Observed Signal · Mar 3, 2026 · Product Launch · Source: https://martechseries.com/feed/ · Impact: 3/5 · Sentiment: Positive
AI Insights Revolutionize Ad Tech: PubMatic's Vision Unveiled
Punit Shah, Director of Product Marketing at PubMatic, discusses the company’s focus on AI-driven analytics and agentic workflows in advertising infrastructure. Shah describes PubMatic’s recent AI Insights launch, which restructures signals to enable reasoning across data, real-time benchmarking, demand-shift detection and surfacing next-best actions inside workflows. He outlines how agentic AI can improve decision quality for publishers and buyers, gives an election-cycle example where AI benchmarking aids pricing and packaging, and predicts CTV will evolve into performance-grade programmatic media by 2026 through AI optimization, outcome-based evaluation, and intelligent curation. Shah advises publishers to build structured data foundations, operationalize transparency, and adopt AI with intent. The interview frames AI as architectural — reducing reporting friction, amplifying intelligence, and reshaping market design when built on governed, structured data.
PubMatic (an established adtech vendor/SSP) launched an AI-driven analytics product emphasizing agentic workflows and data structuring; this affects publisher yield, programmatic decision quality, and CTV optimization but is not a platform-level policy change from a dominant OS vendor.
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Key Takeaways & Evidence Grounding
- Punit Shah is Director of Product Marketing at PubMatic and has over 15 years of experience across strategy, analytics, and digital platforms.
- PubMatic launched an AI-driven product called AI Insights that structures signals for cross-signal reasoning, real-time benchmarking, demand-shift detection, and surfacing next-best actions.
- PubMatic is focusing on 'agentic AI' and agentic workflows that move beyond static automation to contextual reasoning supporting publisher and buyer decision-making.
- Shah forecasts three forces shaping CTV by 2026: AI-driven optimization of CTV supply, outcome-based campaign evaluation, and intelligent curation of inventory.
- He recommends publishers prioritize structured data foundations, operationalized transparency, and intentional adoption of AI-assisted reasoning.
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PubMatic CEO Rajeev Goel on Agentic Buying and Cutting Complexity
In an interview with ExchangeWire, PubMatic CEO Rajeev Goel discussed the company's evolution from an SSP to a broader platform, focusing on reducing ad tech complexity and empowering publishers and advertisers through agentic buying. Goel highlighted three pillars: Activate, for direct buyer-SSP transactions; Agentic OS, a suite of 20+ AI agents; and Decision Fabric, which allows agencies and DSPs to run algorithms within PubMatic's infrastructure. He emphasized that AI agents will surpass human traders in accuracy, with governance and reasoning mechanisms for oversight. Goel predicts that agent-to-agent buying will shift power to publishers and advertisers, the 'principals', rather than technology platforms. The company reported 4,000 publisher-created deals using AI year-to-date through Q2.
PubMatic and NVIDIA Revolutionize AdTech with Lightning-Fast AI
PubMatic announced the results of a multi-year integration with NVIDIA to accelerate AI processing for open internet programmatic advertising. The collaboration delivers AI processing up to five times faster than traditional systems and reduces inference latency to about 1 millisecond, cutting auction timeouts by 85% and boosting ROI for publishers and advertisers. The initiative utilizes NVIDIA L40S GPUs for real-time decisioning across connected TV, Triton Inference Server for serving ad requests to DSPs, and RAPIDS Accelerator for Apache Spark for faster analytics. PubMatic’s AI-enabled cloud infrastructure provides real-time insights, twice-as-fast live campaign processing, and a 30% reduction in energy consumption. In 2025, PubMatic launched AI-powered platforms for buyers and publishers with generative and agentic AI, including an open spec for agent-to-agent communication and generative AI deal management that reduces deal creation time by 87%.
PubMatic Deploys AI Agents to Simplify Programmatic Buying
PubMatic is deploying a network of AI agents, via its AgenticOS infrastructure (built with NVIDIA) and its Activate buying platform, to automate planning, execution and optimization of programmatic media campaigns. The rollout is part of a partnership with Untapped Growth, a collective of 20 independent agencies, which allows agencies to input campaign preferences and access negotiated commercial terms. PubMatic says AgenticOS replaces manual DSP/SSP orchestration with specialized bots for tasks such as audience discovery and execution; early tests reportedly showed an 82% reduction in buy-side costs and nearly a 90% reduction in campaign setup time for one agency. Two Untapped Growth agencies are expected to go live shortly, while others are testing the system and exploring direct LLM-driven execution (e.g., via Claude) that can bypass traditional DSP layers.
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