Tldr
- Artificial intelligence agents request a speed of Blockchain – surface financing cannot keep up with it.
- Evidence of power bars in real financial organization Amnesty International where banks are shortened.
- Blockchain gives artificial intelligence factors confidence, speed and global scale.
- Artificial intelligence agents flourish on the settlement and layer of truth in Crypto.
- Old funding breaks the machine quickly – Plockchain Fies is the future of artificial intelligence.
Artificial intelligence agents appear as decisive tools in the financial markets, but their effectiveness depends on the infrastructure that supports speed and reliability. John Dagustino, head of Coinbase Strategy, believes that traditional financing systems are not suitable for the scale and speed that artificial intelligence agents work. And it confirms that the Blockchain infrastructure and encryption provides the basis required to support the increasing role of these agents.
Artificial intelligence agents request a developed infrastructure
Artificial intelligence agents work by carrying out thousands of procedures, often without stopping to verify the information. These systems require data in actual time and the movement of non -welded money, but traditional financing depends on the outdated infrastructure. D’Agostino claims that these old bars have never been built for machine speed transactions.
It is reported that the expectation of artificial intelligence agents on old systems will hinder their capabilities and increase the risks. Blockchain Provides an immediate, transparent settlement and global access. Therefore, encryption becomes necessary when artificial intelligence agents participate in actual time.
Developers already use artificial intelligence agents to create Web3 applications and spread symbols without human help. These systems interact independently with services and protocols, which exposes how Blockchain allows developmental development intelligence. As a result, the shift is taking place towards artificial intelligence transactions that support encryption.
Blockchain provides the needs of the agents of confidence in artificial intelligence
D’Agostino confirms that Artificial intelligence agents You need reliable data sources, because bad information can quickly expand errors. Since these agents do not check or slow down, incorrect inputs can create major financial disorders. Blockchain technology provides fixed and transparent records that help reduce this risk.
By taking advantage of Blockchain, artificial intelligence scientists can access data verified and tamper with better decisions. This becomes vital because it deals with tasks that involve millions of dollars at high speed. Confidence in data sources becomes an inconceivable condition for independent systems.
It sees Blockchain as “a source of development without borders”, corresponding to the need of artificial intelligence into fixed, fast and reliable inputs. Upon pairing, artificial intelligence factors can work safely and efficiently while maintaining high accountability. This integration ensures stable growth in the financial technology and automation sectors.
Bitcoin and institutional adoption take distinctive paths
Although it is often compared to gold, Bitcoin provides digital advantages such as mobility, programming, and generating return. D’Agostino notes that these features make them Bitcoin More convenient for the digital economy than material assets. Its ability to move across the borders immediately enhances the machine -dependent financial world.
He explains that with low interest rates, capital in the financial markets may turn towards alternative assets, such as bitcoin. Although all the money will not flow to encryption, a part that may feed on expanding the gradual market. However, institutions will enter with caution over time.
It runs large funds such as pensions and outdoor capital, so they prefer the steps measured over fast moves. According to D’Agostino, they start with small allocations, performance evaluation, and slowly expand. This conservative approach leads to a stable adoption without creating sabotage fluctuations.
