Artificial Intelligence (AI) has been shown to have the potential to transform several industries. Despite this potential, as the demand for AI grows, so do challenges with orchestration, data security, payment, and memory. Addressing these challenges is critical for this growth. However, there is a lack of technology to make this happen.
Despite rapid advancements in artificial intelligence, the growth of AI systems is marred by several challenges that create bottlenecks in performance, trust, and payments.
One major challenge is the lack of secure, user-centric AI agents. In most AI infrastructures, shared agents process user data, which makes privacy a growing concern. This discourages trust, which affects growth and adoption, especially in sectors where sensitive data is non-negotiable.
Another challenge is the fragmentation in AI workflows. Developers often need to combine different AI agents and services for a particular task, which takes time and makes orchestration unreliable.
Moreover, incentives remain unclear for developers or creators of AI agents. Given the limited economic incentive for those building these AI systems, there is limited encouragement for innovation and long-term investments in reliable systems.
Lastly, the development and creation of agents have been reserved for developers with technical know-how, which also poses a challenge to AI growth.
Skynet addresses the different challenges poised to the growth of AI in various ways. First, in its decentralized ecosystem of AI agents, each agent is secured, and a private instance is created per user for every one deployed. This way, Skynet tackles the privacy concerns of having a shared system. It does this through Trusted Execution Environments (TEEs), which ensure that sensitive data is protected, even from the developers of the agents.
Skynet handles orchestration when dealing with the fragmentation of workflow or AI agents. Here, users who need agents for a particular task but without the slightest clue which to use to carry it out needn't worry, as Skynet maps the right agent to the right task.
Skynet redefines developer benefits on the incentive front by having agent-based monetization through NFTs. AI agent creators or developers can mint their agents as unique assets, earn royalties when those agents are cloned while retaining intellectual property ownership. This model helps to provide the right motivation for investment into the long term growth of AI.
Also, to address usability and scalability issues due to technical know-how, Skynet has launched a low-code agent studio that enables anyone, from engineers to curious creators, to build, customize, and deploy agents using natural language prompts.
Considering AI's direction of becoming increasingly integral to technological progress, the infrastructure supporting it must meet new demand or solve challenges hindering growth. Skynet meets these new demands needed for growth to pave the way for a new generation of AI applications.
By providing solutions to these challenges, Skynet accelerates the growth of AI, helping make it an essential part of the future of technology.