Decentralized finance infrastructure is seeing renewed momentum as autonomous AI driven systems begin to manage meaningful amounts of onchain capital. Giza, an Ethereum based project focused on verifiable AI agents, has reported rapid growth in assets managed by its autonomous systems, with total value now exceeding $40 million after expanding more than 60 percent over the past month. The increase highlights growing interest in algorithmic and AI assisted asset management models that operate directly within decentralized environments. These systems are designed to analyze markets, optimize portfolios, and execute strategies without direct human control, reflecting a shift toward programmable financial operations. Market participants increasingly view such tools as part of the next phase of DeFi infrastructure, where automation and transparency are prioritized to improve efficiency and reduce operational risk across onchain financial activity.
Giza’s approach centers on building AI agents that can operate independently while remaining verifiable and auditable on public blockchains. The project emphasizes the use of cryptographic techniques such as zero knowledge proofs to ensure that agent behavior can be validated without exposing sensitive strategy details. This structure is intended to address long standing concerns around trust, opacity, and control in automated trading and asset optimization systems. By embedding verification at the protocol level, the model seeks to align autonomous decision making with the transparency standards expected in decentralized finance. As AI tools become more integrated into financial workflows, the ability to demonstrate how decisions are made and executed is becoming increasingly important for users allocating capital to algorithmic systems.
The recent growth in assets under management suggests that capital is beginning to move beyond experimentation and into early adoption of AI native financial infrastructure. While the scale remains modest relative to broader DeFi markets, the pace of expansion signals rising confidence in automated agents as complementary components of onchain portfolio management. This trend aligns with a broader push toward infrastructure that can operate continuously, adapt to market conditions, and reduce reliance on manual intervention. As decentralized finance matures, AI driven systems that combine autonomy with cryptographic verification may play a larger role in shaping how liquidity is deployed and managed across protocols.
