By The official story is that OpenAI is partnering with Criteo and holding talks with The Trade Desk to bring advertising into ChatGPT. A thoughtful, measured approach to monetization. Nothing to worry about.
Here's what's actually happening: OpenAI is hiring a monetization infrastructure engineer to build its ads systems from the ground up, an engineering manager to lead the team, a product designer to define what advertising looks like inside its AI assistant, a senior manager to own ad revenue accounting, and a trust and safety hire dedicated specifically to the ads product. All in San Francisco. All full time. According to Digiday, compensation bands for these roles run as high as $385,000.
Companies paying $385k for an ads engineering manager are not planning to rent their stack forever.
What's being built
Right now, OpenAI has no advertiser relationships, no measurement history, and no agency integrations worth mentioning. Criteo and The Trade Desk have all three. That's why the partnerships exist: they're not a strategy, they're a bridge.
The actual strategy is visible in the job listings. OpenAI wants a demand-side tool for buyers, a decisioning layer for yield optimization, and measurement infrastructure that integrates with third-party modeling platforms. That's a description of a walled garden. Not a ChatGPT plugin for some DSP's API.
Adweek reported this week that OpenAI has hired David Dugan, a former Meta vice president who led its global clients and agencies division, as VP and head of global ads solutions. Dugan reports to COO Brad Lightcap. Holding companies including Omnicom, WPP, and Dentsu are reportedly lining up to test inventory. Early brand partners like Best Buy and AppLovin have already run pilots. Minimum commitment to get in: $200,000 per brand, per Adweek.
The product has a name now too. OpenAI is testing an ads manager, the same type of self-serve interface that Facebook and Google used to turn their ad businesses from bespoke deals into printing presses.
Why this was always inevitable
LUMA Partners CEO Terence Kawaja made the arithmetic plain at a recent Marketecture conference: LLM infrastructure costs are large enough that subscription revenue alone can't cover them. OpenAI is expected to burn approximately $15 billion in cash this year, up from $9 billion in 2025, according to Digiday. Around 910 million users interact with ChatGPT weekly. Roughly 95% of them don't pay.
That math has one answer.
The historical parallel everyone in this industry should be reaching for isn't Google circa 2003. It's Netflix and Walmart. Both companies announced advertising businesses while simultaneously leaning on outside infrastructure to move fast. Netflix launched with Microsoft's ad tech. Walmart stitched together DSP partnerships. Both spent the years that followed systematically pulling the stack in-house, because margin is on the infrastructure side, not the media side. The companies that helped them launch were well aware of what they were signing up for.
