AI filmmakers are one of the MOST in-demand people in the creative industry right now. This is the dilemma right now.
There are NOT enough AI filmmakers, partly because being really good at editing, cinematography, AND actual AI skills is a LOT to master. The very best AI filmmakers are very rare.
There are 6 entities that are hunting for them, causing a squeeze in the job market:
> Big studios - want to hire AI filmmakers for experimental and research projects
> AI studios - they’re experiencing demand for their own projects and clients and need AI filmmakers to train and work on those projects
> AI tool companies - want to hire AI creative directors and filmmakers to showcase their tools
> AI streamers - who want to fill up their catalog with AI content
> Ad Agencies - nobody cares if an ad is made with AI. Agencies are training up their own people to do AI to cost save on ads and…
> Brands - are demanding quicker, cheaper, and more variety and since it’s so easy, they’re also hiring to tinker and even shorten feedback timelines
While one side of the creative industry is losing jobs, demand in this industry is exploding and not abating. AI skills are very easy to learn but VERY hard to master.
Ridley Scott brought a foreigner’s enraptured eye to the mythic American West, capturing its magnificent, sun-baked landscapes with a breathtaking, almost mythic romanticism. I particularly loved how it effortlessly transcended the conventions of the traditional road movie and the classic Western. Guided by Callie Khouri’s terrific script, the film blossomed into a deeply affecting surrogate mother-daughter narrative in which its two heroines beautifully, and tragically, traded roles on their journey toward liberation.
At the picture's beating heart were Susan Sarandon and Geena Davis, who delivered fantastic, genuinely luminous performances as two thoroughly ordinary women forced by circumstance into the lives of outlaws. They grounded the film's grand scale with an irresistible blend of grit and vulnerability. The supporting cast was equally superb, anchored by Michael Madsen’s rugged authenticity and a wildly charismatic, star-making turn from Brad Pitt...a revelation that served as his introduction to most of America. The result was a profoundly moving cinematic experience that didn't just entertain, but left a seismic and lasting impact on our cultural landscape at the time.
Here’s another pretty wild story from one of the world’s largest e-commerce companies on the impact of adopting Runway:
They now generate 75% of all visual media with AI, replicating projects that previously cost $800K for under $10K, saving $30K per product shot, and shifting a $5–6M annual production budget from traditional production to AI.
That's the way.
Consistently funny for years. Good for them. Like Backrooms, Obsession, etc... this is just another example of people not waiting around for opportunities and showing their voice, creating original content, etc. Don't wait around, the cavalry isn't coming.
We are pumped to officially announce Advanced AI Filmmaking 2.0.
We teamed up with Kavan Cardoza (@Kavanthekid) to rebuild this entire course. This will be completely new workflows, tools, and more, all geared toward helping you learn the AI Filmmaking techniques that Kavan has been using at the highest levels.
Our exclusive Beta Pricing goes live on Wednesday, May 27th, and ends on Wednesday, June 3rd (when training officially starts).
Join the waitlist to make sure you can take advantage of the Beta Pricing.
Check out the course here: https://t.co/JhSmmOz93k
Barry Lyndon (1975) looks so soft because Kubrick did not want normal daylight; he wanted the right daylight. Many outdoor scenes had to wait for cloudy skies, proving that even the weather had to fit the painting.
Live from Code with Claude: we're launching dreaming in Claude Managed Agents as a research preview.
Outcomes, multiagent orchestration, and webhooks are now in public beta.
One big misunderstanding with most video models is that style isn’t just about making things look pretty or visually different.
The style of your assets actually influences how the model interprets and animates them.
For example, with Seedance, if your asset is perceived as 2D, the model will naturally lean toward animation patterns associated with 2D material in its training data. If the asset feels more 3D, it will tend to animate it closer to the statistical “average” of 3D animation, which often removes some of the fluidity, stylization, or graphic qualities that made the original feel 2D in the first place.
That’s why some generations suddenly feel stiffer or less expressive, even when the prompt itself hasn’t really changed. The model is reacting to how it interprets the asset visually.
And this matters even more in hybrid workflows.
Your aesthetic choices influence everything downstream, including the kind of concept artists, animators, technical directors, or advisors you’ll want around the project when AI is only part of the pipeline.
Stripe just created a role that didn't exist 12 months ago (and they're paying multiple six figures for it)
It's called the Forward Deployed AI Accelerator.
They are hiring AI-native individuals to work directly with their marketing teams to fundamentally change how they work.
Each person will be assigned to a cohort of 20 marketers. Their job is to build custom AI tools and agents and coach each marketer until they are self-sufficient.
Basically, work with marketers until they automate their jobs.
Stripe's marketing org is betting that AI should not be an occasional tool but the default mode for all work.
But they also understand that most employees won't upskill themselves. They'll need someone who is embedded within their teams to build alongside them.
If you are AI-pilled, this is probably the role for you.
And this also gives a clear picture of where every organization within a company is heading.