Financial Flows

Introduction

Human trafficking is, at its core, an economic crime. It exists because exploitation is profitable. The International Labour Organization estimates that forced labor generates $150 billion in illegal profits annually, making it one of the most lucrative criminal enterprises in the world; comparable to the global drug trade. Understanding how trafficking money moves, is laundered, and is reinvested is essential to disrupting trafficking networks. As the anti-trafficking maxim holds: follow the money.

Yet the financial dimension of trafficking has historically received less attention than the criminal justice and victim services dimensions. Law enforcement agencies have been slow to develop the financial investigation capabilities necessary to trace trafficking proceeds, and financial institutions have only recently begun implementing anti-trafficking compliance measures.

This chapter examines the financial architecture of human trafficking and the emerging tools for disrupting it; from money laundering through cash-intensive front businesses to cryptocurrency, from illicit massage business networks to the shell company structures that obscure trafficking profits, and from the Bank Secrecy Act framework to the AI-powered detection systems now being deployed by major financial institutions.

The $150 Billion Trafficking Economy

The ILO’s 2014 landmark study, updated with additional data through 2022, estimated that forced labor generates $150 billion per year in illegal profits worldwide. This figure includes all forms of forced labor, not just those involving cross-border trafficking, but it represents the most widely cited estimate of trafficking’s economic scale.

Per-Victim Profitability

The ILO’s data reveals stark differences in per-victim profitability across trafficking types. Forced sexual exploitation generates an estimated $21,800 per victim per year in developed economies, compared to approximately $2,500 per victim per year for forced labor in agriculture. These averages obscure enormous variation; a sex trafficking operation in a major US city may generate $250,000 or more per victim annually, while a farm labor trafficking operation may generate only a few thousand dollars per worker. These economic realities shape the decisions of trafficking organizations about what types of exploitation to pursue and where.

The disproportionate profitability of sexual exploitation relative to labor trafficking reflects the difference between service-based and goods-based exploitation. A trafficked person forced into commercial sex can be “sold” repeatedly without any material input costs, generating revenue hundreds of times per year. By contrast, forced labor generates profit through cost suppression; paying workers nothing or near-nothing for goods or services that are then sold at market rates. Both models are enormously profitable, but the per-victim revenue in sexual exploitation is significantly higher.

Money Laundering Methods

Trafficking proceeds must be laundered to enter the legitimate financial system. Traffickers employ a range of methods, from simple cash-intensive businesses to sophisticated international financial structures.

Cash-Intensive Businesses

The most common laundering method in domestic trafficking is the use of cash-intensive front businesses. Restaurants, nail salons, car washes, laundromats, massage parlors, and convenience stores generate large amounts of cash in the normal course of business, making it difficult to distinguish trafficking proceeds from legitimate revenue. Traffickers commingle exploitation proceeds with business income, then report the combined total as legitimate earnings.

A 2020 FinCEN analysis of Suspicious Activity Reports (SARs) related to human trafficking found that cash deposits and structuring (breaking large deposits into amounts below the $10,000 reporting threshold) were the most commonly reported indicators of trafficking-related financial activity. Structured deposits were flagged in over 60% of trafficking-related SARs filed between 2014 and 2019.

The laundering challenge is compounded by the sheer volume of cash in the US economy. There is approximately $2.3 trillion in US currency in circulation, and cash-intensive businesses process hundreds of billions in transactions annually. Distinguishing trafficking cash from legitimate cash in a car wash or restaurant requires transaction-level analysis that most financial institutions and regulators cannot perform at scale. This is why cash remains the preferred medium for trafficking proceeds at the initial collection stage.

Funnel Accounts & Money Service Businesses

Funnel accounts are bank accounts used to collect deposits in one geographic area and withdraw funds in another; a common pattern in operations where victims are exploited in multiple cities while proceeds flow to a central organizer. Western Union, MoneyGram, and other money service businesses (MSBs) have been identified as conduits for trafficking proceeds, particularly in cases involving international networks.

In 2017, Western Union agreed to pay $586 million to settle federal charges that it had failed to prevent fraud and money laundering through its network, including proceeds from human trafficking. The settlement included an admission that Western Union agents had processed transactions they knew or should have known were part of trafficking operations.

