AI in the News: 3 Ways AI Will Actually Transform Journalism by 2025
The trends and predictions report from the Reuters Institute is out. My takeaways.
How will AI impact journalism in 2025? The trends and predictions report from the Reuters Institute is out and believe it or not, the impact will be fundamental. Here are my 3 takeaways.
TL;DR: Newsrooms are moving beyond AI as just a productivity tool to embrace it for new products. The data shows a major shift from backend automation to audience-facing features.
1. News gets conversational
I'll start with what I think is the most important chapter (the last one 😅): news is becoming conversational. Devices we can talk to (phones, headphones, smart speakers, eyewear) are everywhere, AI voice models are getting really good, and latency is plummeting (especially with on-device models). This is a huge potential shift in how we think about and produce information
2. Productivity < Products
The numbers tell an encouraging story about product development: while 96% of publishers say backend AI efficiency is important, the real transformation is happening in content creation (77%) and newsgathering (73%). We're moving from "AI as assistant" to "AI as product feature."
Breaking it down:
3. It's complicated
Here's why this matters: Facebook referrals have collapsed (67% decline in 2 years), X is down 50%, and Google search - the last reliable traffic source - could be next as AI summaries reduce clicks. OpenAI, Perplexity, Particle, Apple, and Amazon are all pushing their own AI news products.
And publishers are wary of their relationships with tech companies: about equal thirds want to strengthen, maintain, or reduce platform ties.
This is exactly why being AI builders (not just AI customers) is crucial - especially when publishers are split equally between strengthening, maintaining, or reducing tech platform ties.
4. Other striking numbers
Only 41% confident about journalism's future, down from 60% in 2022
87% of newsrooms being transformed by GenAI
Major challenges in attracting/retaining talent, especially tech talent
As always, excellent work by Reuters Institute. What I find fascinating is how clearly it shows both the opportunities and risks. AI is potentially disrupting business models while opening new possibilities - classic (and difficult) innovator's dilemma.
Here’s what else caught my attention today:
Elon Musk says all human data for AI training ‘exhausted’ - The Guardian
For science geeks: A Virtual Cell Is a ‘Holy Grail’ of Science. It’s Getting Closer. - The Atlantic
A New York legislator wants to pick up the pieces of the dead California AI bill - MIT Tech Review
Google can turn your Discover feed into an AI-generated podcast
Microsoft makes powerful Phi-4 model fully open-source on Hugging Face