Bitcoin mining as infrastructure: a conditional case
Explore how a conceptual study links Bitcoin mining to grid flexibility and settlement security under specific conditions.
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Author
Murray Rudd
Dr. Murray Rudd is an applied environmental economist and policy researcher. His full attention is now on the economic, social, technical, and environmental impacts and potential of emerging technologies.
Fiscal Dominance and the Risk of a Sovereign-Debt Regime Shift
Explore how fiscal dominance, private credit, bond intervention, and physical bottlenecks can reshape sovereign-debt stability.
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Bitcoin's price power law: mechanism or fit?
Explore how a 2026 study links Bitcoin price scaling to adoption and network value, and where its mechanistic claims outrun the evidence.
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A power law is not a theory of Bitcoin price
Bitcoin’s long-run price scaling is real. But supply, adoption, and market structure suggest it is better understood as an empirical regime.
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The Turing Trap: AI, Automation, and Power
Explore how human-like AI risks a political trap where automation concentrates wealth and strips workers of bargaining power.
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The Productivity J-Curve and Intangible Capital
Explore how unmeasured intangibles cause two-sided productivity mismeasurement, forming a J-curve explaining recurring technological paradoxes.
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Measuring digital welfare via choice experiments
Explore how online choice experiments measure consumer surplus from zero-price digital goods, revealing private welfare gains absent from GDP.
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Economics of transformative AI: a research agenda
Explore how economists can prepare for transformative AI through nine grand challenges, new indicators, and scenario planning.
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Evidence-based AI policy architecture
Explore how AI policy can act as a reciprocal system to accelerate evidence generation across the technology lifecycle.
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Mapping the opacity of foundation models
Explore how the Foundation Model Transparency Index reveals AI documentation blind spots and challenges assumptions about open and closed models.
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Social pressure drives AI adoption
Explore how social pressure and peer adoption scenarios drive parental demand for educational AI, even when cognitive risks are known.
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GPT-4 capability atlas and AGI sparks
Explore how early GPT-4 shows unprecedented cross-domain breadth but exposes profound architectural limits in planning and explanation fidelity.
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