The paper defines five AI system categories for public administration and reports that 55% of 91 recent papers leave the system type underspecified while 31% study one type but motivate with another.
GPTs Are GPTs: Labor Market Impact Potential of LLMs
9 Pith papers cite this work, alongside 514 external citations. Polarity classification is still indexing.
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2026 9polarities
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Fluent AI users adopt an active, iterative collaboration mode that produces more visible failures but better recovery and success on hard tasks, whereas novices experience more invisible failures from passive use.
The authors introduce Agentivism as a learning theory for human-AI interaction that explains how durable capability develops through selective delegation, epistemic monitoring, reconstructive internalization, and transfer under reduced support.
Difference-in-differences analysis around ChatGPT release shows commoditization of labor in AI-exposed job categories on Upwork, with declining human capital importance and rising price importance.
Generative AI adoption in Europe ranges from under 3% to 25%, is steeper for skilled workers in abstract-task jobs and in digitally advanced countries with training, shows a gender gap in exposed roles, and has produced no detectable shift in reported task content so far.
Presents a three-tension framework for evaluating and designing agentic AI initiatives in K-12 and higher education.
Proposes GAGI, a publicly computable index adjusting GDP per capita for inequality and prices to monitor welfare-adjusted prosperity in G7 economies from 2010-2026.
A value-theory model of AGI predicts that near-complete labor substitution drives living labor, surplus value, and the profit rate toward zero.
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A Technical Typology of AI Systems in Public Administration
The paper defines five AI system categories for public administration and reports that 55% of 91 recent papers leave the system type underspecified while 31% study one type but motivate with another.
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Fluent AI users adopt an active, iterative collaboration mode that produces more visible failures but better recovery and success on hard tasks, whereas novices experience more invisible failures from passive use.
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Agentivism: a learning theory for the age of artificial intelligence
The authors introduce Agentivism as a learning theory for human-AI interaction that explains how durable capability develops through selective delegation, epistemic monitoring, reconstructive internalization, and transfer under reduced support.
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Human Capital, AI, and Labor Commoditization
Difference-in-differences analysis around ChatGPT release shows commoditization of labor in AI-exposed job categories on Upwork, with declining human capital importance and rising price importance.
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From Exposure to Adoption: Generative AI in European Workplaces
Generative AI adoption in Europe ranges from under 3% to 25%, is steeper for skilled workers in abstract-task jobs and in digitally advanced countries with training, shows a gender gap in exposed roles, and has produced no detectable shift in reported task content so far.
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Addressing the Reality Gap: A Three-Tension Framework for Agentic AI Adoption
Presents a three-tension framework for evaluating and designing agentic AI initiatives in K-12 and higher education.
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GAGI: A Gini-Adjusted GDP-per-Capita Index for Distribution-Aware Macroeconomic Welfare Monitoring
Proposes GAGI, a publicly computable index adjusting GDP per capita for inequality and prices to monitor welfare-adjusted prosperity in G7 economies from 2010-2026.
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AGI and the Limits of Value Production
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