Documents
All SEBE documents are open source under CC-BY 4.0. Use them, adapt them, argue with them.
Policy
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Tax Robots, Fund People
Four-page overview: the problem, the mechanism, the revenue, the ask.
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SEBE: Green Party Policy Submission
Policy submission to PDC and Economy PWG. Three-framing structure: present harms, trajectory, desired outcome. MMT-framed.
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Infrastructure-Based Taxation for the Post-Employment Economy
Full academic analysis for think tanks and researchers. Technical feasibility, rate derivation, research agenda.
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Inflation Control for the Post-Employment Economy
MMT-framed analysis. SEBE as inflation control instrument, anchor migration from labour to energy, self-balancing fiscal design.
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Tax Robots, Fund People
Plain language guide. No jargon. What it is, who pays, what you get.
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Appendix A: Metering, Enforcement and Billing
Technical appendix to the policy submission. How SEE and DCD are metered using existing infrastructure, enforced at physical chokepoints, and billed monthly.
Models & Evidence
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SEBE Revenue Model
Source of truth for all SEBE revenue figures. First-principles derivation from DESNZ and Ofcom data.
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SEBE Cost Model
SEBE revenue in context: scale relative to existing taxes, what it could replace, what it could fund.
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SEBE Distribution Model
Illustrative two-stage UBI to Universal Living Income transition. Full costing and sensitivity analysis.
Analysis
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Why Brookings Gets AI Taxation Wrong
Detailed response to Korinek and Lockwood's AI taxation framework (January 2026).
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The Asymmetry of Automation Risk
Six automation waves, four structural breaks, one asymmetric risk. MMT framing: withdrawal capacity, bathtub model, sectoral balances, EC661 alignment.
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The Asymmetry of Automation Risk (Orthodox Framing)
Orthodox variant. Same historical evidence, framed through revenue and tax base erosion rather than MMT withdrawal capacity.
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Strategic Analysis: Global Order in Transition
Strategic analysis of dollar-system erosion, with UK implications and four trajectory scenarios.
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The Agentic Fluency Trap
Why AI doesn't need to improve for displacement to accelerate. The compounding fluency curve and METR time horizon data.