration in the labor market. As AI shapes various industries, it brings a dual impact: displacing some jobs while creating others. The automation driven by AI could be a threat to routine tasks, potentially leading to the displacement of specific roles within the routine tasks. However, AI also creates new job opportunities, particularly in AI development and related fields. This study aims to analyze the multifaceted impact of AI on US jobs, considering displacement, creation, and skills. The research considered the following aspects: Evaluati
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Trivedi, Abhinav, Er Kanwaldeep Kaur, Chahil Choudhary, Kunal, and Priyashi Barnwal. "Should AI Technologies Replace the Human Jobs?" In 2023 2nd International Conference for Innovation in Technology (INOCON). IEEE, 2023. http://dx.doi.org/10.1109/inocon57975.2023.10101202.

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Huang, Zhiqiao. "The Impact of AI on Jobs and Sexual Discrimination." In 7th International Conference on Humanities and Social Science Research (ICHSSR 2021). Atlantis Press, 2021. http://dx.doi.org/10.2991/assehr.k.210519.170.

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Reports on the topic "AI Jobs"

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Bessen, James. AI and Jobs: the role of demand. National Bureau of Economic Research, 2018. http://dx.doi.org/10.3386/w24235.

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Acemoglu, Daron, David Autor, Jonathon Hazell, and Pascual Restrepo. AI and Jobs: Evidence from Online Vacancies. National Bureau of Economic Research, 2020. http://dx.doi.org/10.3386/w28257.

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Toney, Autumn, and Melissa Flagg. U.S. Demand for AI-Related Talent Part II: Degree Majors and Skills Assessment. Center for Security and Emerging Technology, 2020. http://dx.doi.org/10.51593/20200062.

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Future U.S. competitiveness in artificial intelligence will require a robust AI workforce. This data brief analyzes market demand for AI-related jobs to determine the skills necessary in the field. It concerns jobs considered both “core AI” and “AI-adjacent.”
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Albanesi, Stefania, António Dias da Silva, Juan F. Jimeno, Ana Lamo, and Alena Wabitsch. New technologies and jobs in Europe. Banco de España, 2023. http://dx.doi.org/10.53479/33414.

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We examine the link between labour market developments and new technologies such as artificial intelligence (AI) and software in 16 European countries over the period 2011-2019. Using data for occupations at the 3-digit level in Europe, we find that on average employment shares have increased in occupations more exposed to AI. This is particularly the case for occupations with a relatively higher proportion of younger and skilled workers. This evidence is in line with the Skill-Biased Technological Change theory. While there is heterogeneity across countries, very few countries show a decline
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5

Phinisee, Eri, Autumn Toney, and Melissa Flagg. AI and Industry: Postings and Media Portrayals. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20200059.

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Artificial intelligence is said to be transforming the global economy and society in what some dub the “fourth industrial revolution.” This data brief analyzes media representations of AI and the alignments, or misalignments, with job postings that include the AI-related skills needed to make AI a practical reality. This potential distortion is important as the U.S. Congress places an increasing emphasis on AI. If government funds are shifted away from other areas of science and technology, based partly on the representations that leaders and the public are exposed to in the media, it is impor
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6

Toney, Autumn, and Melissa Flagg. U.S. Demand for AI-Related Talent. Center for Security and Emerging Technology, 2020. http://dx.doi.org/10.51593/20200027.

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The U.S. government and industry both see artificial intelligence as a pivotal technology for future growth and competitiveness. What skills will be needed to create, integrate, and deploy AI applications? This data brief analyzes market demand for AI-related jobs to determine their educational requirements, dominant sectors, and geographic distribution.
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7

Benitez-Rueda, Miguel, and Eric Parrado. Research Insights: Which Jobs Are Most Likely to Be Affected by Artificial Intelligence? Inter-American Development Bank, 2024. https://doi.org/10.18235/0013323.

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There is an increasing likelihood of job replacement by AI over time, with significant implications for workforce planning and policy development. Women and lower-skilled workers face disproportionately higher exposure to AI replacement. Office and administrative roles exhibit the highest exposure levels, while roles requiring complex problem-solving, interpersonal skills, or human interaction remain less affected.
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8

Nowinska, Agnieszka Urszula, and Gisele Msann. AI disruption in chartering in Danish Shipping. Aalborg University Open Publishing, 2025. https://doi.org/10.54337/aau.bk2_2025.

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Our research highlights the current state and trends of artificial intelligence (AI) adoption in Denmark’s chartering, particularly in the dry bulk and tanker segments. Companies in the dry bulk sector are leading AI adoption, with the tanker segment closely following and adoption rates in our sample appear higher than national averages reported by consultancies. Most firms are in either the experimental phase or transitioning toward more integrated AI systems, often opting for hybrid models that allow them to maintain internal control over key processes. Factors such as company size and matur
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Pemalaputhen Marydas, Sneha, Nanditha Mathew, Giordano De Marzo, and Carlo Pietrobelli. Digital Technologies, Hiring, Training, and Firm Outcomes. UNU-MERIT, 2025. https://doi.org/10.53330/arhr3976.

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In this study, using a novel dataset that matches firm-level data with online job vacancy data, we investigate the effects of firms’ digital technology adoption on future hiring and the dynamics of hiring and training, focusing on different types of technologies and categories of occupations. First, we examine the impact of adopting different types of digital technologies, namely AI, Advanced ICT, and Basic ICT, on future firm hiring. Our findings reveal that less advanced digital jobs (eg. Basic ICT, Advanced ICT) are substituted by more advanced digital jobs (eg. AI), while the advanced tech
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10

Hermansen, Anna, and Cailean Osborne. The Economic and Workforce Impacts of Open Source AI: Insights from Industry, Academia, and Open Source Research Publications. The Linux Foundation, 2025. https://doi.org/10.70828/itvq4899.

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In a literature review commissioned by Meta, LF Research found that open source AI (OSAI) is widely adopted, cost effective, highly performing, and leads to faster and higher-quality development of tools and models. The study included a comprehensive analysis of academic and industry literature as well as empirical data from previous LF Research surveys to determine existing evidence of the economic and workforce impacts of OSAI. The study assessed these impacts in four areas: Adoption rates: a significant majority (89%) of organizations are using some form of open source in their AI stack and
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