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Widening the media landscape: Why Hollywood and games are rewriting the rules

June 15, 2026
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Buzz Hays

Global Lead, Entertainment Industry Solutions, Google Cloud

To meet rising consumer expectations, businesses must use generative AI and agents to scale personalized, cinematic-quality video.

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For the last century, media was a destination. You went to a theater to see a movie, grabbed a roll of quarters at the arcade to play a game, or sat on a couch to watch a TV show. The media industry was a walled garden, with high barriers to entry, massive budgets, and specialized craft.

Today, that wall has largely disappeared. Media is no longer a vertical industry. It’s a horizontal layer that sits atop the global economy, and the ability to generate and distribute high-quality video has become important to every business sector.

Examples are everywhere. A banking app uses video to explain a mortgage. A history lesson uses animated storytelling to bring a historical period to life. Retail has become a 24/7 livestream. Every company is effectively a media company now, and the rules are still being written by three pioneers: media & entertainment (M&E), games, and advertising.

The new consumer benchmark

The adoption of cinematic-quality video in sectors like healthcare & life sciences and financial services is a direct result of consumer conditioning by Netflix, PlayStation, and the streaming era. Audiences' eyes have been sharpened by 4K streaming and 60fps video games, and that sets the benchmark for every brand. When someone opens a banking app or a retail site, they bring the same expectations they bring to a feature film: narrative, emotion, and cinematic polish.

Two shifts from the pioneer industries are driving this change: media has become social, and it has become deeply personal.

Video games: from watching to inhabiting

Games moved beyond entertainment into a primary social space. People don’t just want to watch content. They want to step inside it and interact with it. That expectation has carried into other industries. In travel, the goal is to sell the feeling of a destination, not just a booking. Customers now expect a video itinerary, a short trailer showing them at the hotel or on the beach, instead of a static email confirmation. In retail, a virtual try-on is no longer just a shirt overlay; it can be a full video of the customer trying on a complete outfit or seeing a piece of furniture live in different areas of their space.

Advertising: from broadcast to personalization 

As consumers use AI tools on a daily basis, their expectations for how brands engage them are shifting toward context-aware personalization and utility. Ad tech is rapidly evolving to help brands meet this moment.

If the entertainment industry set the benchmark for video quality, advertising is writing the rules for video scale and relevance. Mass broadcasting is giving way to precision-targeted video across every consumer touchpoint. Today, a global brand doesn't just broadcast a single cinematic commercial; it uses agentic AI to generate, orchestrate, and measure 10,000 distinct video variations — tailoring local landmarks, context-aware offers, and dynamic messaging for each market. 

Meeting the demand with generative AI

This new expectation creates a real opportunity. Audiences want high-quality, personalized content at a volume that traditional production timelines and budgets cannot deliver. A bank that wants to send a personalized video alongside every mortgage email, or a retailer that wants highly personalized ad creatives based on audience and channels, needs a different kind of production model.

The temptation, of course, is to fill that gap with generic AI output. The leaders in M&E are showing a better path: using generative AI to extend the work of creative teams, not replace them. Models like Google DeepMind’s Veo, Imagen, and Nano Banana help studios and brands build production pipelines that hold the line on quality while expanding what’s possible at volume.

Google's generative models target the specific production bottlenecks that show up when teams try to produce quality content at enterprise scale.

  • Veo (video generation): Veo creates high-quality video from text and image prompts. In healthcare & life sciences (HCLS), it can generate quality animation that would otherwise not be possible to explain a drug's mechanism of action (MoA) at the molecular level. In retail, Veo can simulate product physics: how fabric moves in a virtual try-on, or how a tent behaves when pitched in the rain or on a beach. In travel, Veo works with Neural Radiance Fields (NeRF) to turn flat 2D destination photos into navigable 3D video tours, giving travelers a sense of a location before they book. Veo and Imagen are also available on Agent Platform, enabling businesses to generate thousands of product-centric variations from a single prompt or image.

  • Imagen & Nano Banana (image and background generation): Imagen 4 and Nano Banana 2.5 generate high-quality backgrounds and visual assets quickly. Retailers can produce on-brand product backgrounds without a photo shoot. In travel, Agoda uses Imagen to generate destination imagery for its AI Vacation Planner, which is powered by Gemini.

Where AI agents fit in

The next layer is goal-directed AI agents that automate the work around content production, freeing creative teams to focus on the work that needs a human. Agents are already showing up across financial services, retail, telecommunications, healthcare & life sciences, games, and manufacturing.

  • Compliance and safety agents: These matter most in regulated industries. In financial services, strict compliance agents can check generated content against SEC/FCA rules and sensitive data like interest rates before it reaches customers. In the telecommunications industry, AI agents automatically review all generated marketing content against industry regulations and brand guidelines, ensuring every ad is compliant before it reaches a customer. In advertising and consumer packaged goods, brand compliance agents check every localized video against the parent company’s color palette, tone of voice, and global brand guidelines, even when a campaign generates 10,000 local variations from a single creative concept.

  • Marketing agents: Agents are reshaping how creative production works. The traditional, linear approach to campaign development (ideation, moodboards, and storyboards) is evolving into a dynamic model where teams can generate near-final concepts immediately and in high volume. Instead of manually producing variations, marketers can use agentic workflows to take a core concept and instantly adapt it across specific audiences, geographies, seasonal events, and product lines. These assets are then deployed directly into live campaigns in real time. This setup changes how A/B testing works: instead of waiting weeks to analyze performance data, live signals trigger agents to generate and deploy optimized video variants in real time. Throughout this accelerated cycle, tools like DeepMind’s SynthID add transparency through watermarking, while the Gemini Enterprise Agent Platform orchestrates the continuous performance feedback loop. Ultimately, these agentic capabilities are being integrated directly into tools like Google Ads to assist businesses with end-to-end workflows — from strategy development and campaign creation to media planning, buying, and reporting.

  • Utility and service agents: Agents are also showing up in customer service and operations. In telecom, a Gemini Enterprise agent running at the edge can generate a short, personalized video walking a customer through resetting their specific router model. In manufacturing, multimodal models can read a technical schematic and produce a 10-second video showing a technician exactly how to fix a broken part, which helps less experienced staff get up to speed faster.

What’s next

The shift is already underway. Media and entertainment, games, and advertising pioneered both the creative standard and the technology that delivers it. Those tools are now spreading across the global economy.

The ability to produce cinema-quality video at scale is now within reach for organizations of every size, thanks to generative AI and agents. To explore how Veo, Imagen, and Gemini Enterprise can fit into your content production, visit the Gemini Enterprise Agent Platform page and start with the use case closest to your business.

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