AETRON Manifesto Background
[AETRON manifesto]

Infrastructure

for verifiable AI

By 2026, artificial intelligence has caught up with electricity and connectivity in significance. Governments, banks, healthcare and defence are starting to make automatic decisions through AI models. AETRON makes this infrastructure decentralised. Verifiable. Reachable without capital outlay on data centers.

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AI as the new critical infrastructure

AI is no longer a separate tool. It's the base resource on which governments, regulators and major industries are starting to make consequential decisions. Without verifiability and without distribution, that infrastructure rests on trust in a handful of private companies.

AI users (2026)
1.1B
13% of the world's population

people already use AI at least occasionally

AI infrastructure (2025)
$370B
+224% growth$1,2T by 2030

expansion of the AI infrastructure market

Enterprise adoption
91%
72% run AI in production

of organisations use AI in at least one process

AI is closing inside a handful of corporations

AI capabilities are growing fast. Access to them is concentrating in 5–7 of the world's largest corporations. The EU, France, the UK and India have flagged this as a geopolitical risk. In parallel, regulators are introducing requirements that are technically impossible to meet without a new kind of infrastructure.

01
5–7

Concentration of frontier models

of the world's largest corporations train and serve the frontier AI models

The EU, France, the UK and India have flagged this concentration as a geopolitical risk

02
2026
EU AI Act

Verifiability requirement

Regulators want proof of which model decided about a citizen

0 tools in the industry before AETRON

03
170 TWh

Energy with no benefit

a year goes into Proof-of-Work hashes with nothing useful in return

More than the annual consumption of Argentina or Norway, spent on math problems with no practical value

0.1% for verification, 99.9% for work

AETRON's cryptographic verification consumes 0.1% of a miner's compute. Most industry alternatives sit at 2–10%. AETRON is 20–100× more efficient.

AETRON
0.1%
competitors
2–10%

share of compute spent on cryptographic verification

0.1%
Verification overhead

What AETRON spends verifying LLM. Competitors take 2–10%.

7500×
Safety margin

Gap between the normal range and an attack relative to the noise floor

$120–240K
Annual savings

Per medium neuronet - a 100-GPU H100 cluster - compared with competitor verification stacks

Bitcoin → DeFi → AIfi

Over 15 years blockchain went through three stages. Bitcoin as digital gold, a market of about $1.3T. DeFi as decentralized finance, about $73B in TVL. AIfi is the decentralized economy of AI. AETRON positions itself as the infrastructure base of that category.

2010–2015
Bitcoin

Digital gold. ~$1.3T market.

2017–2020
DeFi

Decentralized finance. About $73B in TVL.

2024–2026
AIfi

Decentralized economy of AI. The infrastructure layer is AETRON.

Instruments that did not exist before

  • Neuronet tokenization: each AI service as a tradeable digital asset with a claim on emission
  • AI-compute insurance with automatic payout when a model error is cryptographically proven
  • Model royalties: automatic payment to the author of a trained model on every use, no intermediaries
  • Compute futures and index products on baskets of neuronets - the ETF analogue of traditional finance

Premium jurisdictions - Monaco, Luxembourg, Singapore, Switzerland, the UAE - get the option to position themselves as the first regulated hub of AIfi instruments.

AETRON as infrastructure for verifiable AI

A network where every AI computation is backed by a cryptographic proof. Governments, banks and academia run services on top of a distributed compute base - without billions on data centers and without trusting any single company.

01

A distributed compute base

An AI service runs not in one data center but on thousands of GPUs across the network. The capital barrier of national AI infrastructure drops by an order of magnitude.

02

Proof of Intelligence

Every unit of AI work is cryptographically verified. In the final tests of May 2026 the defense passed all six attack categories with a 7500-fold safety margin to the noise floor.

03

Neuronets as AI services

The base unit of the network. Each neuronet is a standalone AI service with three roles: owner, miners, stakers. Emission is split automatically by confirmed work.

04

Energy without new consumption

AETRON does not create new energy consumption. The network uses computers already running in offices, data centers and homes - and directs their compute to useful AI work. A fundamental difference from Proof-of-Work, where energy is added to a country's balance specifically for hashing.

Where this leads

When AI becomes a verifiable, distributed infrastructure, new options open up for governments and industries.

Healthcare

AI diagnostics with a cryptographic proof of the specific model used. This becomes the standard in public healthcare.

Climate

Climate models run on the distributed compute base of states without any capital outlay on data centers.

Education

Government-run AI tutors in national languages. Access stops being limited by geography or income.

Open infrastructure for AI

A network that no single private party can shut down or capture - including the development team itself. The network currently runs on Proof of Authority, with a planned transition to voting by validators: runtime upgrades and protocol parameters will be approved by votes of independent validators, not by a closed council.

01

Censorship resistance - no single party can block access to the network

02

Open-source runtime, coming soon - any third party will be able to verify independently how the network operates

03

Transition to on-chain governance - decisions will be made by validators voting, not a closed council

04

A full copy of the network at every validator - the node runs independently of sanctions and geopolitics

CTA Background