Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics

By Erik Brynjolfsson, Daniel Rock, Chad Syverson. 2017

699 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/30d3715f9ed3f240e5d208db4f6c8ee8792edf91

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In Economics and Econometrics

Citations in the corpus

Engineering Value: The Returns to Technological Talent and Investments in Artificial Intelligence (2019, positive): “There is enduring disagreement about how and to what extent firms can appropriate the human capital investments of their workers (Acemoglu and Pischke 1998; Acemoglu and Pischke 1999; Brynjolfsson et al. 2018).”
What Can Machines Learn, and What Does It Mean for Occupations and the Economy? (2018, positive): “So far, the realized economic effects are small relative to the potential offered by this new GPT ( Brynjolfsson, Rock, and Syverson 2017 . reflects the time This lags of years or even decades before GPTs generate substantial economic value.”
The Role of Cooperation in Responsible AI Development (2019, background): “AI also has the potential to be a general purpose technology—a technology that radically affects many sectors of the economy—and if this is the case we should expect its impact to be systemic (Brynjolfsson et al., 2018; Cockburn et al., 2018).”
Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks (2020, positive): “This implies that ML may facilitate the automation of many more types of tasks than were feasible in previous waves of technological progress (Brynjolfsson et al., 2018).”
Artificial intelligence and big data in entrepreneurship: a new era has begun (2019, background): “…in broader research fields that are often seen as foundational for entrepreneurship research, such as economics (Acemoglu and Restrepo 2018; Brynjolfsson et al. 2017; Einav and Levin 2014), economic policy (Agrawal et al. 2019), innovation (Aghion et al. 2017), management (George et al.…”
Does Machine Translation Affect International Trade? Evidence from a Large Digital Platform (2018, background): “breakthroughs into practical applications such as self-driving cars, substitutes for human-powered call-centers, and new roles for radiologists and pathologists, but the complementary innovations required are often costly (Brynjolfsson et al. [2017]). Machine translation has also experienced signifi”
Digital technologies, innovation, and skills: emerging trajectories and challenges (2021, background): “21 increased productivity—it has to be accompanied by transformations in the firm, jobs, and skills (Brynjolfsson et al., 2017).”