MIS 432  ·  Student Resource

AI News+ Resources

News sources and Substacks worth following to stay current on AI in business.

⭐ WWU Alum Spotlight

An Era of Insight

Focuses on working better with AI and building data literacy. Written by someone who was sitting where you are not long ago — that perspective matters. A great first subscription.
Stay Informed
In-depth AI coverage from one of the most respected names in technology journalism. Check if your library has free student access.
Long-form reporting on AI's cultural, political, and technological impact. Good for the bigger picture.
NPR Technology News + Podcast
Balanced, accessible coverage from a public media perspective. Also available as a podcast — great for commutes.
Accessible tech and AI news without heavy jargon. Good for keeping up with product launches and industry moves.
Technically detailed but digestible. Good if you want to go one level deeper than most news coverage.
Business and industry angle on AI. Useful for understanding how companies are actually adopting and investing in AI.
Reliable reporting on AI policy and industry news. Good source when you need something credible to cite.
Go Deeper
Slow AI Substack
Dr. Sam Illingworth
Critical AI literacy: ethics, empathy, and the human cost of automation. Includes practical exercises every post. Highly recommended for this course.
The Geek Way Substack
Andrew McAfee
How some companies consistently outperform. Big-picture thinking on technology, business, and the science of getting things done. More business-oriented than most AI Substacks.
Import AI Substack
Jack Clark
Weekly deep dives on AI research and policy. One of the most-read newsletters in the field — gives you a sense of what practitioners are paying attention to.
One Useful Thing Substack
Ethan Mollick · Wharton
Practical guidance on using AI in learning and work. Written by a business school professor actively experimenting with AI in the classroom. Very relevant to this course.
Melanie Mitchell · Santa Fe Institute
Accessible, rigorous writing on what AI can and can't actually do. One of the clearest voices on separating real capability from hype. Read this when you want to think, not just catch up.
Penelope Lafeuille
Practical AI frameworks for data careers — how to use AI to learn faster, work smarter, and grow professionally. Weekly posts that bridge technical skill and career strategy.
Where to Start
Most Substacks are free — subscribe with your student email. If you're new to AI news, start with An Era of Insight for a student perspective or The Focused Data Scientist for practical career-focused AI frameworks. For a more critical lens, Slow AI pairs especially well with this course. The Geek Way is the most business-oriented pick if that's your angle.