"AI systems crawl, scrape, extract, and reinterpret journalism continuously, and they 'read' differently than humans do. To an AI model, an article is not a story, it is a dataset. It pulls out facts, quotes, implications, and context, removes the newsroom's framing and voice, and recombines the reporting with material from many other outlets into its own narrative structure. In doing so, the AI interface develops an editorial voice of its own, and it's not the newsroom's."
"Together, these signals show that we are undergoing an infrastructure shift in which AI is becoming the system that controls how news flows. And when the infrastructure shifts, so do markets and business models. Industries must return to first principles and re-engineer themselves to meet new realities. For newsrooms, that means questioning assumptions built for an earlier era and asking what purpose their journalism serves in a world"
People increasingly interact with news by talking to AI systems that respond conversationally, shaping information selection, framing, explanation, and context. Traditional content discovery pathways are collapsing as AI moves users from "search, click, read, act" to "ask, answer, act," eliminating clicks and homepages and becoming the new front door to information. AI systems also function as an audience that crawls, scrapes, extracts, and recombines reporting into datasets, removing newsroom framing and creating its own editorial voice. News infrastructure, markets, and business models are shifting, requiring newsrooms to revisit assumptions and re-engineer their purpose and approaches.
Read at Nieman Lab
Unable to calculate read time
Collection
[
|
...
]