Revisiting the risk of automation
By M. Arntz, Terry Gregory, Ulrich Zierahn. 2017
509 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Economics and Econometrics, Industrial and Manufacturing Engineering, AI Ethics, Fairness & Society, Economics & Operations Research
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- W. Dauth
- Jens Suedekum
- S. Findeisen
- David H. Autor
- A. Salomons
- B. Seegmiller
- Nicole Wößner
- Caroline Chin
In Industrial and Manufacturing Engineering
- Morgan R. Frank
- Joana Mendonça
- Benjamin Meindl
- Benjamin Balsmeier
- Martin Woerter
- A. Salomons
- David H. Autor
- Hal R. Varian
In AI Ethics, Fairness & Society
In Economics & Operations Research
- David H. Autor
- Tyna Eloundou
- Pamela Mishkin
- Sam Manning
- Caroline Chin
- Joana Mendonça
- Daniel Rock
- Martin Kenney
Citations in the corpus
- GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models (2023, methodology): “…for all other US occupations (Frey and Osborne, 2017), modeling task-level automation and aggregating the results to occupation-level insights (Arntz et al., 2017), collecting expert forecasts (Grace et al., 2018), and most relevantly to this paper, devising a new rubric to assess worker…”
- German Robots - The Impact of Industrial Robots on Workers (2017, background): “Arntz et al. (2017) account for task specialization within occupations and put a substantially smaller share of jobs (only 9”
- Exposure of occupations to technologies of the fourth industrial revolution (2021, background): “Arntz et al. (2017) show that accounting for job heterogeneity within occupations leads to a more normal distribution with more medium CP jobs, and thus much fewer “high-risk” occupations.”
- Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors (2021, background): “Others paint a more optimistic picture, predicting that as many new jobs will be created by new technologies as are displaced (Arntz et al., 2017).”
- New Frontiers: The Origins and Content of New Work, 1940–2018 (2022, background): “…(2006), Goos and Manning (2007), Goos et al. (2009), Acemoglu and Autor (2011), Autor and Dorn (2013), Goos et al. (2014) Michaels et al. (2014), Akerman et al. (2015), Arntz et al. (2017), Bárány and Siegel (2018), Dillender and Forsythe (2019), Cortes et al. (2020), and Harrigan et al. (2021).”
- The impact of automation on employment: just the usual structural change? (2018, background): “[51] pointed out that focusing on occupations rather than the actual task content of jobs (which may vary from workplace to workplace) overestimates the automatability.”
- Digital technologies, innovation, and skills: emerging trajectories and challenges (2021, background): “…relies on quantitative research on the adoption of information and communication technology (ICT) (e.g., Autor et al., 1998; Bresnahan et al., 2002) and automation (e.g., Arntz et al., 2017; Bessen, 2019) and the extent to which they replace humans in performing tasks (Acemoglu and Restrepo, 2018).”
- Is this time different? How digitalization influences job creation and destruction (2019, result): “Both their and our result run counter to the overly negative prediction by Frey and Osborne (2017), which has received much attention by politicians and the popular press although it does not hold up to more rigorous approaches (Arntz et al., 2017).”