Media is evolving rapidly, powered by AI, ad-supported growth, and new ways to measure performance. Ad-supported video is set to reach $540B. AI is changing how content is created and discovered. Measurement now tracks performance across all platforms.
This blog breaks down these shifts and shows how they will shape brand strategy, media buying, and performance.
Ad-Supported Online Video Revenue Headed to $540B by 2030
Ad-supported online video will hit $540 billion by 2030, up 75% in five years. This is the fastest growth across all video segments.
This growth comes from digital platforms. Social video and connected TV are attracting more viewers and ad spend. At the same time, traditional TV is slowing down. Linear TV ad revenue is declining, and pay TV keeps losing users.
Online video is now leading the market. It will make up 54% of total video revenue by 2030, up from 40% in 2025. Ads are driving most of this growth, even more than subscriptions.
Takeaway for Brands
Move budgets toward social and connected TV. Focus on platforms where ads scale and target better. Linear still has reach, but digital video now drives growth and performance.
The Rise of AI in the Content Ecosystem
AI is changing how content is found, ranked, and used. It is also raising new questions about trust, control, and ownership.
SEO and AI Citations
Search has changed. AI now answers questions instead of just showing links. It pulls from many sources and decides what gets seen first.
This has started a race. Companies now try to get mentioned in AI answers, not just rank on Google. New tactics are rising. Some brands publish “best of” lists that rank themselves first. These pages are easy for AI to pick up, even if they are biased.
This creates a trust problem. AI can repeat wrong or misleading information if the source looks structured and clear. Even simple tricks have worked in tests.
What This Means for Brands
Measurement is still unclear, and brands cannot reliably track AI visibility yet. This shifts the focus. Ranking alone is not enough. Brands now need strong, credible mentions across the web. The goal is balance. Use AI to scale content, but keep it clear, useful, and honest.
AI Scraping and Copyright Concerns
Amazon is facing a lawsuit from creators who claim it scraped YouTube videos to train its AI model, Nova Reel. The claim says Amazon used content at scale without permission or payment. It also accuses the company of bypassing protections meant to stop copying.
The core issue is simple. Public does not mean free to use. Watching a video is allowed. Using it to train AI is now being challenged.
A clear conflict is forming. Creators want control and fair pay for their work. AI companies need large amounts of content to train their models. This clash is pushing for change. Expect stricter rules, clearer consent, and new ways to license content for AI training.
Brand Moves: Dollar Shave Club’s Creative Testing and New Demographics
Dollar Shave Club is using customer data and live experiments to guide both product and creative decisions.
New Women’s Line Launch
Dollar Shave Club has launched its first product line for women. This move is not a guess. The brand already had demand. 30% of its customers are women, and about half of them use the products themselves. Many chose men’s razors because they work better.
This is a smart move. It builds on real user behavior. The brand focuses on what works best instead of surface-level changes.
The takeaway is simple. Growth does not always mean finding new users. Sometimes it means listening to the ones you already have and building for how they actually behave.
AI-Generated vs. Traditional Ad Creative Testing
Dollar Shave Club is testing two approaches side by side. One ad is built the traditional way. The other is generated using AI. Both ads run in one campaign, promoting a single product to the same audience. This makes the comparison clear and fair.
Brands want faster production and lower costs. Performance decides what scales. These tests show where AI works and where traditional creative performs better.
Measurement Shake-Up: TelevisaUnivision and Nielsen’s Data Deal
TelevisaUnivision has signed a new multi-year deal with Nielsen. It covers its full media portfolio, including broadcast, cable, streaming, and radio.
The focus is to improve how audiences are measured across platforms. The deal includes advanced audience data, streaming ratings, and connected TV measurement tools.
Timing matters here. The deal closed right before upfronts, when major ad budgets are set. Without it, buyers said they would have turned to other measurement providers.
What This Signals
Measurement is changing. Brands want clear data across all platforms they can trust. Older systems face pressure as new tools deliver more accurate and flexible insights.
The Role of AI in Ad Measurement and Media Buying
AI is changing how brands measure and buy ads. It gives faster insights and clearer data on every channel:
- Tracks performance in real time across platforms.
- Breaks down audience behavior with more detail.
- Connects ad spend to results like clicks and sales.
- Finds patterns and predicts what will work next.
- Adjusts budgets and targeting automatically.
This reshapes how media buying works. Brands can act quickly and target with precision. They can spend smarter. AI supports decisions, but strategy still stimulates outcomes.
Media Is Shifting. Brands Need to Keep Up
Media is shifting toward ads, AI, and stronger measurement. Streaming now runs on ad revenue. AI is shaping content, discovery, and performance.
Brands need to adjust how they work. They must test quickly, track accurately, and show up earlier in the journey. Strong data and a clear strategy matter more than ever. AI improves speed and precision, but it does not replace smart decisions.
Frequently Asked Questions
How is AI affecting content creation and ad measurement?
AI helps produce ads at scale and delivers real-time performance data, audience insights, and outcome tracking.
What is driving the projected $540B ad revenue increase in video?
Social platforms, connected TV, and ad-supported models are pulling more spend as viewing shifts to digital video.
How can brands adapt their strategies to the rise of AI in media?
Teams should run more tests, use automation for scale, and rely on strong data to guide targeting and decisions.
What are the challenges around AI-driven content ranking?
AI can surface biased or misleading sources, and there is no clear way to measure visibility in AI-generated answers.
How will the TelevisaUnivision and Nielsen deal impact ad measurement in the future?
It strengthens cross-platform measurement and shows rising demand for more accurate and unified audience data.
What role will AI play in future media buying trends?
AI will support planning, improve precision, and automate spend allocation based on live campaign results.
