







Business Insider sees AI as a valuable tool. Newsroom staff may employ approved AI tools to assist with drafting, transcription, research, data analysis, fact-checking, and more. There is always human oversight when our journalists use AI, and they are responsible for the accuracy, fairness, originality, and overall quality of everything we publish. We also use AI for some automated products without human oversight, such as our search tool and audio briefing. We transparently label any products or content fully generated by AI. The technology, industry standards, and the law around AI are all evolving, and our thinking on this may evolve over time.
AI use in American newspapers is widespread, uneven, and rarely disclosed
AI is rapidly transforming journalism, but the extent of its use in published newspaper articles remains unclear. We address this gap by auditing a large-scale dataset of 186K articles from online editions of 1.5K American newspapers published in the summer of 2025. Using Pangram, a state-of-the-art AI detector, we discover that approximately 9% of newly-published articles are either partially or fully AI-generated. This AI use is unevenly distributed, appearing more frequently in smaller, local outlets, in specific topics such as weather and technology, and within certain ownership groups. We also analyze 45K opinion pieces from Washington Post, New York Times, and Wall Street Journal, finding that they are 6.4 times more likely to contain AI-generated content than news articles from the same publications, with many AI-flagged op-eds authored by prominent public figures. Despite this prevalence, we find that AI use is rarely disclosed: a manual audit of 100 AI-flagged articles found only five disclosures of AI use. Overall, our audit highlights the immediate need for greater transparency and updated editorial standards regarding the use of AI in journalism to maintain public trust.

AI use in American newspapers is widespread, uneven, and rarely disclosed
AI is rapidly transforming journalism, but the extent of its use in published newspaper articles remains unclear. We address this gap by auditing a large-scale dataset of 186K articles from online editions of 1.5K American newspapers published in the summer of 2025. Using Pangram, a state-of-the-art AI detector, we discover that approximately 9% of newly-published articles are either partially or fully AI-generated. This AI use is unevenly distributed, appearing more frequently in smaller, local outlets, in specific topics such as weather and technology, and within certain ownership groups. We also analyze 45K opinion pieces from Washington Post, New York Times, and Wall Street Journal, finding that they are 6.4 times more likely to contain AI-generated content than news articles from the same publications, with many AI-flagged op-eds authored by prominent public figures. Despite this prevalence, we find that AI use is rarely disclosed: a manual audit of 100 AI-flagged articles found only five disclosures of AI use. Overall, our audit highlights the immediate need for greater transparency and updated editorial standards regarding the use of AI in journalism to maintain public trust.

AI Policy • States Newsroom
AI Policy States Newsroom is, above all, dedicated to journalism practiced by people. We believe in the power of having on-the-ground reporters covering our communities with the finesse and nuance that only human interaction can produce. We also recognize the power and potential of generative AI. We are open to the responsible and transparent use […]

Report: AI Use in Newspapers Is Widespread, Uneven… | Maryland Today
UMD Computer Scientists, Private Firms Examine News and Opinion Pages in U.S. Media
Artificial Intelligence in the News: How AI Retools, Rationalizes, and Reshapes Journalism and the Public Arena
<p>Download the pdf here. Executive Summary Despite growing interest, the effects of AI on the news industry and our information environment — the public arena — remain poorly understood. Insufficient attention has also been paid to the implications of the news industry’s dependence on technology companies for AI. Drawing on 134 interviews with news workers […]</p>

Meet the Tech Reporters Using AI to Help Write and Edit Their Stories
Independent writers are using AI agents all throughout their reporting process. What’s the value of a human journalist, anyway?

Practical AI tools for your business
These easy-to-use tools can make running your business feel a little lighter. These tips and AI tools are all about helping you to understand your customers better and build real connections with them.
I don't think AI will make your processes go faster
Explore the delirious rantings of Frederick Vanbrabant. A blog focused on the intersection of Enterprise Architecture, product, and business strategy.

AI is Creating Peak Software, Media is the Best Analogy
Let's learn more about the world's most important manufactured product. Meaningful insight, timely analysis, and an occasional investment idea.

Embracing Gen AI at Work
Today artificial intelligence can be harnessed by nearly anyone, using commands in everyday language instead of code. Soon it will transform more than 40% of all work activity, according to the authors’ research. In this new era of collaboration between humans and machines, the ability to leverage AI effectively will be critical to your professional success. This article describes the three kinds of “fusion skills” you need to get the best results from gen AI. Intelligent interrogation involves instructing large language models to perform in ways that generate better outcomes—by, say, breaking processes down into steps or visualizing multiple potential paths to a solution. Judgment integration is about incorporating expert and ethical human discernment to make AI’s output more trustworthy, reliable, and accurate. It entails augmenting a model’s training sources with authoritative knowledge bases when necessary, keeping biases out of prompts, ensuring the privacy of any data used by the models, and scrutinizing suspect output. With reciprocal apprenticing, you tailor gen AI to your company’s specific business context by including rich organizational data and know-how into the commands you give it. As you become better at doing that, you yourself learn how to train the AI to tackle more-sophisticated challenges. The AI revolution is already here. Learning these three skills will prepare you to thrive in it.

The only reason you’ll ever need not to write with AI — The Carlson Lab
Over the last year, our lab has been developing a policy on AI use. To do this, we did three main things: We read a lot of academic publications and tech news. We set up an #ai channel on our lab Slack to share news, experiences, and memes. We had several long and grueling lab meetings talk

The 2025 AI Agent Index Documenting Technical and Safety Features of Deployed Agentic AI Systems
Agentic AI systems are increasingly capable of performing professional and personal tasks with limited human involvement. However, tracking these developments is difficult because the AI agent ecosystem is complex, rapidly evolving, and inconsistently documented, posing obstacles to both researchers and policymakers. To address these challenges, this paper presents the 2025 AI Agent Index. The Index documents information regarding the origins, design, capabilities, ecosystem, and safety features of 30 state-of-the-art AI agents based on publicly available information and email correspondence with developers. In addition to documenting information about individual agents, the Index illuminates broader trends in the development of agents, their capabilities, and the level of transparency of developers. Notably, we find different transparency levels among agent developers and observe that most developers share little information about safety, evaluations, and societal impacts. The 2025 AI Agent Index is available online at https://aiagentindex.mit.edu.
NewsGuild president writes to ProPublica management: Get serious on AI — ProPublica Guild
Artificial intelligence is guaranteed to shake up journalism in varied and unexpected ways. This could be a moment in which experienced journalists leverage a powerful new tool to produce even bigger and better investigations. Or it could be one in which management pivots to yet another new technolo

How Google and AI Nearly Made a Seasoned Reporter Spiral — ProPublica
I thought I had missed something major in my reporting. Turns out I had stumbled into an AI-fueled feedback loop that involved a real LLC’s fictional website and a search engine that’s thrusting unreliable answers on users.

AI News Audit: AI, Canadian Journalism, and Paths for Policy Action — Centre for Media, Technology and Democracy
March 16, 2026 - AI companies built their products using Canadian journalism without permission and without compensation, and are now delivering that journalism to consumers as their own product. Existing copyright and media policy frameworks were not designed to address this. In February and Marc

AI Agents Are Taking Over: And That’s Good For Business
Autonomous AI societies are transforming commerce with self-governing, agent-driven systems, redefining the future of business through collaborative intelligence.
