How Streaming Is Changing: Viewing Behavior, Monetization, and AI

Key Takeaways

• Viewing behavior is fragmented and feed-driven: Discovery starts on social, and viewing happens across devices and contexts.
• Subscription fatigue is reshaping monetization: Price sensitivity, churn, and flexible subscription behavior are replacing passive retention.
• AI is becoming the operating layer of streaming: From content creation to discovery and advertising, AI now determines efficiency and performance.
• Streaming’s future requires new core capabilities: Behavioral intelligence, ad tech maturity, mobile-first design, and AI-driven agility will define the next leaders.

Streaming was supposed to be the future of television, and in many ways, it still is. Subscription video on demand (SVOD) remains the most popular paid media choice for U.S. consumers, and the market is projected to grow from $61.9 billion to $112.7 billion by 2029.

But the early playbook no longer works. 

Growth used to come from scaling up, investing in content, and adding subscribers. Now, viewers are fragmented across platforms, churn is high, and algorithms increasingly influence what people watch—often before they ever open a streaming app.

The opportunity is still there. But capturing it requires understanding how the landscape has shifted and acting on that understanding now, not later.

Viewing Behavior: Fragmented Attention and Social-Led Discovery

As streaming expands, the central challenge shifts from access to content to competition for attention. Audiences move across more platforms, devices, and formats faster than ever before, making viewing behavior harder to predict and discovery more decentralized. 

To understand why growth feels more constrained, start with how viewing itself has changed.

1. Fragmented Viewing Across Platforms and Devices

There’s a ceiling on how much attention streaming can capture. According to Deloitte, media companies are all competing for roughly six hours of daily entertainment time—and that number isn’t growing. 

What is growing is the number of platforms fighting for a piece of it. Streaming now competes alongside traditional TV, social media, gaming, podcasts, and music––all within the same fixed window.

The divide is clear in the data:

→ Epsilon found that viewers now use 13 or more platforms, each reaching at least 15% of users.

That creates a user base with fewer default habits, less routine loyalty, and more in-the-moment decision-making. Where cable viewers once stuck to the same channels out of convenience, today’s audiences move fluidly between services based on what fits the moment.

Context has shifted just as dramatically: 

→ Mobile viewing has doubled since 2023, with 51% of Gen Z frequently watching on their phones.

Streaming is no longer a lean-back living room experience. It’s cross-device (often mobile-first), unpredictable in terms of session length, and competing against non-streaming activities. Someone might start a show on their commute, pick it up on a tablet at lunch, and finish it on TV that night.

This raises the stakes for streaming platforms: 

A strong content library still matters, but content alone is no longer enough to sustain engagement in a market shaped by behavioral fluidity more than channel loyalty. 

Streaming services have to fit into many different contexts and moments rather than delivering a single premium experience while competing for attention that’s spread thinner than ever.

2. Social Platforms Are Reshaping Relevance and Discovery

The second major shift is how people find content in the first place. For most viewers, discovery no longer starts inside a streaming app. It starts in a feed.

By the time someone opens Netflix or HBO Max, they often already know what they want to watch—because an algorithm, a creator, or a shared clip surfaced first.

Social platforms now define relevance:

→ Over half of Gen Z and millennials say content and ads feel more relevant on social media than traditional cable TV or streaming.

Younger viewers also broadly trust social platforms for recommendations over streaming services themselves—a significant reversal from the era when a well-designed homepage and recommendation engine were real competitive advantages.

News & video consumption have shifted to social:

→ Per Reuters, social media is now the primary source of news in the U.S.

Video consumption in general, particularly among younger audiences, is increasingly happening on social platforms instead of through dedicated services. 

Discovery and viewing are collapsing into the same experience:

A great show is necessary but not sufficient for streaming success. Visibility now depends heavily on how content travels outside the platform through clips, memes, creator commentary, and social sharing. A series can become culturally relevant before most people have opened the app to watch it.

Streaming platforms still influence what people watch. But they are no longer the primary recommendation engine in a consumer’s life.

Monetization: Subscription Fatigue and the Advertising Gap

The behavioral shifts reshaping streaming don’t just affect engagement—they directly impact how platforms make money.

As attention fragments and loyalty become less consistent, the economics of streaming get harder to sustain. The subscription model is under pressure, and the shift to advertising introduces new competitive challenges.

1. Subscription Fatigue Is Reshaping the Streaming Economy

The subscription model was built on a habit that is now breaking.

