LIBRARY
Resources for journalists who want to understand how AI is changing journalism and information flows — training programs, tools, guides, funding, and the people and institutions doing interesting work at the intersection of AI and journalism. Check back for updates.
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Training & courses
Self-paced courses you can start any time, cohorts, workshops, and conferences.
Tools for journalists
AI tools built specifically for journalism work.
Grants & fellowships
Funding for AI projects and fellowships at the intersection of AI and journalism.
Guides, reports & toolkits
Newsroom AI policy and practice, plus reports tracking how AI is changing news consumption.
What we're reading
Newsletters, articles, and ongoing work we keep coming back to.
WHERE WE’D START
If you're a journalist who is just beginning to engage with how AI will change the future of our work, here's what we'd point you to first.
Claude Code for Everyone
Chatbots give you answers. Desktop AI lets you see and direct what it's doing — reading files, running tools, building workflows on your own machine. The best on-ramp we've found is Claude Code, and this free course teaches you how to use it from inside Claude Code itself — including key concepts like agents and skills.
Begin the course →Prefer a chatbot-style interface? The Cowork version covers the same ground.
News Digest Designer
We built a chatbot that walks you through creating your own AI-powered news monitoring workflow — designed around your beat, topics, and sources. You'll learn how automation and AI processing actually work by building one yourself, and you'll leave with a customized Make.com automation you can keep tweaking and reuse as a template for future digests.
Start building your digest →NotebookLM
NotebookLM is Google's AI tool for working with documents you upload — research, transcripts, FOIA records, long PDFs, even data. NotebookLM grounds its answers in your files, which makes it useful for the synthesis work journalists often do: pulling traceable findings from a stack of reports or getting oriented in a document dump.
Try NotebookLM →Or start with a tutorial for journalists from Journalist's Toolbox or WonderTools.
TRAININGS & COURSES
Self-Paced Courses
Start any time. Ordered from shortest on-ramp to deepest dive.
Introduction to AI for Journalists
Quick orientation to AI fundamentals and newsroom use cases.
AI for Journalists video series
Numbered modules covering prompt anatomy, context, structured templates, automations, and ethics. Watch one module at a time.
OpenAI Academy for News Organizations
Modular hub covering essentials, advanced tools, and responsible use — with newsroom-specific use cases. Pick modules as you need them.
Prompt Engineering 101 for Journalists
Prompt craft alongside ethical AI use. Originally a 2025 cohort, now open asynchronously.
Google AI Tools for Journalists
Hands-on training with NotebookLM, Pinpoint, Gemini, and Analytics for editorial workflows. Bilingual (English/Spanish).
Code Patterns: Advanced Claude Code for Journalists
Deeper dive for journalists already using AI to build tools.
AI Without the Guesswork paid
Masterclass on AI use for investigative reporting: source discovery, sensitive-material handling, stopping hallucinations, and building your own reporting tools.
Cohort Programs
More intensive, structured experiences. Application-based with a set schedule.
AI Journalism Lab: Builders
Hybrid cohort for building news products with AI, in partnership with the Nordic AI Journalism network.
AI Journalism Lab: Leaders
Hybrid cohort for AI strategy and leadership in newsrooms.
JournalismAI Academy
Virtual cohorts; more than 3,000+ journalists trained.
The Automated Newsroom: Build AI Workflows That Work paid
Hands-on training with visual workflow builders (Make.com, n8n, ActivePieces) applied to real newsroom tasks.
Newsroom AI Catalyst
Accelerator serving 152 newsrooms globally with $1.5M in OpenAI API credits.
Workshops & Conferences
NICAR Conference
Data journalism conference with AI sessions alongside Python, R, and beginner tracks.
Nordic AI in Media Summit (NAMS)
Summit for practitioners building AI in newsrooms, focused on reimagining news products, reshaping news organizations, and reshuffling news value chains.
Hacks/Hackers AI Summit
A two-day summit of journalists, technologists and innovators to explore how AI can enhance journalism and information through hands-on workshops, real-world case studies and collaborative sessions.
Media Tech & AI Week
Conference for news executives and AI/tech/product leaders.
TOOLS FOR JOURNALISTS
DataTalk
AI chatbot that lets investigative journalists query datasets without writing code.
coJournalist
AI scouts that monitor pages, social profiles, government data, and your beat in the background. Connects to Claude, ChatGPT, or Gemini so you can run it from inside the chatbot you already use.
Journalists on Hugging Face AI Toolkit
Curated, searchabe list of free and open source AI tools for journalists, gathered by the journalism community on the AI building platform Hugging Face.
Journalist's Toolbox AI
Curated database of AI tools for journalists, plus a twice-monthly newsletter and YouTube training channel.
GRANTS & FELLOWSHIPS FOR AI NEWS INNOVATION
JournalismAI Global Fund
Grants for projects from news organizations to foster AI literacy and implementation through targeted innovation and experimentation.
