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Date:
September 20, 2022

Streaming TV is Having a Crisis of Scale

The global reach of OTT/FAST means that those platforms are fighting a continuous battle to bring new and successful content into more and more markets.

Building a successful content library involves much more than ensuring those titles have appropriate age ratings and content restrictions. The content also has to be good .

But the companies that provide content worldwide through over-the-top (OTT) or free ad-supported television services (FAST) are struggling to release enough popular content to grow their services.

This creates a cyclical challenge. Waning subscriber growth does not provide the financial resources to develop new content, and the lack of fresh/innovative content only accelerates subscriber loss.

Chicken, meet the egg

A recent Washington Post article states, "Streaming television is going through an existential crisis, involving the people who make it and the viewers who watch it. Its revolutionary zeal has naturally faded, as that initial wave of near limitless expansion, boundless creative opportunities and vast archival choices crashes ashore, after a spate of megamergers and a drop in new subscribers."

Yes, it's true. The hyper-growth of OTT and FAST streaming services is beginning to experience a rapid slowdown. What was once innovative content is now considered standard fare.

This fickle nature of global content consumption has caused streaming services' return on investment to hit a plateau due to the challenges of breaking into new markets. Thus causing stagnation of content as the production forces see budgets pulled. This content stagnation is leaving audiences who have not yet subscribed to a service hesitant to make the subscription commitment.

Solving global distribution challenges is daunting for the largest streaming platforms, let alone the small producers. Ensuring that your content resonates with international viewers is a challenge that must be prioritized for the showrunners and various creatives coming up with the next big streaming blockbuster.

Streaming platforms have had huge successes with sensations such as "Squid Games," but the content that resonates globally is rare; this is especially true for comedies.

One of the most significant issues for comedic content is the reliance on nuance. Nuance is challenging to translate as well as localize. It can also be difficult for local content reviewers to place appropriate content restrictions and age ratings accurately. An artificial intelligence-based content analysis tool can help creators identify any challenges with their content before it is released.

While major studios are slashing content development budgets, smaller producers still seek to create and find an audience. Avoiding the formulaic traps that led to the prevalence of medical dramas on broadcast television can be the solution.

Speak softly and tell a good story

The timing of this plateau of audience growth is less than optimal. Earlier this Summer, it was reported that streaming finally drew more viewers than cable and broadcast TV. But despite the overall growth of streaming, the writing was on the wall for the future of new content. We saw the rumors earlier this year , and it still all comes down to knowing your audience, the markets in which you want to release, and how to tell a good story.

Recognizing that different cultures view topics through distinctive lenses is crucial to bringing a concept to life. Whether it be intense themes such as suicide or drugs; or if it is light-hearted topics such as potty training or first dates, not all markets will interpret humor or drama through the same lens. We recently shared five tips for how creatives can keep their vision intact while avoiding content restrictions in global markets.

Running your content through a system that utilizes human-in-the-loop machine learning will provide you with crucial insight into the subtle distinctions of your content. It should be mandatory to bring new shows and movies to market.

By having insight into the potential sensitivities of a show or movie, streaming services can ensure their titles are on the path to success. Services such as Spherexratings™ and Spherexgreenlight™ are market-proven technologies that have helped some of the world's most prominent content creators and distributors with millions of titles reach new markets more quickly.

This skill of bringing quality, globally informed content to market is one of the critical ways streaming platforms can overcome the audience growth plateaus they are experiencing.

And if you are ready to bring your title to a new audience, contact us, and we will ensure your vision comes to life anywhere it gets watched.

Related Insights

Automating Peace of Mind: Navigating YouTube's Global Guidelines with SpherexAI

For media companies distributing content across YouTube, compliance is no longer just a legal requirement—it’s a prerequisite for discoverability, monetization, and channel survival. YouTube enforces strict policies governing child safety, vulgarity, graphic content, and cultural sensitivity. For content owners, ensuring compliance across multiple categories and geographies is a complex and labor-intensive process. To address this issue, SpherexAI provides a scalable solution tailored for any content creator or owner.

