The world’s artificial intelligence (AI) market is projected to soar to an astounding USD 757.58 billion by 2025 and could potentially escalate even further to around USD 3,680.47 billion by 2034. This sector has been gathering unparalleled momentum. However, the AI systems we currently witness, like OpenAI, largely depend on data scraped from the Internet for their training. While this is a significant beginning, it merely touches upon the immense wisdom humanity possesses—data that’s individually and collectively owned by people, organizations, governments, and businesses.
In an exclusive interview with CryptoDaily UK, Shashank Sripada, Co-Founder and COO of GaiaI, said,
It’s important that we act quickly, as artificial intelligence currently operates in a centralized manner, controlled primarily by large corporations. This centralization means high costs, and it lacks the decentralization we desire. As a result, there lies a significant chance to develop an open-source, distributed system for teaching machines and sharing knowledge.
Shaping the Future of AI Agents with Gaia
During the conversation about today’s AI environment and his experiences, Shashank Sripada clarified that Gaia is tackling decentralized AI in a meaningful way by making it both cost-effective and efficient for individuals to deploy their own AI systems (agents). To put it simply, an “agent” refers to a system encompassing a large language model, the essential hardware setup, and all the computations needed to carry out tasks or make decisions on behalf of users. These AI agents can be customized to perform various functions, such as personal assistants (like Siri or Alexa), or more intricate tasks, such as helping companies handle customer interactions, manage data, or automate processes.
If we are similar to Stripe but for agents, we offer the necessary tools and structure to allow developers to effortlessly create their own AI systems. They won’t have to deal with the hassles involved in establishing and optimizing the underlying infrastructure.
Gaia aspires to facilitate simple and budget-friendly deployment of these agents, thereby encouraging broad acceptance – an aspect that is notably absent in the realm of centralized AI giants. Essentially, Gaia seeks to democratize knowledge, making it readily available while offering a platform where people can verify and monetize their data in a secure blockchain environment.
Sripada highlighted the potential of their infrastructure as he stressed that it’s primarily developers who will adopt it most. Gaia addresses a significant challenge for developers: the laborious task of configuring and optimizing an agent. Notably, there’s growing interest from prominent corporations such as NASA, Qualcomm, TikTok, and top Web 2.0 companies. Gaia has teamed up with MoonPay, and they are soon debuting a marketplace for agents, expanding the possibilities for users to engage with decentralized agents.
AI agents will surpass the human population
Sripada is convinced that AI agents will outnumber human beings in the coming years. He elaborated that we’re on the brink of a significant transformation and should expect increasing popularity for applications powered by these intelligent agents.
In the context of debating AI’s impressive abilities and the importance of centralized control for safety purposes, Sripad posits that Web3 has effectively provided the essential instruments to tackle these issues, emphasizing that it essentially boils down to community management.
On platforms such as Wikipedia, despite its decentralized structure, it manages to uphold a high standard of quality and ward off abuse. The reason for this is that it has an actively involved, motivated community who oversee the platform.
Gaia is taking a forward-thinking approach to security by incorporating a mechanism that prevents easy system manipulation by malicious actors within its model. The team welcomes collaboration with institutions to maintain the network’s positive impact. Moreover, Gaia’s decentralized structure ensures it isn’t governed by any single entity, adding an extra layer of protection through community-driven oversight.
Regarding the future of AI agents, Sripada envisions,
Much like how people today can easily build their own websites, it won’t be long before it becomes simple for everyone to develop and launch their own agents.
The AI revolution isn’t solely about big corporations dominating; instead, it’s about giving individuals more power. Today, it’s easier than ever before for people to start their own AI-based businesses. For instance, an individual could educate an AI agent to study finance textbooks, learn finance through online courses, follow financial experts such as Warren Buffett, and even monitor stock market trends.
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2025-03-12 21:22