• Future of Work
• DIY
• Fab Labs
• Hackers

References for Theme: Future of Work

• Abe, Ethel Ndidiamaka; Abe, Isaac Idowu; Adisa, Olalekan
• "Future of Work: Skill Obsolescence, Acquisition of New Skills, and Upskilling in the 4IR" (2021)

• Acemoglu, Daron; Restrepo, Pascual
• "Automation and New Tasks: How Technology Displaces and Reinstates Labor" (2019)

  (p.10) [C]ontrary to a common presumption in popular debates, it is not the “brilliant” automation technologies that threaten employment and wages, but “so-so technologies” that generate small productivity improvements. This is because the positive productivity effect of so-so technologies is not sufficient to offset the decline in labor demand due to displacement. 

• "Automation and New Tasks: How Technology Displaces and Reinstates Labor" (2019)

  (p.4) The history of technology is not only about the displacement of human labor by automation technologies. If it were, we would be confined to a shrinking set of old tasks and jobs, with a steadily declining labor share in national income. Instead, the displacement effect of automation has been counterbalanced by technologies that create new tasks in which labor has a comparative advantage. Such new tasks generate not only a positive productivity effect, but also a reinstatement effect—they reinstate labor into a broader range of tasks and thus change the task content of production in favor of labor. The reinstatement effect is the polaropposite of the...

• "Automation and New Tasks: How Technology Displaces and Reinstates Labor" (2019)

• Althorpe, Caleb; Finneron-Burns, Elizabeth
• "Productive justice in the ‘post‐work future’" (2024)

• Applebaum, Herbert
• "Work and its future" (1992)

• Aronowitz, Stanley; DiFazio, William
• "The jobless future" (2017)

• Benanav, A
• "A World Without Work?" (2020)

  (p.47) There is a persistent underdemand for labor in the United States and European Union, and even more so in countries such as South Africa, India, and Brazil, yet its cause is almost the opposite of the one identified by the automation theorists. In reality, rates of labor-productivity growth are slowing down, not speeding up. This phenomenon should have increased the demand for labor, except that the productivity slowdown was overshadowed by another trend: in a development analyzed by Marxist economist Robert Brenner under the title of the “long downturn”—and belatedly recognized by mainstream economists as “secular stagnation”—economies have been growing...

• "A World Without Work?" (2020)

• Benanav, Aaron
• Automation and the Future of Work (2020)

• Benzell, Seth G; Kotlikoff, Laurence J; LaGarda, Guillermo; Sachs, Jeffrey D
• "Robots Are Us: Some Economics of Human Replacement" (2015)

• Bergman, Ann; Karlsson, Jan Ch
• "Three Observations on Work in the Future" (2011)

• Bessant, Judith; Watts, Rob
• "COVID, capital, and the future of work in Australia" (2021)

• Bruun, Edvard P G; Duka, Alban
• "Artificial Intelligence, Jobs and the Future of Work: Racing with the Machines" (2018)

• Casilli, A A
• "Waiting for robots: the ever-elusive myth of automation and the global exploitation of digital labor" (2021)

• Chace, Calum
• The Economic Singularity: Artificial Intelligence and the Death of Capitalism (2016)

• Chamberlain, James; Celentano, Denise; McBride, Keally
• "Technology and the Future of Work" (2022)

• Cholbi, Michael; Weber, Michael
• The Future of Work, Technology, and Basic Income (2019)

• Daicoff, Susan Swaim
• "The Future of the Legal Profession" (2011)

• Davenport, T; Guha, A; Grewal, D; Bressgott, T
• "How artificial intelligence will change the future of marketing" (2020)

• Deggans, Jerome; Krulicky, Tomas; Kovacova, Maria; Valaskova, Katarina; Poliak, Milos
• "Cognitively enhanced products, output growth, and labor market changes: will artificial intelligence replace workers by automating their jobs?" (2019)

• Denning, Steve
• "The 'Jobless Future' Is A Myth" (2015)

• Deranty, Jean-Philippe
• "Post-work society as an oxymoron: Why we cannot, and should not, wish work away" (2021)

• Dijmărescu, Irina; Ionescu, Luminița
• "The Future of Work in a Jobless Society: Globalization, Smart Digitalization, and Cognitive Automation" (2021)

• Dinerstein, Ana Cecilia; Pitts, Frederick Harry
• A World Beyond Work?: Labour, Money and the Capitalist State Between Crisis and Utopia (2021)

• Eichhorst, Werner; Portela Souza, André; Cahuc, Pierre; Demazière, Didier; Fagan, Colette; Guimarães, Nadya Araujo; Fu, Huiyan; Kalleberg, Arne; Manning, Alan; McGinnity, Frances; Rapoport, Hillel; Scranton, Phil; Siegrist, Johannes; Thelen, Kathleen; Valfort, Marie-Anne; Visser, Jelle
• "The Future of Work – Good Jobs for All" (2018)

• Ernst, Ekkehardt; Merola, Rossana; Samaan, Daniel
• "Economics of Artificial Intelligence: Implications for the Future of Work" (2019)

  (p.3) Common to all these applications is that they concern tasks that are considered to require specific human capacities related to visual perception, speech, sentiment recognition, and decision-making. In other words, AI is replacing mental tasks rather than physical ones, which were the target of previous waves of mechanization.

