AI, automation and the media

The rise of robot journalism

News-writing robots are already making in-roads, but they are set to take on a more significant role in a networked society as they work alongside humans to improve output and create smarter content.

AI journalism and automated journalism are shaking up the industry, and are bringing about changes within the profession – and it is likely that software will play an increasing role in journalism and media. 

The first examples of robot journalism cover stories that can be understood through numbers – and early adoption by the media industry has focused on productivity and efficiency improvements. For example, the Associated Press (AP) news agency already uses Automated Insights software to generate articles about quarterly earnings reports from approximately 3,700 companies – as these are companies they would not have the resources to cover otherwise. 

As we move into a networked society, software will continue to supplement journalists and provide a helping hand for media companies. They will work together to do a better job and maximize limited resources by automating processes, carrying out routine work, providing a presence across multiple locations, and conducting data research – all while cutting costs and increasing profit margin for media companies.

Rise of robot journalism

Blending AI and connectivity

crowd taking pictures

The powerful combination of AI and next-generation networks will create new possibilities for the media industry. Today, AI technology lies behind the media recommendations that are made based on consumption habits – for example, search engines and aggregators already tailor results to individuals, and some web publications also personalize landing pages. This trend is set to progress as we move into a networked society, enabling more personalized content than has ever been possible before.

This is because AI is set to become even smarter, as robust and reliable networks of the future will enable more machine-to-machine communication – supporting massiveconnectivity across diverse devices and connecting cities to cities.

In media and journalism, this will mean entirely customized articles that provide the individual reader with the information they need – for example, those unfamiliar with a topic will need background information in order to understand, while an expert will require the in-depth details only. Smart systems, enabled by future networks, would guess which parts of a story to present to whom through a better understanding of consumers.

Experience the news with VR media

In a networked society the possibilities are virtually endless. Virtual and augmented reality will transform everyday reality in the media and journalism space by bringing the reader into the story.

Want to find out more?

The media landscape is changing. In our report, we explore the future of journalism in a digital world, and make 10 predictions about where the industry is heading.

Read the full report