Exploring how artificial intelligence is reshaping newsrooms, storytelling, and the fundamental practices of modern journalism.
Newsrooms are testing AI tools for fact-checking, transcription, and content analysis. Some of these experiments succeed. Others raise difficult questions about accuracy, bias, and editorial control.
This isn't about replacing journalists. It's about understanding where algorithmic assistance helps and where human oversight remains essential. The boundary keeps shifting as technology advances.
Commentary and analysis on specific cases, tools, and outcomes
Using Economic Indicators to Time Your Spending and Protect Your Money
A practical guide showing how basic macroeconomic principles can help you predict price changes, time major purchases, and protect your savings from inflation.
The reality of how one major newsroom uses algorithms to expand coverage reach without reducing reporting staff
How The Washington Post deployed its AI system during the 2016 Olympics and elections, demonstrating the division between automated updates and analytical journalism.
What actually happens when AI flags potential news stories in the BBC verification workflow
The BBC's verification system monitors social media at impossible human scale, showing how AI assists rather than replaces the editorial verification process.
How recommendation algorithms actually function inside a major publication's content management system
Forbes uses AI to recommend topics and headlines to freelance contributors, revealing how algorithmic suggestions influence editorial decisions in practice.
The actual workflow when AI systems detect financial anomalies for investigative reporters at Reuters
Reuters built an AI system that analyzes financial documents at impossible scale to alert reporters about anomalies worth investigating deeper.
What automated transcription actually changed in how reporters at The New York Times handle interview material
The New York Times uses AI transcription to convert audio interviews into searchable text, changing how reporters work with source material in daily workflow.
New developers frequently misunderstand how AI-driven non-player characters function, leading to predictable behaviors and immersion-breaking experiences.
Studios attempting procedural content generation through AI make predictable mistakes that result in repetitive, unsatisfying player experiences.
Competitive games using AI matchmaking frequently create frustrating player experiences through fundamental implementation errors.
Motion capture and procedural animation enhanced by AI frequently looks unnatural due to specific technical oversights during implementation.
Studios implementing AI dialogue generation for narrative experiences consistently make mistakes that break character voice and story coherence.
One-on-one coaching sessions help you evaluate tools, identify risks, and build workflows that preserve editorial standards while benefiting from automation.
Learn About Coaching