Three AI Trends Reshaping the Future of Media & Entertainment

AI
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The annual NAB Show brings together the top innovators in media and entertainment, showcasing the tools, tech, and trends driving the next era of storytelling.

Aside from the tens of thousands of attendees and hundreds of featured sessions, what really set this year’s event apart is that it wasn’t just a display of newfangled tech—in many ways, it was about redefining how entertainment content is created, localized, and ultimately consumed across the globe.

The key takeaway: storytellers are no longer asking if AI will play a role in the future of content. It’s a question of when, how, and just how much.

That’s not just my speculation. Walking the showroom floor and attending enlightening panel sessions, I personally witnessed AI’s domination as the central theme of the event. It quickly became clear that we can expect generative and agentic AI-powered technology to be widely embraced, not just as functional enhancements, but as strategic assets for driving scale, creativity, and profitability in the entertainment industry.

Here are three of the most important trends I nabbed from the 2025 NAB Show:

Tiered Generative AI Adoption
While generative AI is still a widely scrutinized addition to the Hollywood playbook, the 2025 NAB Show highlighted a growing comfort with this technology. The industry is beginning to adopt a more nuanced, tiered approach to integrating GenAI, both in functional workload processes as well as helping creatives bring their visions to life with even more verve and depth.

The basic, lower-level adoption tier is largely functional, where repetitive or resource-intensive production tasks can be outsourced to AI without compromising artistic integrity. At the top, we’re seeing deliberate uses of AI in artistic enhancement processes such as visual effects or color grading – artistic, purposeful, and story-driven.

Consider the 2024 film The Brutalist, which controversially used AI to subtly enhance the Hungarian accents of the lead actors. The choice was ultimately made to serve the director’s wider creative vision, while the actors held full agency over the power and emotion of their performances—AI just helped emphasize the authenticity.

This gradual acceptance isn’t just about the maturation of AI tools. It reflects a shift in mindset, driven largely by the post-COVID pressure placed on studios to produce more content, faster, and at lower costs. By adopting AI-enabled tools, studios can continue to produce content at the speed and standards demanded by viewers amidst growing pressure to compete with social media, user-generated content, and video games.

Agentic AI
Capitalizing on the mass momentum of GenAI, agentic AI has emerged as the next advance in how studios and streaming platforms can redefine post-production, improve localization, and even improve how viewers experience content.

Unlike traditional automation tools, agentic AI systems can adapt dynamically to changing workflows, objectives, or data, all without human prompting. For post-production, this tech can automate tedious tasks like audio leveling or timecode tagging, which is especially useful in unscripted or documentary content where hours of footage need to be parsed and indexed quickly.

For localization, agentic AI can fine-tune dubs or subtitles in real-time based on cultural context, genre, or regional preferences, ensuring a more authentic, resonant experience for viewers worldwide. Agentic AI can also optimize delivery across various platforms, ensuring the right content reaches the right audiences, while tailoring recommendations based on user behavior and preferences.

As media companies look to scale content more efficiently, agentic AI is poised to become an indispensable ally. Regardless of how much AI is used in content creation, this powerful tech is empowering creative teams to enhance operational speed and tailor experiences to an increasingly globalized audience.

Real-time Monetization
Some of the most future-forward conversations at NAB centered around monetization and real-time engagement. As live content becomes an increasingly valuable asset, studios and streaming platforms are looking for ways to expand global reach during these high-exposure events.

Live dubbing and real-time language localization are emerging as key solutions.

Powered by advanced AI voice models, these dubbing tools can make global distribution instantaneous. With sporting events, news, and interactive events opened to new markets, broadcasters can unlock new monetization opportunities unhindered by the slow, costly post-production loop that can cause events to lose value soon after they air.

For small and mid-sized studios especially, these agentic and generative AI innovations represent a pathway to compete at scale and find new audiences without the traditional overhead.

“Where content comes to life…”
The tagline for NAB’s annual trade show reflects what should be the ultimate takeaway any time new technology shakes the foundations of the media and entertainment industry. In the right hands, any innovation – AI or otherwise – can enable storytellers to do what they do best as effectively as possible and meet viewer expectations without compromising on art, quality, or the bottom line.

NAB 2025 made it clear that AI will usher in the next era of how artists bring content to life, pushback be damned.

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Oz Krakowski
Chief Business Development Officer at Deepdub

Oz Krakowski is leading Deepdub's business development and strategic sales. Before joining Deepdub, he was co-founder of a startup in the healthcare market. He lives in Dallas Texas for the past 16 years where he completed his Executive MBA program at Southern Methodist University.