Can Workers Own the AI Replacing Them? Action Model Tests a Radical Model of Automation Ownership
AI corporations are racing to automate every part, from writing code, producing pictures, scheduling adverts, summarizing conferences, and extra. But as these programs enhance, their impression on human labor turns into tougher to disregard. Some specialists now warn that generative AI may set off a wave of large job displacement that can hit sooner and deeper than most economies are ready for.
Rather than resisting the future, one crypto native platform is betting on a completely different strategy. If automation is inevitable, then possession needs to be as properly.
Action Model, as we speak, has launched an invite-only Chrome extension that enables customers to coach an AI system by sharing actual browser exercise like clicks, navigation paths, typing, and activity flows. The platform calls it a Large Action Model (LAM), succesful of studying the way to carry out digital work, not simply generate content material. In return, contributors obtain factors which will convert into $LAM governance tokens, supposed to characterize participation rights in how the system evolves.
“If AI goes to interchange digital labour then staff ought to personal the machines doing the changing,” says Action Model founder Sina Yamani.
Training the AI that Does the Work
Unlike chatbot fashions that generate content material, LAM’s are designed to function software program immediately. The concept is straightforward: if a human can do a digital activity with a mouse and keyboard, a educated AI agent ought to be capable of do it too.
“The previous few years have been chatbots. Now it’s automation,” says Yamani. “There are round one billion individuals employed to make use of a pc. If a firm is obtainable a instrument that performs the identical work repeatedly at a fraction of the price, they may use it.”
Action Model’s extension collects user-approved behavioral knowledge to coach the AI. Tasks like submitting payroll, managing CRM entries, or working primary operations could be recorded as soon as and repeated by the mannequin. Contributors might publish automations to a public market, the place utilization could be tracked and rewarded underneath the platform’s incentive mannequin.
The rise of agentic AI programs has been broadly documented throughout the trade, as fashions more and more transfer from content material technology to autonomous activity execution. These programs, as outlined in this explainer, acquire and act on actual consumer knowledge, studying the way to navigate digital environments autonomously.
The platform has already attracted over 40,000 customers via waitlists, referral programs, and companion communities. Access stays invite-only to keep up contributor high quality and reward early contributors.
How Is This Different From Existing Automation Tools?
Most present automation instruments depend on APIs or inflexible integrations. But a lot of real-world digital work occurs in legacy programs, inside dashboards, and instruments that have been by no means designed to be automated.
“Zapier automates software program. We automate work,” says Yamani. “Only about 2 % of the web is accessible through APIs. The different 98 % nonetheless requires human interplay.”
With Action Model, customers don’t want to write down code or handle integrations. They merely report how they full a activity. The AI learns from these actual consumer flows and turns into succesful of repeating them independently.
This makes Action Model versatile sufficient to seize edge instances and undocumented workflows that conventional programs can’t attain.
What About Privacy?
All coaching is opt-in, and customers are in management of what knowledge is shared. Sensitive websites like electronic mail, healthcare, or banking are blocked by default. Users can pause coaching, block particular domains, or delete contributions totally.
“The first precept is straightforward. We don’t want your knowledge. We simply want patterns,” Yamani says. “Training knowledge is processed domestically and anonymized earlier than it contributes to the mannequin.”
Deleted knowledge is completely eliminated and can’t be recovered, even by the firm. Contributions are aggregated with knowledge from different customers, utilizing k-anonymity to forestall particular person reidentification. A dashboard permits contributors to view and handle their coaching historical past and rewards at any time.
“While Big Tech collects this sort of knowledge with out actual consent, we’re clear, user-controlled, and rewarding the individuals who truly prepare the AI,” says Yamani.
So Can Bots Game the System?
To keep away from the issues which have plagued earlier crypto reward programs, Action Model makes use of behavioral evaluation to confirm actual consumer enter. The system appears for construction, timing, variation, and decision-making alerts — issues that bots or click on farms can’t simply faux.
“Mindless clicking is nearly ineffective,” says Yamani. “Real workflows embrace intent, pauses, corrections, retries, and selections. You can’t faux that at scale.”
Other initiatives that rewarded social engagement or posts have been recently banned from main platforms after producing giant volumes of AI spam, reply bots, and pretend interactions. In response, API entry was pulled and token ecosystems collapsed underneath the weight of low-quality exercise.
ActionFi, the platform’s reward engine, is designed to keep away from that lure totally. It doesn’t pay for tweets or clicks. It rewards verified workflows that replicate actual, structured digital labor.
“We don’t pay for noise. We pay for helpful paths,” Yamani provides.
Who Actually Owns the System?
Today, Action Model controls the extension, coaching logic, and reward programs. But the mission has dedicated to transitioning possession to $LAM token holders over time. A DAO construction will finally enable contributors to control platform selections, incentive mechanisms, and mannequin deployment.
“Early programs want coordination. What issues is whether or not they’re centralized by design,” Yamani says.
If carried out as described, possession would give token holders affect over infrastructure selections tied to the knowledge they helped generate.
If AI Is Inevitable, Can Ownership be Too?
The subsequent technology of AI is being constructed not simply on language, however on labor. From workplace work to operations, many duties that occur behind a display screen are actually inside attain of clever brokers.
“You’ve heard that thousands and thousands of screen-based jobs might be automated. That isn’t a long time away — it’s occurring now,” Yamani says. “If your knowledge helps prepare AI, you must personal what will get constructed.”
Whether Action Model can scale, keep clear, and construct a sustainable economic system stays one thing we are going to keep watch over carefully in months to come back. But its guess may be very clear. The defining battle of AI is not only about what it may do, it’s about who it really works for.
As AI reshapes the world of work, will the future be owned by platforms, or by the individuals?
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