Artificial Intelligence in Television Journalism: Threat or Opportunity?

Artificial intelligence is arriving in television journalism at a speed that surprises even the most optimistic. From automatic subtitle generation to real-time audience analysis, from fact-checking tools to assisted editing systems , AI is present in virtually every stage of modern journalistic production.

For broadcasters in Portuguese-speaking Africa, the question is not whether they should adopt these technologies, but how to do so strategically and responsibly.

What AI Can Do for Television Journalism

The practical applications of AI in television journalism are numerous and growing. Some of the most relevant for broadcasters in emerging markets include: automatic transcription and subtitling, which significantly reduces production time; audience and digital behavior analysis, which enables more informed editorial decisions; research and information verification tools, which increase the efficiency of reporting teams; and intelligent content distribution systems, which maximize reach across multiple platforms.

The Limits of AI in Journalism

But AI has clear limits in journalism. The ability to build trust relationships with sources, to ask the right questions in a difficult interview, to understand the cultural context of a community, to make complex ethical decisions , all of this is still the exclusive domain of the human journalist.

The real risk is not that AI will replace journalists, but that poorly managed broadcasters will use AI as an excuse to reduce teams without investing in the quality of journalism.

A Strategic Approach

The approach I recommend is to use AI to free journalists from repetitive and low-value tasks, allowing them to focus on what they do best: reporting, investigating, interviewing, and telling stories that matter.