collaborators

6 papers

cs.RO2026

How exposed is work to robotics? Occupational, industry, and geographic measures

Sebastian Sartor, Robert Seamans, Neil Thompson

Exposure indices that map technical capabilities onto occupational abilities have become a standard tool for anticipating how AI may reshape work, but existing measures either cove…

cs.AI2026

Right Order, Wrong Scale: Auditing LLM Judges for Occupational AI Measurement

Harry Lyu, Neil Thompson

LLM judges are increasingly used to assess whether AI outputs meet workplace requirements, but agreement on response rankings does not establish agreement on acceptance rates or oc…

econ.GN2026

AI Adoption in S&P 500 Firms

Yang Yu, Martin Fleming, Lucy Hampton +2

The adoption of artificial intelligence (AI) by large enterprises is an important potential source of aggregate productivity improvement and labor market impact. We study AI adopti…

cs.AI2026

Crashing Waves vs. Rising Tides: Findings on AI Automation from Thousands of Worker Evaluations of Labor Market Tasks

Matthias Mertens, Adam Kuzee, Brittany S. Harris +6

We characterize AI automation as a continuum between crashing waves, in which capabilities jump abruptly across narrow task sets, and rising tides, in which capabilities improve co…

econ.GN2026

Economics of Human and AI Collaboration: When is Partial Automation More Attractive than Full Automation?

Wensu Li, Atin Aboutorabi, Harry Lyu +4

This paper develops a unified framework for evaluating the optimal degree of task automation. Moving beyond binary automate-or-not assessments, we model automation intensity as a c…

cs.AR2026

How Much Progress Has There Been in NVIDIA Datacenter GPUs?

Emanuele Del Sozzo, Martin Fleming, Kenneth Flamm +1

As the role of modern Graphics Processing Units (GPUs) becomes increasingly essential for several computing tasks, analyzing their past and current progress is paramount for determ…