We've been living with GPT-class models long enough that "AI-powered" has become meaningless. It appears on everything from spreadsheet plugins to enterprise CRMs to toothbrushes.
Super AI is different in kind, not just degree. And if you're building products on top of it — or choosing which products to use — understanding that difference is the most important strategic question you'll face this year.
AI — the first era — was fundamentally about pattern recognition. AGI crossed a threshold: models that could reason across domains. Super AI is the next threshold. The difference isn't raw capability — it's understanding. AGI-class systems are extraordinarily capable at tasks you describe to them. Super AI understands the context around the task.
Here is the practical consequence for product builders: AGI-class AI is a tool you point at problems. Super AI is a partner that understands your situation. That distinction changes everything about how software should be designed.