The Case for User-Owned AI

Opinion, Opinion You self-custody your bitcoin. Why not management your AI agent too? David Minarsch says we shouldn’t be trusting vital duties to rental brokers. 

Who really controls your AI assistant? That’s a query most individuals haven’t requested but. Today, tens of millions depend on digital assistants, from voice-controlled units to good bots embedded in instruments like Google Workspace or ChatGPT. These programs assist us write, set up, search, and even suppose. However, the overwhelming majority of them are rented. We don’t personal the intelligence we rely on. That means another person will get to manage it.

If your digital assistant disappears tomorrow, are you able to do something about it? What if the corporate behind it adjustments the phrases, restricts performance, or monetizes your knowledge in methods you didn’t anticipate? These aren’t theoretical considerations. They’re already occurring, and so they level to a future we must always actively form.

David Minarsch is a speaker at Consensus 2025 in Toronto May 14-16.

As these brokers turn out to be embedded in every little thing from our funds to our workflows and houses, the stakes round possession turn out to be a lot increased. Renting might be positive for low-stakes duties, like a language mannequin that helps you write emails. However, when your AI acts for you, makes selections along with your cash, or manages important elements of your life, possession isn’t elective. It’s important.

What Today’s AI Business Model Implies for Users

AI as we all know it’s constructed on a rental economic system. You pay for entry, month-to-month subscriptions, or pay-per-use APIs, and in alternate, you get the “illusion” of management. However, behind the scenes, platform suppliers maintain all the ability. They select what AI mannequin to serve, what your AI can do, the way it responds, and whether or not you get to maintain utilizing it.

Let’s take a typical instance: a enterprise group utilizing an AI-powered assistant to automate duties or generate insights. That assistant may reside inside a centralized SaaS device. It may be powered by a closed mannequin hosted on another person’s server — and operating on their GPUs. It may even be educated in your firm’s personal knowledge — knowledge you now not absolutely personal as soon as uploaded.

Now, think about that the supplier begins prioritizing monetization, like Google Search does with its advertising-driven outcomes. Just as search outcomes are closely influenced by paid placements and industrial pursuits, the identical will possible occur with giant language fashions (LLMs). The assistant you relied on adjustments, skewing responses to profit the supplier’s enterprise mannequin, and there is nothing you are able to do. You by no means had true management to start with.

This isn’t only a enterprise threat; it’s a private one, too. In Italy, ChatGPT was briefly banned in 2023 because of privateness considerations. That left 1000’s with out entry in a single day. In a world the place persons are constructing more and more private workflows round AI, this weak point is unacceptable.

On the difficulty of privateness, while you hire an AI, you typically add delicate knowledge, typically unknowingly. That knowledge may be logged, used for retraining, and even monetized. Centralized AI is opaque by design, and with geopolitical tensions rising and rules shifting quick, relying completely on another person’s infrastructure is a rising legal responsibility.

What It Means to Truly Own Your Agent

Unlike passive AI fashions, brokers are dynamic programs that may take impartial actions. Ownership means controlling an agent’s core logic, decision-making parameters, and knowledge processing. Imagine an agent that may autonomously handle assets, monitor bills, set budgets, and make monetary selections in your behalf.

This naturally leads us to discover superior infrastructures like Web3 and neobanking programs, which provide programmable methods to handle digital belongings. An owned agent can function independently inside clear, user-defined boundaries, remodeling AI from a responsive device to a proactive, customized system that actually works for you.

With true possession, you already know precisely what mannequin you’re utilizing and may change the underlying mannequin if wanted. You can improve or customise your agent with out ready on a supplier. You can pause it, duplicate it, or switch it to a different system. And, most significantly, you should utilize it with out leaking knowledge or counting on a single centralized gatekeeper.

At Olas, we’ve been constructing towards this future with Pearl, an AI agent app retailer realised as a desktop app that enables customers to run autonomous AI brokers with only one click on whereas retaining full possession. Today, Pearl accommodates numerous use circumstances concentrating on primarily Web3 customers to summary the complexity of crypto interactions, with an growing concentrate on Web2 use circumstances. Agents in Pearls maintain their very own wallets, function utilizing open-source AI fashions, and act independently on the consumer’s behalf.

When you launch Pearl, it’s like getting into an app retailer for brokers. You can choose one to handle your DeFi portfolio. You can run one other that handles analysis or content material era. These brokers don’t want fixed prompting; they’re autonomous and yours. Go from paying for the agent you hire to incomes from the agent you personal.

We designed Pearl for crypto-native customers who already perceive the significance of proudly owning their keys. However, the concept of taking self-custody of not simply your funds but additionally your AI scales far past DeFi. Imagine an agent that controls your house automation, enhances your social interactions, or coordinates a number of instruments at work. If these brokers are rented, you don’t absolutely management them. If you don’t absolutely management them, you’re more and more outsourcing core elements of your life.

This motion is not only about instruments; it’s about company. If we fail to shift towards open, user-owned AI, we threat re-centralizing energy within the palms of some dominant gamers. But if we succeed, we unlock a brand new form of freedom, the place intelligence will not be rented however really yours, with every human complemented by an “army” of software program brokers.

It’s not simply idealism. It’s good safety. Open-source AI is auditable and peer-reviewed. Closed fashions are black packing containers. If a humanoid robotic resides in your house at some point, would you like the code operating it to be proprietary and managed by a international cloud supplier? Or would you like to have the ability to know precisely what it’s doing?

We have a selection: We can preserve renting, trusting, and hoping nothing breaks, or we are able to take possession of our instruments, knowledge, selections, and futures.

User-owned AI isn’t simply the higher choice. It’s the one one which respects the intelligence of the particular person utilizing it.

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