The company identifies risks from uncertain market acceptance and performance of its AI and agentic advertising solutions.
“Market acceptance of AI technologies is uncertain, and we may allocate resources toward technologies or products that do not align with customer needs or achieve market acceptance, or are rapidly rendered obsolete. We may be unsuccessful in product development efforts, or our competitors may use AI technologies more efficiently than we do and develop solutions that reduce the competitiveness of our product offerings. We may also incur significant costs and may not achieve any significant revenue from these new offerings. The performance or suitability of third-party models could change in ways that negatively affect the customer experience, and our reliance on third-party models may also limit our ability to differentiate our offerings or control cost and performance characteristics. Any of these factors could adversely affect our business, reputation, or financial results. In addition, our AI platform-based advertising and monetization solutions may fail to deliver the expected targeted precision, revenue-per-device lift, or advertiser return on investment that we or are customers expect, including due to algorithmic and model behaviors, underlying data changes, and speed in execution. Also, generative- and agentic-driven recommendations and capabilities in both the supply-side platform (“SSP”) and DSP space are early stage, and product fit, user trust and monetization of such recommendations and capabilities are still uncertain. Any such expectation or performance failures ”