CHILD PREDATOR INVESTIGATIONS LAG AS AI EXPLODES

Investigator funding has declined while AI-generated child sexual abuse material (CSAM) proliferates online, overwhelming existing teams. The technology allows bad actors to produce illegal content at scale with minimal barriers to entry. Large social platforms report millions of suspected child exploitation cases annually, yet dedicated law enforcement units operate with flat or reduced budgets. Investigators face backlogs of thousands of cases, with some agencies unable to follow leads promptly. AI-generated imagery complicates prosecutions since no real child victim exists in some cases, creating legal gray areas. Traditional resources focused on identifying victims and perpetrators of direct abuse now must also contend with synthetic content. Experts warn the resource gap threatens both prevention and prosecution. Without increased funding aligned to case volume, investigators cannot effectively combat the explosion in AI-enabled exploitation.