Tax Robots, Fund People

Jason Huxley Version 1.0 February 2026

The UK government raises £534 billion a year from taxing workers’ wages. Income Tax brings in £329 billion. National Insurance adds another £205 billion. Together, that is 42% of all government revenue. Every pound of it depends on people having jobs.

Automation is destroying those jobs. Not in some distant future. Now. Machine learning systems already outperform human diagnosticians, human traders, human translators and human customer service agents. Large language models handle legal research, code review, financial analysis and content production at a fraction of the cost of a salaried employee. Every AI system deployed is a salary that disappears from the tax base.

The fiscal arithmetic is simple and brutal. As employment falls, income tax and National Insurance revenue fall with it. Meanwhile, the people who lost those jobs need more support, not less. Revenue shrinks. Costs grow. The scissors close.

No existing UK tax solves this. Corporation Tax is an accounting fiction: multinationals structure their affairs to declare minimal profit in the UK regardless of how much economic activity they conduct here. VAT falls with consumer spending, which falls with unemployment. Capital Gains Tax is volatile. None of them track the physical infrastructure of automated production.

The insight

Here is what I noticed while working as an infrastructure engineer: every computation consumes electricity. Every GPU cycle, every model inference, every automated warehouse robot, every algorithmic trade. A processor is, in thermodynamic terms, a nearly perfect heater. The energy it consumes is physical, measurable and unavoidable. You cannot transfer-price a kilowatt-hour to Dublin. You cannot restructure electrons through a subsidiary in Luxembourg. The meter reads what it reads.

And every offshore AI service crosses a physical border. When a UK business calls the OpenAI API, that data crosses an undersea cable. When a UK bank runs its models on AWS Ireland, the traffic is measurable at the Internet Exchange Point. These are not abstract flows. They are bits on fibre, countable at the point where the cable meets UK jurisdiction.

Tax those two things. Energy consumption and cross-border commercial data. The physical inputs to automated production. That is the Sovereign Energy and Bandwidth Excise (SEBE).

How it works

SEBE has two components.

The Sovereign Energy Excise (SEE) taxes commercial electricity consumption in facilities above 500kW. That threshold exempts every small business, every shop, every restaurant. It targets data centres, automated warehouses, large-scale manufacturing and AI training facilities. Metering uses a Hardware Root of Trust at three points (generation, storage and load) to prevent evasion.

SEE rate structure:

Consumption Bracket Rate (£/kWh)
0-500kW Exempt
500kW-5MW £0.08
5MW-50MW £0.20
>50MW £0.45

SEE revenue at launch (70 TWh taxable base plus ~60 TWh non-compute commercial): £24-28 billion (2026 prices). For context: the Climate Change Levy raises £2 billion at £0.00775/kWh. SEE at a weighted average of £0.16/kWh is a step change, but comparable in scale to fuel duty (£25 billion).

The Digital Customs Duty (DCD) is a border tariff on commercial data crossing the UK digital border. Consumers are exempt. Domestic data centre traffic is exempt (it pays SEE on energy instead). DCD targets UK businesses using offshore cloud providers, calling offshore APIs or running compute workloads abroad.

DCD rate structure:

Annual Border Traffic Rate
< 10 PB/year £200/TB
10-100 PB/year £400/TB
> 100 PB/year £800/TB

DCD revenue at launch: £7-10 billion (2026 prices). Revenue remains roughly stable as the deterrent effect repatriates compute to UK facilities where SEE applies instead.

The numbers

Combined SEBE at launch (2030): £34-46 billion/year (2026 prices, CPI-indexed rates).

Revenue growth trajectory (all figures 2026 real prices):

Year SEE DCD Total SEBE
2030 (launch) £30B £8B £38B
2033 £40B £8B £48B
2035 £50B £7B £57B
2040 £83B £10B £93B
2045 £140B £19B £159B

SEBE vs existing UK taxes:

Tax Revenue (£B) SEBE equivalent year
Inheritance Tax 7 Exceeds at launch
Stamp Duty 15 Exceeds at launch
IHT + SD + CCL + Tobacco ~34 Comparable at launch
Corporation Tax 100 ~2038
National Insurance 205 ~2047

Revenue is self-scaling: as automation replaces human labour, the tax on automation infrastructure grows automatically.

Sensitivity (launch year):

Scenario SEE DCD Total
Conservative £16B £4B £20B
Mid £24B £8B £32B
High £35B £15B £50B

Even at half the projected rate, SEBE at launch is larger than Inheritance Tax and growing.

Why it cannot be gamed

SEBE taxes physical resource consumption, not accounting constructs. A multinational can declare zero profit in the UK by routing intellectual property through Ireland. It cannot route its electricity consumption through Ireland. The data centre in Slough draws power from the grid and the meter records it.

Hardware Root of Trust metering (tamper-evident, cryptographically attested, bidirectional for battery storage) prevents dark compute. One physical measurement replaces thousands of pages of corporate accounting.

The income tax replacement argument

Current employment-linked revenue (£534 billion) represents 42% of government revenue. As automation erodes employment, this shrinks. SEBE grows in the opposite direction.

Year SEBE As % of Income Tax (£329B)
2030 £38B 12%
2035 £57B 17%
2040 £93B 28%
2045 £159B 48%

SEBE does not need to replace all of income tax immediately. It needs to grow faster than income tax shrinks. If automation erodes income tax at 2-3% per year and SEBE grows at 10-15% per year (tracking compute capacity growth), the crossover occurs in the 2040s.

What the money is for

SEBE is a revenue mechanism, not a welfare design. The money could fund anything: Universal Basic Income, National Insurance reductions, NHS expansion, deficit reduction, or a combination. That is a political choice, not a technical constraint.

One illustrative use: a modest UBI starting at roughly £650 per adult per year at launch (58.8 million adults, ONS 2030 projection), growing automatically as SEBE revenue increases. Not life-changing in year one. But self-scaling. As machines replace workers, the payment grows.

Full proposal

The full proposal, including SEBE Revenue Model derived from first principles, SEBE Cost Model, SEBE Distribution Model and Infrastructure-Based Taxation for the Post-Employment Economy, is open-source:

github.com/djarid/SEBE

This needs challenge. It needs economists to stress-test the revenue projections, the behavioural elasticity assumptions and the feedback loop dynamics. The revenue model has been through four rounds of adversarial review but has not had professional fiscal scrutiny. That is what I am asking for.

The work is open. The licence is CC-BY 4.0. I would welcome your critique.