For more than a decade, digital advertising has been dominated by a handful of platforms. Google built a multibillion-dollar business around search, Meta turned social engagement into an advertising engine, and Amazon expanded advertising around online shopping. Now, the growth of generative AI is creating another category of digital interaction, prompting developers and advertisers to explore how conversational experiences could support a new advertising market.
The shift comes as AI applications face a practical challenge: turning growing usage into sustainable revenue. Subscriptions remain one option, but advertising could offer another way to monetize free users while giving brands access to audiences expressing specific needs through conversations.
Digital Advertising Continues to Expand
The market remains substantial. U.S. internet advertising revenue reached $294.6 billion in 2025, a 13.9% increase from the previous year, according to the Interactive Advertising Bureau and PwC. Moreover, social media advertising generated $117.7 billion, while commerce media reached $63.4 billion, up 18% year over year. The figures show how digital advertising has expanded beyond traditional search into platforms and environments that connect consumer engagement with purchasing decisions.
A Growing Market With Room for New Models
Despite the dominance of established platforms, advertising continues to evolve as consumer behavior changes. Research firm EMARKETER projected that Meta would overtake Google in worldwide digital advertising revenue in 2026, forecasting $243.46 billion for Meta and $239.54 billion for Google. Their scale underscores the challenge facing new entrants competing for conventional search and social advertising budgets.
Rather than replicating existing formats, emerging platforms are exploring ways to reach consumers in different digital environments. Conversational AI is one such opportunity, with interactions potentially providing signals about what users need and when they are ready to consider a product or service.
Turning Conversations Into Advertising Opportunities
A user asking an AI assistant to compare software tools or recommend a product provides a more immediate indication of intent than a general page view. That information could help advertisers present relevant offers at the point when a need emerges.
The model also creates technical challenges. Advertising systems need to interpret conversational context, match it with suitable advertisers, generate relevant creative, and deliver sponsored content without disrupting the user experience. Privacy is another consideration, particularly when people share sensitive information with AI assistants.
For developers, the potential benefit is an additional revenue stream that complements subscriptions and in-app purchases. For advertisers, conversational placements could create access to audiences and interactions that traditional advertising formats do not fully address.
Velocity Builds a Monetization Layer for AI
One company developing infrastructure for this market is Velocity, an AI-native monetization and distribution platform designed to connect advertisers with real-time, intent-driven audiences while helping AI developers generate revenue.
Velocity’s platform turns user messages into creative briefs, analyzes conversational intent, matches relevant advertisers, and generates tailored advertisements for delivery within the conversation. Its AI publisher offering targets developers looking to monetize AI assistants, specialized agents, and other AI-powered experiences without relying exclusively on subscriptions.
The approach reflects a developing segment of advertising technology focused on monetizing interactions rather than simply buying space around content. Its commercial success will depend on whether developers can generate meaningful revenue while maintaining user trust and delivering measurable results for advertisers.
Balancing Revenue and User Experience
Consumer acceptance will be an important factor. Advertising can help subsidize free digital services, but poorly placed or overly personalized promotions risk undermining the experience that brings users to an AI product in the first place.
That means sponsored content must be clearly identifiable, relevant to the conversation, and supported by appropriate privacy safeguards. Developers will also need to determine which formats work best for different applications, from productivity assistants to shopping tools and specialized AI agents.
For companies exploring this model, the challenge is not simply adding advertisements to conversational interfaces. It is building the infrastructure, demand relationships, and measurement capabilities needed to make monetization commercially viable.
A New Channel for Advertisers
Google and Meta are likely to remain central to digital advertising, but their dominance does not preclude the emergence of additional channels. As AI applications become more widely used, the conversations taking place within them could create new opportunities for advertisers and developers alike.
Platforms such as Velocity are positioning themselves to serve that market by connecting conversational intent with advertising demand. Whether the category becomes a significant source of industry growth will depend on adoption, performance, and the ability to integrate advertising without compromising the value of AI experiences.
