AI INFRASTRUCTURE

AI Agents Set to Revolutionise Advertising Operations by 2026

A report from Star reveals how AI agents could streamline advertising operations by 2026, while highlighting the industry's cautious approach towards full automation.

AI Agents Set to Revolutionise Advertising Operations by 2026
CoinSynaptic Desk
AI INFRASTRUCTURE · Correspondent
· PUBLISHED MAY 21, 2026 · 3 MIN READ

A recent report from global technology consultancy Star forecasts that AI agents will significantly alter how advertising operations function by 2026. The document, titled "Understanding Multi-Agent Media Operations," outlines a transition from traditional automation systems to advanced AI agents capable of managing more complex tasks across campaigns.

The report highlights that repetitive operational work is becoming a prime target for AI integration. Historically, agencies have depended on fixed-rule automation, which has its limitations. The emergence of AI agents indicates a shift toward solutions that can adapt, make recommendations, and execute tasks that typically require collaboration among various teams.

Sergii Gorpynich, CTO and co-founder of Star, emphasizes that introducing AI agents goes beyond simple software upgrades. "Adding AI agents isn’t just another software update. It’s about building systems that understand context and can complete multi-step tasks that used to be split across different teams and tools," he stated. This perspective underscores a fundamental shift in how advertising operations are expected to evolve.

The report identifies several trends indicative of this transformation. For instance, agencies are beginning to transition from basic automation to more sophisticated AI-assisted campaign operations. This shift suggests a recognition of AI’s potential to enhance efficiency and effectiveness in advertising strategies.

Additionally, companies are taking a cautious approach by initiating smaller AI deployments before scaling operations. This gradual implementation allows organizations to test the waters with AI technology while addressing concerns about reliability and trustworthiness. Gorpynich notes that, "The industry simply does not trust fully autonomous systems yet. Right now, AI acts more like an operational assistant. It can suggest optimizations or flag issues, but most agencies still want humans approving major decisions."

See also  Upwind Unveils AI Agentic Pack to Enhance Cloud Security Operations

Challenges Ahead

Despite the promising outlook, the report highlights significant challenges facing the industry. One primary obstacle is the integration of various systems across advertising, which often struggle to communicate with one another. Effective collaboration between disparate tools remains a hurdle that agencies must overcome to fully utilize the capabilities of AI agents.

While the report presents an optimistic view of how AI could reshape advertising, the current reality reflects a careful balancing act. Agencies are eager to adopt innovations that streamline operations but remain cautious about relinquishing control to AI systems. This cautious optimism suggests that while AI has the potential to transform advertising operations, human oversight will remain a critical component for the foreseeable future.

As the industry continues to explore AI capabilities, the focus will likely shift toward creating systems that not only assist but can also integrate seamlessly with existing workflows. In this context, the role of AI agents will evolve, potentially leading to greater efficiencies and more creative advertising solutions.

The future of advertising operations appears to rely on reconciling the benefits of AI with the need for human insight and validation. As companies navigate this landscape, the coming years will be crucial in determining how AI agents can be effectively implemented in adtech.

Quick answers

What are AI agents expected to do in advertising?

AI agents are anticipated to handle repetitive tasks, suggest optimisations, and streamline campaign operations.

Agencies are moving towards AI-assisted operations and starting with smaller deployments before scaling.

CoinSynaptic Desk

AI Infrastructure · 2,128 stories

CoinSynaptic Desk covers the intersection of artificial intelligence and decentralized networks — frontier AI infrastructure, crypto-native AI agents, Bittensor subnets, DePIN economies, and tokenized compute.

THE DAILY SIGNAL

The stories that move AI & crypto markets — before the market reacts.

Free. 7am ET. Five stories. 62,400 readers.