Coke, NFL, Google: Why Top Studios Are Embracing Generative AI | BeKnown

There is a story that keeps getting told in marketing circles, and it is wrong. The story goes something like this: generative AI is eating the production industry, agencies are scrambling, and the next wave of brand commercials will be made by prompt engineers instead of directors. It is a clean narrative, and it makes good headlines. It also bears almost no resemblance to what is actually happening on set at the studios doing the most interesting work in 2026.

A new Ad Age feature walks through how top production companies are using generative AI on campaigns for Coca-Cola, the NFL, and Google. Read it carefully and the real story jumps off the page. Every studio cited has a senior creative director making the final call on every frame. AI is not replacing the director’s chair. It is quietly rebuilding the workflow around it.

1. What Top Studios Are Actually Doing

The Ad Age piece is refreshingly specific. It does not hand-wave about “AI in production.” It lists actual workflow steps where generative tools are now the default inside award-winning studios working on brands at the Coca-Cola and NFL tier. Pre-visualization that used to take two weeks now takes an afternoon. Storyboard generation that used to sit in a junior artist’s queue now iterates in real time with the director in the room. Environment extension in post that used to cost six figures now costs five and turns around in days instead of weeks.

Asset variants are another big one. A single hero spot for a Google campaign used to generate maybe twelve cutdowns for paid media. Today that same hero generates sixty or eighty variants across formats, aspect ratios, and localized languages, with humans reviewing and approving every one. Dub localization, which used to be a bottleneck for global brands, now ships in parallel with the master cut instead of eight weeks later. Motion design assists that speed up title cards, lower thirds, and transitions are baked into every project.

Quick diagnostic

• If your last production partner described their AI workflow in generic terms (“we use AI for efficiency”) instead of naming specific steps, they are selling, not working.

• If your brand commercials still ship with twelve cutdowns instead of sixty-plus variants, you are paying full production cost and getting half the media fuel.

• If dub localization is still a separate eight-week line item on global campaigns, your workflow is a decade behind the studios doing the Coke and NFL work.

The throughline across every studio Ad Age cites is the same: AI compressed the production sandwich on both ends (pre-viz and post) while leaving the creative center—the actual directing of humans, lenses, light, and performance—completely intact.

2. The Three Roles Generative AI Plays Well

When I look at where generative AI is actually earning its keep in a production workflow, it lives in three places. Name them so you can brief against them.

Pre-production. Storyboards, pre-viz, look development, treatment decks. Tools that used to require a week of concept art now iterate in hours. The creative payoff is not the speed—it is the number of options a director can explore before committing to a single vision. More options, better final choice.

Production. Environment extension, generative b-roll for library shots, virtual locations for sequences that would have cost a full location day. On the Coke and NFL work, this shows up as backgrounds, crowd extensions, and stadium reveals that used to eat a third of the budget.

Post-production. Variant generation, localization, color and motion assists, rough cut assembly, asset management. This is where the dramatic hours-saved numbers come from. A good post workflow with generative AI in the pipeline delivers two to three times the finished asset output per dollar, without sacrificing craft—if the director and colorist are still in the room.

3. The Three Roles AI Still Cannot Fill

Every serious studio in the Ad Age piece draws the same line in the same place. There are three roles generative AI is nowhere close to filling, and the studios winning brand work at the Coke/NFL/Google tier are the ones most aggressive about protecting these roles from automation.

Direction on set. Reading a room, coaching a performance, making a call on a light change in the middle of a take, deciding when to push and when to pull back. Every senior director I have worked with uses roughly the same phrase: AI gives me more options; direction is still the job.

Original concept and brand storytelling. Generative AI is a brilliant remixer and a mediocre originator. It is very good at producing variants of something that already exists. It is poor at producing a story that has not been told before for a brand that needs exactly that story. The strategic work of figuring out what a brand should say—and then saying it in a way that is unmistakably theirs—is still a human job, and one where the best studios are actually hiring more senior creatives, not fewer.

Talent performance and emotional craft. Actors, athletes, musicians, real people on camera. The Coca-Cola spot everybody remembers is not remembered for the environment extension. It is remembered for a three-second reaction from a human being who felt something real. AI cannot fake that, and the best directors in the business are not trying.