Prepaid Cards & Digital Wallets

Prepaid debit cards and digital payment platforms have become increasingly important tools for trafficking finance. Prepaid cards can be purchased with cash at retail locations without identity verification (for cards below certain thresholds), loaded with trafficking proceeds, and used for purchases or ATM withdrawals. Digital wallets such as Venmo, Cash App, and Zelle allow person-to-person transfers with minimal oversight compared to traditional banking.

A 2021 FinCEN analysis found that prepaid card usage was flagged in approximately 25% of trafficking-related SARs, often in patterns involving bulk purchases at multiple retail locations. Law enforcement has documented traffickers providing victims with prepaid cards to purchase food and supplies while retaining control of the primary funds; a method that creates the appearance of victim autonomy while maintaining financial control.

Trade-Based Money Laundering

Trade-based money laundering (TBML) uses international trade transactions to disguise the movement of value. Over-invoicing imports, under-invoicing exports, or shipping goods that differ from their invoiced description all allow traffickers to move money across borders under the guise of legitimate commerce. The Financial Action Task Force (FATF) has identified TBML as one of the primary methods used by transnational trafficking networks, particularly those involved in both labor trafficking and drug smuggling. (See also Corruption & Trafficking.)

TBML is particularly challenging to detect because it exploits the enormous volume of legitimate international trade. The United States alone processes over $5 trillion in annual trade, making it virtually impossible to inspect more than a fraction of transactions for potential laundering. Trafficking organizations that also engage in drug smuggling frequently use the same TBML infrastructure for both revenue streams, further complicating enforcement.

Cryptocurrency & Trafficking

Cryptocurrency has introduced new dimensions to trafficking finance. While the blockchain is technically transparent, the pseudonymous nature of cryptocurrency transactions and the availability of privacy-enhancing tools present challenges for investigators.

How Traffickers Use Cryptocurrency

Online commercial sex platforms have been among the earliest and most significant adopters of cryptocurrency in the trafficking economy. After the seizure and shutdown of Backpage.com in 2018, many successor platforms adopted cryptocurrency as a primary or exclusive payment method. Bitcoin, Monero, and other cryptocurrencies are used to pay for advertisements for commercial sex, to process payments from buyers, and to move proceeds between traffickers.

A 2022 Chainalysis report on illicit cryptocurrency flows identified trafficking-linked transactions totaling hundreds of millions of dollars annually, though the firm acknowledged that this likely represents only a fraction of total cryptocurrency-facilitated trafficking. The pseudonymous nature of blockchain transactions makes comprehensive accounting impossible without targeted investigation.

Privacy Coins & Mixing Services

Privacy-enhancing cryptocurrency technologies present particular challenges for trafficking investigators. Mixing services (also called tumblers) combine multiple users’ transactions to obscure the origin and destination of funds. Decentralized exchanges allow cryptocurrency trading without identity verification. And privacy coins such as Monero, Zcash, and Dash employ cryptographic techniques that make transaction tracing difficult or impossible with current tools.

In 2020, the US Department of Justice announced that it was seeking to develop tools to trace Monero transactions, and the IRS offered a $625,000 bounty for contractors who could break Monero’s privacy features. As of 2024, Monero remains largely resistant to retrospective analysis, though law enforcement has had some success in cases where users made operational security errors that linked their Monero transactions to identifiable information.

Blockchain Forensics

Despite the challenges, cryptocurrency also presents investigative opportunities not available with cash transactions. Every Bitcoin transaction is permanently recorded on a public blockchain, creating an immutable trail that can be analyzed retrospectively. Federal investigators have increasingly used blockchain analytics tools from companies like Chainalysis, Elliptic, and CipherTrace to trace trafficking proceeds.

In 2020, the Department of Justice announced the seizure of over $2 million in cryptocurrency associated with terrorist financing and cyber-enabled trafficking operations. The IRS Criminal Investigation division has developed specialized cryptocurrency tracing capabilities that have been deployed in trafficking cases. However, privacy coins such as Monero, which obscure transaction details by design, and cryptocurrency mixing services present ongoing challenges.