AI Collaborative and Fellowship Program
Funded 11 news organizations to hire a two-year AI fellow to pursue projects that focus largely on improving business sustainability and implementing AI technologies within their organizations (began Fall 2024).
Magic Grants
Grants for news innovation projects; with a focus on AI.
JSK Journalism Fellowship
Fully funded fellowship for mid-career journalism leaders, with Stanford HAI partnership for AI focus.
GUIDES, REPORTS & TOOLKITS FOR AI IN THE NEWSROOM
Using AI in the newsroom
Policy, ethics, and practical guides for journalists building with AI.
Newsroom Policies for AI in Journalism
An analysis of 188 newsroom policy documents — providing a window into how the industry is drawing lines around AI.
AI Vendor Field Guide
A deeply researched evaluation of AI tools, scoped to local newsrooms weighing what to buy.
Set Your Standards Before You Start: A Journalist's Journey Using Claude.md
A practical, first-person account from a data journalist on how to give an AI assistant a briefing on editorial standards before any conversation starts.
Vibe Coding for Newsrooms
A grounded take on AI-assisted coding for journalists, focused on project management over technical skill: knowing what you're building, keeping the AI on task, and shipping things that work.
How AI is changing news consumption
Reports tracking what AI is doing to audiences, traffic, and the reader's relationship with news.
Journalism, Media, and Technology Trends and Predictions 2026
The annual survey of senior news executives on what's coming next. The 2026 edition puts AI's impact on search referral traffic at the center: as AI-powered answers displace search results, publishers are watching a key traffic channel erode — and rethinking what discovery means in an AI-mediated world.
Generative AI and News Report 2025
A six-country survey on how the public actually thinks about AI in journalism — not how journalists assume they think. Documents the trust gap between human- and AI-produced news, and tracks where AI chatbots are starting to substitute for traditional news sources.
Action, Ease & Personalization: AI Chatbot News Experiences
Interviews with 53 habitual AI chatbot users in the US and India on how they actually use these tools to stay informed. CNTI found users trust AI chatbots more than they trust news media — and when they verify information, they compare chatbot responses against other chatbots, not original sources.
Exploring the Futures of Technology 2.0: Understanding the Shifts in an AI-Mediated World
A futures-thinking lens on where AI mediation is heading — not just at the task level, but across organizational systems and competitive ecosystems. The structural-shift frame applies to all information businesses, including journalism.
The Future of Discovery: Strategic Business Model Choices in the Age of AI Search
A map of four strategic archetypes publishers can position themselves across as AI-generated answers displace traffic from publisher sites. The report argues sustainable growth requires building independent discovery capabilities for an AI-first media landscape.
AI News: Build or Buy? Lessons from the AI Launchpad
What publishers across Europe, the Middle East and Africa learned from building AI products for their audiences — the business model questions, the vendor decisions, and what moved reader engagement.
WHAT WE’RE READING
An AI Enlightenment? The consumer experience of AI-mediated news
A vision of what AI-mediated news could feel like for readers — radically more informed, less overwhelmed. The opening of Caswell's "abundance agenda" series.
The information ecosystem is being redrawn by AI. That might be good news
Four shifts dismantling traditional journalism — scarcity to abundance, human to machine audiences, packaged content to liquid information, attention to intention — and why they're an opportunity, not extinction.
How Math Broke Media: The Underlying Logic of Media Will Change in Every Conceivable Way
Generative AI as the culmination of a forty-year mathematization of media — from a continuous substrate with discrete businesses to a discrete substrate with continuous business.
What AI means for the business of: journalism
AI will do to the web what the web did to print. Haile's stance: journalism's best chance is building "archipelagos of trust" — high-trust private communities no intermediary can replicate.
Who Will Monetize Truth? A Thesis for the Future of the Information Business
The question is no longer who will produce truth — AI can generate it — but who will monetize it. A much smaller group, and the window is closing.
Introducing the News Atom: a metadata blueprint for journalism in the age of AI
A structured metadata framework that preserves journalism's epistemic value when AI scrapes content — so attribution, evidence, and provenance survive instead of being reduced to "word soup."
Sell to the Agent — A monetization playbook for the post-browser era
As clicks die and AI agents become the primary consumers of information, publishers need machine-readable rights, programmable access, and automated micropayments — not better SEO.
Signals at Scale: A Look Into the Agentic Future of News
A synthesis of ideas from the March 2026 Signals at Scale Summit (which the Tow-Knight Center participated in): How AI agents may become the primary intermediaries between people and information — and the questions that raises for jouralism about how to protect intention from manipulation.
The 'data moats' fallacy
The argument that simply accumulating proprietary data doesn't create durable competitive advantage against AI. Not specifically about journalism, but applicable to the data moat questions that newsroom leaders are grappling with.