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Date:
March 25, 2022

Why Self Rating Isn't Wise

Does this scenario sound familiar? You have a catalog of hundreds or thousands of titles you’re about to release onto a major streaming platform. Many titles are old TV shows and films ranging from kids’ animated movies to action dramas containing violence and fighting. Others are recent releases that include well-known titles. The platform is available in multiple countries that require age ratings. You think, “I’ve got nothing to worry about” because all your films have U.S. theatrical ratings, and the TV shows have ratings for each episode. If you don’t have age ratings for all countries, you can look up the US rating and apply a comparable foreign rating. How hard can it be, right?

If only.

Here’s the problem. Most professionals working in international distribution understand that many of the world’s major film and TV markets require country-specific age ratings before airing or releasing it. They may not be aware that there are sometimes nuanced and significant differences in how age ratings are defined and applied to a movie or TV title. Getting it wrong can mean your title reaches a smaller audience, which can directly impact revenue and minutes watched.

In a previous blog post , we’ve documented the differences between movie and TV ratings. We encourage you to read it to familiarize yourself with the differences between the two. A key point of that post is that TV and theatrical audiences are different in both size and access. The ratings reflect those differences. For example, the “G” rating is applied to all US films acceptable for any age level. TV, conversely, because of the broad range of programming available, is broken into four: “TV-Y,” “TV-Y7,” “TV-Y7 FV,” and “G.” Likewise, NC-17 content is available in theaters and age-restricted online channels, but not on linear TV. As a result, there is no comparable rating to NC-17 for television.

It gets more complicated with film because there are distinctly different age categories a title must fit, but cultural and linguistic norms must be considered as they can affect a rating. The table below provides examples of film age ratings across seven countries and how they align with those used in the US. As you can see, there are few countries with straight-line comparable age ratings (shown in red) with similar content criteria to those created by the MPA.

Considering the film “ Divergent ,” a US PG-13 rated title, self-rating it for other countries by simply following a row in a ratings chart would rate the film as a 15+ title in Australia and Japan, and a 16 in Germany, France, and South Africa. While a two- or three-year difference may not sound significant, it is when it blocks several million viewers from the potential audience.


In Germany, the difference in the potential audience from a “12” to a “16” is approximately 2.6 million youth. In France, the audience difference is 3.3 million youth. The average French movie ticket price is $13.33, so self-rating as a “16” means a potential loss of $44 million in box office revenue. From a streaming standpoint, if parents have specific age ratings enabled in their children’s profile, that title won’t appear in their search results even though it is age-appropriate. Either way, self-assigning an uninformed age rating risks less revenue, bad press, and a smaller audience.


Awareness of the problem isn’t enough to adequately address it. Distributors may not know the many factors that regulators and consumers consider when choosing a title to view. Examples include alcohol and drug use, blasphemy, discrimination, violence, sexuality, horror, and imitable acts, each of which must be identified and examined to determine their suitability for international audiences. There are also concerns about language, metaphors, slang, and cultural references. To do this properly requires knowledge of those events and the skills to know how much they will matter to regulators and viewers.


Below is a screenshot from Spherex greenlight AI/Ml product to demonstrate how complex this is. The graphic below displays the events within “Divergent,” including timestamp flags and a description that can affect a title’s ratings for a given country.


Spherex Greenlight screenshot

Across the entire film, Greenlight mapped 124 identifiable event types and 56 that will change in-countries ratings (aka "exceptions"). This means there are 56 events that someone working at the distributor must know about and be willing or able to address in a post-production process that impacts the title’s rating, including making edits, blurring scenes, or deleting the scene altogether.


While the desire to cut costs and self-assign ratings quickly is understandable, the risks outweigh the rewards. Analyzing the event types across a single title, it becomes clear that simply drawing a straight line across a ratings chart cannot reliably provide ratings that platforms, regulators, or audiences will accept. Whether your catalog has dozens or thousands of titles, ensuring appropriate ratings for each title is a critical step in guaranteeing your titles are findable, age-appropriate, and enjoyed by viewers worldwide.

Related Insights

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.