• "Economics of Artificial Intelligence: Implications for the Future of Work" (2019)

  (p.5) New, AI-based digital technologies may allow larger segments of the labor market to improve their productivity and to access better paying occupations and, thereby, may help promote (inclusive) growth. This requires, however, that a certain number of policies are put in place that support the necessary shift in occupational demand, maintain a strong competitive environment to guarantee diffusion of innovation, and keep up aggregate demand to support structural transformation. At the same time, AI applications raise the potential for productivity growth for interpersonal, less technical occupations and tasks, leading to higher demand for such work, which is likely to dampen...

• "Economics of Artificial Intelligence: Implications for the Future of Work" (2019)

• Estlund, Cynthia
• "What Should We Do after Work: Automation and Employment" (2018)

• Ford, Martin
• Rise of the Robots: Technology and the Threat of a Jobless Future (2016)

• Frank, Morgan R; Autor, David; Bessen, James E; Brynjolfsson, Erik; Cebrian, Manuel; Deming, David J; Feldman, Maryann; Groh, Matthew; Lobo, José; Moro, Esteban; Wang, Dashun; Youn, Hyejin; Rahwan, Iyad
• "Toward understanding the impact of artificial intelligence on labor" (2019)

  (p.6535) Recent studies show that historical technology-driven trends may not capture the AI-driven trends we face today. Consequently, some have concluded that AI is a fundamentally new technology (3, 65). If the trends of the past are not predictive of the employment trends from current or future technologies, then how can policy makers maintain and create new employment opportunities in the face of AI? What features of a labor market lead to generalized labor resilience to technological change?

• "Toward understanding the impact of artificial intelligence on labor" (2019)

  (p.6536) The impact of AI and automation will vary greatly across geography, which has implications for the labor force, urban–rural discrepancies, and changes in the income distribution. The study of AI and automation are largely focused on national employment trends and national wealth disparity. However, recent work demonstrates that some places (e.g., cities) are more susceptible to technological change than others. Occupations form a network of dependencies which constrain how easily jobs can be replaced by technology. Therefore, the health of the aggregate labor market may depend on the impact of technology on specific urban and rural labor markets.

• "Toward understanding the impact of artificial intelligence on labor" (2019)

• Frey, Carl Benedikt; Osborne, Michael A
• "The Future of Employment: How Susceptible Are Jobs to Computerisation?" (2017)

• Freyssenet, Michel
• "The Emergence, Centrality and End of Work" (1999)

• Glasmeier, Amy; Salant, Priscilla
• "Low-skill workers in rural America face permanent job loss" (2006)

• Halal, William; Kolber, Jonathan; Davies, Owen; Global, T
• "Forecasts of AI and future jobs in 2030: Muddling through likely, with two alternative scenarios" (2017)

  (p.87) The problem is that we have a hard time knowing what lies ahead in this new frontier. Who would have thought a few decades ago that most people today would do their work by staring into PC monitors, laptops, and mobile devices? There is no fixed amount of human endeavor, and work of different kinds will always appear to fill new economic demands.

• "Forecasts of AI and future jobs in 2030: Muddling through likely, with two alternative scenarios" (2017)

  (p.89) Some new jobs may appear, but they will not last for long. Machines have begun to learn by observation, by trial and error, and even from other machines—as we do, but much faster. They are likely to master most new occupations before we humans ever have the chance. We face a time when humans will hop from one career to the next, struggling to stay ahead of automation. Saddled by debt and discouraged by a broken social contract, many may succumb to despair unless we find an alternative to endless retraining.

• "Forecasts of AI and future jobs in 2030: Muddling through likely, with two alternative scenarios" (2017)

• Hammer, Anita; Karmakar, Suparna
• "Automation, AI and the Future of Work in India" (2021)

• Handy, Charles B
• The Future of Work: A Guide to a Changing Society (1984)

• Harayama, Yuko; Milano, Michela; Baldwin, Richard; Antonin, Céline; Berg, Janine; Karvar, Anousheh; Wyckoff, Andrew
• "Artificial Intelligence and the Future of Work" (2021)

• Himanen, Pekka
• The Hacker Ethic (2010)

• Howard, John
• "Artificial intelligence: Implications for the future of work" (2019)

• Ito, Joichi
• "The Future of Work in the Age of Artificial Intelligence" (2016)

• Jarrahi, Mohammad Hossein
• "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making" (2018)

• Jones, Phil
• Work Without the Worker: Labour in the Age of Platform Capitalism (2021)

• Kaplan, Jerry
• Humans Need Not Apply: A Guide to Wealth and Work in the Age of Artificial Intelligence (2015)

• Mahroof, Kamran
• "A human-centric perspective exploring the readiness towards smart warehousing: The case of a large retail distribution warehouse" (2019)

  (p.185) Another key theme gleaned from the analysis was the psychological impact of technology adoption, particularly AI as it can be at the expense of people. A manager provides some further insight into the psychological elements management encounter: ‘They amass experience which gives them the edge, ability of a TM to look at a warehouse full of pallets to say, I need 15 people and 3 h to shift that… that is purely experience. We put a system in and a report can tell you that. That’s a massive hit for someone. That first barrier is biggest’. If AI and automation...