For years, growth depended on consumers maintaining a stable set of subscriptions. Today, that behavior has shifted. Viewers are more active and selective—signing up for a show, canceling, and rotating between services based on what feels worth paying for at any given time.

Subscription pressure is visible in the data:

→ Average streaming costs have risen 13% year over year, even as household budgets tighten.

At the same time:

• 41% of subscribers say SVOD content is not worth the price
• 60% say they would cancel if prices increased by $5
• 73% cancel when prices rise too much 
• 79% value the ability to pause or cancel anytime

Churn is no longer a temporary fluctuation:

→ 39% of users canceled at least one streaming service in the past six months. Among Gen Z and millennials, that number exceeds 50%.

Streaming services can no longer count on passive retention. Instead of fixed commitments, they are now treated as flexible, interchangeable services. A strong content release can drive sign-ups, but the harder problem is giving subscribers enough reason to stay during the stretches between them.

This raises the stakes on every pricing and packaging decision. When budgets are tight, and switching is frictionless, streaming platforms are competing for attention and a line item in household spending.

2. Competing in a Mature Digital Ad Market

The shift to ad-supported streaming introduces a new path to growth—but also a more demanding competitive landscape. For years, streaming monetization depended primarily on subscriptions. As that model comes under pressure, platforms are turning to advertising to balance affordability and revenue.

From a consumer perspective, the shift to ads makes sense:

→ 54% of subscribers now use at least one ad-supported tier, and most consumers consider $9–$10 an acceptable price point for these plans.

As people tire of too many subscriptions, ad-supported options are moving from a niche choice to a key part of how platforms make money.

The opportunity is real—but so is the competition:

→ PwC predicts that U.S. internet advertising will grow by about 8.5% each year, showing strong demand for digital ads and ROI-driven campaigns.

However, this growth does not mean streaming will automatically get a big share. Most ad spending still goes to social platforms, which offer more than just good content. They provide:

• Deeper behavioral data
• More precise audience targeting
• Real-time optimization
• Advanced, faster measurement capabilities

To succeed in this model, pricing alone isn’t enough.

Streaming platforms are no longer just selling ad space alongside high-quality content. They are competing with AI-driven systems that continuously improve targeting and outcomes.

Advertisers still value premium video environments, such as live sports and HBO-style original series, for their quality and reach. But increasingly, they prioritize campaigns that are relevant, measurable, and efficient. Platforms must build or partner to develop ad technology that delivers not just impressions but measurable results.

AI as Infrastructure: The Operating Layer of Streaming’s Next Phase

AI is emerging as the connective layer that addresses many of these pressures. As margins tighten, expectations for personalization increase, and advertising becomes more performance-driven, AI is no longer optional—it is foundational.

In streaming, this shift is most visible across three areas:

1. Content Creation and Localization

One of the most immediate impacts of AI is on production efficiency. Deloitte highlights generative dubbing and translation as key developments. As language adaptation becomes faster and more cost-effective, content can be distributed globally with greater speed and flexibility.

This extends to:

• Virtual production tools
• Automated content workflows
• AI-assisted script evaluation

Together, these reduce production costs and compress timelines earlier in the content lifecycle. As programming budgets stay under pressure, AI’s role in improving content economics becomes harder to ignore.

2. Personalization and Discovery

AI is also redefining how content is surfaced to viewers. Recommendation systems have always been part of streaming, but the standard has changed. Audiences now expect the immediacy and relevance of social feeds. Static or slow-updating recommendations no longer meet that expectation.

AI enables:

• Real-time behavioral modeling
• Dynamic content ranking
• Feed-like discovery experiences

In a fragmented attention environment, this directly determines whether content gets watched at all.

3. Advertising Optimization

The most immediate competitive pressure shows up in advertising. As more platforms adopt ad-supported models, they must deliver the same level of targeting and measurement that advertisers receive elsewhere.

AI enables:

• More precise audience segmentation
• Dynamic ad delivery
• Predictive performance modeling

These capabilities make campaigns more efficient and measurable—two factors that increasingly drive ad spend decisions. Without them, even premium inventory struggles to compete.

Strategic Takeaways for Streaming Leaders

Streaming leaders should prioritize adaptability over simply expanding. As audiences divide their attention, discover content in new ways, and competition for revenue increases, leaders must respond to current market conditions rather than depend on past strategies.

