Interest in agentic AI is exploding. Reports indicate a 1,445% surge in enterprise inquiries around multi-agent systems, signalling that this is no longer an emerging concept, it’s rapidly becoming a priority across tech roadmaps.

From responding to executing:

Unlike traditional AI or chatbots, agentic AI doesn’t just generate answers. It can plan tasks, call APIs, execute workflows, monitor outcomes, and iterate independently, shifting from assistance to action.

Adoption is closer than it seems:

By 2028, 15% of day-to-day work decisions are expected to be made autonomously by AI, with 33% of enterprise software embedding agentic capabilities. This isn’t a layer on top, it’s becoming part of core systems.

But the gap is real:

While many organisations are exploring or piloting agentic AI, only a small percentage have deployment-ready solutions. The difference between experimentation and real-world implementation remains significant.

What this means for marketing:

Consumer behaviour is already shifting. A large share of users are comfortable with AI assisting or even making purchase decisions, opening the door to agentic commerce, where AI can discover, compare, and transact on behalf of users.

Where brands should start:

The opportunity isn't going all-in immediately. It’s in applying agentic workflows to repeatable marketing operations, campaign reporting, creative iteration, lead scoring, and automated follow-ups.

Agentic AI isn’t just another tool, it’s a shift toward systems that can operate, optimise, and scale with minimal human intervention.