The tools are getting better every quarter. That part isn't really in dispute.
What's interesting is the gap between two conversations happening in parallel: one from the engineers and executives building the platforms, who talk about democratization and volume and access; and one from the independent filmmakers actually using the tools, who keep landing on a different question — what are we gaining here, and what are we trading for it?
Three published sources from 2026 put that gap in sharp relief.
"If you hand over the keys to AI, that's what you're going to get"
Brad Tangonan is an indie filmmaker who made Murmuray using generative AI tools. In a TechCrunch feature on AI-assisted filmmaking — published in February under the headline "AI's promise to indie filmmakers: Faster, cheaper, lonelier" — he made the practitioner's case directly:
"I see all of these tools, whether it be a camera you can pick up or generative AI, as ways for an artist to express what they have in their mind."
And on the criticism that AI generates generic output:
"When people see 'AI slop' online, it's a lot of lowest common denominator stuff. And, yeah, if you hand over the keys to AI, that's what you're going to get. But if you have a voice and a creative perspective and a style, then you're going to get something different."
That's not a defense of the tools — it's a defense of the filmmaker. Tangonan's framing is that the tool is inert without a point of view driving it. Which sounds obvious, and probably is, but it also cuts against the anxiety that AI video is homogenizing creative output by default.
His fellow filmmaker in the same TechCrunch feature, Hal Watmough (director of You've Been Here Before), arrived at a more complicated place. He's pro-tool in the big picture — "The film industry is floundering because people aren't innovating and everything costs too much. We need tools like this for it to survive. I think it's essential that people engage with it" — but troubled by the specific shape the engagement takes:
"I know I'm a one-man band, and I just made all this by myself…but that should never be the way that anyone tells a story or makes a film. It should be a collaborative process because the more people that are involved, the more accessible it is by everyone and the more it reaches and connects with people."
"Faster, cheaper, lonelier" is the TechCrunch headline. Watmough is why.
The tools lower the barrier to production. They also lower the headcount. Those two things happen together, and for filmmakers whose entire creative philosophy is built around collaboration — the crew, the actors, the editor, the production designer — that's not a minor footnote. It's a rearrangement of what making a film is.
Third filmmaker in the same piece, Keenan MacWilliam (Mimesis), put the underlying value question cleanly:
"I think efficiency in general is not the best friend of creativity."
"Imagine taking a hundred million dollars and spending it on 50 movies"
On the founder side, Runway CEO Cristóbal Valenzuela has been making a different argument entirely — and making it at volume.
Speaking at Semafor's World Economy Summit in April, quoted by TechCrunch:
"If you're spending a hundred million dollars on making one feature film, which is 90 minutes, imagine taking a hundred million dollars and spending it on, like, 50 movies. Same quality. Same amount of output, visually."
He added: "There's a crisis of creativity in the industry because of the economic incentives of how the content is made. It's a quantity problem."
This isn't the same conversation Watmough and Tangonan are having. Valenzuela isn't arguing about creative voice or collaborative process — he's arguing about portfolio math. Concentrate risk into a small number of expensive bets and you get a system that produces fewer shots at a hit. Spread the same budget across more bets at lower cost and your odds improve.
That's a coherent thesis. It also describes a world where the individual film matters less than the slate — which is, at minimum, a different aesthetic regime than the one most working filmmakers are operating in.
Worth noting that Valenzuela has also been explicit about where Runway's ambitions point beyond video: the company is building toward what it calls "world models," with applications in gaming, robotics, and general AI systems. AI video, in that framing, is the current surface of something much larger.
"Much more deeply embedded in everyday marketing and creative workflows"
The enterprise signal arrived loudest on August 17.
Higgsfield — which aggregates access to Kling 3.0, Veo 3.1, Runway, and a suite of other models under a single subscription — raised $400 million at a $5.4 billion valuation, quadrupling its valuation in eight months. Founder Alex Mashrabov told TechCrunch he expects "enterprise adoption of video AI to become much more deeply embedded in everyday marketing and creative workflows." The company says it now serves 390 Fortune 500 companies.
That's a different ecosystem than the indie filmmaker scene. Enterprise isn't debating creative voice or the loneliness of one-person production — it's treating AI video as production infrastructure and deploying it at scale. The platform aggregation model Higgsfield is building on solves a real pain point: Kling 3.0 leads on motion realism and value per clip, Runway Gen-4.5 leads on creative control and camera precision, Veo 3.1 leads on cinematic lighting. No single tool wins everything right now, and running multiple subscriptions to cover different use cases is a genuine friction point for teams doing volume work. Higgsfield's bet is that consolidation is worth paying for.
The $400M raise suggests enough buyers already agree.
What this means if you're choosing a tool
The tension across these three sources is real, and it's worth naming before you start evaluating platforms.
If you're a marketer or content team thinking about AI video as production throughput — how many clips can I generate, at what cost per keeper, across which use cases — the Higgsfield/Mashrabov frame is the right lens. Our comparison of Runway vs. Pika vs. Kling walks through the current quality and pricing breakdown. The best AI video generators roundup is current through August and includes Higgsfield, Veo 3.1, and Kling 3.0. For a deeper look at the platform Valenzuela is building, our Runway ML review has the current feature and pricing breakdown.
One practical note on costs: every credit-based plan prices per generation attempt, and video production is made of attempts. The advertised monthly cost and the real monthly cost diverge quickly once you account for the clips you regenerated before landing on a keeper. Factor that in before committing to a tier.
If you're a filmmaker or creative using these tools to make actual work — Tangonan's frame is the more useful one. The tool is inert without a perspective. The question of what you're trading (collaboration, crew, the accidental discoveries of a production with other humans in it) is worth sitting with before the workflow becomes habit.
MacWilliam's line — "I think efficiency in general is not the best friend of creativity" — isn't an argument against AI video tools. It's a reminder that efficiency and creativity aren't the same thing, and conflating them is how you end up with output that's technically competent and creatively thin.
The discourse isn't resolved. The tools are improving faster than the conversation about them. That gap — between capability and clarity about what to do with it — is where most practitioners are still working.
Sources: TechCrunch, "AI's promise to indie filmmakers: Faster, cheaper, lonelier" (February 20, 2026) — Brad Tangonan, Hal Watmough, and Keenan MacWilliam, all directors of AI-assisted short films. TechCrunch, "Runway CEO says AI could help Hollywood make 50 films instead of one $100M blockbuster" (April 16, 2026) — Cristóbal Valenzuela, Runway co-founder and CEO. TechCrunch, "Higgsfield raises $400M Series B, quadrupling its valuation in 8 months to $5.4B" (August 17, 2026) — Alex Mashrabov, Higgsfield founder. TechSifted did not interview any of these individuals.
Priya Sundaram covers AI tool adoption and UX for TechSifted.
Top comments (0)