Majority of Advertisers See Real Returns from Agentic AI, Yet Major Opportunity Remains Untapped
A comprehensive new study has revealed a striking disconnect in the advertising technology landscape: while 76% of advertisers are experiencing measurable performance gains from agentic AI solutions, these benefits remain heavily concentrated on search and social platforms. More significantly, the research indicates that 86% of advertisers would be willing to allocate up to 25% of their total advertising budget to the open web if comparable agentic AI capabilities were available beyond the walled gardens of major platforms. This gap between current adoption and latent demand suggests a substantial market opportunity for technology providers willing to solve the integration challenges that currently plague the industry.
The findings emerge at a critical juncture for the advertising technology sector, as artificial intelligence increasingly shapes how brands allocate billions in marketing spend. Taboola, a leading open web advertising platform, has announced its Realize+ agentic solution specifically designed to address this gap and enable advertisers to extend their agentic AI capabilities beyond search and social channels.
The Performance Gains and the Integration Challenge
The research paints a nuanced picture of agentic AI adoption across the advertising industry:
- 76% of advertisers report performance improvements from agentic AI implementations
- 86% express willingness to allocate up to one-quarter of budgets to open web with adequate solutions
- 74% of companies spending $1M-$4.9M monthly cite integration complexity as a significant barrier
- Current agentic AI benefits remain concentrated on search and social platforms
The integration challenge represents perhaps the most significant hurdle to broader adoption. Large advertisers—the most sophisticated and well-resourced segment of the market—are disproportionately affected by technical complexity. Companies operating at scale with budgets in the $1M-$4.9M monthly range face substantial operational friction when attempting to deploy agentic AI solutions across multiple channels. This creates a paradox: the advertisers most capable of benefiting from advanced AI capabilities are also those most constrained by implementation difficulties.
For context, advertisers in this spending tier represent a substantial portion of the digital advertising market, making the 74% integration complaint rate particularly consequential. These are not small or unsophisticated players struggling with basic deployment; they are established brands with dedicated marketing technology teams encountering structural barriers that even experienced operators cannot easily overcome.
Market Context: The Open Web's AI-Driven Renaissance
Understanding the significance of these findings requires examining the broader advertising technology landscape. For years, Google, Meta ($META), and other dominant platforms have leveraged their proprietary data and technological resources to offer increasingly sophisticated ad targeting and optimization capabilities. Search and social platforms have maintained structural advantages in implementing agentic AI—their closed ecosystems provide rich behavioral data, massive inventory volumes, and integrated feedback loops that enable AI systems to learn and optimize rapidly.
The open web—encompassing publisher sites, content networks, and independent digital properties—has historically struggled to compete on sophistication. However, recent advances in agentic AI have created new possibilities for non-walled-garden advertising channels. The fact that 86% of advertisers would redirect meaningful budget allocations if solutions existed suggests deep dissatisfaction with the limitations of search and social dominance, particularly regarding:
- Reach constraints: Search and social cannot reach every consumer segment or intent
- Cost pressures: Saturation in major platforms has driven up effective costs per acquisition
- Brand safety concerns: Publishers increasingly seek alternatives to platform-dependent models
- Privacy regulations: GDPR, CCPA, and similar regulations have eroded the first-party data advantages of major platforms
Taboola's entry with Realize+ signals confidence that the technical barriers to agentic AI implementation on the open web are becoming surmountable. The solution represents an attempt to democratize access to sophisticated AI-driven advertising optimization beyond the major platforms.
Investor Implications: A Shifting Competitive Landscape
These findings carry significant implications for multiple constituencies in the advertising technology ecosystem:
For advertising technology providers: The study suggests a $100+ billion market opportunity if companies can solve the integration challenge. The 86% of advertisers willing to reallocate budgets represents potential share gains from incumbents. Companies successfully delivering open web agentic AI solutions could capture substantial value.
For platform-dependent advertisers: Brands currently over-reliant on search and social face strategic decisions about diversification. The willingness of competitors to explore open web alternatives creates competitive pressure to explore new channels before rivals establish positions.
For major advertising platforms: While $META and Google continue benefiting from 76% of advertisers seeing AI-driven gains, the finding that 86% would shift budgets if alternatives existed signals potential vulnerability. Advertisers are not satisfied with current options despite real performance improvements.
For investment strategists: The advertising technology sector is entering a phase where capabilities that seemed permanently entrenched—platform dominance in AI-driven optimization—may become more commoditized. Technology companies solving integration challenges at scale could command substantial valuations.
The $1M-$4.9M monthly spending segment deserves particular attention for investors, as these are the companies with sufficient budgets to drive meaningful market share migration. A solution that captures even a portion of this segment's willingness to reallocate could represent a significant commercial success.
The Road Ahead: Integration as the Key Battleground
Looking forward, the advertising technology market appears poised for transformation driven by the ability to deliver sophisticated agentic AI capabilities across diverse channels. The current concentration of performance gains in search and social should not be viewed as permanent dominance, but rather as the natural starting point for any new technology.
The 74% integration challenge rate among major advertisers signals that current solutions remain too complex, too fragmented, or insufficiently integrated to serve enterprise needs effectively. Companies that solve this problem—whether through standardized APIs, pre-built integrations, or simplified user interfaces—position themselves to capture value from the 86% of advertisers signaling budget reallocation intent.
For investors monitoring this space, success metrics include not just adoption rates but integration difficulty reduction and time-to-value metrics for enterprise clients. The next wave of advertising technology winners will likely be those who make sophisticated agentic AI accessible to the enterprises currently stuck between seeing performance benefits on search and social while remaining unable to extend those capabilities across the broader digital ecosystem.