TL;DR
- OpenAI's ad business hit a $1 billion annualized revenue run rate seven months after launch.
- OpenAI has an internal goal of $25 billion in ad revenue by the end of 2026, and $100 billion by 2030.
- Digiday identifies five barriers: unproven measurement tools, rigid contract terms, an inventory shortage, limited reach beyond enterprise clients, and reliance on partners like Criteo and Kargo.
- OpenAI plans to reach smaller advertisers via a Shopify integration and product feeds.
OpenAI's ad business is running at a $1 billion annualized revenue rate seven months after launch, but Digiday identifies five specific barriers standing between that number and OpenAI's internal goal of $25 billion in ad revenue by the end of 2026. The barriers range from unproven measurement tools to a shortage of available ad inventory.
The headline number and the much bigger target
According to Digiday, OpenAI's advertising business has reached a $1 billion annualized revenue run rate seven months after it launched. That is the current pace of revenue, not a cumulative total, and it sits far below where OpenAI reportedly wants to be. Digiday reports that OpenAI has an internal goal of $25 billion in ad revenue by the end of 2026, and a longer-term internal goal of $100 billion by 2030. Digiday's reporting does not state what portion of either goal has already been reached beyond the $1 billion run-rate figure, so this article does not assume any trajectory beyond what was reported.
The gap between a $1 billion run rate and a $25 billion year-end target is large by any measure, and Digiday's podcast reporting focuses specifically on five structural issues that stand in the way, rather than treating the gap as a simple matter of more time or more sales effort.
It is worth being precise about what Digiday's report does not say. It does not break down the $1 billion figure by format, region, or client type, and it does not say how much of the $25 billion goal depends on each of the five barriers being resolved versus some other factor entirely. It also does not name a date by which OpenAI expects to resolve the measurement, contract, or inventory issues described below, so this article treats each barrier as an open, unresolved condition rather than a problem with a stated fix date.
The five barriers Digiday identifies
1. Measurement and attribution tools are unproven
Digiday reports that marketers do not yet have proven tools to measure and attribute the results of advertising inside OpenAI's products. Without reliable measurement, it is harder for advertisers to justify larger budgets, since they cannot cleanly show what a given ad spend produced. This barrier sits upstream of the others: a brand that cannot prove a channel works will not expand its commitment on that channel regardless of how much inventory or support is available, and an advertiser already running mature attribution on Google Ads or Meta Ads has a direct basis for comparison that a newer channel does not yet offer.
2. Advertiser discomfort with contract terms
The second barrier is advertiser discomfort with how rigid OpenAI's data and liability contract terms are. Digiday's reporting frames this as a friction point in deal-making, separate from the product itself. A contract that advertisers find too rigid on data handling or liability can slow down or block a deal even when the advertiser is otherwise interested in the ad product, and Digiday's framing suggests this has been a recurring issue rather than a one-off negotiation.
3. An inventory shortage relative to committed budgets
The third barrier is more mechanical: Digiday reports that OpenAI has an inventory shortage relative to the ad budgets advertisers have already committed to spend. In plain terms, there is reportedly more advertiser money lined up than there is ad space to place it in. This is a different kind of problem from the first two, since it is not about convincing advertisers to spend, it is about OpenAI having enough ad-eligible surface area across its products to actually place the ads that advertisers already want to buy.
4. Needing to expand beyond enterprise clients
The fourth barrier is reach. Digiday reports that OpenAI needs to expand beyond its current enterprise client base to reach smaller advertisers, and that this expansion is expected to happen through a Shopify integration and product feeds, which would let smaller merchants plug their catalogs into OpenAI's ad surfaces rather than requiring a direct enterprise-style sales relationship. Digiday's report does not give a timeline for when this Shopify integration or feed support will be broadly available, so that detail is not stated by the source.
5. Reliance on partners to reach more advertisers
The fifth barrier is that OpenAI currently relies on partners such as Criteo and Kargo to reach more advertisers at all. Digiday's reporting treats this reliance as a structural dependency rather than a temporary arrangement, meaning OpenAI's own ad reach, for now, is partly a function of what those partners can bring in. This is distinct from the fourth barrier: expanding beyond enterprise clients is about who OpenAI can sell to directly, while relying on Criteo and Kargo is about who else is doing the selling on OpenAI's behalf.