1. Compete on behavioral intelligence, not just premium IP.

While popular content can attract viewers, keeping them means matching shows and movies to the right people at the right time. As viewers move fluidly between services, platforms must do more than offer compelling titles. They need to ensure those titles are surfaced at the right time, to the right audience, in the right context. 

That requires:

• Stronger use of behavioral and telemetry data
• More responsive, real-time recommendation systems
• Continuous reinforcement of value across the user lifecycle

Platforms that can activate data across channels and personalize in real time will be better positioned to turn engagement into retention.

2. Treat social as infrastructure, not just marketing.

Discovery now happens largely outside the platform. Clips, commentary, and creator amplification shape what audiences watch before they ever open a streaming app. If streaming companies see social only as a way to promote shows, they risk missing out on the places where audiences decide what matters.

Growth increasingly depends on the ability to:

• Extend existing content natively into social ecosystems
• Act on trends fast with dynamic content
• Reinforce discovery behaviors across owned channels

This requires tighter coordination between social signals and lifecycle engagement strategies.

3. Invest in ad tech maturity.

As ad-supported models expand, the ability to deliver targeted, measurable, and performant campaigns becomes critical. This is not just about selling ad inventory. It is about building systems that can:

• Segment audiences precisely based on your goals
• Deliver ads that are predicted to perform best for certain segments
• Measure performance and optimize content in real time

Many platforms will need to build or partner for these capabilities, especially as expectations are shaped by AI-driven advertising ecosystems.

4. Design for mobile-first engagement.

Viewing is no longer confined to a single screen or environment. Audiences engage across devices, often in shorter, more fragmented sessions.

Product and messaging strategies should reflect this shift by supporting:

• Seamless cross-device experiences (dynamic formats, deep linking, etc)
• Context-aware messaging (historical activity, preferred hours, etc)
• Shorter, high-impact engagement moments

These mobile habits influence how younger audiences form routines, judge convenience, and react to content and ads.

5. Use AI to reduce cost and increase agility.

AI enables streaming platforms to operate more efficiently and respond more quickly to changing behavior across all of the above mentioned areas. It can:

• Increase activation of user data (real-time and historic)
• Improve churn prediction and retention strategies
• Optimize content creation, recommendations, and timing

Platforms that embed AI across their lifecycle—from acquisition to retention to monetization—will be better equipped to compete in a fast-moving, attention-constrained market.

FAQs About Marketing for Streaming Platforms

1. What’s behind the shift in streaming today?

Changes in the streaming industry are driven by three structural shifts occurring simultaneously: fragmented attention, monetization pressure, and the rise of AI.

Audience behavior is the starting point. Media companies are competing for roughly 6 hours of daily entertainment time across an average of 13 or more platforms. Viewers move fluidly between streaming, social, and other formats, making engagement harder to predict and sustain. At the same time, subscription fatigue is rising, while AI is accelerating competition in personalization, discovery, and advertising performance.

2. Why is streaming becoming harder to monetize?

Streaming monetization is under pressure as both subscription and advertising models are becoming more competitive. Consumers are increasingly price-sensitive—60% of users would cancel a service after a $5 price increase—making retention less stable. At the same time, streaming platforms are competing with mature digital ad ecosystems, especially social platforms, that offer stronger targeting, measurement, and optimization. 

Premium content still attracts audiences, but monetization now depends on delivering measurable performance, not just reach.

3. How is AI changing the streaming industry?

AI is shifting streaming from a content-driven model to a systems-driven one. Investment in generative AI exceeded $56 billion in 2024, signaling rapid adoption across media and entertainment. AI is being used to reduce production costs, personalize discovery in real time, and improve advertising performance. 

As these capabilities mature, competitive advantage is no longer defined by content volume alone, but by how efficiently platforms operate, how well they personalize, and how effectively they monetize audiences.

4. What should streaming platforms prioritize next?

Streaming platforms must adapt to a market where behavior is fluid and expectations are rising by investing in:

• Behavioral intelligence to act on user data in real time
• Ad tech maturity to compete in performance-driven ad markets
• Mobile-first design to match how audiences actually consume content
• AI-driven operations to improve efficiency and monetization

These capabilities will determine which platforms can turn fragmented attention into sustained engagement and revenue.

Succeeding in the Next Era of Streaming

Streaming remains a large and growing market. But growth alone no longer guarantees pricing power, retention stability, or advertising competitiveness. 

The core challenge is no longer expansion. It’s an adaptation.

The streaming reset is not about whether the category will survive. It is about whether platforms can evolve fast enough to compete in a feed-driven, AI-accelerated environment.