In the early 2010s, social media was celebrated as a tool for connection. By the late 2010s, it was being blamed for rising depression, political polarization, and attention disorders. In the mid-2020s, AI is in its celebration phase. If history is any guide, the reckoning is coming.
The adoption pattern is identical
Social media followed a predictable arc: rapid adoption, enthusiastic press coverage, emerging concerns from researchers, pushback from industry, growing evidence of harm, and eventually regulatory attention. AI is tracking the same arc at a compressed timeline. What took social media a decade is happening with AI in years.
The engagement model is the same
Both social media and AI companies optimize for engagement — time spent on platform. Both use personalization to increase that engagement. Both benefit financially from dependency. And both frame their products as tools that empower users while profiting from behaviors that often undermine user wellbeing.
Where AI goes deeper
Social media reshaped how we present ourselves and consume information. AI is reshaping how we think, create, and relate. Social media operates at the surface level of identity — how we look, what we share, who follows us. AI operates at the cognitive level — how we reason, what we create, how we make decisions. The depth of influence is categorically different.
What we can learn
We have something with AI that we didn't have with social media: hindsight. We know the playbook. We know that "connecting people" can mean "isolating people." We know that "tools for productivity" can mean "sources of dependency." We know that industry self-regulation tends to fail. The question is whether we'll use this knowledge or repeat the cycle.
Don't wait for the reckoning. Reflect on your AI patterns now.