Professor finds students blind to rapid AI progress, see chatbots as homework aids

A public university instructor in global politics has published a revealing synthesis of student attitudes toward AI as of spring/summer 2026. Based on written pre-class submissions, discussions, and a day-long student AI workshop, the report identifies a striking disconnect: students who use AI chatbots daily and have completed hands-on Claude Code projects still do not perceive any rapid acceleration in AI capabilities. They have been using ChatGPT since shortly after its launch, but view it as a routine homework companion rather than evidence of a technological revolution. The professor notes that his own teaching—which frames AI as a geopolitical and national security priority—likely shaped some views, but the core finding is that students lack a mental model for tracking AI progress.

The report details that all participating students had nearly completed a Claude Code project and had extensive AI coursework exposure, including readings on AI geopolitics and risk. Despite that, their default perspective is that AI is a stable, helpful tool—not a fast-moving frontier. The professor attributes this to a missing framework: students have no benchmark for comparing AI today against previous generations of technology. This perception gap has significant implications. If the next generation of workers and citizens sees AI as static, they may under-react to genuine breakthroughs, while also normalizing AI's role in education and work. The professor's account, though anecdotal, offers a counterpoint to the tech industry's narrative of exponential progress, suggesting that everyday users experience AI as a gradual, incremental utility rather than a disruptive force.