GenAI Boom is Over, 2025 is the AI Agent Era
Artificial intelligence is going through transformation as the technology improves, and 2025 is turning out to be the year of the AI agent. The development of AI agents, which is widely considered the next big thing, is the direction most firms are taking, which has left behind the once-dominant GenAI that has been there recently. The role of these AI agents goes far beyond being a trend; their integration into enterprise resources planning (ERP) systems is the first step toward the radical change of firms” operations.
AI agents are intelligent systems programmed to work independently to accomplish specific

therefore, in addition to the automotive industry, AI agents are also becoming an indispensable part of Modern ERP systems. For example, with the implementation of AI agent technology, firms can devise faster workflows and enhance their productivity. It is also noteworthy that the integration of AI agents into ERP systems is associated with improved decision-making experiences. This means that enterprises receive real-time knowledge and data analysis pertaining to their operations on the spot. The main idea at stake here is not to reduce human labor; it is to build a smarter and therefore more responsive workplace overall.
Leading in the AI sector, OpenAI has been the main provider of artificial intelligence agents that can be integrated into other projects ERP systems. Their achievements set the mission of transforming businesses AI agents from the real potential of innovation that brings setting new standards for other manufacturing robots. Besides, firms are now acknowledging the objective of such technology and the use it can be in the process. AI agents, fully complying with the learning concept, are the new players in the field as firms struggle to retain their status in the competitive market.
DeepSeek, another significant firm, and key innovator in the AI field, are also engaged in the production of AI agents. Their objective is to design AI agents who can understand and learn about the business environment, thus, optimizing the way products are made and/or offered to clients. It is not a doubt that the future definitely holds for additional technology and robotics learning skills, which will enable them to contribute more to business resources.
The growth of AI agents is not only for corporates. Because of their advantages, small and medium-sized firms are balancing their EP systems with the acquisition of these technologies. AI agents are fluid and scalable, which is why they can fit the needs of firms differently, regardless of the size, and, accordingly, target operational optimization and financial profit improvement.
Even though it is still competitive, the AI agent”s features are outbalancing those that GenAI possesses. Transitioning from GenAI to AI agents is not only a tech update it is also a power play that businesses are making to extract as much value as possible from artificial intelligence. Adding to this, AI agents are boosting ERP systems as well as reshaping customer service, supply chain management, and other vital business areas. 2025 will be the landmark process of AI agents with advancement in firms stepping into this technology to beat competitors. AI agents, the invention of the future, will provide all the smart thinking a business ever needs beginning to be more than intelligent and beyond what is expected.
A cloud-native ERP widely adopted by business in Asia. With over 6,000 customers in the region, aiM18 gains positive feedbacks from customer across different sectors, from manufacturers, distributors, retailers, service providers to NGOs. The renowned no-code approach saves customer a big sum of customization costs and countless hours of implementation man-days.
About LAIDFU
A multiple LLM based enterprise AI Copilot. Inherited the no-code design of aiM18, users just like LAIDFU’s adaptability, flexibility and cost-effectiveness. Business guru knows there is no one-size-fits-all. LAIDFU, a configurable AI Copilot, is here to resolve the bottleneck of business users in their AI-driven operation revamp.