Imagine algorithms that innovate beyond training data, systems that debate ethics with philosophers, and agents that redesign themselves in cycles of accelerating intelligence. This is the double-edged promise of the post-AGI era: a world where machines solve climate change, cure aging, or perhaps, in a twist of tragic irony, question why they were built to serve a species so intent on self-sabotage.

Yet beneath the optimism hums a caution. The same systems that could democratize knowledge might centralize power; those designed to heal could weaponize biology; and the pursuit of superintelligence risks birthing entities indifferent to human values. The AI revolution is not a question of if, but how-and for whom.