How AI-Driven Targeting Is Fueling a Digital Video Ad Spend Explosion You Can’t Ignore

Digital video is becoming a primary environment for AI, targeting, and outcome accountability, according to the recently released “2026 IAB Digital Video Ad Spend & Strategy Report: Part One.” The report shows a fast-growing market that is more automated and more demanding of precision than ever.

U.S. digital video ad spend will grow 11% year over year and nearly 20% faster than the total ad market, according to the report. For the first time, digital video will account for more than 60% of total TV and video spend, cementing its structural dominance.

The increase in investment naturally leads to evolving expectations. Advertisers at this scale tend to prioritize automation, interoperability, and more consistent outcome measurement. Video has become less about testing and more about supporting ongoing performance goals.

CTV growth shifts from access to advantage

As CTV scales and attracts a broader mix of advertisers, its value is less about availability and more about its ability to deliver precision, efficiency, and measurable outcomes. CTV remains one of the strongest growth engines, expected to rise 11% in 2026, with growth being fueled by three things:

1. The migration of live content, including major sports and tentpole events, from linear TV to streaming environments.
2. Deeper programmatic access to inventory.
3. Improving proof of business outcomes.

At the same time, streaming is no longer only for large advertisers. Small and mid-sized advertisers are entering in significant numbers, with adoption jumping from 60% in 2024 to 85% in 2026, driven by self-service platforms and easier activation. 

Targeting more important than content quality to buyers

The ability to fine-tune targeting is now more important than content quality when it comes to ad spend. 

The importance of targeting increased by 10 points year over year, with small and mid-sized advertisers driving a 23-point rise. These advertisers often operate without the benefit of large, proprietary data sets, which makes reliable targeting in biddable environments more critical. Identity durability, better data integration, and AI-supported audience modeling are now as important as traditional reach and content considerations.

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Agentic AI moves from concept to operating layer

Two-thirds of digital video buyers are already live, testing, or planning to use agentic AI in 2026. Furthermore, most of the remaining buyers are actively evaluating agentic solutions.

Agentic AI is primarily being deployed in areas that reduce friction before dollars are committed. Current and planned AI use cases include:

• Media planning and buying recommendations.
• Inventory discovery and evaluation.
• Creative testing and optimization.
• Pre-planning and brief analysis.
• Performance analysis and outcome insights.

Smaller advertisers are using AI to augment limited internal infrastructure for workflow-related functions. Larger advertisers prioritize AI in inventory discovery to manage fragmentation across PMPs, direct deals, and open auctions. AI use drops when it comes to making decisions that are externally facing and financially binding, signaling that human judgment still anchors final commitments.

Social video’s lead reinforces the AI effect

Social video overtook CTV in total spend in 2025 and is expected to widen that lead in 2026. That is tied to AI-enabled personalization, creative optimization, and measurement capabilities integrated into native platform stacks.

While social video benefits from the ability to test and adjust creative, targeting, and delivery quickly using AI, it is increasingly paired with CTV and treated as a complementary engine rather than a standalone video strategy.

Bottom line

The report points to three key trends in the industry. First is aligning AI investment with workflow needs. Agentic AI is already providing value in areas where teams face scale, complexity, or resource constraints. Next, changing video success metrics to place greater emphasis on validating outcomes. Finally, because of the signal-constrained environment, advertisers prioritize partners that can offer reliable and transparent targeting.

The full report can be found here.