Open Textbook

Enterprise Adoption

Why Learn AI in a Course When ChatGPT Knows Everything: A Research-Based Analysis

12 min read

“Why would I need your course when I can just ask ChatGPT?”

This question shows up in the comments under every post about AI education. The logic is bulletproof: the internet is free, ChatGPT will explain anything, YouTube is overflowing with tutorials. Why pay for a course when all the information is already out there?

It’s a great question. The answer is not the one people expect to hear.

Because between “having access to information” and “knowing how to work with it” – there is a chasm. Access to medical textbooks doesn’t make you a doctor. Owning a kitchen knife doesn’t make you a chef. And the ability to ask ChatGPT a question doesn’t make you an AI specialist. As MIT’s research on choice architecture shows, a specialist’s real strength lies not in having the tool, but in the ability to critically evaluate what the tool suggests.

And this isn’t just a neat metaphor – it’s a research-confirmed fact.

Read more
Why Learn AI in a Course When ChatGPT Knows Everything: A Research-Based Analysis
86% of Students Use AI, But Are Getting Worse. One Experiment Changed Everything
16 min

86% of Students Use AI, But Are Getting Worse. One Experiment Changed Everything

Traditional approaches to education are breaking down. AI writes essays and papers in minutes – and that has permanently changed the purpose of creative assignments in schools. Banning neural networks doesn’t work, and isolating students from technology is a dead end. The question is not whether to use AI. The question is how to use it so the technology develops students’ skills rather than replacing their thinking.

82% of Executives Use AI Weekly: How AI Penetrates Industries – Wharton 2025 Report
14 min

82% of Executives Use AI Weekly: How AI Penetrates Industries – Wharton 2025 Report

For the third year running, Wharton School of Business and GBK Collective have been tracking how US companies deploy generative AI. The fresh October 2025 numbers tell a clear story: the technology has moved from experiment to daily practice. In a previous article we looked at the gap between rank-and-file AI use (19% see results) and corporate projects (80% succeed). The new Wharton report shows exactly how companies get to that 80% – and why results differ across industries.