Observed Signal · May 18, 2026 · Market Research / Study · Source: Adzine · Impact: 3/5 · Sentiment: Positive
Advertisers See Agentic AI Potential in Open Web
A Taboola study surveying 200 senior performance marketing decision‑makers in the USA and UK (May 2026) finds strong advertiser interest in applying agentic AI outside major walled gardens. Respondents — responsible for monthly ad budgets up to $4.9M — reported measurable performance gains from AI but said those gains are concentrated on Search and Social. Many advertisers signalled willingness to reallocate budgets to the Open Web if comparable agentic‑AI solutions existed: 86% would move up to a quarter of performance budgets, 80% would immediately increase spend given suitable solutions, and 82% see AI-driven goal‑based buying in the Open Web as a growth opportunity. Integration into existing workflows is cited as a primary barrier, disproportionately affecting larger spenders. Taboola CEO Adam Singolda is quoted describing demand for autonomous, continuously learning systems for Open Web performance.
Study reveals significant advertiser interest and potential budget shifts toward agentic AI solutions in the Open Web, indicating commercially relevant demand that could affect Open Web adtech vendors and programmatic strategies.
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Key Takeaways & Evidence Grounding
- Taboola commissioned a survey of 200 senior performance marketing decision‑makers in the USA and UK in May 2026.
- Respondents manage monthly advertising budgets of up to $4.9 million.
- 76% of respondents reported clear performance improvements from AI‑powered solutions.
- 86% said they would shift up to 25% of their performance budgets to the Open Web if comparable technologies were available.
- Integration into existing workflows is a major hurdle: 9% of companies with $300k–$499k monthly spend cited integration problems versus 74% for companies with $1M–$4.9M monthly spend.
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Related Market Signals & Shifts
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Agentic AI for the Open Web: Potential, but Scaling Stalls
An industry analysis of 200 marketing leaders (mostly at enterprises with >1,000 employees) finds strong belief but slow adoption of agentic AI on the open web: 82% see it as a growth opportunity, yet just 17% have scaled it as a proven performance driver. The main barrier is operational integration — fitting agentic systems into existing workflows, approval chains, reporting and attribution — rather than budget or technology skepticism. While Google and Meta have embedded agentic capabilities into closed ecosystems, emerging vendors are extending comparable automation to publisher inventory outside walled gardens. Early adopters that treat agentic AI as an operational transformation are gaining a first-mover competitive lead, with high paid-search and paid-social budgets driving interest in open-web expansion.
Agentic AI Promises Smarter Advertising Ecosystem
An ADWEEK House Cannes Lions group chat co-hosted with Taboola explored how agentic AI is moving performance marketing from automation toward autonomous decision-making. Panelists from Taboola, NVIDIA, Omnicom Media/Acxiom, Accenture Song Americas, Paramount Advertising and Proem said agentic systems can routinize planning, optimization and even transactions, but successful adoption requires governance, transparency, documented workflows, high-quality data and interoperable AI tool ecosystems rather than a single platform. Speakers emphasized the need for explainability and undo controls to build trust, and investors and marketers will soon demand measurable ROI from AI pilots. Taboola said it currently has customers in beta testing and hopes to scale next year.
AI Revolutionizes Digital Ads: Publishers Face New Challenges
Publicis' Performics executive Rob Georgeson surveys AI’s reshaping of the digital advertising environment, noting publishers’ dwindling traffic and a shrinking pool of open web ad inventory as AI-powered answer engines alter information discovery. The piece argues that search may pivot from traditional links to concise AI-generated responses, reducing pageviews and ad impressions for publishers. Industry data cited include about 58% of informational Google queries ending without a click to a non-Google property, signaling a zero-click trend that could accelerate with AI summaries in search experiences. Publishers are testing new monetization models, though widespread adoption is uncertain, while advertisers face tighter inventory and higher competition for premium placements. Amid this disruption, the narrative promotes diversification and quality environments, including Publicis’ Connected Identity approach to blend data with direct access to growth channels. It also highlights Substack’s funding and ad approach, Uber’s rising ad revenue, and the rollout of ads within AI answers by Google and Copilot by Microsoft.
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