A New Future—Or The Oldest Idea In History?

GAN, Vetter insists, is not a test. Not an opinion. Just pure data.

• At birth, every child will be assigned a number between 1 and 10, reflecting their genetic aptitude.

• A 9.2? Fast-tracked for leadership positions.

• A 4.1? “More suited for hands-on labor.”

• A 2.5? “Some people are simply not designed for high-complexity roles,” Vetter explains.

The audience does not laugh.

“For too long, we’ve built our world on false hope,” he continues. “GAN is about realism. Science. Efficiency.”

Behind him, a slick infographic appears:

✅ Governments can use GAN to allocate education funding.

✅ Employers can make better hiring decisions.

✅ Banks can adjust interest rates based on verified potential.

✅ Universities can finally remove “subjectivity” from admissions.

And then, the killer line:

“GAN eliminates bias. No more race, gender, or privilege. Just data.”

Standing ovation.

By the time Vetter leaves the stage, the TED Talk is already viral.

🔴 “If your GAN is too low, are you just useless?”

🟢 “This is the fairest way to structure society.”

🔴 “This is just rebranded eugenics.”

🟢 “Finally, a system that rewards real ability.”

🔴 “They’re literally ranking people like livestock.”

The Swiss government assures the public that GAN is purely optional.

But within 48 hours, several major banks announce that they are exploring GAN-based lending models.

One elite private school in Geneva quietly updates its admissions page:

“Applicants with a GAN of 8.0 or higher will be given priority consideration.”

Vetter Responds: “It’s Voluntary—For Now”

At a press conference, a journalist asks the question on everyone’s mind.

“If this number determines someone’s worth, what happens to the people on the lower end?”

Vetter smiles, adjusting his cufflinks.

“Society has always sorted people,” he says. “We’re just making it more efficient.”

The first GAN pilot program launches next year.

For now, participation is voluntary.

For now.