In 2018, Chinese scientist He Jiankui announced the birth of two girls whose embryos had been genetically modified using CRISPR. The stated objective was to alter a gene associated with the entry of HIV into human cells. The experiment triggered an international outcry; beyond the serious ethical concerns, there were questions regarding the safety of the modifications and the potential consequences for the girls' development.

For the first time, the world was confronted with the birth of human beings whose DNA had been deliberately edited before birth. The case demonstrated that a technology capable of treating diseases could also be used to introduce hereditary alterations—potentially passed on to future generations. Now, with artificial intelligence accelerating the discovery of genetic mechanisms and the development of molecular tools, this discussion has taken on a new dimension: the pace of innovation may begin to outstrip our ability to assess its consequences.

An AI can identify thousands of possibilities for genetic modification, yet determining which of them are safe, necessary, or acceptable remains a human responsibility. There is also the question of access: if technologies capable of altering biological traits become a reality, who will be able to use them? Will these treatments be available to everyone, or will they be resources restricted to a small segment of the population? And how can we prevent interventions intended to combat disease from being used to establish patterns of human traits deemed desirable?

These questions do not yet have definitive answers, but there is a significant difference between the events of 2018 and the scenario now emerging. At that time, the debate focused primarily on the human capacity to modify DNA; today, we must also consider the role of artificial intelligence systems that can help discover, design, and refine these tools. AI is not taking control of human evolution, but it is beginning to expand the possibilities for intervening in the mechanisms of life—and this may well be the most important consequence of the discovery that began our story.

Now, for the first time, we have machines capable of participating in this research on a scale that would be extremely difficult to achieve through human effort alone. As we learn to understand and modify these mechanisms, the most important question may shift from "What will artificial intelligence be able to discover about life?" to "What will we decide to do with those discoveries?"