Artificial intelligence (AI) meant one thing to most people for years: you type something in, and it types something back. You ask a question, and it replies. The AI sat there, waiting. It was useful only when asked. That model is now changing. A new kind of AI, known as Agentic AI, is moving beyond conversation and into action. It does not just respond. It plans, decides and executes tasks on its own.
The word “agentic” comes from the idea of agency, the capacity to make decisions and act independently. Where a regular chatbot answers a question about booking a flight, an agentic system actually books the flight. It compares options, reads your email preferences, checks your calendar and completes the transaction without asking you at every step.
The system works through a loop of perception, reasoning, action and learning. It gathers data from multiple sources, including user input, databases and external tools. It then analyses the context, plans a sequence of steps and executes them. After each step, it evaluates the result and adjusts its approach if needed. The ability to self-correct is what allows it to handle multi-step tasks.
This is not a small shift. Researchers at MIT Sloan School of Management describe this new type of AI as one that connects with other software and completes tasks on its own, with very little human help. Sinan Aral, a professor at MIT Sloan, explained it simply: the age of agentic AI is already here, with the system being used widely across the economy to handle many different tasks. Nvidia CEO Jensen Huang said that AI agents for business could become a “multi-trillion-dollar opportunity” for industries around the world.
Nowhere is this shift being felt more immediately than in software development. Coding has traditionally required careful planning and manual execution. With agentic AI, systems can now write, test and debug code with minimal supervision. Some advanced models can identify vulnerabilities, fix errors and even improve existing systems.
According to Bayelsa Watch, about 51 per cent of companies have already started using AI agents. Sakibul Anwar, a software engineer at a local firm, said the agentic AI feature in Claude has significantly changed how he works. “What used to take me nine to ten hours to write code now takes me around half an hour,” he said.
Beyond coding, the broader economic impact is starting to take shape. Companies are investing heavily in AI systems that can automate workflows. In customer service, Gartner predicts that by 2029, agentic AI will autonomously resolve 80 per cent of common customer issues without human intervention. This technology is also reshaping the job market.
Job postings requiring experience with AI coding tools increased by 340 per cent between January 2025 and January 2026, LinkedIn data shows. The demand is not going away; it is just changing shape. Developers who can design systems, review AI-generated code and manage automated workflows are now among the most sought-after professionals in technology.
A publication from Boston Consulting Group (BCG) shows that in the Asia-Pacific region, which includes Bangladesh’s broader neighbourhood, more than three in four workers say their companies are already experimenting with AI agents. Nearly as many also believe these tools will become essential to their work within the next three to five years.
However, only 33 per cent say they understand how these systems work. This points to a significant gap in education and governance. Reflecting this shift, Rashed Sorwar, Director at Tiger IT, said his company is already changing how it approaches hiring. He said they are no longer planning to replace certain roles when employees leave, as agentic tools are expected to take over some of the responsibilities.
For a country like Bangladesh, where the technology sector is growing rapidly, and thousands of young professionals are building careers in software and IT services, these changes are not distant. They are arriving now. Understanding agentic AI is no longer just the concern of engineers or tech executives. It is becoming important to anyone whose work touches a screen.
The question is not whether agentic AI will reshape how we work. That is already happening. The real question is whether individuals, companies and institutions will adapt in time or simply get left behind.
