COVID-19 and remote work: An early look at US data E Brynjolfsson, JJ Horton, A Ozimek, D Rock, G Sharma, HY TuYe National Bureau of Economic Research, 2020 | 1462 | 2020 |
Artificial intelligence and the modern productivity paradox E Brynjolfsson, D Rock, C Syverson The economics of artificial intelligence: An agenda 23, 23-57, 2019 | 1303 | 2019 |
What can machines learn and what does it mean for occupations and the economy? E Brynjolfsson, T Mitchell, D Rock AEA papers and proceedings 108, 43-47, 2018 | 655 | 2018 |
Gpts are gpts: An early look at the labor market impact potential of large language models T Eloundou, S Manning, P Mishkin, D Rock arXiv preprint arXiv:2303.10130, 2023 | 601 | 2023 |
The productivity J-curve: How intangibles complement general purpose technologies E Brynjolfsson, D Rock, C Syverson American Economic Journal: Macroeconomics 13 (1), 333-372, 2021 | 500 | 2021 |
Digital capital and superstar firms P Tambe, L Hitt, D Rock, E Brynjolfsson National Bureau of Economic Research, 2020 | 149* | 2020 |
Engineering value: The returns to technological talent and investments in artificial intelligence D Rock Available at SSRN 3427412, 2019 | 83 | 2019 |
Understanding and addressing the modern productivity paradox E Brynjolfsson, S Benzell, D Rock | 20 | 2020 |
How many Americans work remotely? a survey of surveys and their measurement issues E Brynjolfsson, JJ Horton, C Makridis, A Mas, A Ozimek, D Rock, HY TuYe National Bureau of Economic Research, 2023 | 11 | 2023 |
How to Capitalize on Generative AI A McAfee, D Rock, E Brynjolfsson Harvard Business Review, 2023 | 9 | 2023 |
Quantifying the Distribution of Machine Learning’s Impact on Work E Brynjolfsson, MR Frank, T Mitchell, I Rahwan, D Rock Forthcoming.-2023, 2023 | 8 | 2023 |
How Will Machine Learning Transform the Labor Market? E Brynjolfsson, D Rock, P Tambe Governance in an Emerging New World 619, 2019 | 8 | 2019 |
MIT Sloan Management Review Article on How Managers Can Enable AI Talent in Organizations D Rock MIT Sloan Management Review, 2020 | 7 | 2020 |
Unpacking the AI–Productivity Paradox E Brynjolfsson, D Rock, C Syverson MIT Sloan Management Review, 2018 | 5 | 2018 |
Identification of peer effects in networked panel data D Rock, S Aral, SJ Taylor | 4 | 2016 |
job2vec: Learning a representation of jobs S Bana, E Brynjolfsson, D Rock, S Steffen | 3 | 2020 |
Do Labor Demand Shifts Occur Within Firms or Across Them? Non-Routine-Biased Technological Change, 2000-2016 S Benzell, G Lagarda, D Rock | 3* | 2018 |
Understanding and Addressing the Modern Productivity Paradox” research brief published by the MIT Work of the Future Task Force, November 2020 E Brynjolfsson, S Benzell, D Rock A more in-depth analysis and explanation is given in Erik Brynjolfsson …, 2021 | 2 | 2021 |
How to solve the puzzle of missing productivity growth E Brynjolfsson, SG Benzell, D Rock Brookings Institution, 2021 | 1 | 2021 |
Essays on information technology, intangible capital, and the economics of artificial intelligence DI Rock Massachusetts Institute of Technology, 2019 | 1 | 2019 |