As AI simplifies planning, creative production and measurement, connected TV is becoming more accessible to marketers of every size
Streaming television has already transformed how audiences consume content. What is changing now is how advertisers access that audience. For years, television advertising remained a premium channel reserved largely for brands with substantial budgets, agency expertise and high production capabilities. Even as streaming platforms replaced linear viewing habits, buying advertising across connected TV (CTV) often remained complicated. Multiple platforms, fragmented inventory, different measurement standards and expensive creative production continued to keep many marketers on the sidelines.
Artificial intelligence is beginning to reshape that reality.
Rather than simply improving ad targeting, AI is increasingly becoming the infrastructure that simplifies the entire advertising workflow. It is helping marketers identify audiences, generate creative assets, optimise media plans, personalise campaigns and measure outcomes faster than traditional processes allowed. The result is a gradual shift in how streaming television is bought and sold, moving closer to the automated, data-driven systems that marketers have long associated with digital advertising.
The shift is arriving as streaming itself reaches unprecedented scale.
According to Nielsen’s The Gauge report, streaming accounted for 48.6% of total television viewing in May 2026, marking the highest share recorded to date. YouTube alone represented 13.8% of all TV viewing, further highlighting how internet-first platforms have become mainstream television destinations. Nielsen’s Q1 2026 Ad Supported Gauge also found that ad-supported streaming captured 46.6% of all ad-supported TV viewing, nearly equalling the combined share of broadcast and cable television.
Advertising budgets are following viewers. The Interactive Advertising Bureau (IAB) projects that U.S. connected TV advertising will reach $29.3 billion in 2026, contributing to total digital video advertising spend of $81.9 billion, representing more than 60% of the country’s overall television and video advertising market.
The audience migration is largely complete. AI is becoming the mechanism that allows advertising investment to move with it.
For much of the streaming era, advertisers encountered an unusual contradiction. The audience behaved like digital consumers, watching content across devices, platforms and subscription models, but the buying experience continued to resemble traditional television. Advertisers needed to navigate premium publishers, FAST channels, ad-supported subscription tiers, private marketplaces and varying measurement systems before campaigns could even begin.
Industry research suggests marketers increasingly see AI as the solution to that operational complexity.
According to IAB’s 2026 digital video research, nearly two-thirds of video buyers are already using, testing or planning to deploy agentic AI across digital video campaigns, while another 28% are actively evaluating the technology. Early adoption has focused on campaign planning, audience discovery, inventory selection and creative optimisation, areas where AI can remove repetitive manual work before budgets are committed.
That change is particularly meaningful for small and medium-sized advertisers.
Historically, entering television advertising required dedicated media teams, specialist agencies and significant production investment. AI now enables many of those capabilities to be performed through software. Campaign briefs can be converted into media recommendations, existing creative can be reformatted for multiple streaming platforms, and performance reports can be generated automatically. Instead of replacing marketers, AI is lowering the expertise required to participate.
Mediaocean’s 2026 Advertising Outlook reflects that growing confidence. The report found that 63% of marketers plan to increase connected TV investment this year, placing CTV alongside digital display and online video as the highest-growth advertising channels.
The increased demand also explains why virtually every major streaming platform is now investing heavily in AI-powered advertising products.
Creative production has traditionally been one of television advertising’s biggest barriers. Producing broadcast-quality video often required dedicated shoots, multiple agencies and significant budgets. Generative AI is beginning to change that equation.
FreeWheel’s latest Video Marketplace Report estimates that nearly 40% of video advertising creative will be created or enhanced using generative AI during 2026. AI-assisted production allows brands to repurpose existing social media content, generate multiple creative variations, translate campaigns into different languages and automatically resize videos for various streaming formats.
This matters because streaming audiences continue to expand rapidly.
FreeWheel reported that premium video advertising views across the United States and Europe increased 11% year over year during the second half of 2025, while connected TV accounted for 86% of premium video ad views in the U.S. and 50% across Europe. The audience is already watching on larger screens. AI is making it easier for more advertisers to create content suitable for those screens.
Roku is among the companies positioning AI as a tool to democratise television advertising.
The company has argued that generative AI could improve advertising effectiveness for many local businesses by as much as 30% compared with traditional linear television campaigns. Its partnership with advertising technology platform Smartly, announced in June 2026, aims to allow brands already running social media campaigns to extend those assets directly into connected TV. Rather than building entirely new workflows, advertisers can adapt existing creative, optimise campaigns and analyse results within familiar systems.
Patrick Harris, Senior Vice President of Global Advertising Sales and Partnerships at Roku, summarised the industry’s direction by saying that advertisers increasingly want streaming campaigns to perform with the same efficiency they expect from digital channels.
The same trend is becoming visible among premium streaming services.
Netflix has steadily expanded its advertising technology since launching its ad-supported tier, and its 2026 Upfront presentation signalled an even deeper commitment to AI. The company introduced AI-powered media planning tools, began testing AI agents that assist with campaign buying, and demonstrated systems capable of automatically adapting creative for pause advertisements, vertical video and other emerging formats.
Netflix is also experimenting with personalised advertising frequency based on viewing behaviour, allowing campaigns to become more relevant without overwhelming audiences.
Nicolle Pangis, Vice President of Advertising at Netflix, described the company’s advertising suite as an effort to simplify campaign execution while improving measurement and creative flexibility.
The broader message extends beyond Netflix itself. Premium streaming platforms increasingly recognise that reducing operational complexity may become just as important as expanding advertising inventory.
Commerce-driven streaming is evolving along a similar path.
