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Date:
January 7, 2022

Spherex M&E Predictions for 2022

Predicting the future is problematic. The process begins with the predictor's perspective on the past, includes their view of things as they are today, and ends with someone else going back to see how close they came 12 months later. The task is further complicated by the difference between what we thinkwill happen and what we wantto happen, both of which can have no relationship to what actuallyhappens. The challenge then, to paraphrase Peter Drucker, is not "predict the future, but to create it." Our predictions focus on technologies and changes we believe will contribute to a new future for the M&E industry in 2022.

One: the battle for audience share intensifies

No one is in the media or entertainment business just to tell stories. They want to make a profit as well. As such, streaming and linear platforms, advertisers, and content creators need viewer or subscriber figures, minutes watched, customer churn, and revenue as success metrics. When streaming content was first introduced in 2007, Netflix and Hulu were the only two players. Today, there are nearly 300 VOD and OTT platforms available to consumers across 200+ countries and territories. That number is expected to increase to 600 platforms and two billion subscribers by 2025.

Of course, having a platform means you must make content available that consumers will want to watch and subscribe to and for advertisers to support. Variety's "Dare to Stream" report says 35% of SVOD subscribers choose a platform because it "Has the shows I want" to watch. Companies with existing or expanding content catalogs have a competitive advantage because they don't have to buy or license content, but even those titles become stale over time. The result is the demand for new content will continue to increase as more consumers tire of existing catalogs, are unable to find something to watch, and reach the point of deciding which service is no longer worth the subscription price.

Two: original foreign-language content investment increases

The global popularity of foreign titles in 2021 like "Squid Game" and "The Silent Sea" demonstrate what 2019's Best Film Oscar winner for "Parasite," director Bong Joon-ho hoped for -- that moviegoers would overcome the one-inch subtitle barrier and find engaging stories worth watching. The result of this success has platforms searching for possible successors. CNBC reports that studios are interested in foreign titles because (a) the market for them, especially South Korean titles, is hot, (b) they cost less to produce than domestic titles by a factor of 5-10x, (c) it allows them to establish production and licensing relationships that can freeze out competitors who may be late to the game, and (d) opens new markets to their platforms for local and other international titles.

Netflix announced it would invest approximately $500 million in Korean content in 2022. This year, Disney plans to launch service in South Korea, Taiwan, and Hong Kong and buy 50 Asian originals by 2023. Peacock has partnered with Telemundo to develop 50 Spanish-language projects and create a new streaming channel. Amazon Prime Video announced it is expanding its content development in India , ordering shows in Hindi, Tamil, and Telugu languages. Many of these titles will find their way to the US and other international markets. Several will find the same level of success and audience acceptance as Squid Game, Parasite, and other foreign language titles.

Three: culturalization becomes an integral component of localization

We've written many times about content creators' challenges when preparing titles for international release. We highlighted the numerous films or TV shows that have run up against regulatory challenges , how less-than-optimal "subs and dubs" have resulted in the foreign audience watching a show that differs from the original , and how getting it wrong impacts revenue and audience acceptance.

The inevitability of regulatory and social media review and criticism means that changes in post-production workflows are necessary to ensure titles pass regulatory and linguistic muster before title submission and release. As the number of titles being released continues to increase globally, directors, producers, and studios need to find a competitive advantage that allows them to reach markets faster, at reduced cost and with no regulatory risk. Beginning in 2022, adding Artificial Intelligence (AI) and Machine-Learning (ML) tools, such as Spherexgreenlight™ to existing human processes can help content providers accomplish this important objective while reducing localization costs and improving the customer experience, and getting to revenue faster.

The underlying notion of all these predictions is speed to market. How do content creators, owners, and distributors get in front of audiences, even during a pandemic, more quickly, with less cost, and fewer regulatory headaches? We believe 2022 is the year they begin to reimagine their markets, where they go for content, and how they manage post-production and win in the marketplace.

It's going to be an exciting year. Check back next January and let's see how well we did!

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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