Automation and the Workforce: A Firm-Level View from the 2019 Annual Business Survey

Acemoğlu, Daron; Anderson, Gary L.; Beede, D.K.; Buffington, Cathy; Childress, Eric; Dinlersoz, Emin; Foster, Lucia; Goldschlag, Nathan; Haltiwanger, John; Kroff, Zachary; Restrepo, Pascual; Zolas, Nikolas

doi:10.3386/w30659

Cited by 25 publications

(16 citation statements)

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“…In line with our study,Acemoglu et al (2022a) find that the adoption of AI, robotics, dedicated equipment, specialized software, and cloud computing remains low across firms in the U.S.21 Appendix TableA.3 also shows differences in initial firm and workforce characteristics by adoption group.…”

supporting

confidence: 82%

“…23 Similarly, Zolas et al (2020) rely on a large-scale firm survey in the U.S. and find that AI adoption is rare and generally skewed towards larger firms. Equally, Acemoglu et al (2022a) find for the U.S. that the adoption of AI, robotics, dedicated equipment, specialized software, and cloud computing remains low (especially for AI and robotics), varies substantially across industries, and concentrates on large and young firms. For our subsequent analysis of changes in the occupation structure in Germany, these results point to significant initial differences in size and occupation structure between adopters and non-adopters and nuanced differences between digital adopters and frontier adopters.…”

Section: Determinants Of Firms' Technology Adoptionmentioning

confidence: 99%

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De-Routinization in the Fourth Industrial Revolution - Firm-Level Evidence

Arntz,

Genz,

Gregory

et al. 2024

SSRN Journal

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supporting

confidence: 82%

Section: Determinants Of Firms' Technology Adoptionmentioning

confidence: 99%

De-Routinization in the Fourth Industrial Revolution - Firm-Level Evidence

Arntz,

Genz,

Gregory

et al. 2024

SSRN Journal

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“…Particular technologies which need more specific knowledge or critical mass for implementation (such as resource planning for back office and customer relationship management technology for front office) often see a greater divide between small and large firms. Acemoglu et al (2022b) collect data on the use of over 300,000 firms on the use of five advanced technologies: AI, robotics, dedicated equipment, specialised software, and cloud computing. They find that usage in the US remains low but has considerable differences across firms.…”

Section: Barriers To Digitalisation and Differences Across Firms And ...mentioning

confidence: 99%

Irish enterprise digitalisation: A cross-country exploration

Hogan,

Kren,

O'Toole

2024

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This research provides a cross-country perspective on the rate of digitalisation of Irish enterprises. We explore differences across countries, sectors and firm size categories by deploying data on both the usage of digitalisation technologies (stock of digital activities) as well as investment in new digital activities (flow). We draw on two main datasets: a) the Eurostat ICT usage in enterprises survey; and b) the European Investment Bank Investment Survey. We find that Ireland performs relatively well in terms of e-commerce and some more advanced technologies. However particular sectors and firm size groups (such as construction and smaller firms) display low levels of digitalisation. This supports the continued deployment of a sector-specific targeted policy approach that can cater for heterogeneous challenges faced by different firms. We find some evidence of correlations between enabling factors like employment skill levels and the cost of finance and the level of investment in digitalisation.

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“…Such an environment will require continuous (re) training and intellectual malleability: adaptability of the human worker will be key. It is also likely that the adoption of new technologies will result in increasing demand for workers with higher-levels skills (Acemoglu et al, 2022b), but, at the same time, the loss of economies of scope in human judgement remains a real risk in environments where artificial intelligence does much of the work (Acemoglu, forthcoming).…”

Section: Chatgpt and The Implications For Industrymentioning

confidence: 99%

Discussing ChatGPT’s implications for industry and higher education: The case for transdisciplinarity and digital humanities

Dianova,

Schultz

2023

Industry and Higher Education

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This comment builds on the example of chat generative pretrained transformer (ChatGPT) to discuss the implications of generative AI on industry and higher education, underlining the need for more transdisciplinary digital literacy education. The release of ChatGPT has generated significant academic and professional interest and instigated a vibrant discussion on the opportunities offered and challenges posed by powerful and readily accessible generative AI reshaping teaching and learning at universities. ChatGPT has reignited an age-old debate on the impact of disruptive technologies on occupations and the labor market, but recent discussions have paid little attention to how university offerings may need to adapt. We strive to open this discussion arguing that while recent GPT technology has, indeed, made more conceivable the substitution of many tasks of white-collar and knowledge workers, and suggested an acceleration of the labor market shift towards technology-centric occupations, it has simultaneously made a stronger-than-ever case for transdisciplinary competences. Consequently, we emphasize the need to foster more transdisciplinary digital literacy in universities with curricula that provide breadth of knowledge and flexibility of mind, bridging humanities with STEM disciplines. Digital humanities education is in a unique position to promote the responsible use of generative AI, while encouraging critical reflection on its socio-cultural embeddedness.

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Automation and the Workforce: A Firm-Level View from the 2019 Annual Business Survey

Cited by 25 publications

References 0 publications

De-Routinization in the Fourth Industrial Revolution - Firm-Level Evidence

De-Routinization in the Fourth Industrial Revolution - Firm-Level Evidence

Irish enterprise digitalisation: A cross-country exploration

Discussing ChatGPT’s implications for industry and higher education: The case for transdisciplinarity and digital humanities

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