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Date:
October 4, 2023

The State of AI in Media and Entertainment

Insights from IBC2023

It's hard to believe nearly a year has passed since Generative AI's coming out party. The WGA and SAG-AFTRA strikes had AI at the center of their negotiations. Industry conferences, including the recently concluded IBC 2023, spent many hours discussing, publicizing, and revealing Generative and Predictive AI products. The investor community is intensely focused on it, investing a reported $91.9B in the industry last year. Academics and regulators try to understand and predict AI's impact and influence on society, and critics wonder if Gen AI might be this year's NFT. AI certainly has people's attention.

Attention is one thing, but utility is another. The questions people need to ask are: how useful is it, and what are the risks? We've written before on AI in M&E here , here , and here , discussing many of these issues. AI was a significant topic of discussion at IBC, and here are a few observations on the state of AI in M&E in 2023.

The Promise of AI for M&E

John Footen, Managing Director for Media & Entertainment at Deloitte, was one of many IBC 2023 speakers to express the industry's hopes for AI. "AI has possibilities in production/post-production and distribution. An AI that creates or adjusts content based upon who is in the room, the story, the culture, and the language has a future in the industry." He said Generative AI "could" blur or remove blood from horror movies to allow it to show in markets where such content is prohibited. Thus, AI could simplify creating optimized releases for any market or platform and be built into smart TV operating systems.

Other AI applications are aiding the targeting of specific advertising based on who's watching a show, analyzing data to make better content recommendations to consumers, translating languages in real-time, and generating new audio, video, and effects content creation on demand.

Some of these technologies are already coming to market. The new Ryoo Seung-wan film "Smugglers" uses Flawless' Generative AI tools, referred to as "visual translation," to graphically modify mouth movements to precisely sync the English dub onto the Korean actor's faces; it is the first full-length film foreign-language application of the technology.

AI Limitations

Clint Eastwood's iconic line from the film "Magnum Force" was, "A man's got to know his limitations." This admonition certainly applies to the adoption of AI technology, especially now. While products are being released that use AI, experts warn relying too heavily on new technologies presents risks that must be thoroughly understood before making a significant commitment.

Garrett Goodman from Papercup put it this way. "The barriers of entry (for AI) into localization are low," he said, "because there are plenty of models available for simple language translation. But it's more complicated than that. The source data used in training is an important factor because, with incomplete models, it's easy for a machine to miss something a human would catch instantly." He went on to say that even with their investment in developing smaller, specialized models using voice actors and experienced translators, when it comes to localization, "the human touch" remains a critical component of their product delivery.

The new WGA agreement establishes guidelines for the use of AI in the writing process and recognizes both its challenges and risks:

  • AI can't write or rewrite literary material, and AI-generated material will not be considered source material.
  • A writer can use AI when performing writing services if the company consents and provides that the writer follows applicable company policies. Still, the company can't require the writer to use AI software (e.g., ChatGPT) when performing writing services.
  • The company must disclose to the writer if any materials given to the writer have been generated by AI or incorporate AI-generated material.
  • The WGA reserves the right to assert that exploitation of writers' material to train AI is prohibited by MBA or other law.

The Early Results Are In

AI has begun to transform our lives and our businesses. The extent to which AI impacts M&E has yet to be determined, but, as we have seen, content localization is one sector already acknowledging the benefits. As a provider to the industry of manual content analysis and age-rating services for years, Spherex recognized the promise AI/ML had in improving efficiency, expanding territories, and enhancing workflows. After three years of development, Spherexgreenlight™ was released in October 2021 and revolutionized how content is prepared for international distribution. Since then, the Spherex AI platform has won numerous industry awards and has been approved by regulators worldwide as the one public tool available to any content company seeking regulatory approval for any film or TV title.

If you want to learn how AI can help you distribute your content globally, please click here or email sales@spherex.com

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.

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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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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