
AI is already changing how digital marketing teams work in Vietnam.
At Feedforce Vietnam, we do not see AI as something that will simply “take jobs away.” A better way to describe it is this:
AI reduces low-value manual work, but increases the need for judgment, quality control, and business understanding.
This is especially true in digital advertising.
In our daily work, AI is already helping with many tasks that used to take a lot of time.
For example:
This does not mean these tasks disappear completely. But the first draft is much faster now.
One of the biggest changes is language. In Vietnam, many business teams work across multiple languages such as Vietnamese, English, and Japanese. Before, some client communication tasks required near-native language ability. Now, with AI support, non-native team members can handle more text-based work than before.
This is a positive change. It helps more people join higher-level work.
But it also creates a new challenge.
When AI creates the first draft, humans must become better reviewers.
AI can write natural sentences. But it can also make very confident mistakes.
In advertising reports and proposals, small errors can create big problems. A wrong number, wrong date, wrong reporting period, or wrong source can quickly damage client trust.
So while AI reduces drafting time, it increases the need to check:
Are the numbers correct?
Is the period correct?
Is the source reliable?
Does this match the client’s situation?
Will this actually help the client grow?
This is why managers may feel busier, not less busy. AI allows teams to produce more output, but that also means there is more output to review.
In other words, AI does not remove responsibility. It increases the importance of responsibility.
There is another issue that many companies may face.
In the past, junior members learned through basic tasks: research, translation, meeting notes, reports, and simple ad copy. These tasks were not always exciting, but they helped people understand clients, products, numbers, and business context.
Now AI can do many of these tasks quickly.
That means junior members may lose some opportunities to learn by doing.
This does not mean we should avoid AI. But we need to change how we train people. It is no longer enough to say, “Use AI to make this faster.”
We need to teach people:
How to question AI output.
How to check facts and numbers.
How to understand the business behind the task.
How to improve a draft instead of just accepting it.
The future junior marketer will not be judged only by how fast they can complete a task. They will be judged by how well they can use AI while still thinking independently.
AI can create ad copy. It can summarize data. It can suggest campaign ideas.
But it still struggles with deeper business judgment.
For example:
What does the customer really want?
Is the product ready for performance marketing?
Is the problem really the ad campaign, or is it the product page, offer, pricing, trust, logistics, or sales follow-up?
Which KPI should the client focus on: revenue, profit, leads, or platform-reported conversions?
These questions require more than tool operation.
They require context, experience, and communication with the client.
B2B sales and client management are also difficult to replace fully. Trust, relationships, referrals, and face-to-face communication still matter a lot. AI can help prepare proposals, but it cannot fully replace the human work of building trust and moving decisions forward.
AI will make “simple task execution” less valuable.
Clients can already use AI to create ad copy, summarize competitors, draft reports, or generate image ideas. So agencies cannot rely only on doing these tasks faster or cheaper.
The value of an agency needs to move upward.
The important questions become:
Which channel should we prioritize?
Which KPI should we use?
How should we allocate budget?
What is blocking revenue growth?
How can ads, product pages, creative, tracking, and sales follow-up work together?
This is where digital marketing becomes closer to business strategy.
For Feedforce Vietnam, this means focusing more on performance marketing that is connected to real business results, not just platform operation.
Running ads is not enough. We need to understand the product, customer journey, website, marketplace, creative, tracking, and revenue data.
Some tasks will definitely decrease.
But I do not think AI will simply reduce employment in Vietnam’s digital advertising industry.
Instead, it will divide jobs more clearly.
People who only do simple execution may face more pressure. But people who can use AI to expand their role will become more valuable.
The future marketer needs to combine:
Basic advertising knowledge
Data understanding
Creative judgment
Technical curiosity
Client communication
Business thinking
AI usage itself will become normal. The difference will be whether a person can use AI to take on bigger work.
AI is not only a productivity tool. It is changing what “good work” means.
In digital marketing, AI reduces the time needed for research, translation, drafting, and summarizing. But it increases the importance of review, judgment, education, and client understanding.
So the question is not only:
“Will AI reduce jobs?”
The better question is:
“What kind of work will still create value after AI becomes common?”
In Vietnam’s digital advertising industry, I believe the answer is clear.
The value will move from doing tasks to designing better decisions.
That is also where we want to keep improving as a team.