Illicit Massage Businesses

Illicit massage businesses (IMBs) represent one of the largest and most visible intersections of trafficking and financial crime in the United States. The Polaris Project has identified more than 9,000 IMBs operating across all 50 states, generating an estimated $2.5 billion or more in annual revenue.

The IMB Financial Model

IMBs operate through a remarkably standardized financial model. Workers, predominantly women from China and, to a lesser extent, South Korea, are recruited with promises of legitimate massage employment. Upon arrival, they discover they are expected to perform sexual services. They are charged for housing (often a room in the business itself), food, supplies, and other necessities, and they receive only a fraction of the fees charged to customers. The business operator takes the majority of revenue.

Financially, IMBs present as cash-heavy small businesses. They typically accept cash and credit cards for the “massage” fee (usually $40–$80), while tips for sexual services are paid in cash directly to the worker, from which the operator takes a cut. Credit card payments are processed through merchant accounts that list the business under innocuous industry codes. Revenue is laundered through the business’s regular banking relationships.

Advertising & Online Presence

IMBs rely heavily on online review platforms and advertising to attract customers. Websites such as RubMaps (described as “Yelp for massage parlors”) have operated openly, providing reviews, ratings, and explicit descriptions of sexual services available at specific massage businesses. While such platforms claim to be user-generated review sites, anti-trafficking organizations have argued they function as advertising platforms for trafficking operations. Polaris has identified the online advertising ecosystem as a critical infrastructure element that sustains IMB networks.

Network Structure

Polaris’s research has revealed that IMBs do not operate as isolated businesses but as interconnected networks. Women are rotated between locations every few weeks to prevent them from forming local connections or being recognized by law enforcement. Multiple businesses may share a common owner or operator operating through separate LLCs. Review websites and online advertising platforms serve as coordinating mechanisms for the network.

The Orchids of Asia Day Spa case in Jupiter, Florida (2019), which gained national attention because one client was New England Patriots owner Robert Kraft, illustrated the typical IMB structure: workers living in the spa, performing sexual services for a stream of male clients, with proceeds flowing to the business owner. Kraft was charged with solicitation (charges later dropped on procedural grounds); two spa operators were charged with racketeering and trafficking-related offenses.

Shell Companies & Beneficial Ownership

Shell companies, legal entities with no substantial operations or assets, are essential tools for trafficking financial infrastructure. Traffickers use shell companies to obscure ownership of businesses, real estate, bank accounts, and vehicles used in trafficking operations.

The Opacity Problem

Until the passage of the Corporate Transparency Act (CTA) in 2021, the United States was one of the easiest countries in the world in which to form anonymous shell companies. In most states, a company could be formed without disclosing the identity of its actual (beneficial) owner. Delaware, Nevada, and Wyoming were particularly popular jurisdictions for anonymous company formation. Anti-corruption and anti-trafficking organizations identified this opacity as a critical enabler of trafficking finance.

The CTA requires most US companies to report their beneficial owners to FinCEN, creating a national beneficial ownership registry. However, implementation has been delayed, and the registry is not publicly accessible; only law enforcement, financial institutions, and certain other authorized users may query it. Anti-trafficking advocates have argued that public access to beneficial ownership information is necessary for effective investigation and prevention.

Formation Agents & Professional Enablers

The creation and maintenance of shell companies used in trafficking operations relies on professional enablers; attorneys, accountants, formation agents, and registered agents who create corporate structures, file paperwork, and maintain the legal facade. While most of these professionals are unaware of how their services are used, the FATF has identified “professional money laundering” networks in which attorneys and financial professionals knowingly facilitate trafficking-related financial structures. A 2019 Global Financial Integrity report estimated that professional enablers are involved in approximately 86% of the largest money laundering cases globally.

Real Estate as Laundering Vehicle

Real estate purchases, particularly all-cash transactions, have been identified as a significant laundering method for trafficking proceeds. FinCEN’s Geographic Targeting Orders (GTOs), which require title insurance companies to identify the beneficial owners of shell companies making all-cash residential real estate purchases above certain thresholds, have revealed extensive use of shell companies to purchase properties used in trafficking operations or to launder trafficking proceeds into appreciating assets.

