Agentic OS is the Future: Linas Beliūnas on the Shift from Human Users to AI Agents

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Linas Beliūnas

LinkedIn Author

Building a Safer Internet with AI 🤖 | Scouting for top startups to invest in 💸 | The only newsletter you need for Finance & Tech at 🔔linas.substack.com🔔 | Financial Technology | FinTech | Artificial Intelligence | VC

In a recent LinkedIn post, Linas Beliūnas discusses a significant paradigm shift in computing, driven by the rise of Agentic Operating Systems (OS) and the insights shared by Nvidia CEO Jensen Huang. Beliūnas frames this evolution not as a mere software upgrade, but as a fundamental change in who, or what, utilizes software – moving from human interaction to autonomous AI agents.

Beliūnas highlights Jensen Huang’s assertion that “Every software company needs an OpenClaw strategy,” positioning OpenClaw as a foundational layer of computing akin to Linux, HTTP, or Kubernetes. This, according to Beliūnas, signifies a move beyond traditional SaaS models.

“We’re not upgrading software. We’re replacing who uses it. From humans clicking dashboards → agents running workflows.”

This transition, as Beliūnas explains, means that Software as a Service (SaaS) is evolving to become “agent-consumable” rather than simply “AI-powered.” He elaborates on the core differences that define this new era:

The Agentic Leap: Beyond Human Interaction

Beliūnas outlines several key characteristics that differentiate agent-driven workflows from traditional human-operated systems. He emphasizes that these agents are not just passive responders but active participants in processes.

  • Action-Oriented Capabilities: Unlike systems that merely provide answers, AI agents can perform actions such as reading/writing files, executing code, and managing tasks like booking meetings or opening pull requests.
  • Continuous Operation: Agents are designed for 24/7 execution, incorporating memory and scheduled tasks, enabling continuous workflows rather than discrete prompt-and-response cycles.
  • Enterprise Readiness: Beliūnas points to NVIDIA’s NemoClaw, which adds sandboxing and policy engines, as a crucial development for making agents secure and enterprise-ready through guardrails.

The adoption rate is already significant, with Beliūnas noting that “22% of employees are already running agents at work (most without IT approval).” This pervasive, often unmanaged, use underscores the rapid integration of agentic technology into daily operations.

Redefining Product Moats and Competition

The implications of this shift, as articulated by Beliūnas, fundamentally alter how businesses should view their products and competitive landscape. The focus is moving away from traditional interfaces and user experience towards the underlying orchestration and security of agent interactions.

The Interface Becomes Optional

Beliūnas argues that in this new paradigm, “Your product is no longer the interface. It’s a tool an agent calls.” This means that the primary user interface is no longer the direct point of interaction for the end-user, but rather the agent that leverages the product’s capabilities. Consequently, the competitive advantage shifts.

“Your moat is no longer UX. It’s orchestration + security.”

He further elaborates on the competitive pressures, stating, “And your competition is no longer just another SaaS. It’s someone else’s AI agent doing your job faster.” This highlights a future where the primary competitive threat comes from autonomous agents that can perform tasks more efficiently than human-led processes or even competing software solutions.

The Future of Software and Competition

In conclusion, Beliūnas posits that the future economy will be driven by agents and machines, making the traditional interface potentially optional. The companies that will succeed are not necessarily those building better tools, but rather those that are “build[ing] better agents.” This perspective underscores a profound transformation in how software is developed, consumed, and how businesses establish their market position in the age of AI.

📝 About This Content

This article is based on insights shared by Linas Beliūnas on LinkedIn.

📅 Originally posted on March 17, 2026 | View original post on LinkedIn →