What is AI-Powered Media Buying?
AI-powered media buying leverages machine learning and automation to strategically plan, purchase, and optimize advertising across digital channels. Instead of relying on manual audience targeting, bid management, and creative selection, AI systems analyze extensive campaign data in real-time to make informed, data-driven choices.
These innovative tools encompass platform-native solutions such as Meta’s Advantage+ Shopping Campaigns and Google’s Performance Max, as well as open web options like The Trade Desk’s Koa and Criteo’s Commerce Max. This technology serves as a “force multiplier” for agencies, enabling them to uncover insights without the need for manual data analysis, as stated by AdLib CEO Mike Hauptman. Additionally, AI reduces entry barriers for smaller advertisers who historically faced challenges in accessing impactful channels.
How Are Major Ad Platforms Using AI to Automate Buying?
Leading advertising platforms have introduced AI-powered buying solutions that automate targeting, creative, and optimization within a unified workflow, according to EMARKETER. This rapidly evolving landscape presents several milestones:
- Google Performance Max was introduced in November 2021 as the pioneer in comprehensive AI buying.
- Meta Advantage+ Shopping Campaigns launched in 2022.
- Amazon Performance+ and Pinterest Performance+ debuted in 2024.
- TikTok Smart+ and LinkedIn Accelerate formally launched in October 2024.
Open web platforms have also embraced this trend. Tools such as Taboola’s Maximize Conversions, Criteo’s Commerce Max, and The Trade Desk’s Koa automate bidding and creative optimization while allowing buyers the final say on transactions. These innovations have helped platforms mitigate revenue losses associated with privacy-related signal reductions. While advertisers appreciate the improved performance, many express concerns about limited transparency.
What Are the Key Barriers to AI Adoption in Media Buying?
Despite the increasing adoption of AI technology, several barriers persist. Among US advertising professionals, 62% cite setup and maintenance complexity as a significant hurdle in implementing AI for media campaigns, according to EMARKETER. Other challenges identified in the survey include:
- 62% express concerns about data security risks.
- 61% report inadequate understanding of AI technologies.
- 60% worry about the lack of transparency in decision-making.
This situation creates a paradox: while AI promises increased efficiency, the sophisticated tools require a level of technical expertise and organizational readiness that many teams do not possess. As Mike Hauptman, CEO of AdLib, noted, “Delegating everything to AI and simply saying ‘go’ places the onus on the brand and advertiser to ensure success. There is immense value to be gained, but that reality is still on the horizon.”
How Is AI Changing the Role of Media Buyers and Agencies?
AI is transforming the role of media buyers from manual executors to strategic overseers.
As Hauptman remarked, “Tasks that used to take a week can now be completed in five minutes or less.” Activities like data analysis, anomaly detection, and performance reporting are becoming increasingly automated, allowing buyers to redirect their focus towards strategy and creative direction.
Agencies are also adapting to this shift. A March 2025 survey cited by EMARKETER reveals that 81.3% of senior agency professionals around the globe anticipate AI will influence the future of digital advertising over the next decade. This shift indicates that a competitive edge will increasingly favor teams that can interpret, direct, and validate AI outputs rather than those that rely solely on traditional manual buying skills.
What Is Agentic AI and How Will It Affect Programmatic Advertising?
Agentic AI refers to systems capable of independent decision-making, goal-oriented behavior, and the execution of complex tasks without ongoing human intervention. In the realm of programmatic advertising, agentic AI symbolizes the next step forward beyond current generative AI tools, with the potential to automate end-to-end campaign workflows, according to EMARKETER.
New protocols are facilitating this shift. Initiatives like the Unified Context Protocol (UCP), Advertising Context Protocol (AdCP), and Agentic RTB Framework (ARTF) provide a common framework for AI agents to communicate and collaborate. Pilot programs are already underway: Butler/Till is testing a media activation agent with Scope3, aiming for a 40% reduction in media plan execution costs, as reported by Digiday. Although fully autonomous systems may not be realized by 2026, processes like performance reporting and customer journey management are poised to be among the first to achieve full automation.
How Are Agency Holding Companies Investing in AI for Media?
The largest holding companies are in a race to develop AI capabilities through acquisitions and partnerships:
- Publicis Groupe acquired content intelligence firm AdgeAI in March 2026 and data-management company Lotame in 2025 to enhance its CoreAI platform.
- Omnicom completed its acquisition of IPG in late 2025, positioning itself as the top holding company by revenue. Its enterprise generative AI framework is central to its service offerings, with all teams accessing the Omni intelligence platform.
- WPP acquired clean room provider InfoSum and struck a five-year partnership with Google AI to enhance its Open Intelligence platform.
This consolidation reflects a strategic wager that AI-driven predictive capabilities will distinguish agencies as clients increasingly explore in-housing and self-serve platforms.
What Transparency and Brand Safety Concerns Does AI Media Buying Raise?
AI media buying introduces a tension between performance improvements and advertiser control. Tools like Advantage+ and Performance Max yield better outcomes but often obscure visibility into targeting decisions and inventory choices. Brands have voiced concerns regarding this transparency deficit and the limited insights gleaned from AI-managed campaigns, as reported by EMARKETER.
The risks are palpable. About 70% of marketers have encountered at least one AI-related incident in their advertising efforts, including hallucinations, biased content, and off-brand messages, according to the Interactive Advertising Bureau (IAB). Additionally, 40% had to pause or remove advertisements due to issues related to AI. However, governance remains a challenge: only 6% believe existing safeguards are adequate, and 14% report no designated responsibility for AI governance. In response, the IAB launched its first AI Transparency and Disclosure Framework in January 2026 to tackle these issues.
How Should Marketers Evaluate AI-Powered Media Buying Tools in 2026?
When assessing AI-powered media buying tools, marketers should weigh performance potential against operational readiness across four critical areas:
Begin with channels where established performance benchmarks exist to measure the incremental benefits of AI-driven approaches against known baselines.
EMARKETER forecast data was accurate at the time of publication and may have changed. EMARKETER clients can access updated forecast data. To explore EMARKETER solutions, click here.
This article reflects thorough research and insights into the evolving landscape of media buying.
