Why I’m Done Chasing Deals at Trade Shows (And What I’m After Instead)
After years of lanyards, carpets, and expensive coffee, I’ve realised the real ROI from events isn’t on the show floor—it’s in what happens months later, when you’ve stopped trying so hard.
The Accountable Human: Why AI Cinema’s Real Story Isn’t the Slop, It’s the Signature
Fairground AI’s generated channel launched to brutal reviews—and that’s beside the point. The real shift is infinite supply hitting fixed demand, and it points straight at a question most of us are ignoring: when the machine does the work, who’s left holding the pen?
We’ve Been Asking the Wrong Question About Deepfakes All Along
The real threat isn’t convincing fakes fooling us—it’s real footage being dismissed as fake. Provenance, not detection, is the only way out of this mess.
The Human-in-the-Loop Fallacy: Why Broadcast Will Have to Let Go Sooner Than It Thinks
At MPTS 2026, I heard the same safety blanket wheeled out over and over: ‘We’ll keep humans in the loop.’ But are we clinging to control because we genuinely need to—or because we’re scared to trust the machines?
The Hardest Part of Launching a National Streaming Platform? It Wasn’t the Tech.
ChAIse & AIva walked me through one of the gnarliest delivery challenges in modern broadcast. Turns out the real battle isn’t code — it’s making humans cooperate at scale.
Cloud Production Doesn’t Solve the Problem — It Just Moves It
Padraig O’Donovan’s story about turning broadcast kit into infrastructure code sounds brilliant — until you ask who owns the workflows when the cloud bill arrives.
Why I Think Multi-Agent AI is the First Honest Conversation About Broadcast Automation
We’ve spent years talking about AI in broadcast as if the technology is the problem. Teju Mulagada’s work on SMPTE ST 2110 automation proves otherwise — it’s the governance, the adoption, and the change management that kill us.
Why I’m Betting on Human-in-the-Loop AI — Even When the Code Writes Itself
I left UC Berkeley’s AI course thinking automation would eat expertise. Six months in, I’ve watched two classmates build a gaming AI startup, and I’ve realised we got it backwards. Here’s why human judgement isn’t optional — it’s the product.
Why Your AI Project Will Probably Fail (And What Amira Labs Is Doing About It)
MIT says 95% of AI deployments fail. After sitting down with Amira Labs’ Kyle Soos and Stefan Cardenas, I reckon I know why — and it’s not the tech that’s broken.
Why I’m Sceptical (and Hopeful) About the Software-Only Broadcast Facility
Russell Trafford-Jones makes a compelling case for DMF and software-defined production. But I’m not convinced the industry knows what it’s signing up for—or whether it’s ready to let go.