YouTube’s Expanding Compliance Landscape

YouTube’s Community Guidelines cover a wide array of regulated categories. Content can be removed or age-restricted—and creators may face penalties—if videos violate policies on:

  • Nudity and sexual content: Content that includes sexually gratifying imagery or non-consensual sexualization is prohibited.
  • Violence and graphic imagery: Footage showing serious injury, bodily fluids, or torture intended to shock viewers can be flagged or removed.
  • Child safety: Content that exploits minors, includes inappropriate family content, or features children in dangerous stunts is not allowed.
  • Illegal or regulated goods: YouTube restricts promotion of firearms, narcotics, and gambling services, among others.

Managing compliance with each of these categories—especially when content is global and multilingual—is a logistical challenge for distributors.

Enter SpherexAI: Precision Compliance Automation at Scale

SpherexAI applies multimodal AI to analyze video content across dialogue, visuals, audio, and metadata. It detects compliance issues not only by scanning for policy violations but also by identifying subtle cultural or regional sensitivities that could result in content removal or limited distribution.

For example, the platform flags:

  • Dialogue with excessive profanity or sexual references, aligned with YouTube’s vulgar language policy.
  • Visuals showing partial nudity, firearm use, or dangerous stunts, which may trigger strikes or age restrictions.
  • Culturally sensitive depictions—such as religious imagery or portrayals of death—that may violate local norms and platform rules.

SpherexAI outputs include timestamped alerts and severity levels, allowing content owners to make targeted edits rather than performing full manual reviews.

Equal Rules for All Creators

Whether you’re a major studio releasing film clips or a digital-first creator uploading your first series, YouTube holds all content publishers to the same standards. Community Guidelines are enforced platform-wide, regardless of a channel’s size, history, or market familiarity.

This presents a significant challenge for new entrants. Many first-time creators or distributors may be unaware that a thumbnail featuring misleading imagery, a prank involving minors, or a scene with unedited drug references can lead to demonetization or a channel strike. But YouTube’s enforcement is uniform: content that violates policy is subject to the same sanctions across the board.

SpherexAI helps level the playing field by equipping every content team—regardless of experience—with access to the same tools used by top studios. Its patented knowledge graph, built on over a decade of regulatory insight and expert human annotation, powers its AI models with unmatched precision. The result: faster reviews, greater accuracy, and fewer costly mistakes.

Cross-Platform, Region-Aware, and Regulation-Ready

Unlike tools focused on metadata or age ratings alone, SpherexAI delivers:

  • Granular analysis: Scene-by-scene breakdowns for violence, vulgarity, sexual content, and self-harm risks.
  • Cultural intelligence: Predictive models assess content suitability across 240+ territories using Spherex’s proprietary “cultural distance” framework.
  • Workflow integration: The platform’s API allows integration into existing supply chains and CMS platforms for automated review at scale.

Reducing Risk, Unlocking Revenue

YouTube’s monetization eligibility hinges on content safety. Channels can be demonetized or de-prioritized in search and recommendation if flagged for repeated violations. Well-known creators Logan Paul, ScreenCulture, and LH Studios have all been sanctioned for violations. By proactively identifying and resolving compliance issues before publishing, SpherexAI empowers content owners to:

  • Avoid strikes or takedowns
  • Retain monetization rights
  • Accelerate time-to-market
  • Protect brand reputation

Conclusion

YouTube is a dynamic platform for global content distribution that requires rigorous adherence to evolving content standards. For studios, broadcasters, and new creators alike, SpherexAI offers an AI-powered safety net automating policy compliance while preserving creative integrity. When SpherexAI is integrated into your production workflow, you can publish confidently at scale, with full compliance, and with no brand risk.

Ready to streamline compliance and expand your YouTube strategy globally?

Book a demo or visit spherex.com to learn how SpherexAI can support your team.

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Spherex CEO Teresa Phillips Talks Practical AI for Global Content Localization at EnTech Fest

At this year’s DEG EnTech Fest, Spherex CEO and Co-Founder Teresa Phillips joined a panel to explore one of the most practical and impactful uses of AI in entertainment today: localization.

