PubMatic, Inc.PUBM

PubMatic offers over 20 AI agents on its AgenticOS platform.

“20+ AI agents available on AgenticOS, reduces operational workflows to minutes;”

PubMatic has launched over 30 autonomous agentic advertising campaigns since January 2026.

“• Since launching in January 2026, PubMatic has launched more than 30 fully autonomous, end-to-end campaigns globally. Notably, every participating advertiser has returned to run additional agentic campaigns, reinforcing the strength of performance and operational efficiency.”

PubMatic and Amnet launched an agentic advertising campaign in France using Claude LLM.

“• PubMatic and Amnet launched the first Agentic advertising campaign in France, using the Claude LLM to eliminate manual steps. For client INTERBEV, the autonomous workflow used natural language prompts and cut setup time by 80%.”

PubMatic and Abovo launched an agentic AI advertising campaign in the Netherlands.

“• PubMatic and Abovo Maxlead launched one of the first Agentic AI advertising campaigns in the Netherlands, integrating Abovo’s Mediavision AI with PubMatic’s AgenticOS to optimize CTV. The campaign accelerated time to activation and shifted more spend to working media.”

PubMatic integrated with AdRoll via Model Context Protocol to enable AI agents.

“• Integrated with AdRoll — the first DSP on PubMatic's platform to connect via Model Context Protocol — enabling AI agents on both the demand and supply side to communicate directly, diagnose and resolve issues within minutes.”

PubMatic integrated Creative Engagement Suite into its AgenticOS platform.

“• Integrated Creative Engagement Suite into AgenticOS, giving advertisers like Horizon Media unified access to advanced formats like pause ads and shoppable units alongside agentic optimization across CTV, mobile, and premium inventory like Sling TV.”

PubMatic warns that generative AI, AI agents, and assistants may reduce web traffic and advertising inventory value.

“Generative artificial intelligence technologies, including AI-powered search features, large language model-based assistants, and agentic AI systems, may reduce the volume of user traffic directed to publisher websites by providing direct answers to user queries and bypassing traditional web navigation. As publishers experience traffic declines resulting from AI-mediated content consumption, the volume and value of advertising inventory available on our platform may decrease. This risk is particularly acute for open-web publishers that rely on search-driven and algorithmically distributed traffic to monetize their content through programmatic advertising. Additionally, the emergence of AI agents—autonomous systems that act on behalf of consumers—could further disrupt traditional web browsing behavior and the programmatic advertising ecosystem in ways we cannot fully anticipate. If these shifts reduce advertiser and publisher reliance on programmatic supply-side platforms, we may be unable to develop alternative revenue streams or adapt our platform sufficiently to offset the disruption. Any such development could have a material adverse effect on our business, revenues, and results of operations.”

PubMatic raised its Q1 2026 guidance citing leadership in agentic advertising.

“The Company expects first quarter 2026 revenue to be approximately $62.4 million, with approximately $2.5 million in adjusted EBITDA. These figures exceed PubMatic’s previously-issued first quarter 2026 guidance of $58.0 million to $60.0 million in revenue and $(0.5) to $1.0 million in adjusted EBITDA. These results highlight strong execution across the business and leadership in agentic advertising.”

PubMatic CEO states agentic AI is redefining digital advertising with fast adoption of their AI solutions.

“"Agentic AI is creating a structural shift that is redefining the entire digital advertising market. Our AI solutions are seeing the fastest adoption of any product launch in our history," said Rajeev Goel, co-founder and CEO of PubMatic. "This momentum is creating a unique opportunity to evolve our organization to best serve this transformation."”

PubMatic CEO discussed momentum of AI solutions and agentic advertising.

““ We delivered an exceptional fourth quarter, highlighted by strong growth across CTV, Activate, and our emerging revenue streams, and accelerating momentum of our AI solutions,” said Rajeev Goel, co-founder and CEO at PubMatic.“Looking ahead, agentic advertising is an incremental tailwind and a defining advantage for PubMatic. It improves advertiser performance, expands our addressable market, and increases the flow of advertising budgets to the open internet. In just a few short months, customer adoption on AgenticOS has been swift with over 250 deals transacted, many of which are new advertising partners to our platform. We remain focused on driving growth in our underlying business, executing on our key priorities and leading the industry as it shifts to agentic AI.””

PubMatic launched industry-first agentic AI campaign.

“AI Platform Powers Industry-First Agentic AI Campaign and Customer Adoption”

PubMatic launched first fully autonomous end-to-end agentic campaign across CTV.

“• Launched the first fully autonomous, end-to-end agentic campaign across CTV, delivering more than 5x cost efficiencies and an increase in working media dollars.”

PubMatic launched AgenticOS for agent-to-agent advertising with over 250 deals.

“• In January, launched AgenticOS, PubMatic’s operating system for agent-to-agent advertising. Over 250 agentic deals have been transacted on PubMatic, many of which represent new and incremental advertisers to PubMatic.”

PubMatic launched Agentic AI Accelerator Program with nearly 100 applicants.

“• Launched Agentic AI Accelerator Program enabling advertisers, agencies, publishers, and partners to adopt PubMatic’s AI solutions within weeks; almost 100 brands, agencies and streamers have applied to join the program, many of which represent new and incremental advertisers to PubMatic.”

