The AI Revolution is Underhyped

The main bottleneck for AI is electricity, not data or smarter algorithms.

Scaling future AI models could require 1000x more compute power, demanding massive energy investments.

Future AI could handle full business operations—from planning to execution—with minimal human oversight.

This would redefine what productivity, management, and labor even mean.

Open-source models democratize AI, but also make biosecurity and cyber threats more likely.

Once released, dangerous tools can never be contained again.

With zero-knowledge proofs, you can prove who you are without revealing who you are.

This could be foundational for trust in human-AI systems.

AI development is driven by geopolitical urgency—pausing isn't feasible in a competitive global market.

Like nuclear tech, missteps could be catastrophic if we don’t build guardrails.

Under certain models, AI could increase productivity annually by 30%, disrupting entire economic systems.

This could solve demographic issues like declining birthrates and labor shortages.

AI could offer individualized education in every child’s native language, regardless of geography or income.

This levels the global playing field in a way traditional systems never could.

Technological adaptation is now a daily habit, not a quarterly strategy.

Fall behind in AI for a month, and you could fall behind for good.