The most important change that AI brings to business marketing is reducing the amount of manual work. AI models that generate data, process data or automate processes have shown the ability to support human resources to work faster, more accurately and limit repetitive errors in data collection, classification of feedback, writing content columns, editing images or creating weekly reports.
At that time, employees can focus more on strategic and creative work, which are factors that determine the brand's competitiveness in the digital environment.
AI also helps increase accuracy and speed in the process of analyzing user behavior, a part of the work that previously SMEs or small marketing agencies often had to do manually or ignore due to lack of human resources. The ability of AI to read and synthesize big data in real time helps businesses detect needs, trends and risk points in campaigns faster, thereby adjusting messages, optimizing distribution channels and improving user experience.
According to Dr. Nguyen Nhu Khoa - AI Consultant at FPT Digital, FPT Group - the value of AI in marketing does not lie in following technology but in the ability to help the team work more effectively.
He commented: AI is only really useful when it reduces workload and improves output quality. Proper training will help employees not only know how to use tools, but also know how to put AI in the right place to create value".

This view explains why many businesses after the testing phase have begun to require internal training to improve the AI capability of the marketing and communications team.
The application of AI also leads to an important change that is to help standardize and automate marketing processes. Instead of each individual following their own experience, businesses can build a unified process, in which AI takes charge of technical steps such as analyzing content, suggesting messages, optimizing posting schedules, evaluating KPI, etc.
This helps reduce the risk of errors, create transparency and speed up the campaign implementation loop, especially important in the context of daily changes in social networks.
Another benefit is that AI helps personalize communication, a trend that is becoming a new standard of modern marketing. With the ability to analyze behavioral data, AI can suggest appropriate content for each customer segment, helping businesses reach the right person, the right time and the right needs.
This not only improves advertising efficiency, increases conversion rates but also promotes sustainable relationships between brands and customers.
However, for AI to truly promote efficiency, businesses cannot stop at "using tools". Internal training, building new working habits and establishing data security principles become a mandatory foundation.
Businesses need to ensure that employees understand how AI creates results, know how to control risks and know how to combine AI with human creative thinking. This is a factor that any algorithm cannot replace.