Channel 1 is promising viewers a more "personal" way to watch the news – but is it?

AI generated news anchors will deliver broadcasts in a variety of languages covering real events, augmented with AI-generated images to add more context. AI generated images will be labeled, but what about film clips? In the average story, I'm seeing half a dozen video segments. Are they from the same event and the same time? Or cobbled together from recent events at that location? Or assembled footage of "flaming car in rubble?" Or simply generated from the text prompt: burning building in Middle East.

Despite claims of human editors and producers, there isn't a single human in this news delivery – but me. Alone? Yes. Personal? No so much.

Channel 1's voice quality is pretty good, if flat. News delivery doesn't change – whether they are reporting on a football game or nuclear war breaking out. Real people have emotions, which provide a rich nuanced undercurrent of feeling that AI can't provide – yet.

Give it time.

The goal of AI-anything is to generate a product or service that can replace the hassle and expense of a human workforce with an all AI-workforce – eliminating everything from HR to payroll to parking places. Next, you sell that product or service directly to consumers via a monthly subscription – or to industries to implement at scale. This is where the custody chain gets murky. Those selling AI are very loudy selling it. Those buying AI to implement, are often not telling you unless they are outed.

Trust has always been the core issue with AI, and until it starts delivering on those advertised "massive boons to humanity," it will never get over the trust issue. The other problem with all AI News is scale. It's a nonstop production grind. Picture FOX News with an AI-MAGA channel – or a hundred – in every language. The original implementation of AI was tough, but now? Duplication is a snap!

YouTube has plenty of "How to Build Your Own AI News Channel" videos already – many using the same tools as everyone else. This means a lot of AI news looks a lot like everyone else's AI news at a glance. Just who created it – and for what purpose – may be harder to find out.