Artificial Superintelligence Alliance (FET) price prediction: how far it could move

What moves Fetch.ai's price

Fetch.ai behaves like a high-beta digital-asset network rather than a cash-flow asset. Its strongest fundamental demand comes from genuine use of the network: increased activity involving autonomous agents can support demand for network resources and related fees, while stronger developer adoption and ecosystem usefulness can attract users. Staking participation can affect circulating supply and attention, although it also depends on rewards, security and participation. Liquidity and exchange access affect how readily traders can trade FET, while listings can broaden access and visibility. Attention cycles surrounding network upgrades, ecosystem activity and broader narratives can amplify volatility. Altcoins often move broadly in step with Bitcoin and market sentiment, but that relationship is not fixed; FET-specific developments can create substantial divergence. Its 96% annualised volatility and deepest one-year drawdown of -62.8% reflect the scope for sharp moves.

Supply and FET

Fetch.ai has a circulating supply of 2,604,959,127 FET, a total supply of 2,714,493,897 FET and a maximum supply of 2,719,493,897 FET. The issued share of the maximum supply is 95.8% as of November 2026. This indicates that issuance is close to its cap but is not complete. Because the circulating supply remains below the total and maximum supplies, additional FET is still entering circulation. That continuing issuance can expand the liquid supply over time and create dilution or unlock-related pressure, depending on how releases are absorbed. Conversely, strong demand combined with restrained net supply expansion can make scarcity more relevant. The difference between circulating and maximum supply therefore matters when interpreting statistical ranges: token availability is largely established, but not fully saturated.

What would change the outlook

Technology is a central swing factor. Security failures, outages, weak upgrades or limited scalability could impair confidence in network utility, while successful upgrades, greater developer participation and stronger agent adoption could improve the asset’s fundamental appeal. Regulatory developments affecting digital assets, artificial intelligence, data usage or autonomous systems could also alter participation and market access in either direction. Competition from other decentralized artificial-intelligence and agent platforms could affect developer interest, usage and fee demand. Liquidity shocks, abrupt changes in leverage, large wallet movements and wider market risk-off episodes can add pressure regardless of network fundamentals. Bitcoin and broad digital-asset sentiment often shape these conditions, but FET can still respond differently to its own catalysts. These events would change the evidence surrounding the statistical ranges without establishing a target or determining a future price direction.

How these ranges are calculated

We take Artificial Superintelligence Alliance's daily closing prices for the past year, compute the day-to-day change in log terms, and measure their standard deviation — the coin's realised volatility. Price changes in crypto compound, so the range for a horizon of T days is today's price multiplied and divided by e raised to z × σ × √T, where z is 1 for the 68% range and 1.645 for the 90% range. No trend is assumed: the middle of every range is today's price.

That makes the ranges honest about uncertainty and silent about direction, which is the point. They will be wrong when volatility changes — after a halving, an ETF decision, an exchange failure or a regulatory ruling — and they say nothing about whether Artificial Superintelligence Alliance is a good investment. Multi-year "targets" for 2030 published elsewhere are opinions; the arithmetic above stretched to five years produces a range so wide it means nothing, which is why we stop at the end of next year.

About Artificial Superintelligence Alliance

What Fetch.ai is

Fetch.ai is a decentralized artificial intelligence network built around autonomous software agents. These agents are designed to find useful tasks, communicate with other agents, and request resources such as computing power or data. The network aims to make AI services more open and accessible by allowing agents and users to coordinate economic activity without relying on a single central marketplace.

The broader Fetch.ai ecosystem includes tools for creating, connecting and deploying AI agents. Its design treats AI agents as active participants in an internet economy rather than simply as applications waiting for instructions. In plain English, the project is trying to provide shared infrastructure for agents that need to discover services, exchange value and complete tasks on behalf of people or businesses.

What FET is used for

FET is the utility token of the Fetch.ai network. It is used to pay transaction fees and for payments associated with services and resource requests made through the ecosystem. This can include payments for computing, data or agent services, allowing agents to settle exchanges in the network’s native token instead of requiring every interaction to use a separate payment system.

FET can also be staked by ordinary token holders who want to support network participation. Staking gives holders a way to participate in the network’s security and incentive system while their tokens are committed. Staking involves risks, including possible loss, technical failures and changes to network participation requirements. The token should therefore be understood as both a payment instrument and a mechanism for participating in the network, rather than simply as a claim to a company.

Supply

As of November 2026, Fetch.ai has a circulating supply of 2,604,959,127 FET, a total supply of 2,714,493,897 FET and a maximum supply of 2,719,493,897 FET. The issued amount represents 95.8% of the maximum supply.

Unlike an uncapped token, FET has a defined ceiling that limits how many tokens can be issued under the network’s supply rules. The difference between circulating and total supply means that some tokens are not currently circulating, while the gap between total and maximum supply represents the remaining issuance allowance. A cap can make scarcity easier to assess, but it does not remove the possibility of future unlocks or changes in how the network is used.

How Fetch.ai has traded

FET first traded in March 2019 at a price of $0.4061. Its all-time high was $3.46, recorded on 28 March 2024. The history shows substantial appreciation from its first recorded trading level, but the market has also experienced significant weakness during parts of its cycle.

Annualised volatility is 96%, indicating that FET’s price can move sharply over time. The deepest drawdown in the past year was -62.8%, which describes the largest recorded fall from a peak during that period. These figures show how wide FET’s trading range can be and why a purchase made at one point in the market may experience a very different result later. They describe past trading rather than indicating where FET may trade next.

Risks to understand

• Technical risk: AI agents, smart contracts, infrastructure and communication protocols can fail, contain defects or be exposed to attacks. Improvements in the underlying technology may not work as intended.
• Economic risk: FET depends on useful activity and adoption across the agent ecosystem. If agents do not create meaningful demand for services, payments or staking, the token’s utility may remain limited.
• Market risk: The stated volatility and deep drawdown show that FET can experience major price swings. Staking and longer holding periods do not protect against those movements.
• Regulatory and operational risk: Rules covering AI, digital services, data use and tokens may change. Network development, upgrades and treasury decisions can also affect how the project operates.
• Supply and concentration risk: Future issuance, unlocks and the distribution of tokens among large holders can influence market conditions, even when the maximum supply is capped.