Generative AI is a brilliant assistant and a terrible director. The studios that figured that out are winning the brand work that matters—and the brands that figured it out are hiring them.

4. How Mid-Market Brands Should Think About AI in Production

If you are a CMO or brand marketer thinking about your next production cycle, stop asking the wrong question. The wrong question is “should we use an AI-first studio or a traditional production company?” The right question is “what is the workflow, and who makes the creative calls?”

Hire production teams who use AI consciously and selectively, not teams who avoid it (expensive, slow) or teams who lead with it (unaccountable, generic). The best partners in 2026 are hybrid. They have a full production crew and a post supervisor who can tell you, with specifics, which steps of your project will be AI-assisted and which steps are strictly human. If a pitch cannot answer that in one meeting, pick a different partner.

Insist on brand guardrails. Every AI-assisted asset should go through the same brand review as every human-made asset—no shortcuts, no exceptions. The fastest way to damage a brand in 2026 is to let a variant-generation tool ship a hero asset that technically matches the brief and completely misses the brand voice. That is how you get a viral thread about your commercial for all the wrong reasons.

Minimal viable move

• Before your next production cycle, ask three prospective partners to walk you through their AI workflow step by step. The one who gives you specifics wins.

• Budget expectation: AI-assisted production typically delivers 30–50% more output per dollar than pure-human workflows, without cutting craft. Spend the savings on more variants, not a lower invoice.

• Inside BeKnown Commercial Production, we use AI consciously at the pre-viz and variant-generation stages and keep every directing decision, performance call, and final approval strictly human. If you want to see how that plays out on real campaigns, the case studies show the before and after.

5. What This Means for the Industries We Work In

For automotive and motorsports clients, the biggest unlock is environment extension on driving sequences and pre-visualization of stunts and beauty shots before the location day. We used to burn an entire shoot day chasing a sunset angle. Now we pre-viz the angle, scout around it, and walk onto set already knowing the shot. The craft is the same. The hit rate is dramatically higher.

For roofing, solar, and home services clients, the practical win is variant generation. A single hero shoot can now produce hundreds of paid media variants covering different homes, different regions, different offers, and different CTAs—with every variant running through brand review. The cost per finished asset drops. The creative fatigue problem that kills paid media programs disappears. And the sales team still gets the polished hero spot for the homepage.

For aesthetics, cosmetics, and healthcare clients, the opportunity is controlled localization. A cosmetics brand shipping a campaign across five countries used to wait eight weeks for dubs. That window is now under two weeks, with human review on every language. For tech and enterprise clients, the play is pre-viz on complex product launches—getting stakeholders aligned on the creative vision before a single dollar gets spent on the shoot itself.

Frequently Asked Questions

Will generative AI replace production crews?

Some roles will compress—rotoscoping, basic VFX, dub localization, and certain motion design tasks are already heavily automated. The core crew roles (director, DP, gaffer, grip, production designer, talent) are not going anywhere soon. The studios winning brand work at the Coke/NFL/Google tier are actually hiring more senior creatives, not fewer, because the bottleneck has moved from execution to creative direction.

Is AI-assisted production actually cheaper?

It is more efficient per dollar, which is not the same thing. Expect roughly 30–50% more finished output for the same invoice. Whether that shows up as cost savings or as more media fuel depends on what you do with the extra capacity. The brands getting the most value spend the efficiency on more variants and more localization, not a smaller invoice.

How do I brief a production team that uses AI?

Start with the same creative brief you would write for a traditional team. Then ask the production partner to walk you through explicitly which steps will be AI-assisted, which steps will be strictly human, and how brand review fits into the workflow. A good partner will answer in specifics within one meeting. A partner who cannot is selling you a workflow they do not actually run.

Closing thoughts

Generative AI is the most interesting thing to happen to production workflows since digital cinema cameras. It is also the most misunderstood. The studios doing the best brand work in 2026 treat it as a set of tools inside a larger craft—tools that make directors more powerful, not less necessary. The brands that figured this out are getting more finished work per dollar and better final craft than the brands still debating whether to “use AI or not.”

Pick the partner who can walk you through the workflow. Protect the three roles AI cannot fill. And expect more, not less, from every production cycle.

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