AI in Media and Communication

AI is reshaping the future of work, and students feel it. As headlines warn of disappearing entry-level jobs, educators must respond. This post argues that success will belong to those who use AI strategically, not fear it, and calls on academia to get out of the classroom, align with industry, and prepare students to thrive alongside AI, not compete against it.

AI is reshaping journalism from production to distribution, raising a critical question: what happens when efficiency becomes the default standard for storytelling? This post explores new research showing gains in speed and accuracy, alongside declines in context and depth, and what that means for audience trust, discovery, and the future role of journalism in an AI-driven information ecosystem.

We spend a great deal of time talking about AI as a content generator. That is just one interesting use case. The more transformative application is infrastructure, and building workflows that help automate content generation. These tools allows us to design systems that continuously collect, structure, and surface information without daily manual intervention. Instead of reacting to information, we build pipelines that monitor it. The idea is simple. Identify something worth