AI deployment failed due to a lack of operational personnel.

Many AI projects only run for a few months before being abandoned. This is because businesses lack the skilled workforce to operate, monitor, and optimize the system after deployment.

The wave of AI applications is spreading across many sectors in Vietnam. Numerous businesses are heavily investing in chatbots, internal data search systems, process automation, and AI-powered data analysis with the expectation of optimizing costs and increasing productivity.

But behind that vibrant picture lies a rarely mentioned reality: AI projects are only effective for the first few months before gradually being abandoned. The reason is that businesses lack a team with sufficient expertise to operate, monitor, and optimize the system after deployment.

AI deployment failed due to a lack of operational strategy.
Many Vietnamese businesses approach AI with a "try it out" attitude. Some implement small-scale tools in individual departments but lack an overall strategy, data planning, and clear long-term goals.

Many leaders confuse the application of AI with true digital transformation. Introducing chatbots into customer service or using AI to assist in content writing may give the impression that a business is innovating, but it is not enough to build sustainable competitiveness if the core operational processes do not change.

According to McKinsey's QuantumBlack global report on the state of AI, approximately 5% of organizations actually reap significant and sustainable financial benefits from AI. The common thread among these organizations is that they don't spread themselves thin across dozens of projects simultaneously, but instead focus on a few strategic goals that have the greatest potential to impact their business operations.

Meanwhile, many businesses fall into the trap of investing in technology first and then figuring out how to apply it later. The consequence is that the system is put into operation but lacks dedicated personnel, KPIs to measure effectiveness, and continuous optimization accountability. After the initial excitement, the project quickly runs out of steam.

The biggest barrier is people.
One of the biggest paradoxes of AI transformation today is that businesses are willing to spend billions of dollars on infrastructure and software, but invest little in the operational team.

According to the latest research by Bosto Consulting Group, titled "AI Transformation is Workforce Transformation," the success of an AI campaign is based on a formula of 10% computer algorithms, 20% technology infrastructure, and 70% human restructuring and workflow transformation. In other words, AI is not a "buy and play" product. For a system to operate effectively, it needs continuous training, data updates, output evaluation, and refinement to suit the real-world business context.

This is also a common weakness of Vietnamese businesses. Employees are willing to try new tools, but internal operating mechanisms don't change accordingly. Outdated KPIs, old approval processes, and outdated management thinking make it difficult to integrate AI into daily operations. As a result, the gap between the theoretical potential of AI and practical operation widens.

Businesses are desperate for employees who are proficient in both technology and management.
The explosion of AI is creating a huge market demand for personnel capable of operating technology systems at a strategic level.

This is no longer just about pure programmers. Businesses now need people who not only understand technology but also have the ability to analyze business processes, design processes, and evaluate real-world operational efficiency.

These individuals act as a bridge between the engineering team and the business department, helping AI move beyond mere "demo" stages and become a tool for generating productivity and revenue.

Many businesses possess powerful technologies, but without people to master the systems, the project will struggle to create long-term value. Therefore, the demand for training in AI technology management and operations has been rapidly increasing in recent years.

Faced with the strategic talent shortage for the AI ​​era, the FSB Institute of Management & Technology (FPT Group) is launching a Master of Software Engineering program with a focus on Artificial Intelligence (MSE AI), concentrating on the design, management, and operation of large-scale technology systems. The program targets software engineers who want to advance to roles such as system architects, engineering team leaders, or technology managers.

An MSE AI training session at FSB Da Nang.

Unlike short-term tool-based training models, this program focuses on systems design thinking and technology product lifecycle management, helping students transition from the role of coder to system coordinator.

A notable feature is that the program combines academic foundations with practical experience from FPT's technology ecosystem, giving students the opportunity to participate in real-world implementation projects instead of just learning theory.

Learn more about the program at caohoc.fpt.edu.vn.

(Source: FSB Institute of Management & Technology)

Source: https://vietnamnet.vn/that-bai-trong-trien-khai-ai-vi-thieu-nhan-luc-van-hanh-2518152.html