During the session titled “Practical AI For Speed and Savings in Localization,” Phillips shared how Spherex is leveraging AI to deliver “deep video understanding” that accelerates compliance and rating decisions in over 200 markets. As she explained, understanding the context—cultural, visual, and narrative—is crucial in determining whether a piece of content is suitable for audiences worldwide.

“AI can now detect not just what happens in a scene, but how it might be interpreted in different cultural and regulatory environments,” said Phillips. For example, in Scandinavian countries, if a trusted figure, such as a clergy member, commits an unethical act onscreen, it can dramatically impact a film’s age rating. SpherexAI is trained to identify these nuanced moments, flagging them for human review when needed.

Phillips also highlighted the role of AI in augmenting human decision-making, noting that “AI agents can be trained to ask humans the right questions—like whether the drinking in a scene is casual or excessive—ensuring more consistent, scalable evaluations.”

The conversation also acknowledged the broader industry shift that AI is bringing to localization workflows—from quality control (QC) to artwork generation, compliance, and project management. With automation poised to displace some entry-level roles, Phillips raised a key question for the future: “If junior roles are the first to be automated, how do we bring new talent into the industry? We have a responsibility in our organizations to create opportunities for the next generation.”

Joining Phillips on the panel were Silviu Epure (Blu Digital Group), Chris Carey (Iyuno), Kelly Summers (The Sherlock Company), and Duncan Wain (Zoo Digital), offering a 360° view on how AI is transforming the way stories cross borders.

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Why Content Differentiation Matters More Than Ever

In today’s fragmented global media landscape, a one-size-fits-all approach no longer works. Media companies face increasing pressure to tailor their content strategies to suit diverse regulatory standards, cultural norms, and viewer expectations.To thrive, they must adopt a new mindset—content differentiation—as both a business imperative and a competitive advantage.

What Is Content Differentiation?

Content differentiation is the strategic process of customizing how media is packaged, presented, and monetized based on the context in which it is distributed. Unlike basic content localization, which focuses mainly on language and format adjustments, content differentiation goes deeper. It aligns content with the regulatory, cultural, and commercial realities of each market, platform, and audience.

The goal is to ensure that content resonates locally while maintaining global scale. Differentiation helps media companies maximize reach, reduce regulatory risk, and improve monetization—all without compromising creative intent.

Why It’s Needed Now
  • Regulatory Complexity: Governments are tightening rules around age ratings, depictions of violence, sexuality, religion, and topics of national interest. These laws vary widely across regions, creating a compliance minefield for global distributors.
  • Cultural Expectations: What works in one market can trigger backlash in another. Cultural nuances—around gender roles, family dynamics, or social taboos—shape how content is perceived and whether it’s embraced or rejected. In many cases, outdated depictions of identity, relationships, or social dynamics can resurface as flashpoints when content is distributed years later in new markets.
  • The Importance of Metadata: Streaming platforms now host massive libraries with considerable overlap in titles across services. In this environment, having accurate, detailed metadata—including production details, talent, , and advanced descriptors—is critical for making content discoverable, marketable, and ultimately profitable. Without it, even high-quality content risks being overlooked.
Meeting the Challenge with SpherexAI

Solving these challenges requires more than manual review or basic tagging—it demands a scalable, intelligent system that understands both the content itself and its contextual significance. That’s where SpherexAI comes in.

SpherexAI is a high-fidelity metadata platform built to help media and entertainment companies implement content differentiation at scale. Using multimodal AI, it analyzes every frame of video—evaluating visuals, audio, dialogue, and on-screen text—to generate rich, actionable metadata that informs compliance decisions, discovery, and monetization.

SpherexAI extends beyond basic content tagging. It analyzes material against global regulatory requirements, identifies cultural nuances and sensitivities, and detects potential risks prior to distribution. Additionally, it enhances content visibility in crowded platform environments by enriching metadata with precise descriptors, scene-level details, emotional tone analysis, and contextual insights—elements that improve content discovery and ad targeting.

Learn More

If you're ready to differentiate your content for every audience, platform, and region, SpherexAI can help. Contact us to schedule a demo or speak with our team about how metadata-driven intelligence can power your global strategy.

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