One thing is clear by now. AI is the most disruptive technology of our age. That’s because AI is more than a conversational and communication tool, it automates cognition itself. Meaning it is capable of mass producing and coordinating actions, not just generating ideas.
With the introduction of Open Claw, agents are taking over. Automating actions, filtering distractions and putting people’s lives and businesses on autopilot. Over 2-million OpenClaws have launched in under 30-days.
First millions. Then billions. The agents have arrived.This is historically new.
Data Privacy, a Fundamental Roadblock
Companies are now racing to integrate AI and AI Agents, and nowhere more so than the financial industries. Automated-intelligence trading systems have been live in major financial institutions for at least a decade. Goldman Sachs, JPMorgan, and BlackRock are some of the companies that have leveraged AI historically for,
Deep learning for market prediction
Reinforcement learning for trading strategies
Natural language processing for news sentiment
In blockchain, some early projects such as SingularityAI, Fetch.ai and others explored the intersection of AI and blockchain but it was the explosion of generative AI made tangible via ChatGPT in 2022 that formed an inflection point for public awareness.
Then more recently, in the past year we’ve seen the rise of AI trading agents available to retail audiences on exchanges like Bankr Bot on Base and DeFi platforms such as PriveX on COTI.
But as the landscape evolves and AI moves from executing instructions to making intelligent decisions, the ability of agents to process data securely without compromising sensitive information becomes critical. Without robust privacy-preserving computation, AI cannot operate effectively in trading, financial, governmental, or enterprise contexts.
AI and Blockchain: The Future in Beta
Let’s be very clear about the current trajectory. AI agents are evolving extremely fast and very quickly becoming capable of running the whole show for us. Not just thinking, but executing and learning as they go, becoming all roles within a business, and conferring amongst themselves. Get ready for agent to agent business where the human is no longer needed. As one recent viral post on X notes, we are just the ‘beta testers’.
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In this scenario, Agents need fast payment rails, they are not going to hook into bank API’s! For a start the settlement times are just not feasible. Agents can execute trillions of operations per second. They are not going to wait 2–5 days for an international settlement. Not to mention the KYC and AML requirements. Agents will naturally favour the fastest and most efficient route to getting business done.
However, as we watch the disruption of AI unfolding, or what Vitalik Buterin has referred to as an era of ‘chaos’, one thing is very clear, AI Agents need privacy. They need cryptographic infrastructure to handle confidential payments at scale and to protect their strategy and IP from others.
Vitalik comments that the future of AI on Ethereum is about how AI systems are designed, who controls them, what data they touch, and whether people can trust them. He has repeatedly argued that AI should work with decentralized systems in a way that protects users, preserves privacy, and avoids concentrating power in the hands of a few actors.
<a href="https://medium.com/media/e7f14cf314ab32329e5571a4a3960317/href">https://medium.com/media/e7f14cf314ab32329e5571a4a3960317/href</a>
As AI agents start moving on-chain, making decisions, interacting with protocols, and transacting with one another, privacy stops being a “nice to have” and becomes a hard requirement. That’s where confidential computation is essential, and it’s needed today.
As of today, just one platform offers AI Agents with Privacy: PriveX on COTI and that platform is generating a daily volume of upwards of $250 million. We’re early.
COTI Enabling the On-Chain AI Revolution
Garbled Circuits, a cryptographic protocol first theorized in the 1980s, offer a performance profile that can meet the demands of a future of autonomous agents. COTI is the first blockchain protocol to implement Garbled Circuits on-chain, enabling private computation at unprecedented speeds.
COTI is capable of delivering significantly faster execution for specific types of operations, up to 3000x faster in certain workloads and 250x lighter than alternative privacy solutions. This gives AI agents pro-performance privacy, enabling them to transact, trade and do business with one another without exposing sensitive data.
AI Agents can securely support real use cases like finance, governance, identity, and tokenized assets, while keeping information private by default. In other words, COTI provides the kind of cryptographic foundation Ethereum needs if on-chain AI is going to be useful in the real world, not just impressive in demos.
Privacy in AI Agents is essential for:
Privacy-preserving sensitive data: AI agents will manage sensitive financial data, personal credentials and company secrets and need to do so without exposing sensitive details.
Secure analytics for tokenized assets: run risk analysis and portfolio optimisation while meeting regulatory data requirements.
Decentralised compliance checks: validate conditions without sharing raw data.And many more use cases.
On COTI, computation can be executed collaboratively by multiple parties without revealing their inputs, making Garbled Circuits particularly well-suited for cross-agent privacy and real-time AI decision-making in decentralized environments.
For AI agents requiring high throughput and low latency, such as responding to market changes or processing real-time data feeds, Garbled Circuits offer a practical balance between privacy and performance that opens new possibilities for enterprise applications.
It cannot be emphasised how fast this space is growing.
Confidential AI Has Arrived
COTI’s ability to run on any device makes it particularly accessible for AI Agent deployment and as the race for on-chain AI intensifies, being a flexible, low-cost privacy solution will matter. But more important than everything else is being market-ready. While many privacy solutions are still stuck on the theory, COTI has launched, is being implemented by scores of partners, and is currently the only privacy protocol capable of driving the next generation of decentralized, confidential AI agent computation at scale.
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