What happens when AI stops talking and starts working, and who really owns the value it creates?
In this episode of Tech Talks Daily, I’m joined by Sina Yamani, founder and CEO of Action Model, for a conversation that directly addresses one of the biggest questions about the future of artificial intelligence.
As AI systems learn to see screens, click buttons and perform tasks as humans do, power and wealth are rapidly concentrating. Sina argues that this shift is happening much faster than most people realize, and that the current ownership model offers little voice and even fewer benefits to ordinary users.
Sina shares the thinking behind Action Model, a community-run approach to autonomous AI that challenges the idea that automation should be in the hands of a few giant companies. We unpack the concept of Large action models, AI systems trained to perform real online workflows instead of generating text, and why this next phase of AI requires a very different kind of training data.
Instead of cutting the Internet to the background, Action Model invites users to actively contribute and rewards them for helping train systems that can navigate software, dashboards, and tools just as a human worker would.
We also examine ActionFi, the platform’s outcome-based reward layer, and why Sina believes attention-based incentives have quietly eroded trust in Web3. Instead of paying for likes or impressions, ActionFi focuses on verifying real actions on the open internet, even when no APIs or integrations exist. This raises obvious questions about security and privacy.
This conversation doesn’t shy away from the uncomfortable parts. We talk openly about job losses, the economic realities companies face, and why automation is unlikely to slow down. Sina argues that resistance to change is futile, but it remains possible to shape who benefits from it. He also reflects on the lessons learned from his previous departure from the fintech sector and how movements grow when people feel like they are standing up to an unfair system.
As the episode ends, we look ahead to a future where much of today’s computer-based work disappears and wonder what success and failure might look like for a community-owned AI model that works at scale.
If AI is going to run more of the internet on our behalf, should the people who train it have a stake in what it becomes, and would you trust an AI ecosystem owned by its users rather than a handful of billionaires?
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