The hard questions, answered.

With evidence. Studio1 is built to make the making visible, so you can show how a piece of work came to be.

Every image and video carries its provenance: what went into it, the human decisions along the way, and how it developed. That record is designed to export in one step, so an educator, a producer or a lawyer can see the chain of creation and the human contribution.

We do not pretend the question is settled. Two responsibilities need separating, and Studio1 takes the one it can carry.

The companies that build foundation models, with rights holders, institutions and regulators, have to solve licensing, compensation and transparency. It is not fair or realistic to put that whole problem on a student or an independent filmmaker who did not build the models.

Yes. Studio1 is not built around one model or one legal position.

Universities, broadcasters, brands and independent creators draw the line in different places on training data and copyright. Where you or your institution want to work only with models that have clearer licensing terms or stronger copyright safeguards, the platform can support that.

The fear is real and we do not dismiss it. Our principle is that AI should not replace the crew; it should expand what the crew can make.

AI can be used badly, and companies can use it purely to cut costs. That is not how we approach Studio1. In a virtual production workflow, for example, AI can help create media plates and LED wall backdrops. Nobody has left the set. The person who was already making imagery with digital tools is using a newer toolset.

No. We are removing the barriers between the idea and the screen, not the human.

There is a version of AI where the human matters less: type a prompt, accept what comes back, let the machine decide. That is not the filmmaking we are interested in. Studio1 puts more control in the creator’s hands by making the tools joined up, understandable and easy to direct.

We would be careful with that word. The industry is under pressure and filmmaking is evolving; storytelling is not going anywhere.

People still care about stories, characters, images, worlds and emotion. What has changed is that the cinema is no longer the only centre of gravity: young audiences watch on phones, and games, streaming, YouTube, TikTok and short form all compete for attention and budgets.

Yes, and we think that is the true side of the conversation. The goal is not fewer people making films. It is more people making more ambitious work.

AI on its own is not very interesting. The strongest work comes when it meets real filmmaking: actors, directors, cinematography, production design, editing, sound, virtual production and human taste. For us the performer stays at the centre.

Start cheap, learn fast, then spend selectively. Studio1 is designed to make cost visible inside the workflow and to encourage a staged one.

Begin with a genimatic, an updated form of the animatic: still images, which are far cheaper, cut into a sequence with voice, music and sound so you can watch the story take shape. Then, once the project has earned it, turn selected images into video.

It is a serious concern and we will not wave it away. Our job is to make the responsible workflow the easier workflow.

AI uses real compute, electricity, cooling and hardware. The honest answer is not that AI has no impact. It is that if people are going to use these tools, and students and creators will, they should use them intelligently and with as little waste as possible.

The concern is legitimate. Water impact depends on the infrastructure and the workflow, and our part is to reduce wasteful use wherever we can.

Data centres can use significant water for cooling, and more indirectly through the electricity they consume, particularly where they sit in water stressed regions. It also pays to be precise: the impact depends on where a data centre is, how it is cooled, what powers it and how efficient the model and the workflow are.

Because students will use AI tools anyway. Studio1 gives the institution a structured place to teach proper workflows, provenance, authorship, budgeting, ethics and creative judgement.

It runs in the browser, so students do not all need expensive machines or complicated installs. It is collaborative, so tutors and students work in the same creative space. It supports provenance, so the institution can see how work was made and teach rights properly. And it supports staged workflows like the genimatic, so ideas are developed cheaply before anyone spends on video.

As a place to teach these tools openly rather than leave them invisible. Education, not evasion.

Students will meet AI whether a course acknowledges it or not. Because the work, the assets and the record of how they were made sit in one shared space, tutors can supervise, discuss and assess AI enabled production properly, and a department can decide which models its students use.