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Ad TechIndustry TrendAugust 26, 2026

Future plc VP warns agentic AI ad buying threatens programmatic scale

Future plc VP warns agentic AI ad buying threatens programmatic scale
Beet.TV

Future plc executive Kai Hsing discusses the potential for agentic AI to disrupt programmatic advertising by shifting workflows toward direct transactions and challenging traditional economies of scale. The publisher is responding to this shift by deploying its Helix AI engine and adopting new IAB Tech Lab protocols to optimize high-intent audience targeting.

Key Takeaways

  • IAB Tech Lab is developing ARTF and Agentic Advertising Management Protocols to standardize interoperable agent-to-agent trading.
  • Future plc launched Helix in March 2026, using predictive AI to achieve double-digit click-through rate increases in early trials.
  • U.S. programmatic ad spending is projected to exceed $200 billion in 2026, accounting for 92.6% of total display spend.
  • Industry data shows 96% of buyers are aware of agentic workflows, with two-thirds already utilizing them for campaign execution.

Why It Matters

The shift toward autonomous agents threatens the intermediary-heavy programmatic stack, potentially forcing a return to direct-sold models that bypass traditional supply-side efficiencies. For the streaming and digital media ecosystem, this transition prioritizes publishers with high-intent first-party data and established content authority, as LLMs increasingly cite trusted sources to influence consumer decisions. As power potentially consolidates among platforms capable of hosting these agents, the industry must navigate the tension between democratized distribution and new forms of technical gatekeeping. Watch for the adoption rate of IAB Tech Lab’s Agentic Audiences framework as a signal for how quickly automated negotiation becomes the new baseline for media transactions.

Additional Context

IAB Tech Lab has moved quickly to establish standards for agentic AI ad buying, releasing its Agentic Audiences framework and Agentic Advertising Management Protocols as foundational specifications for automated media transactions. In May 2026, Google published new documentation on optimizing websites for generative AI features in Search, emphasizing non-commodity content and agent-friendly structures, signaling that platform-level changes are already reshaping how publishers must prepare their inventory for AI-mediated discovery. Google also updated its spam policies to explicitly prohibit attempts to manipulate generative AI responses in Search, creating a compliance layer that publishers like Future plc must navigate as they optimize for LLM-driven traffic.

Akamai entered this space in August 2026 with AI Brand Presence, a product that translates website content for LLM search and AI agents while monitoring bot activity. The company reported a 300% annual increase in AI bot traffic and cited studies finding that nearly 60% of searches now end without a click, data that directly supports Kai Hsing's warning about eroding programmatic scale. Akamai piloted the technology on its own website, achieving an 85% increase in citations and a 364% surge in brand presence for general searches where the brand was not mentioned by name. These figures illustrate the magnitude of the shift publishers face as AI intermediaries replace traditional click-through funnels.

The technical infrastructure supporting agentic AI ad buying is maturing across multiple layers. Deepgram integrated its real-time voice AI endpoints with Amazon SageMaker, enabling sub-second latency processing inside customer VPCs, a pattern relevant to publishers building real-time audience signals for agent-driven negotiations. Meanwhile, SpaceXAI confirmed it will deploy NVIDIA Vera CPUs for agentic AI workloads, underscoring the hardware investment required to support autonomous agent systems at scale. For Future plc and other publishers deploying Helix-class AI engines, the convergence of edge optimization tools, cloud-native inference, and standardized protocols from IAB Tech Lab defines the competitive battleground for maintaining relevance in an agent-mediated advertising ecosystem.


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