The table below lays out the figures and barriers as reported by Digiday.
| Metric or barrier | What Digiday reports |
|---|---|
| Current ad run rate | $1 billion annualized, seven months after launch |
| 2026 year-end goal | $25 billion in ad revenue (internal OpenAI target) |
| 2030 goal | $100 billion in ad revenue (internal OpenAI target) |
| Barrier: measurement | Unproven measurement and attribution tools for marketers |
| Barrier: inventory | Inventory shortage relative to committed advertiser budgets |
| Barrier: reach | Reliance on partners such as Criteo and Kargo to reach more advertisers |
What this means for Thai marketers considering ChatGPT ads
Relevant Audience recently launched its own ChatGPT Ads service page, reflecting genuine interest from clients in understanding the channel. This Digiday report is a useful reason for caution rather than urgency. A channel running at a $1 billion run rate while its own reported goal is $25 billion within the same year is, by the numbers Digiday cites, early-stage. An inventory shortage relative to committed budgets also suggests that even advertisers who want to spend more on OpenAI's ad surfaces right now may not be able to, regardless of location.
Digiday's reporting does not mention Thailand, Southeast Asia, or any region-specific inventory or spend figures, so nothing here should be read as a claim about Thai availability or Thai advertiser demand specifically. The more general point, which does apply to any market including Thailand, is that unproven measurement tools make it harder to know what a given ad dollar on this channel actually achieved. That is a reasonable basis for treating ChatGPT Ads as an experimental, supplementary channel for now, run alongside an established Google Ads or Meta Ads program rather than in place of one. The connection to broader AI-driven visibility strategy, sometimes referred to as generative engine optimization, is also still developing and subject to the same measurement limitations Digiday describes.
A practical way to apply this is to treat the five barriers as a checklist before shifting any meaningful budget. If your own attribution setup cannot yet tell you what a ChatGPT ad impression or click actually contributed, that is the same measurement gap Digiday describes, not a problem specific to your account. If OpenAI's current contract terms, data requirements, or minimum spend do not fit a smaller business, that lines up with the contract-terms and enterprise-focus barriers Digiday reports, and it may simply be too early for smaller advertisers rather than a sign anything is wrong with the product. Watching for the Shopify integration and product feeds Digiday mentions is a reasonable way to gauge when the channel is opening up to smaller merchants, since that is the specific mechanism named for reaching beyond enterprise clients.
FAQ
Is ChatGPT advertising available in Thailand right now?
Not stated by the source. Digiday's report covers OpenAI's overall ad business, its run rate, and its internal revenue goals, without naming Thailand or any specific country availability.
What is OpenAI's actual ad revenue today, not the goal?
Digiday reports OpenAI's ad business is running at a $1 billion annualized revenue rate seven months after launch. The $25 billion and $100 billion figures are internal goals for the end of 2026 and for 2030, not current revenue.
Why can't advertisers just spend more if they want to?
Digiday reports that OpenAI has an inventory shortage relative to the ad budgets advertisers have already committed, meaning demand from advertisers currently exceeds the ad space OpenAI can offer.
How is OpenAI planning to reach smaller advertisers, not just big brands?
Digiday reports that OpenAI plans to expand beyond its enterprise client base through a Shopify integration and product feeds, alongside reliance on partners such as Criteo and Kargo.
Should a small or mid-sized Thai business shift budget from Google or Meta to ChatGPT ads now?
Not stated by the source, and not a recommendation this article makes. Given the unproven measurement tools and inventory shortage Digiday reports, treating ChatGPT Ads as a small supplementary test alongside existing Google Ads or Meta Ads budgets, rather than a replacement for either, is the more cautious approach while the channel is still this early in its development.
Relevant Audience's ChatGPT Ads service covers early experimentation with this channel for clients who want to test it without pulling budget away from proven Google Ads and Meta Ads campaigns.
