Two of Europe’s biggest tech giants are not investing, not “testing,” not running pilots - they’re operating validator nodes on this blockchain right now.
The token powering it?
Down over 90% from its all-time high. Trading around $0.30.
This is Fetch.ai (FET) - a project building autonomous AI agents that can think, negotiate, and execute transactions without human input.
Real artificial intelligence doing real work on-chain.
Today we’re breaking down:
- What Fetch.ai actually does
- The tokenomics after the ASI merger
- Institutional partnerships
- How it compares to Render and Bittensor
- And exactly how many FET tokens you’d need to retire as a millionaire
Coin Introduction & Quick Stats
Fetch.ai was founded in 2017 with a bold vision: to create a decentralized machine-learning network powered by Autonomous Economic Agents.
Think of these agents as digital workers:
- They can negotiate prices
- Execute tasks
- Make payments
- Interact with other agents or devices
All without a human clicking buttons.
The Team
- Humayun Sheikh (CEO) - early investor in DeepMind (later acquired by Google)
- Toby Simpson (CTO) - AI and software systems background
- Thomas Hain (Chief Science Officer) - machine learning and speech recognition
This is not a meme team. These are AI veterans.
The Tech
Fetch.ai runs as a Layer-1 blockchain built with Cosmos-SDK, optimized for:
- High-performance smart contracts
- AI agent deployment
- Interoperability across chains
In short:
👉 A blockchain purpose-built for AI agents, not bolted on as an afterthought.
Tokenomics & Supply Analysis
This is where FET gets interesting - and controversial.
Supply
- Max supply: ~2.7 billion FET
- Circulating supply: ~2.6 billion FET
That means almost fully diluted.
This is important:
- No massive future unlock cliffs
- Minimal inflation risk going forward
- Demand matters more than token emissions
Original Allocation (Pre-Merger)
- ~230M FET → Foundation
- ~133M FET → Private investors
- ~65M FET → Public sale
- ~200M FET → Community incentives (released over 5 years)
Public sale tokens were fully unlocked at launch. Foundation and private tokens vested gradually.
The ASI Merger Shock
In 2024, Fetch.ai merged with SingularityNET to form the Artificial Superintelligence Alliance (ASI).
As part of this:
- AGIX and OCEAN tokens migrated into FET
- ~1.47 billion new tokens were added to supply
This explains why FET’s supply looks so bloated today - and why price collapsed.
Utility
FET is required to:
- Create and deploy AI agents
- Access agent services
- Pay for computation and coordination
- Stake to secure the network
Staking rewards exist, giving holders yield while securing the chain.
Network Performance & Ecosystem Growth
Fetch.ai isn’t just theory - it’s quietly building.
Enterprise Validators
- Bosch
- Deutsche Telekom
- IOTA
Together, they’re building the “Economy of Things”:
- IoT devices negotiating autonomously
- Smart grids setting prices
- EVs negotiating charging fees
This is machine-to-machine commerce.
АSI Alliance
Fetch.ai fully merged with SingularityNET, combining:
- Fetch’s agent infrastructure
- SingularityNET’s AI marketplace
Оcean Protocol later stepped away, but that clarified focus rather than weakening it.
Inside the ecosystem:
- Agentverse - deploy and test autonomous agents
- ASI Wallet - identity + payments for AI agents
Think of it as ChatGPT with a wallet and autonomy.
Decentralization & Risk Factors (The Hard Truth)
Let’s be real - FET is not risk-free.
Token Risk
- Foundation still controls large reserves
- Quarterly vesting means constant sell pressure
- The ASI merger was a massive one-time dilution
If governance goes wrong, price gets wrecked.
Validator Concentration
Yes, Bosch and Telekom sound bullish -but institutional validators can dominate governance if decentralization stalls.
Bittensor already learned this lesson the hard way.
Adoption Risk
Autonomous agents sound amazing… but real-world usage is still early and slow.
If adoption doesn’t materialize in the next 18–24 months, capital rotates elsewhere.
Regulatory Risk
AI agents executing financial transactions autonomously is a regulatory nightmare. This could attract scrutiny globally.
Competitive Landscape: FET vs Others
This is where many people get it wrong.
- Render → GPU compute (AI shovels)
- Bittensor → model training and incentives
- Fetch.ai → autonomous AI economy
FET isn’t selling compute.
It’s trying to own the coordination layer of intelligence itself.
That’s either:
- Hugely visionary
- Or too ambitious
No middle ground.
Price History & Millionaire Math
Let’s talk numbers.
Price History
- All-time high: ~$3.40
- Current price: ~$0.30
- Drawdown: ~90%
But if you bought the March 2020 bottom?
👉 You’d still be up ~4,000%.
This isn’t dead - it’s reset.
Millionaire Math
🧊 Bear Case
Price target: $2.10
Multiple: ~7x
- Tokens needed: ~476,000 FET
- Cost today: ~$142,000
🚀 Bull Case
Price target: $10
Multiple: ~33x
- Tokens needed: 100,000 FET
- Cost today: ~$30,000
At $10:
- Market cap ≈ $25B
- Same size as Dogecoin - a meme
- Fetch.ai would be running real AI infrastructure
Institutional Catalysts
Why could this actually happen?
- Listed on all major exchanges
- Backed by Bosch & Deutsche Telekom validators
- Unified under the Artificial Superintelligence Alliance
- One of the clearest plays on decentralized AI infrastructure
No ETF yet - but if institutions want AI crypto exposure, this is one of the cleanest candidates.
OUTRO
Fetch.ai is either:
- The backbone of decentralized intelligence
- Or an over-engineered experiment that never hits mass adoption
But at $0.30, the asymmetry is undeniable.
Now I want to hear from you 👇
What market cap do YOU think FET can realistically reach this cycle?