In multiple prosecuted cases, trafficking operators have used proceeds to purchase residential and commercial real estate through LLCs, then rented the properties back to themselves for use as brothels, stash houses, or legitimate businesses that served as laundering fronts.

Financial Institution Red Flags

Financial institutions are increasingly being trained to recognize indicators of trafficking in customer transaction patterns. FinCEN issued its first advisory on human trafficking in 2014 (updated in 2020), identifying specific red flags that may indicate trafficking-related financial activity.

AI & Machine Learning in Detection

Financial institutions and technology companies have begun deploying artificial intelligence and machine learning systems specifically designed to detect trafficking-related financial patterns. These systems analyze transaction data against known trafficking typologies, including the FinCEN red flags and patterns identified in prosecuted cases, to generate alerts for human review. Thorn, an anti-trafficking technology organization, has partnered with financial institutions to develop trafficking-specific detection algorithms. Early results suggest that AI-powered systems can identify trafficking patterns that rule-based transaction monitoring systems miss, though false positive rates remain a significant challenge.

The challenge lies in the fact that trafficking financial patterns often overlap with legitimate activity. A nail salon that processes a high volume of cash transactions may be a trafficking front or a legitimately busy business. A pattern of wire transfers to Southeast Asia may indicate trafficking proceeds or family remittances. Human analysts must review each alert, and the volume of alerts generated by AI systems can overwhelm compliance teams already stretched thin by anti-money laundering obligations.

Suspicious Activity Reporting

Financial institutions file Suspicious Activity Reports (SARs) with FinCEN when they detect potentially illicit financial activity. Between 2014 and 2022, the number of trafficking-related SARs filed by US financial institutions increased more than tenfold, from approximately 1,600 per year to over 16,000. This increase reflects both growing awareness and improved detection, but it remains a fraction of the total trafficking-related financial activity that passes through the banking system undetected.

Banks including JPMorgan Chase, Bank of America, and Wells Fargo have established dedicated anti-trafficking compliance teams. Some institutions have developed AI-powered transaction monitoring systems specifically trained to detect trafficking patterns. However, anti-trafficking organizations have noted that the rate of false positives is high, while many actual trafficking transactions are structured to avoid detection by operating within the parameters of normal business activity.

Follow the Money: Case Studies

Overview

Examining specific cases illustrates how financial flows operate in practice and how investigators use financial evidence to dismantle trafficking networks. The following cases represent some of the most significant financial trafficking investigations in US history, each revealing different dimensions of how trafficking money moves through the financial system.

Backpage.com

The Backpage.com case represents the most significant financial trafficking prosecution in US history. Between 2004 and 2018, Backpage generated over $500 million in revenue, primarily from advertisements for commercial sex, many of which involved trafficking victims including minors. The site’s operators used multiple banks and payment processors, moving to new ones each time a processor shut them down. They eventually processed payments through shell companies in the Netherlands and elsewhere to circumvent US banking restrictions.

In 2018, Backpage was seized by the FBI and its founders, Michael Lacey and James Larkin, were indicted on 93 counts including money laundering and facilitating prostitution. In 2023, a jury convicted both men on multiple counts of money laundering. The case demonstrated both the scale of trafficking-related financial flows and the difficulty of disrupting them through the financial system alone.

Jeffrey Epstein’s Financial Network

Jeffrey Epstein’s trafficking operation was sustained by a sophisticated financial network that included shell companies, offshore accounts, and the complicity of major financial institutions. Deutsche Bank maintained accounts for Epstein from 2013 to 2019, processing millions of dollars in suspicious transactions despite knowledge of his 2008 conviction for soliciting prostitution from a minor. In 2020, the New York State Department of Financial Services fined Deutsche Bank $150 million for significant compliance failures related to the Epstein accounts.

JPMorgan Chase, which banked Epstein from 1998 to 2013, settled a trafficking lawsuit for $290 million in 2023 after evidence emerged that bank executives were aware of suspicious transaction patterns, including large cash withdrawals, payments to young women, and transfers to individuals associated with trafficking. The case raised fundamental questions about the responsibility of financial institutions to detect and report trafficking-related activity.

