Ddos 
As the soaring operational costs of generative-AI services continue to draw scrutiny, speculation surrounding whether ChatGPT might eventually introduce an advertising model has never truly subsided. Recently, a developer discovered what appeared to be ad-related code in the Android test build of ChatGPT, igniting vigorous debate across the community. In response, OpenAI product manager Nick Turley issued an official statement, unequivocally clarifying that “we are not currently testing any advertising features.”
According to Tibor Blaho, chief engineer of the ChatGPT plugin tool AIPRM, several new code strings tied to an advertising framework surfaced in the ChatGPT Android app version 1.2025.329. These included terms such as “marketplace content,” “search ads,” and “search ad carousels,” prompting speculation that OpenAI might be preparing to roll out an advertising system to the public.
Addressing the circulating claims that ChatGPT is “about to add ads,” Nick Turley later posted a direct rebuttal. He emphasized that no internal testing of advertising functionality is underway and stated bluntly that any screenshots circulating online “are either fake or not advertisements at all.”
Yet Turley stopped short of completely ruling out the possibility. He added that should OpenAI ever decide to introduce ads, the company would act with exceptional prudence: “People trust ChatGPT, and anything we build will be designed to respect that trust.” His words implicitly acknowledge that advertising is not off the table — only that, if pursued, it would be implemented with extreme care.
Given ChatGPT’s scale, OpenAI certainly possesses a formidable foundation for an advertising business. Current data shows that ChatGPT now has roughly 800 million weekly active users. Research supported by OpenAI further estimates that by July of this year, 700 million users will send as many as 18 billion messages weekly. Analysts project monthly traffic at 5 to 6 billion visits.
Experts note that if OpenAI chooses to leverage this immense volume of conversational data, it could deliver highly personalized, precision-targeted ads — recommending products users genuinely care about — or adopt a model akin to Google Search ads, embedding promotional content within search results.
Against the backdrop of soaring compute costs, advertising may ultimately become the necessary “lesser evil” that enables long-term sustainability for AI services beyond subscription revenue alone.
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