David Nguyen
Research Scientist, Stanford Digital Economy Lab, Stanford HAI
My research lies at the intersection of artificial intelligence, economic measurement and the digital economy. I study how to measure the economic value of AI, including consumer welfare gains from generative AI that are not captured in GDP, and how AI reshapes the allocation of tasks across workers, firms and households.
I also use AI as a measurement tool, for example by augmenting survey data with large language models in economic research. Much of this builds on GDP-B, a framework for measuring the benefits of the digital economy that I work on with Erik Brynjolfsson.
I am also a Research Associate at the Economic Statistics Centre of Excellence. Before Stanford I was an economist at the OECD and NIESR. I hold a PhD from the London School of Economics.
News
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I joined Panel I, “Rural innovation and startup ecosystems: Evidence and future directions”, at the European Startup Village Forum in Brussels, hosted by the European Commission's Joint Research Centre (JRC). I discussed disparities in AI use and how AI could lead to further concentration of economic activity. See my LinkedIn post.
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I am honored to be serving as a program chair for the next ESCoE Conference on Economic Measurement, held in Bristol. The call for papers opens soon.
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I co-organized a two-day workshop in Cambridge on the economics of data with the Bennett School of Public Policy, the Stanford Digital Economy Lab and Anmut. Around 40 experts from industry, academia and government discussed what we should be measuring when we value data. See my LinkedIn post.