If we can achieve 100x today, what comes next? The roadmap already points to by the early 2030s, driven by three converging technologies:

While the concept of Classroom 100x is exciting, there are also challenges and limitations to consider. Some of the key hurdles include:

: By late 2026, leading AI models are expected to be trained using roughly 100x more compute

Use bullet points like the ones above. People tend to skim "experience-based" advice.