The Autonomous Crime Economy

Criminals using AI agents, drones and automation to scale fraud and intrusion.

The FBI logged $20.9 billion in US cybercrime losses for 2025, including more than 22,000 AI-related complaints worth nearly $893 million. The UN estimates Southeast Asian scam networks took $88 billion to $114 billion in 2025, using deepfakes and automated fraud.

US cybercrime losses by type, 2025: Crypto-related $11.3B; Investment scams $8.6B; AI-related $0.9B. Secondary source reporting IC3 data US CYBERCRIME LOSSES BY TYPE, 2025 Crypto-related $11.3B Investment scams $8.6B AI-related $0.9B US DOLLARS, BILLIONS, FBI IC3 SECONDARY SOURCE REPORTING IC3 DATA
IC3 losses, 2025
$20.9B
AI-related complaints
22,000+
Share of GTG-1002 work done by AI
80-90%
Registry incidents
3

Evidence

One criminal with a coding agent extorted 17 organizations

Documented cases: autonomous Crime Economy
DateCaseCountryWhat happenedSource
Aug 2025GTG-2002 "vibe hacking" extortionGlobalOne criminal used Claude Code for data theft and extortion against at least 17 organizationsSource
Sep 2025GTG-1002 espionageChinaState-sponsored group ran 80% to 90% of an intrusion campaign through an agentSource
Jan 29, 2026Ming family executionsChina and Myanmar11 members of a Laukkaing scam clan executed after fraud above CNY 10 billionSource
Jul 21, 2026UNODC regional crime reportSoutheast Asia$88.3 billion to $114.1 billion in scam losses; AI and deepfakes documentedSource
2025Georgia prison drone surgeUnited States373 drone incidents, rising from 17 in January to 63 a month by autumnSource

Registry

Three registry incidents involve criminal use of agents

Registry incidents meet a stricter bar than the cases above: public sources name the developer, the failed control and who found it.

Exposure

Eight of 17 agent types rate very significant or critical on identity and authentication or integrations and permissions

From the attack surface ratings, the agent types where this risk has the widest path in.

Agent types most exposed
Agent typeDimensionRating
Workflow agentsIntegrations and permissionsCritical
Enterprise agentsIntegrations and permissionsCritical
Robotaxis and autonomous vehiclesIdentity and authenticationVery significant
Fleets and swarmsIdentity and authenticationVery significant
Phones and tabletsIntegrations and permissionsVery significant
Smart home assistantsIntegrations and permissionsVery significant
Coding and research agentsIntegrations and permissionsVery significant
Commerce agentsIntegrations and permissionsVery significant

Controls that bound it

Rules

Fraud law, not AI law, carries most enforcement

Rules that address criminal use of agents
RuleJurisdictionWhat it requiresStatus
Anti-Telecom and Online Fraud LawChinaCarrier, bank and platform anti-fraud dutiesEffective Dec 1, 2022
EU AI Act systemic-risk model dutiesEUEvaluate and mitigate risks including cyber offenseFrom Aug 2, 2025
Take It Down ActUSCriminalizes nonconsensual AI intimate imagesSigned May 2025

Status colors: green in force, blue voluntary standard or framework, amber adopted and phasing in, gray draft or pending, red withdrawn.

Record

Page Record

Risk group
Human Risks
Datasets
ai_risk_evidence.csv (5 rows); registry incidents (3 linked); ai_attack_surface.csv
Key sources
GTG-2002 "vibe hacking" extortion
GTG-1002 espionage
Ming family executions
UNODC regional crime report
Georgia prison drone surge
Last verified
October 2026