The history of addictive products follows a consistent pattern: widespread adoption, growing evidence of harm, industry denial, and eventual regulation — usually years after significant damage has occurred. AI addiction appears to be following this pattern, and the case for proactive regulation grows stronger as evidence of harm accumulates.
Learning from history
Tobacco took decades of scientific evidence before meaningful regulation occurred. Social media is currently going through its regulatory reckoning. AI has the opportunity to avoid repeating this pattern by implementing protective regulation earlier in its adoption cycle.
The speed argument
AI adoption is faster than any previous technology. While social media took a decade to reach billions of users, AI tools have reached hundreds of millions within years. The speed of adoption compresses the timeline for dependency development, making proactive regulation more urgent.
What regulation could include
Evidence-based AI addiction regulation might include: mandatory usage management features, prohibition of specific manipulative design patterns, required impact assessments for AI products marketed to vulnerable populations, transparency requirements, and funding for AI addiction research.
International coordination
AI services are global, making national regulation alone insufficient. International coordination — potentially building on frameworks like the EU AI Act — would be more effective than fragmented national approaches.
The democratic imperative
Decisions about how AI affects society should not be made solely by AI companies. Democratic governance of technology that affects billions of people is not anti-innovation — it is responsible governance.
Stay informed and aware of AI's role in your life. Our assessment is a good starting place.