Tiếng Việt
- What is Agentic AI?
Agentic AI is the next generation of artificial intelligence (AI), designed to operate independently, learn on its own, make decisions, and perform complex tasks without the need for constant human supervision. Unlike traditional AI (such as simple data analysis systems or chatbots), Agentic AI is self-aware, adapts to the environment, and automates complex processes, thereby acting as a true “agent” in systems.
According to Gartner, Agentic AI is one of the top technology trends in 2025, with the potential to change the way people and businesses interact with technology. By 2030, Gartner forecasts that 80% of the population will interact with intelligent systems on a daily basis, in which Agentic AI plays a central role.
Key features of Agentic AI:
– Autonomy: Ability to make decisions and act on their own without human intervention.
– Self-learning: Use machine learning algorithms to improve performance over time.
– Adaptability: Adjusting behavior based on new environments and data.
– Multimodal Interaction: Understand and process a wide range of data (text, images, voice) to communicate effectively with humans.
- The Evolution of Agentic AI
Agentic AI did not appear out of nowhere but as a result of advances in foundational technologies such as:
– Generative AI: Models such as ChatGPT, Grok (xAI), or Llama have laid the foundation for natural language processing and content generation. Agentic AI expands this capability by not only generating content but also taking actions based on it.
– Deep Learning: Helps Agentic AI analyze complex data and make smarter decisions.
– Quantum Computing: Speeds up data processing, enabling Agentic AI to solve complex problems faster [Web ID: 2].
– IoT and Big Data: Provides a huge source of data for Agentic AI to learn and make decisions.
By 2025, the combination of these technologies has taken Agentic AI from theory to practical application, with companies such as Google, Microsoft, and xAI leading the way in developing autonomous AI systems [Web ID: 16].
- Application of Agentic AI
Agentic AI has the potential to be applied in many fields, from businesses to daily life:
3.1. In enterprises
– Process automation: Agentic AI can manage the entire supply chain, from production planning, warehouse optimization, to delivery, without human intervention [Web ID: 2].
– Decision Support: In finance, Agentic AI analyzes real-time market data to make investment recommendations or detect fraud [Web ID: 16].
– Customer service: Intelligent chatbots not only answer questions but also handle complex issues such as refunds, returns, or personalized travel planning [Web ID: 2].
3.2. In medicine
– Diagnosis and treatment: Agentic AI analyzes a patient’s medical data to recommend personalized treatment regimens, or assist doctors in surgery (e.g., automated surgical robots) [Web ID: 4].
– Hospital Management: Automate appointment scheduling, allocate medical resources, and monitor patient health remotely [Web ID: 10].
3.3. In education
– Personalized Learning: Agentic AI creates distinct learning programs based on each student’s abilities and learning style. For example, in Vietnam, AI is being applied to support smart education [Web ID: 10].
– Virtual teaching: AI assistants can act as teachers, answering questions and guiding students 24/7.
3.4. In daily life
– Smart Home: Agentic AI controls IoT devices in the home, automatically adjusts temperature, lighting, or meal planning based on family preferences [Web ID: 5].
– Personal Support: Virtual assistants like Grok (xAI) not only answer questions, but also help with workday planning, appointment reminders, and even give advice based on personal data [Web ID: 16].
- Benefits of Agentic AI
– Increased Productivity: Automates repetitive tasks, helping humans focus on creative and strategic tasks.
– Cost Savings: Reduce the need for manual labor in industries such as manufacturing, customer service, and management.
– Personalization: Provide experiences that are tailored to each user, from education to entertainment.
– Scalability: Agentic AI can handle larger workloads without increasing manpower, especially in sectors such as finance and healthcare.
- Challenges of Agentic AI
– Ethics and responsibility: Since Agentic AI operates autonomously, who will be held responsible if the system makes the wrong decision, such as in healthcare or transportation? [Web ID: 2].
– Security and privacy: Autonomous AI systems need access to big data, posing a risk of personal information leakage or being exploited by hackers [Web ID: 0].
– Employment Impact: Automation can lead to job losses in industries such as manufacturing, customer service, and administrative management [Web ID: 16].
– Implementation costs: Developing and maintaining Agentic AI requires significant investments in technology infrastructure, human resource training, and security.
- Future prospects of Agentic AI
– In Vietnam: Agentic AI has great potential in digital transformation, especially in healthcare, education, and manufacturing. However, Vietnam needs to invest in high-tech human resources and a legal framework to safely manage AI [Web ID: 10] [Web ID: 20].
– Globally: Agentic AI will continue to evolve with the support of quantum computing and IoT, ushering in a new era of intelligent automation