• "A human-centric perspective exploring the readiness towards smart warehousing: The case of a large retail distribution warehouse" (2019)

• Moniz, António; Krings, Bettina-Johanna; Frey, Philipp
• "Technology as Enabler of the Automation of Work? Current Societal Challenges for a Future Perspective of Work" (2021)

• Moore, Ryan; Press, Heathwood
• "Eros and civilization for a jobless future: Hebert Marcuse and the abolition of work" (2016)

• Morris, William
• News from Nowhere and Other Writings (1993)

• Méda, Dominique
• "The Future of Work: the Meaning and Value of Work in Europe" (2017)

• Méda, Dominique; Vendramin, Patricia
• Réinventer le travail (2013)

• Neary, Breda; Horák, Jakub; Kovacova, Maria; Valaskova, Katarina
• "The future of work: Disruptive business practices, technology-driven economic growth, and computer-induced job displacement" (2018)

• Noonan, Jeff
• "Luddites, Labor, and Meaningful Lives: Would a World Without Work Really Be Best?" (2020)

• Nübler, Irmgard
• "New technologies: A jobless future or golden age of job creation" (2016)

• Ojanperä, Sanna; O’Clery, Neave; Graham, Mark
• "Data science, artificial intelligence and the futures of work" (2018)

  (p.20) Because of rapid technological development, many commentators point to inevitable technological changes in the future of work. However, the overview that emerges from this review of the material suggests that multiple possible futures exist that depend on complex dynamics between context, choices and adaptability to new circumstances shaping the opportunities for individuals, firms, civil society organisations, governments and international organisations.

• "Data science, artificial intelligence and the futures of work" (2018)

• Paus, Eva
• Confronting Dystopia: The New Technological Revolution and the Future of Work (2018)

• Peters, Michael A
• "Beyond technological unemployment: the future of work" (2020)

• Rampersad, Giselle
• "Robot will take your job: Innovation for an era of artificial intelligence" (2020)

• Reese, Byron
• The Fourth Age: Smart Robots, Conscious Computers, and the Future of Humanity (2020)

• Sareeta
• "Why Are Good Jobs Disappearing if Robots Aren’t Taking Them?" (2020)

• Schaff, Kory
• "Work, Technology, and Inequality" (2019)

• Webster, Craig; Ivanov, Stanislav
• "Robotics, Artificial Intelligence, and the Evolving Nature of Work" (2020)

• West, Darrell M
• The Future of Work: Robots, AI, and Automation (2018)

• The Future of Work: Robots, AI, and Automation (2018)

• White, ; Williams,
• "Anarchist economic practices in a'capitalist'society: some implications for organisation and the future of work" (n.d.)

  “The dominant capitalo-centric framing and imagining of the economic landscapes of the western world overlooks and underplays the central roles that ‘non-capitalist’ forms of economic organisation perform in everyday life. The central role that these ‘non-capitalist’ work practices play has been seen through research undertaken via Time Bank Surveys, and Households Work Practice Surveys. At the household and community level in particular the prominence of non-economic rationales (love, pleasure, enjoyment) that motivate individuals to engage in the domestic activities explored, can be seen interpreted – through an anarchistsquint – as examples of anarchy in action.” p. 961-962

• Zhou, Ji; Li, Peigen; Zhou, Yanhong; Wang, Baicun; Zang, Jiyuan; Meng, Liu
• "Toward New-Generation Intelligent Manufacturing" (2018)

• Østerlund, Carsten; Jarrahi, Mohammad Hossein; Willis, Matthew; Boyd, Karen; Wolf, Christine
• "Artificial intelligence and the world of work, a co‐constitutive relationship" (2020)

  (p.1) Artificial intelligence (AI) and its relation to work have become central in our cultural discourse, clear to even a casual reader of contemporary news and media outlets.Technological breakthroughs in the field of AI promise to change the way we organize work (Davenport & Kirby, 2016). The artful integration of AI and work, however,remains an open challenge. There is currently limited empirical understanding and research to guide the information community in this area—for example, labor, motivation, cognition, machine learning, data science, human-computer interaction, and information science, among others—in coherent ways. Such interdisciplinarity is necessary if we are to push beyond assumptions and hype to open up possibilities for diverse and inclusive...

• "Artificial intelligence and the world of work, a co‐constitutive relationship" (2020)

  (p.3) Exploring AI futures and affordances entails an understanding of not only AI in the world of work but equally important, the world of work in AI. The world of work sneaks into AI in the form of big data feeding the algorithms, data management activities, the bias of past practices, ethics, and governance.

• "Artificial intelligence and the world of work, a co‐constitutive relationship" (2020)