Understanding Algorithmic Stablecoins — and Why They Fail

Understanding Algorithmic Stablecoins — and Why They Fail

Introduction

Stablecoins are digital assets designed to maintain a fixed value, typically pegged to the US dollar.
There are three main types:
• Fiat-backed (e.g., USDC, USDT)
• Crypto-backed (e.g., DAI)
• Algorithmic (e.g., UST, Basis)


What Are Algorithmic Stablecoins?

Unlike fiat- or crypto-backed stablecoins, algorithmic stablecoins maintain their peg through supply/demand mechanisms encoded in smart contracts.
They rely on game theory, incentives, and arbitrage—not collateral.


Case Study: Terra (UST) and LUNA


UST was an algorithmic stablecoin designed to stay at $1.
Its peg was maintained via a dual-token system with LUNA:
• To mint UST, users burned LUNA
• To redeem UST, users received LUNA
This was intended to stabilize UST via arbitrage.


If UST > $1 → users burned LUNA to mint UST (increase supply)
If UST < $1 → users burned UST to mint LUNA (reduce supply)
As long as LUNA retained value and market confidence held, the peg was stable.


The Collapse: May 2022


UST began losing its peg.
• Investors rushed to redeem UST
• Massive amounts of LUNA were minted
• LUNA’s supply hyperinflated
• Its price crashed
This triggered a “death spiral,” wiping out over $40B in value.


Why It Failed


The failure was structural:
• No real collateral to back UST
• Dependence on constant demand and confidence
• Incentives broke under stress
• LUNA’s value couldn’t absorb the shock


Terra wasn’t alone. Other algorithmic stablecoins that failed include:
Basis – shut down due to regulatory uncertainty
Iron Finance – suffered a similar death spiral (famously lost Mark Cuban money)
Empty Set Dollar – collapsed under low liquidity


Can Algorithmic Stablecoins Succeed?


It’s possible—but they must evolve.
Future designs may require:
• Partial collateralization
• More robust incentive models
• Better on-chain risk monitoring
• Smarter regulation and transparency


Final Thoughts


Algorithmic stablecoins are bold experiments in monetary policy.
But without proper safeguards, they can become unstable by design.
Terra’s collapse is a reminder: code is not collateral.Algorithmic stablecoins are a big idea in crypto. They aim to create a stable digital dollar—without needing real dollars or crypto locked up as backup. Instead, they use smart contracts and market rules to keep prices stable.

It sounds smart, but in the real world, it’s risky. Projects like Terra (UST) showed us that these systems can fall apart fast when confidence drops. Without anything real backing them, they can crash if too many people try to sell at once.

That doesn’t mean the idea is bad. It just means we’re still early. In the future, better designs might use a mix of code and some real value to stay stable during tough times.

Right now, algorithmic stablecoins are more of an experiment. But they teach us important lessons about risk, design, and what it takes to build strong systems in crypto.