Contents
- AI advertising is changing the context in which users choose what to buy
- The changes already reaching AI advertising are forcing marketing teams to work differently
- In Vietnam, AI advertising should be seen as a control problem, not an early-mover race
- Before increasing AI ad budgets, marketers need to do three things
- References
Advertising is moving into a new place: no longer just squeezed between content, but stepping directly into the place where users ask, compare, and make decisions. For marketers in Vietnam, the key point is not that there is one more ad format, but that AI is reshaping how people research products and how brands get chosen.
That is why the developments around ChatGPT Ads, disputes over AI data, and infrastructure pressure point to one common argument: advertising in AI environments will no longer be measured by simple impression counts, but by the ability to enter the right context, use the right data, and manage risk at the right level.
Key points
- ChatGPT Ads show advertising shifting from being placed in front of users to appearing right in the middle of their consideration process.
- Copyright and data disputes show that trust is no longer about a brand speaking well, but about whether the system uses data transparently.
- Infrastructure pressure and operating costs mean that “advertising with AI” is not just a media problem, but an integration, verification, and governance problem.
- In Vietnam, anyone who wants to move early needs to prepare measurement, useful content, and data controls before spending at scale.
AI advertising is changing the context in which users choose what to buy
OpenAI says ChatGPT Ads reached $1 billion in annualized revenue in less than 200 days after launch, and advertising is beginning to expand through Ads Manager in regions such as India, Europe, the Middle East, and North Africa: openai.com/index/expanding-access-to-ai-with-chatgpt-ads. The notable detail is not only the speed of revenue growth, but the way OpenAI describes where ads appear: right inside an experience where users state goals, conditions, and criteria before making a decision.
At the same time, Press Gazette has reported a series of developments showing the content ecosystem being pulled into a new negotiation with AI, from lawsuits by Editorial Perfil, Wikihow, and more than 30 local newspapers in the US to content deals between publishers and AI platforms: pressgazette.co.uk/platforms/news-publisher-ai-deals-lawsuits-openai-google. This reminds marketers that “being present” in AI is no longer just a placement issue. It is tied to data usage rights, citation rights, and the level of acceptance from content owners.
At the marketing level, the broader context has changed: advertising no longer sits outside the information-search journey, but can move alongside the decision-making process itself. When users ask AI to choose software, learn a skill, or compare options, any ad that appears there will be scrutinized as part of the answer, not as a separate banner.
The changes already reaching AI advertising are forcing marketing teams to work differently
This section looks at what has changed and the real costs marketers now have to recalculate. What they have in common is this: AI advertising cannot run on a media plan alone. It needs infrastructure, data, access rights, and a much clearer way to control outputs.
ChatGPT Ads: moving from buying visibility to buying a place inside the decision
OpenAI describes ChatGPT as a place where discovery, consideration, and decision-making come together in one experience. So advertising here is not only about driving traffic, but also about entering the moment when users are defining their selection criteria. OpenAI’s source shows advertising being rolled out as part of a multi-pronged business model, alongside subscriptions, enterprise, and API: openai.com/index/expanding-access-to-ai-with-chatgpt-ads.
For marketers, the result is that media objectives have to change. If the priority used to be impressions, CTR, or bottom-funnel conversion, then in an AI environment the value lies more in how closely the message matches the user’s question and how useful it is in that context.
AI data disputes: the right to use content is becoming part of ad costs
Press Gazette shows that disputes between publishers and AI platforms are no longer just a journalism issue. As data and content are pulled into AI search, AI chat, and licensing deals, marketers cannot assume that every information source can be freely used for distribution or training: pressgazette.co.uk/platforms/news-publisher-ai-deals-lawsuits-openai-google.
This directly affects advertising because the real cost is not only the money spent on media. It also includes legal costs, the cost of choosing safe data sources, and the cost of verifying content before it enters an automated system. In an AI environment, a campaign that looks cheap on paper can become expensive if the input data is unclean or the usage rights are unclear.
Infrastructure and operations: AI ads only run when the system underneath is stable enough
The Current reported on the debate in Effingham County around OpenAI’s data center project, showing that AI expansion is not only about product or communications, but also about electricity, land, water, processing capacity, and local community acceptance: thecurrentga.org/2026/08/29/openai-data-center-sparks-intense-debate-at-effingham-county-meeting.
For advertising, this points to a reality that is rarely stated directly: the more a system depends on AI, the more it needs infrastructure that is reliable enough to maintain speed, cost, and output quality. Marketers may buy an ad feature very quickly, but if the data pipeline is weak, the integration is poor, or the stability is not sufficient, the campaign will fail at the operational level rather than at the idea level.
In Vietnam, AI advertising should be seen as a control problem, not an early-mover race
In Vietnam, the thing worth watching is not “when chatbot ads arrive,” but what businesses will use them for. Sectors with long consideration cycles such as education, personal finance, SaaS, travel, or real estate can benefit if ads appear in the right question-and-answer context. But the prerequisite is that product data must be clear, content must be genuinely useful, and measurement must separate real impact from noise.
The Vietnamese market also tends to have one habit: treating a new tool as just another channel to run. With AI advertising, that approach is easy to get wrong. What changes is not only where the ad appears, but how users trust and how they choose. If a brand has not standardized its content, has not controlled its input information, and has no way to connect CRM, website, and chatbot data, budget can easily be burned on surface-level interactions.
The positive point is that Vietnamese marketers have the advantage of making decisions quickly. If done leanly, a small test group can immediately check three things: what questions users ask, what content AI brings into the consideration flow, and which conversions truly come from that experience. AI advertising should therefore be treated as a test of data quality and system readiness, not as a launch for the sake of launching.
Before increasing AI ad budgets, marketers need to do three things
- Standardize product data, offers, and FAQs so AI can read and respond consistently.
- Define measurement criteria specific to the AI environment, not just CTR or impressions.
- Review content usage rights, data sources, and approval workflows before putting anything into an automated system.
- Run small tests in audience groups with long consideration cycles, then think about scaling the budget.
AI advertising will not replace all existing media, but it will force marketers to be more selective about data, content, and how they measure performance. Those who treat it as just another placement channel will move slowly. Those who see it as a shift in how users make decisions will gain an earlier advantage.
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References
- OpenAI — A milestone in expanding access to AI
- Press Gazette — Who’s suing AI and who’s signing latest: Editorial Perfil sues OpenAI, News Corp vs Brave
- The Current — OpenAI data center sparks intense debate at Effingham County meeting
