- ChainLink’s Oracle Technology allows financial advisors to access reliable live updates on key economic indicators and eliminate reliance on a single data vendor.
- Moloney envisions a future in which blockchain and AI agents work together to build digital trusts through verifiable systems.
Laurence Moroney, former AI lead at Google and Current Chainlink Advisor, believes that blockchain-powered Oracle Networks can ensure that AI agents are secure and can work on a wider scale in wealth management. AI agents, a system capable of running semi-autonomous workflows, are currently on the rise in artificial intelligence.
How ChainLink converts AI domains
However, these systems need to ensure that they have been verified to work well in critical areas. According to Moloney, the development of the blockchain industry relies heavily on Chainlink’s Oracle technology.
When Moloney wrote to AI agents in financial advice, he made it clear that market data should be recent and verifiable. “Chainlink Oracles can ensure real-time feeds from multiple independent sources and remove dependencies on a single data vendor,” he writes: Guest post.
Michael, for example, goes to his financial advisor Sarah and feels secure that his retirement strategy is still underway. In the past, these relationships were based on trust, with promises being created loudly and performance records collected. However, this approach leads to problematic quality and waste of resources. So Moloney’s proposal is to use blockchain and AI throughout the process.
Through Oracles, Sarah recommendations can be built with reliable live updates on interest rates, economic markers, or industry indexes. Michael was able to confirm that these inputs were used without having to trust the company’s internal reports.
These oracles are just part of a comprehensive blockchain-based toolset. According to Moloney, a smart contract with verifiable credentials allows Michael to have Sarah review Sarah’s qualifications and proofs. Sarah, meanwhile, was able to use the proof of zero knowledge to ensure that she followed Michael’s intended strategy and kept the company’s secrets safe.
At the same time, AI processes the user’s information. It handles the process of checking reliability, helps you read client information carefully and create evidence. Most importantly, you can monitor ChainLink data to automatically trigger smart contracts, update users, and change portfolio.
“Trust has historically been built through face-to-face interaction and reputation,” Moloney noted. He added further
What if there is a verifiable system instead? Is there a place where the algorithms prove they’re in your favour without revealing any trade secrets?
Moloney discusses factors that lead to automation and confidentiality
Another advantage of smart contracts is that they automate several tasks for you. If Michael agrees, the action will start immediately, the cost can be assessed immediately, and the system monitors the parameters. This will make the problem smooth and clear for him.
Therefore, Moloney pointed out that effective IT frameworks are not just for the benefit of clients. Advisors can emphasize performance without losing client confidentiality. “Advisors can distinguish themselves through proving results,” he added.
Ultimately, ChainLink’s infrastructure is at the heart of our products. To make the AI agent decide correctly, you need trustworthy and protected external data. In the future, Oracle is expected to serve as the leading builder of digital trusts and provide data.
