by Tan Aik Keong (AK)
Two terms keep coming up as AI develops: Agentic AI and AI Agents. They sound alike, but they represent different levels of intelligence altogether. Understanding the difference is genuinely useful for reading where the technology is heading, and where to place your own bets on innovation.
From tool to actor
A traditional AI Agent is mostly an "executor." It completes a defined task according to fixed rules or algorithms — a chatbot, automated customer service, a recommendation engine. Its core mode is passive execution: it takes an input instruction and produces a result, without genuine autonomy.
Agentic AI moves to a higher level. It doesn't just understand a task — it can set its own goals, plan a path, monitor execution, and revise its own strategy, showing real self-direction in complex situations. In other words, Agentic AI isn't just a machine that answers questions — it's an "action-taking intelligence" that can seek out an answer, judge priorities, and coordinate resources.
If an AI Agent is a capable assistant, Agentic AI is closer to a project manager with judgment and a sense of accountability.
Finance: smarter robo-advisors
In finance, AI Agents are already widely used for portfolio recommendations, risk monitoring and customer service — but these systems typically rely on preset models and static parameters, and struggle with sudden market shifts.
Agentic AI changes that. It can continuously monitor macroeconomic and market conditions, independently spot anomalies, and adjust an investment strategy on its own. During a market swing, for instance, it can proactively analyse geopolitics, inflation data and sentiment indicators to produce a more forward-looking recommendation. The robo-advisor of the future won't just answer an investor's question — it'll act ahead of them.
Healthcare: from diagnostic aid to clinical partner
AI in healthcare is already used for imaging and disease prediction, but mostly as decision support. Agentic AI can become more of a genuine clinical partner — proactively pulling the latest research, integrating patient records, and flagging potential risk on its own.
When a patient presents with symptoms across multiple systems, for example, Agentic AI can pull together cross-specialty data, work through a diagnostic path independently, and propose a personalised treatment plan. It can also monitor a patient's medication and recovery progress, adjusting its recommendations automatically — genuine continuous clinical decision support. That doesn't just raise efficiency; it reduces the risk of things falling through the cracks.
Education: a proactive tutor
In education, AI Agents are typically used for grading, recommending content, or generating personalised exercises. Agentic AI can go beyond that tool role and become a student's active tutor.
It can read a student's motivation and mental state, adjusting pacing based on real-time feedback; when it notices a student losing interest in a topic, it can proactively design a gamified task or cross-disciplinary content to re-engage them. More importantly, it can help teachers read overall class dynamics and anticipate learning bottlenecks, bringing education back to something genuinely human-centred and intelligent.
Agriculture: a self-optimising smart farm
Agricultural digitisation hinges on data collection and resource scheduling. AI Agents can already monitor weather, irrigation and pest activity, but still rely on a human to make the call. Agentic AI can manage an entire farm system independently.
It can analyse weather forecasts, soil moisture and market prices to decide planting timing, fertiliser volume and harvest schedules on its own; if it detects a pest outbreak spreading, it can coordinate drone spraying and logistics directly, running a closed loop end to end. The smart farm of the future starts to look like a self-running ecosystem, with real gains in yield and sustainability.
Toward AI with intent
The rise of Agentic AI means artificial intelligence is moving from passive tool to active thinker. AI stops being just a human assistant, and becomes a partner with a sense of purpose and environmental awareness.
That shift brings its own ethical and regulatory questions, though: who's accountable for an AI's autonomous decision? How do we make sure its actions stay aligned with human values? Those are worth society working through together. What's already clear is that Agentic AI is set to reshape finance, healthcare, education, agriculture and other core industries, opening the door to a future that's smarter, more collaborative, and more sustainable.
Part of the AK AI Corner column. Originally published in Oriental Daily (东方日报) on Nov 12, 2025.