Is ChatGPT’s role in AI advertising smaller than expected? What new forecasts reveal

A new EMARKETER forecast projects that US spending on AI-related advertising will rise from around $32 billion in 2026 to approximately $68 billion by 2030. However, the report indicates that most of this growth will not be driven by chatbot platforms such as ChatGPT, Microsoft Copilot or Google Gemini.

Instead, more than 80% of total AI ad spend is expected to flow into search-adjacent formats, including ads placed alongside AI-generated search results and traditional keyword search systems enhanced with AI features.

Chatbot advertising faces structural limits

The report suggests that AI chatbot advertising remains the smallest segment of the emerging market, with a projected US ceiling of just over $5 billion by 2030. This is significantly lower than earlier industry expectations that placed chatbot monetisation far higher.

EMARKETER attributes this to structural constraints, including limited space for ads within conversational interfaces, falling CPM rates as pilot programmes scale, and fragmented user behaviour across multiple AI tools rather than a single dominant chatbot platform.

Marketer confidence remains cautious

Industry surveys show that while AI tools are increasingly integrated into marketing workflows, confidence in AI-native advertising remains limited. Many marketers describe AI advertising systems as “black box” environments due to concerns over transparency, measurement, and control.

To stimulate adoption, ad tech firms have begun lowering entry barriers, including reduced minimum investment thresholds for early AI advertising pilots and incentive-based matching programmes designed to encourage experimentation.

Retail media and social commerce gain ground

Retail and social commerce channels continue to attract clearer and more structured budget allocations. TikTok Shop, in particular, is increasingly appearing as a standalone line item in agency requests for proposals, signalling its shift from experimental channel to core commerce media platform.

Brands reporting strong transaction growth on TikTok Shop have prompted agencies to formally integrate it alongside established retail media ecosystems such as Amazon and Walmart.

Privacy enforcement tightens data use rules

Regulatory scrutiny in Europe has reinforced concerns over how customer data is used in advertising. A major Nordic retailer was fined under GDPR for consent practices in its loyalty programme, where users were not given granular control over how their data was processed.

Authorities also raised concerns about the use of loyalty programme data for customer matching in advertising systems without clear legal justification or proper purpose limitation assessments.

Search ecosystem continues to evolve under AI pressure

Google and Microsoft have both introduced updates affecting AI-driven search and advertising systems. Google has expanded AI-related performance reporting across search and shopping, while clarifying that experimental AI Mode features will not replace traditional search defaults.

Google also updated SEO guidance to caution against unverified optimisation claims tied to AI search visibility. Microsoft, meanwhile, has updated campaign tracking and attribution systems to improve segmentation of performance data across different ad formats.

While AI is accelerating change across digital advertising, current forecasts suggest that growth is concentrating in search-integrated and commerce-driven environments rather than standalone chatbot platforms.

The gap between earlier expectations and current projections is now influencing how advertisers, platforms, and regulators are positioning themselves in the evolving AI advertising ecosystem.