DV Research: 97% of Marketers Plan to Use AI, but Adoption Across Advertising Workflows Remains Uneven

DoubleVerify’s 2026 Global Insights Report found that 97% of marketers plan to use AI in some aspects of media planning, buying and optimization this year. The report says those broad plans have not yet translated into equally widespread adoption across individual advertising workflows.

Analysis

The investable signal is not the reported intention to use AI; it is whether fragmented adoption creates incremental demand for independent measurement and brand-safety controls. More AI-generated creative, automated placement, and faster campaign changes could increase verification complexity, supporting DoubleVerify if advertisers pay for those controls across workflows. But broad plans are not evidence of paid adoption, higher spend per customer, or pricing power, and the report is company-sponsored. Platforms such as Google and Meta may capture much of the workflow value through bundled, first-party tools, limiting independent vendors’ role. Integral Ad Science is a relevant competitive read-through: evidence of rising verification budgets would likely benefit the category, while platform bundling could pressure both.

Near term, the survey alone is weak grounds for a valuation move. Over the next 1–3 months, monitor DV’s reported revenue growth, customer retention, product adoption and management commentary for measurable AI-related monetization; distinguish new spend from existing customers shifting budgets between products. Over 6–18 months, the key question is whether independent verification remains necessary as automated buying expands, or whether platforms’ closed ecosystems reduce addressable demand. The thesis weakens if adoption claims fail to show up in DV’s operating metrics, or if platform integration and pricing pressure constrain growth. No standalone directional trade is justified by this release.

Key Decisions for Investors

• Treat the report as a watch item, not a buy signal. Reassess DV only when earnings or disclosures connect AI-related demand to paid product adoption, retention, or incremental revenue.
• Track DV alongside Integral Ad Science and platform product changes at Google and Meta. A widening gap between AI adoption claims and independent vendors’ growth would argue against paying for a category-wide AI premium.
• For an existing DV position, use the next earnings update as the catalyst check: look for sustained revenue growth and evidence of monetization across workflows. A slowdown or guidance caution despite strong adoption rhetoric would falsify the upside thesis.