At SATIS 2026, I joined a panel on the future of the control room. We covered automation, AI, the rundown and IP. One idea kept coming back: the technology is ready. The real work now sits in price, workflows and trust.
Here are the points I think matter most.
The tipping point is price and simplicity
Automation is not new, broadcasters have been using it for years. What changed is that software got good enough to take over work that once needed dedicated hardware.
Modern automation software is:
- Open: It talks to the equipment already in the gallery, in both directions, whatever the brand.
- Light: It runs in a browser with no dedicated servers, no racks.
- Affordable: No hardware bill, no heavy SLA. You buy it as a subscription or as an investment, whichever fits your budget.
The result is that a local channel uses the same product as a national broadcaster. Only the scale changes. Today you can run a country's number 1 news programme on a stack that costs less than 100k, operated by 1 person, without losing quality.
This is not software against hardware. The cameras, switchers, and robotics stay and software becomes the layer that makes them easier to drive.
What still slows adoption is a perception, not a limit. Many people still think software means unstable. That was true 15 years ago, but it is no longer true today.
AI proposes, a human decides
Once automation is affordable, the next question is AI. My answer: it already changes production, mainly in preparation.
Preparation is happening now. AI takes a story into the rundown and gets the item ready for air. From story to live in 60 seconds. Because we're building our platform to be MCP-enabled, it connects to your LLM. Packaged agents will be able to deploy the automation in a standard way, based on best practice, in minutes. You describe what your show should look like and what it should do. The LLM builds an updated version from there.
Live suggestions come next. The rundown is the right place for AI in a live show. It already knows the running order, the durations, the media and the graphics on every item. That context makes AI useful. Some concrete cases:
- The show overruns by 40 seconds. AI proposes which items to shorten or drop.
- A lower third is too long for its template. AI proposes a version at the right character count.
- Scores or results change. The data lands straight in the graphic.
- One element is reformatted for 16:9 and vertical, without anyone rebuilding it.
The principle stays the same every time. AI proposes, a human validates with 1 click. Every change is traceable - the director can take over manually at any moment, so nothing goes to air without a human decision.
Autonomous execution on air is not the goal for news. A structured show already runs fully automated today, without AI, thanks to how the automator works. Where you want flexibility, AI still needs to get faster, close to instantaneous. Until then, human creativity outclasses it. AI speeds up the decision. It does not replace editorial judgement.
One team, five channels
If AI speeds up preparation, the 1-click rundown speeds up everything after it. Driving the whole control room and graphics package from the rundown changes how journalists and technicians work together. For both sides, preparation and last-minute changes get through faster.
For journalists, it means serving the viewer the best content, in the most creative way. They tell the story as well as it can be told. They stop worrying about how to get it on screen, or what is feasible in the time left.
For technical teams, the operation needs less attention. Everything sits at their fingertips in a single pane of glass, with the flexibility they need. They can focus on keeping the environment modern and ready for growing demand, on every platform.
The effect on output is the real story. Instead of one team working on 1 production for 1 channel, the same team gets its content out on 5 channels. Set up the right way, that opens the door to more content and to new revenue streams.
Workflows first, then UI
The panel asked a sharp question. Is tomorrow's challenge orchestrating IP flows, or designing interfaces that don't overload a single operator?
My answer is neither. It is workflows: removing silos by putting the story at the centre.
The IP question is largely answered — the industry knows what it’s building and is paying for it. The question nobody’s answered yet is what happens to the person sitting at the end of all those flows. Orchestration tells the signals where to go. It doesn’t tell the operator what matters.
A UI on its own fixes nothing. It only has impact when it becomes an orchestration layer. Otherwise, you just move the problem to a new screen.
To get there, a few things still need work:
- Interoperable, open tools, not tools glued together.
- Modern, bidirectional protocols.
- Story-centric workflows that run through the production (and even the operations) layer, not only through editorial.
Once that is in place, the UI becomes the final piece of the puzzle. Operators should drive intentions, not flows or addresses.
Where it all points
Each topic on the panel pointed the same way. Software made automation affordable. AI takes the time out of preparation. The rundown puts editorial and technical on one page. Open workflows let the story drive the whole production.
The technology is ready. The question for broadcasters is no longer can we, but how fast do we start?
