AI will crush the poorest in society

Our Take

The channel Digital ID, Mass Surveillance and Digital Currency argues that AI systems don't fall evenly on society — they tend to land hardest on people who already have the least power to push back. We don't know every data point behind that claim, but the underlying pattern is one we see constantly in our own reporting on automated license plate readers. Flock Safety cameras aren't distributed randomly across America; they cluster in and around neighborhoods that already face the most policing, turning routine driving into a data trail that can be mined, shared, and used against residents who have the fewest resources to contest a mistaken flag or an opaque algorithm.

That's the real danger of pairing AI with mass surveillance infrastructure: it doesn't just watch everyone equally, it amplifies existing inequities at scale and speed humans can't audit in real time. A missed car payment, a warrant for an unpaid fine, a case of mistaken identity — these become inputs an automated system can act on instantly, with no due process check in the moment it matters. The video's broader warning about AI 'crushing the poorest' lines up with what happens when license plate data gets fused with predictive policing tools, debt collection, or immigration enforcement pipelines.

Credit to the creator for keeping this conversation visible outside mainstream coverage. If you want to see how dense this camera network already is where you live, check our camera map, and if you're ready to push back locally, our take-action page has concrete steps for getting these systems in front of your city council.