The Rise of Agentic AI: Why Business Is Only Beginning to Catch Up

The rise of AI agents in modern business
The rise of AI agents in modern business

While generative AI grabbed the early headlines, a new evolution is taking shape — agentic AI, systems that can plan, reason, and act independently to accomplish goals. Instead of waiting for human prompts, these intelligent agents can take initiative, manage workflows, and adapt as conditions change.

For businesses, this shift represents both promise and pressure. According to McKinsey, nearly 90 percent of organizations now use AI in some capacity, yet fewer than a quarter have begun to scale agentic systems. The challenge isn’t enthusiasm — it’s readiness. Agentic AI demands better data pipelines, security layers, and reimagined processes to handle decisions once reserved for people.

Early adopters are already seeing results. In cybersecurity, agentic AI can autonomously detect and contain threats before teams even notice. In operations, it’s handling scheduling, inventory, and customer engagement across multiple channels. What once required departments now happens in real time — invisible, fast, and increasingly autonomous.

Still, businesses are just scratching the surface. For every company deploying these systems, dozens are still experimenting, unsure how to integrate AI that doesn’t just assist — but acts. The next wave of competitive advantage won’t come from using AI, but from partnering with it.

Agentic AI is the future of automation, and the dawn of self-managing systems that redefine what it means to work.

The Author

Picture of Kai Zhang

Kai Zhang

Staff Writer, Readovia

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