Most of what gets written about AI and marketing this year reads like a warning label. Two new reports published this month make the opposite case: AI is unlocking inventory and content opportunities that were previously invisible or undervalued, and there’s now data to prove it. One comes from the video advertising side. The other comes from the creator content side. Together, they answer a question Search Engine Journal readers ask constantly: Why does some content take off organically while perfectly competent brand-led work gets scrolled past?
The Video Inventory Nobody Was Buying
IAB’s new Q2 2026 report on AI-powered video outcomes opens with a number that should bother anyone running video campaigns. When Integral Ad Science and Reuters tested how often keyword-based brand safety blocking excludes content unnecessarily, they found that 54% of URLs were blocked based on keywords alone, even though the underlying content would be considered appropriate once evaluated for full context, tone, and intent. More than half. For years, large portions of news video inventory have effectively been invisible to advertisers, not because the content was actually unsafe, but because a blunt keyword match flagged it.
Multimodal AI is changing the math. Rather than scanning a transcript or title for trigger words, these tools analyze video, audio, speech, and images together, building a holistic read of tone and intent that keyword lists were never built to capture. I asked Jamie Finstein, VP of Media Center at IAB, directly what that means practically for media buyers in 2026. Her answer was blunt: “Change always feels like a burden until you realize the cost of not evolving. Teams that don’t revisit their settings in the wake of multimodal AI are going to fall behind.” Her specific advice for next week: Pull up your exclusion lists and ask when they were last reviewed. “For most teams, the answer may be longer ago than they’d like to admit.”
The timing has a second layer SEJ readers should note. The 2026 midterms are exactly the kind of period when news inventory historically gets excluded the most, right as audience attention peaks. Finstein’s framing on this is worth sitting with: “The concern is understandable, but the math doesn’t support it. Election cycles are when news consumption peaks and audience attention is at its highest. Pulling back entirely means your brand is absent precisely when consumers are most engaged with media.” The fix isn’t abandoning caution; it’s precision: a report on voter turnout and partisan commentary are not the same risk profile, and content-level evaluation can now tell them apart.
Finstein was also direct about where this doesn’t replace human judgment. Asked how marketers should structure oversight given that AI can still misclassify content in fast-moving news cycles, she said the priority is transparency and accountability from verification partners, particularly around how edge…
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