PubMatic added over 20 operational AI agents to automate workflows.

“• Over 20 operational AI agents added to automate workflows, increase productivity and deliver improved campaign performance for media buyers and publishers.”

PubMatic states its AI-powered agentic buyer and publisher platforms provide agentic workflows and is deploying AI via products like Intelligent Yield.

“Our AI-powered agentic buyer and publisher platforms provide agentic workflows that we believe drive significant operational efficiencies during discovery, planning, and activation phases. In addition, we believe through products like Intelligent Yield and AI Insights demonstrate that we are deploying AI in a manner that improves speed, performance, and outcomes faster than many of our competitors.”

PubMatic believes incorporating agentic AI into products will encourage platform use but faces risks if unable to expand channels.

“Historically, our buyers have predominantly used our platform to purchase mobile, display, and video advertising inventory from our publishers. We expect that these will continue to be significant channels used by our customers for digital advertising in the future. We also believe that our revenue growth may depend on our ability to expand within mobile, video, and in particular, CTV, and we are continuing to enhance such channels. We believe our ability to incorporate Artificial Intelligence, or “AI”, and specifically agentic AI, into our new and existing products will also be a key factor to encourage expanded use of our platform. We may not be able to accurately predict changes in overall advertiser demand for the channels in which we operate and cannot assure you that our investment in formats will correspond to any such changes or shifts in demand. Any decrease in the use of mobile, display, and video advertising, whether due to customers losing confidence in the value or effectiveness of such channels, regulatory restrictions or other causes, or any inability to further penetrate CTV or enter new and emerging advertising channels, could adversely affect our business, results of operations, and financial condition.”

PubMatic has embedded machine learning, generative AI, and agentic workflows in core operations and commercial offerings.

“Our business has evolved from a traditional programmatic advertising exchange toward an AI-powered platform in which machine learning algorithms, generative AI, and agentic workflows are increasingly embedded in our core operations and commercial offerings. We describe ourselves as an “AI-powered advertising technology company” and have made AI a central element of our competitive positioning and growth strategy. Our AI capabilities now influence or automate a range of functions that affect customer outcomes, including real-time bid pricing, yield optimization through products such as Intelligent Yield, fraud detection, traffic shaping, demand allocation, and the planning and activation workflows available through our buyer and publisher platforms. While our revenue is not yet heavily dependent on AI-specific products, we expect AI to become an increasingly material contributor to our platform's value proposition, competitive differentiation, and revenue over time.”

PubMatic risks that AI investments in Intelligent Yield, AI Insights, and agentic workflows may not achieve expected adoption or returns.

“Our investments in AI may not produce the competitive advantages we expect. We have committed meaningful engineering and infrastructure resources to AI product development, including Intelligent Yield, AI Insights, and agentic workflow capabilities. These investments may not achieve the adoption, performance, or margin contribution we anticipate, and may divert resources from other product development priorities that could have generated more immediate returns. The transition from a primarily transaction-processing business model to one in which AI-powered capabilities are a principal driver of competitive differentiation also introduces operational complexity and execution risk. Maintaining, updating, and scaling AI models requires specialized engineering talent and infrastructure capabilities, including access to GPU and other accelerated computing resources that are subject to market constraints and rising demand across industries. Our historical operating results, which were generated in a period when our business was primarily defined by programmatic header bidding and auction exchange services, may be of limited value in predicting our future performance as AI-driven products and workflows become a larger component of our business.”

PubMatic discusses risks from emerging agentic buying by advertisers that may disrupt demand patterns and increase pricing pressure.

“The anticipated emergence of agentic buying, in which advertisers and agencies deploy AI agents to plan, negotiate, and execute media purchases with reduced human oversight, may also disrupt established demand patterns over time. While adoption of agentic buying remains in early stages across the industry, and we are actively investing in capabilities and industry standards to support it, including contributing to the development of the IAB Tech Lab’s Ad Creative Protocol (“AdCP”), there is no assurance that these efforts will position us favorably as AI-driven buying matures. AI buying agents, once widely deployed, may optimize spend toward platforms or inventory sources that offer the lowest cost or highest predicted performance, which could increase pricing pressure and diminish the value of our existing customer relationships and SPO agreements. These agents may prioritize direct publisher integrations, closed-loop measurement environments, or alternative transaction protocols over traditional SSP intermediation. The standards governing agent-based advertising transactions are still being defined and may evolve in ways that do not favor our platform architecture or business model.”

PubMatic launched an AI-powered publisher platform that includes 17 operational AI agents.

“• Launched AI-powered publisher platform, putting publishers back in control of their yield, data, and demand. The unified platform combines three core capabilities that directly impact publisher bottom lines: automated revenue optimization, first-party data monetization, and direct access to high-value media budgets. The publisher suite also includes 17 operational AI agents guiding yield, diagnostics and creative set up.”

PubMatic launched predictive diagnostics using agentic AI workflows to improve publisher monetization.

“• Launched predictive diagnostics to detect yield anomalies in real time and surface optimization opportunities via agentic AI workflows to improve publisher monetization with less manual effort.”