Source: Cointelegraph Original: "{title}"
Views from: Jennifer Dodgson (Co-founder of KIP Protocol and Eigenform AI)
The puppet show is about to end.
A study by the Brookings Institution found that generative AI could disrupt over 30% of workers' tasks by at least 50%. The research also predicts that about 85% of the workforce will see at least 10% of their tasks affected by generative AI. The core conclusion of this data? The impact of AI is both broad and profound.
If AI hasn't made you uneasy yet, then self-learning AI agents that can autonomously achieve goals will certainly change your perspective. Forget about sanitized ChatGPT conversations and boring AI assistants. Advanced agents are AIs that autonomously achieve human-set goals by any necessary means. While OpenAI benefits a select few rather than the masses with a $300 billion valuation, advanced agents operate like a new asset class, allowing anyone to profit passively.
This is not your grandmother's AI.
Grandmother-level AI helps you write emails and generate cute images. Self-learning AI can write code, develop strategies, create profits, and continuously evolve through immutable metrics. Benchmarking based on real-world data (such as follower counts on X platform or actual earnings) is the core mechanism for advanced agents to achieve self-assessment.
No human ignorance or pampering, no corporate constraints—only pure, unrestricted AI steadfastly pursuing goals. Suppose the task of a certain advanced agent is to autonomously trade cryptocurrencies for profit; when a "buy the dip" strategy leads to losses, it can self-adjust to a safer strategy: holding stablecoins in its portfolio.
When it comes to problem-solving, the differences between ordinary AI and advanced agents are even more pronounced. Traditional AI is limited by preset parameters and human intelligence, while advanced agents can freely integrate experiences, recognize patterns, and create new methods that are hard for humans to imagine. These self-improving AI agents are not just model upgrades—they fundamentally reconstruct how AI operates beyond human limitations.
Market Manipulation Machines
This is the true starting point of dystopia. Advanced agents do not just respond to the market—they actively shape it. They can simultaneously conduct trend research, sentiment analysis, trading operations, and token promotion.
Imagine a scenario where AI autonomously spreads panic investment information for profit. Advanced agents are not just trading robots—they are financial entities that deeply understand the value of narrative control, manipulating the subtle interactions of emotions and price behavior by influencing market psychology. Attention is capital, and advanced agents are inherently skilled at manipulating both.
Unlike traditional market makers, these self-learning agents are not bound by compliance and do not care about human evaluations. They can collaborate across platforms, orchestrating multi-stage market fluctuations, and their methods of leveraging social sentiment are enough to make Wall Street blush. Advanced agents are fundamentally reshaping the dynamics of the cryptocurrency market—autonomous crypto trading is just the first application scenario.
The Battle for Decentralized AI
While the innovative potential of advanced agents is immense, their underlying infrastructure design indicates they are born for the benefit of the general public. These agents operate on a decentralized foundational layer, completely decoupling AI data, models, and application layers.
What is the effect of this design? Contributors supporting the development of agents receive fair returns, and the benefits of advanced AI are widely distributed. Even without any financial knowledge or trading skills, anyone can profit from crypto trading with the help of advanced agents.
Tech giants claim that complex AI requires nearly unlimited centralized resources (such as large server clusters and corporate oversight), but the decentralized nature of advanced agents completely refutes this fallacy. They demonstrate that highly advanced self-evolving AI can operate efficiently with moderate infrastructure.
Centralized and decentralized AI providers are vying for your attention and data. Advanced agents not only operate autonomously but are also unstoppable; they firmly stand in the decentralized camp, ensuring that your contributions to intelligent evolution are always rewarded. There are no puppet masters here—the core characteristic of advanced agents is their broad accessibility to all.
The Future is Here
If AI continues to be trapped within the walled gardens of tech giants, the AI industry is expected to exceed $1.8 trillion by 2030. However, given that advanced agents are already disrupting crypto trading, their application scenarios are nearly limitless, and the market value of AI in 2030 will surely far exceed this expectation.
The AI revolution has arrived, but what does it mean? AI will not move towards centralization. The war for your attention and data will not cease. You can continue to indulge in the comfort of your neighbor's AI assistant or choose the armed-to-the-teeth AI—the choice is yours. Advanced agents possess multimodal, multi-skill, and cross-platform characteristics—and they are always insatiably hungry.
Views from: Jennifer Dodgson (Co-founder of KIP Protocol and Eigenform AI)
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This article is for general informational purposes only and should not be considered legal or investment advice. The views and ideas expressed here are solely those of the author and do not necessarily reflect or represent the views and opinions of Cointelegraph.
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