As AI Automates White-Collar Work, Sina Yamani Is Betting on a Different Ownership Model

The conversation about artificial intelligence and the future of work has been stuck in a loop. For the past two years, the focus has been on generation. AI creates text, images, and code. It assists, it augments, it makes existing workflows faster. But this is a limited view of a much larger structural shift. A meaningful shift could occur if AI begins moving beyond content generation and into task execution.

That shift may already be underway. The next wave of AI may focus more on action, with systems beginning to interact directly with software, navigate dashboards, complete multi-step processes, and move data between systems. Recent performance curves over the past two years suggest a possible direction for where this trend may be heading. As these systems improve, the economic implications may become easier to recognize.If a digital workflow can be automated reliably and at a lower cost, it may become an attractive option for many organizations. The question may increasingly focus on who owns the resulting value.

When a job is automated, the economic value attached to it doesn’t disappear. It migrates. The salaries that once supported millions of digital workers will flow toward the companies that own the automation infrastructure. Right now, that infrastructure is being built and consolidated by a small number of trillion-dollar technology companies. This is the default trajectory. It highlights a potential shift in how economic value may be distributed. But one founder is betting that the default isn’t the only option.

Defiance by design

Sina Yamani, founder of Action Model, is positioning his company in direct opposition to this trend. His stance is one of controlled defiance. “Automation isn’t the threat here, centralised ownership of automation is,” Yamani says. He argues that the conversation has been misframed. The focus shouldn’t be on protesting the technology, which he sees as inevitable, but on challenging the assumption that its ownership must be concentrated.

Where most startup narratives are built around disruption, Yamani’s is built around ownership. He’s asking a more structural question than most founders are willing to ask. “Ownership models are design choices,” he insists. “If you don’t question concentration at the moment infrastructure forms, you lose the chance to question it later. AI infrastructure is forming now.” That urgency shapes everything about how Action Model is built. Rather than chasing the incumbents on their own terms, Yamani is focused on a different kind of leverage entirely.

Coordination as a competitive advantage

Action Model is building systems that can perform complex computer-based tasks, the very digital labour that’s becoming replaceable. But instead of a traditional customer model, it’s built on a principle of user ownership. In certain structures, early users may hold a fractional stake in the infrastructure itself, meaning they could participate not only as service users but also as stakeholders in the broader network

“This isn’t a one-founder story, it’s a coordination story,” Yamani explains. “Individually, no startup competes with trillion-dollar balance sheets. But this AI wave doesn’t just belong to corporations. It affects millions of people. If those millions are aligned around ownership rather than just usage, that changes the dynamic.” In its first three weeks in a private invite-only mode, Action Model reported significant early user interest. Yamani sees this not as a vanity metric, but as a signal of intent. It may suggest a broader desire for participation in this transition, rather than simply observing it from the sidelines.

This approach introduces a different perspective on the competitive landscape. Viewed this way, the contest may be less about capital versus capital and more about centralized ownership versus coordinated ownership. Yamani is direct about the strategy. “We’re not trying to outspend incumbents,” he says. “We’re trying to out-align them. Capital scales. But aligned networks scale differently. And in moments of structural shift, coordination can rival balance sheets.”

The founder’s dilemma

For entrepreneurs, the rise of capable AI systems presents a clear incentive. Adopting tools that cut costs, increase leverage, and improve output is a rational business decision. As Yamani notes, founders who ignore this new arithmetic may not be replaced by AI itself, but they could be overtaken by founders who act sooner. The cumulative effect of these individual decisions may accelerate broader shifts in the labour market.

The challenge for founders is to think beyond immediate operational gains and consider the strategic implications of the infrastructure they choose to build on. Relying solely on a few dominant platforms creates dependency. It outsources a core future competency. The alternative can be to seek out and support models that offer a stake in the system itself. The choice is between being a customer of the new economy or an owner.

The automation of digital work is happening. These tools are gradually becoming more capable and accessible. The only remaining variable is who owns the systems that will power the next decade of economic activity. That’s the question founders should be asking themselves. Because the answer could help define not just their own companies, but the market that emerges.

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