Amazon Ads has introduced AI-powered contextual pause advertisements for Prime Video that analyse on-screen content before generating contextually relevant messaging. The company has also expanded interactive advertising formats, allowing viewers to engage with products directly from television screens through one-click actions and personalised shopping experiences.
Prime Video now reaches more than 315 million monthly ad-supported viewers globally across more than fifteen countries. Within India, Amazon says viewers spend approximately 100 minutes daily on Prime Video, with 63% of viewing occurring on connected television devices.
Alan Moss, Vice President of Global Advertising Sales at Amazon Ads, has said the company’s interactive advertising formats are designed to drive measurable consumer actions both on and beyond Amazon’s own retail platform.
Whether those performance claims ultimately hold across the wider market remains to be seen. However, they illustrate an important shift. Streaming television advertising is increasingly being designed not simply to build awareness but to encourage immediate engagement and measurable outcomes.
Google is pursuing a similar objective through YouTube.
Already the world’s largest streaming video platform, YouTube has steadily expanded its presence on television screens. Google says audiences now watch more than one billion hours of YouTube content on televisions every day, while YouTube reached more than 75 million adults through connected TV in India during April 2025.
At Brandcast 2026, Google unveiled several AI-powered advertising capabilities. Its Custom Sponsorships product uses artificial intelligence to identify videos aligned with specific campaign moments, while creative production tools built on Gemini, Veo and Nano Banana allow marketers to move from text prompts to finished video assets within a single workflow.
Google also introduced direct television checkout using Google Pay, enabling viewers to complete purchases with only a few interactions through connected television devices.
The significance is less about AI creating new audiences and more about making those audiences easier for advertisers to activate.
Measurement has become another area where artificial intelligence is reshaping streaming television.
One of connected TV’s longstanding challenges has been demonstrating outcomes beyond impressions. Advertisers have often struggled to compare streaming performance across publishers or connect viewing behaviour with broader marketing objectives.
AI is increasingly being used to solve those problems through audience modelling, cross-device identity resolution and predictive analytics.
Amazon says its authenticated identity graph reaches more than 90% of U.S. households, helping reduce duplicate advertising exposure by 57%. The company has also reported substantially higher brand search activity and product engagement for interactive streaming campaigns compared with standard video advertising.
Those figures represent Amazon’s own measurements, but they highlight where the broader market is moving. Streaming platforms increasingly want to compete not only on audience size but also on measurable business outcomes.
Independent measurement companies are adapting accordingly.
In April 2026, Integral Ad Science (IAS) launched Total TV, a measurement platform intended to provide greater transparency across connected television. The solution aggregates programme-level information including show names, genres, ratings and language across major publishers such as Disney, NBCUniversal, Paramount and Prime Video.
Dana McGraw, Senior Vice President of Data and Measurement Science at Disney Advertising, said advertisers require deeper visibility and stronger performance insights as connected TV becomes a larger share of media investment.
Those improvements matter because AI systems depend on high-quality data. More accurate metadata, stronger contextual signals and greater transparency allow optimisation algorithms to make better decisions throughout campaign delivery.
Publishers are also applying AI behind the scenes.
FreeWheel’s research found that enriched metadata is becoming increasingly important within advertising supply chains, while predictive AI is helping publishers anticipate spikes in viewing around major sporting events and entertainment releases. These capabilities allow inventory to be priced more efficiently while helping advertisers secure placements likely to deliver stronger results.
Yet despite rapid progress, streaming television advertising has not become entirely frictionless.
Fragmentation remains one of the industry’s biggest challenges. Advertisers continue to manage campaigns across multiple platforms, identity frameworks, publisher rules and measurement methodologies. AI can simplify many workflows, but it cannot eliminate commercial complexity or fully standardise the market.
IAB’s latest research also suggests marketers remain cautious about allowing AI to control final purchasing decisions. Adoption rates remain highest for planning, analysis and optimisation rather than fully autonomous media buying, indicating that advertisers still prefer human oversight when significant budgets are involved.
Transparency also continues to dominate industry discussions. As AI becomes responsible for more campaign decisions, buyers increasingly want clearer explanations of how recommendations are generated and how optimisation models function.
Mediaocean similarly notes that while marketers are increasing investment in both AI and connected TV, operational coordination across platforms remains an ongoing challenge. Better interoperability, stronger measurement standards and more consistent supply paths remain works in progress across the ecosystem.
The technology, in other words, is reducing friction rather than removing it completely.
Still, the direction of travel is becoming increasingly clear.
Streaming television no longer needs to convince advertisers that audiences have shifted. Nielsen’s viewing figures have already settled that debate. The next stage of market development is making streaming television as accessible as other digital advertising channels.
Artificial intelligence is becoming the connective layer enabling that transition. It allows local businesses to create television-ready advertising without large production budgets. It enables performance marketers to adapt existing social campaigns for connected TV. It helps premium streaming services automate planning and creative adaptation. It allows commerce platforms to connect television viewing directly with purchasing behaviour. It also gives measurement providers richer signals to demonstrate campaign performance.
The result is not the disappearance of television advertising’s complexity. Instead, much of that complexity is gradually being absorbed into software.
As more platforms embed AI throughout planning, creative production, buying and measurement, connected TV is beginning to resemble the broader digital advertising ecosystem rather than the traditional television market it once mirrored.
For advertisers, particularly those previously excluded by cost or operational barriers, that may prove to be the biggest transformation of all. AI is not replacing streaming television. It is making the channel more accessible, more measurable and increasingly easier to use.
Disclaimer: All data points and statistics are attributed to published research studies and verified market research. All quotes are either sourced directly or attributed to public statements.