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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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NAB 2025 – Recognizing a Changed Industry

Another National Association of Broadcasters (NAB) conference is in the books, and if anything has changed in the media and entertainment industry, the conference and attendees were there to discuss it. From content evolution to changes in audience preferences to AI being everywhere, to trade uncertainty, it was a topic of conversation at NAB 2025. Official categories included: Artificial Intelligence, Cloud Virtualization, Creator Economy, Sports, and Streaming. If a general conclusion could be drawn, it’s that the legacy media business no longer cuts in today’s market, and to survive these new realities, businesses must rethink how they fit in.

Everything Is Changing

One of the biggest takeaways from NAB is the impact the creator economy is having on the industry. Dozens of panels focused on how individuals and small-team productions have upended traditional business models and economics, attracting large audiences from traditional producers while also siphoning away ad revenues and production contracts. Recognizing this trend, hundreds of exhibitors demonstrated how their products or services support all types of creators while also providing benefits to traditional media companies. The NAB also introduced two new initiatives to support this growing sector: the Creator Council and the Creator Lab.

In a keynote session, media cartographer Evan Shapiro highlighted the extent of the shift, pointing out that by 2027, the creator economy is expected to grow to half a trillion dollars, nearly doubling its value from last year ($250 million). Shapiro, recognizing the difference between the creator economy and influencers, cites their effectiveness in attracting and engaging large audiences without having to deal with “gatekeeper-led content.” His final point was that this new reality presents the M&E industry with two options: embrace it or get left behind.

Market and Regulatory Uncertainty

The current uncertainty in global trade markets and the impact of tariffs on product purchases has cast a significant chill on many exhibitors at NAB. This was especially true for those companies whose products were manufactured or included parts from impacted countries or markets (services are not yet subject to tariffs). Many companies encouraged customers to expedite purchases to take advantage of existing inventories and avoid significant cost increases as tariffs are implemented. Attendees and speakers also expressed concerns about how regulatory changes from the FCC and regulators in other countries might impact  children's television programming, the news distortion policy, technical rules (e.g., ATSC 3.0), and TV carriage rules (e.g., non-duplication, and syndicated exclusivity).

Monetization Evolves as Markets Evolve

The continued growth of OTT/FAST and the rapidly expanding creator economy means competition for eyeballs and ads will only become more intense. Evidence of this was on clear display during NAB 2025:

  • Traditional Broadcast Disruption: The rise of streaming services and changing viewer habits are challenging traditional broadcast models, necessitating a reimagining of revenue strategies.
  • Fragmented Audiences: The audience is increasingly fragmented across linear streaming, on-demand platforms, and traditional broadcast, making it more difficult for advertisers to reach consumers effectively.
  • Hybrid Models: Streaming services are increasingly adopting hybrid monetization models, such as AVOD or FAST, to supplement their subscription revenues.

A key component of all of these strategies is high-fidelity metadata. Without it, content marketing, search, and discovery, as well as contextual advertising, are much more difficult to achieve. With it, compliance, brand safety, and audience acceptance increase significantly.

AI Everywhere

Artificial Intelligence (AI) and its increasing impact on content creation, marketing, and virtual production were everywhere at NAB 2025. Nearly 300 exhibiting companies from around the world demonstrated products that included or were enhanced by AI across every phase of content production, marketing, advertising, and distribution. Among them, Spherex highlighted its flagship product, SpherexAI, and demonstrated how it is transforming global video compliance and contextual advertising through scene-level intelligence and cultural insight. It also facilitates ad placement where they will resonate and yield better audience results.

The takeaways from NAB 2025 paint a clear picture: the media and entertainment landscape is in constant flux, demanding adaptability and innovation for survival. The undeniable surge of the creator economy, coupled with market and regulatory uncertainties and the evolving monetization models driven by streaming, presents both challenges and opportunities for traditional and new players. Overlaying all of this is the pervasive influence of artificial intelligence, poised to reshape every facet of the industry.

Ultimately, NAB 2025 underscored a fundamental truth: standing still is no longer an option. The future of media and entertainment belongs to those who embrace change, leverage new technologies, and understand the shifting dynamics of both content creation and audience engagement.

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