tl;dr: Your $500K campaign costs $5K now
We now have enough data to create a longitudinal study of Runway’s impact at some of the world’s largest enterprises. We analyzed hundreds of enterprises using Runway for media production and measured the impact of adopting AI from a cost and time savings perspective, as well as from a creative and business impact perspective. Savings figures were reported by the customers themselves, measured against what they spent on the same work the previous year. Examples are anonymized at customers' request.
We define media here as a broad term that encompasses AAA feature films, advertising, brand content, games, editorial and pretty much any category of creation where you are shipping pixels in some concrete way.
The most consistent finding for Runway enterprise customers is that costs of production tend to fall by two to three orders of magnitude and the timeline collapses with it. That pattern holds true across broadcasters, game publishers, retailers, agencies and consulting firms, among others.
A national financial services brand used to spend north of $5M producing a broadcast commercial. Its first AI-generated campaign with Runway cost $3–4K and aired on NFL Sundays. A leading home goods retailer now replicates $800K visual projects for under $10K . A global consulting firm rebuilt a $300–600K client campaign for roughly $3K, inside a 2-day RFP window. At the small end of the scale, a US cable network turned a $10–15K-per-season end-credits process into a ~$10 automated run.
Models are now pixel ready for final frame. Runway-generated work has aired on national television with an on-screen AI credit, run during major sport events, appeared in final trailers for a major IP franchise and won industry awards. In gaming, a 16.5-minute AI-generated story film earned an executive greenlight, and AI-generated hooks beat existing hero creatives in direct A/B tests.
The data shows pretty clearly that usage has transformed the way media is made across industries. A home goods retailer is shifting a $5–6M annual production budget from traditional to AI. A Fortune 50 technology company saves $97K a month on photoshoots alone.
Speed matters as much as costs. We often hear cases like the one from a global agency holding company, that compressed social content production for an iconic US insurance brand's mascot from 2–3 months to 3 hours, covering video generation, voice cloning and lip sync end to end. That's around a 720× compression.
At every scale, we see a similar pattern. A mobile studio licensing major superhero IP replaced a 4–5 person, 2-week asset pipeline with one person working under 3 hours. A AAA game publisher cut concept design from 30 days to 1. A European broadcaster runs VFX for live productions 3× faster than its traditional pipeline.
The best single illustration of what these gains add up to is a major game studio's performance marketing team. They built a fully automated pipeline that runs from trending topic through asset generation and legal review to publish in under one hour. Weekly ad output went from 13 to 75–100 with the same team, and three of the AI-generated creatives directly drove measurable downloads and revenue. Recent AI-made ads for the studio's flagship fantasy title ranked among the top performers in the entire market, per third-party data.
The same decoupling shows up everywhere in our data. A UK broadcaster's 5-person AI team produces 800–1,000 ads a year across 50+ sub-labels, saving 46,000 hours organization-wide. A global travel platform generated roughly 8,000 property videos via API. A global sportswear brand delivered a full back-to-school campaign after its budget was cut 75%, processing 210 products a day at about $13 per product, 9 videos each. Output basically stopped being a function of headcount and became a function of pipeline design.
One interesting behavioral changes is that you might expect deployments to stall after pilots or testing. The opposite is happening. A global consulting firm grew from 20 to 100 seats in a year and now consumes 500K credits every two weeks. A Nordic national broadcaster is expanding from 20 to 50 seats. A global production group hit 96% seat activation at renewal across 70+ production companies. And at the agency holding company, Runway is embedded in a group-wide AI platform serving 5,000 daily active users across 35,000+ employees.
Adoption is also getting written into hiring. The CEO of a leading online education platform, one of the largest US advertisers by asset volume, made Runway a mandatory skill in every creative job description:
In the most mature accounts where AI-generated work has become the primary production mode rather than a supplement. A home goods retailer generates 75% of all visual media with AI. A AAA game publisher produces 50% of all marketing for its flagship shooter franchise in Runway consuming 326K credits in a single month. An independent film studio builds full-film animatics that are 80% generative video before a frame of live action is shot.
Runway is allowing some of the world’s largest enterprises to significantly bring down their production spend and timelines in ways never before thought possible. And while that alone is reason for all other enterprises to quickly follow suit, what’s more compelling to me is what comes next: the creative and strategic unlocks that brands and agencies are set to benefit from. The ability to create hyper-customizable and targeted creative. Produce real-time reactive content at the highest brand standards. And even begin to explore entirely new content approaches and formats that were never before possible for brands to even consider.
So, while this study highlights the very real, very meaningful savings that some of the world’s biggest enterprises have achieved with Runway, I actually believe it signals something much greater: we’re at the precipice of a new creative revolution. And much like when Bill Bernbach redefined Madison Avenue so many decades ago, it will be the big ideas that win the day. Because when we’re unburdened by cost and time pressures, we actually have the opportunity to make new things.
