We got used to asking AI for things. Write this. Summarize that. Explain this better. Give me five ideas.
But the next generation of AI systems is being built to do something fundamentally different.
Not just answer. Act.
An AI agent can be given a goal, decide which steps are needed, use different tools, process new information along the way and continue working toward an outcome with far less human instruction.
That sounds like a small change. It isn’t.
From prompts to goals
Most of today’s familiar AI experiences begin with a prompt and end with a response. Agentic AI changes that relationship.
Imagine asking an AI system not simply to suggest an advertising campaign, but to help execute and optimize it. Or giving it a business task that requires gathering information, making a sequence of decisions and using several digital tools before returning with a result.
The prompt becomes less important than the goal.
That opens possibilities across software development, advertising, customer service, finance and countless other industries. It also raises harder questions.
How much autonomy should an AI system have? Which decisions still require human approval? And when an agent acts on our behalf, who is responsible for what it does?
The interesting part starts after the answer
At IT SPOT 2026, these questions won’t exist only in theory. Speakers including Itana Bulatović and Miloš Šćepanović work with AI in environments where technology has to move beyond impressive demonstrations and create value in the real world.
That is where the conversation around AI is heading too.
We spent the last few years discovering what machines can generate.
The next question is what we are willing to let them do.