Operation Cross Country & IMB Takedowns

The FBI’s annual Operation Cross Country, a multi-agency operation targeting sex trafficking, including trafficking through illicit massage businesses, has generated significant financial intelligence on IMB networks. The 2019 operation resulted in the identification of over 100 suspected traffickers and the recovery of 103 minor victims across multiple cities. Financial analysis of seized records revealed standardized business structures: single-member LLCs, merchant accounts under generic business names, lease agreements in the names of nominees, and bank accounts with transaction patterns consistent with cash-intensive businesses processing far more revenue than legitimate massage operations would generate.

These operations have also revealed the role of informal banking systems, particularly in Chinese IMB networks. Fei-ch’ien (flying money) systems, informal value transfer systems analogous to hawala, allow the movement of trafficking proceeds to China without engaging the formal banking system. These systems leave minimal paper trails and operate entirely outside the SAR reporting framework.

Wage Theft as Financial Crime

Wage theft in labor trafficking contexts represents a massive but underappreciated financial dimension of trafficking. When traffickers withhold wages from forced laborers, the stolen wages constitute both the trafficking profit and a financial crime. The Economic Policy Institute estimates that wage theft in the United States, including but not limited to trafficking contexts, exceeds $50 billion annually, dwarfing the combined value of all property crimes. In trafficking-specific contexts, recovered wages have ranged from thousands to millions of dollars per case. The Signal International case resulted in a $14 million jury verdict in favor of trafficked Indian workers, one of the largest labor trafficking recoveries in US history.

Bank Secrecy Act & Reporting Requirements

The Bank Secrecy Act (BSA) of 1970, as amended by the USA PATRIOT Act (2001) and subsequent legislation, provides the primary legal framework for anti-money laundering (AML) compliance in the United States. Financial institutions are required to maintain AML programs, conduct customer due diligence, file Currency Transaction Reports (CTRs) for transactions over $10,000, and file SARs when they detect suspicious activity.

Anti-Trafficking Compliance Evolution

Anti-trafficking compliance has evolved rapidly within the financial industry. The Wolfsberg Group, an association of 13 global banks, issued anti-trafficking guidance in 2020. The FATF issued its first comprehensive report on trafficking-related money laundering in 2018, and updated its recommendations to explicitly address trafficking indicators. The American Bankers Association and the Association of Certified Anti-Money Laundering Specialists (ACAMS) have developed specialized training programs for compliance officers.

Asset Forfeiture & Victim Restitution

Federal law allows for the forfeiture of assets derived from trafficking and the use of forfeited assets to fund victim restitution. In practice, however, the connection between asset forfeiture and victim compensation is weak. The Trafficking Victims Protection Act mandates restitution in federal trafficking cases, but courts have struggled to calculate and enforce restitution orders. A 2014 study by the Human Trafficking Pro Bono Legal Center found that restitution was ordered in fewer than half of federal trafficking cases and that the median restitution amount ($24,000) was a fraction of the profits generated by the trafficking operation.

The gap between trafficking profits and victim compensation reflects a broader systemic failure: the financial system that enables trafficking to be profitable does relatively little to ensure that profits are returned to the people who were exploited to generate them.

Despite these advances, fundamental challenges remain. Trafficking generates cash, and cash is inherently difficult to trace. Small and mid-size financial institutions lack the resources for sophisticated transaction monitoring. Regulatory penalties for AML failures related to trafficking remain modest compared to the penalties for sanctions violations or tax evasion. And the volume of legitimate financial activity dwarfs trafficking-related transactions, making detection akin to finding needles in an enormous haystack.

International Cooperation Challenges

Trafficking finance is inherently transnational, but financial regulation and law enforcement remain largely national. Mutual legal assistance treaties (MLATs) govern the process by which one country can request financial records or asset freezes from another, but MLAT requests are slow (averaging 10–14 months), cumbersome, and frequently denied or ignored by jurisdictions with weak AML regimes. The FATF’s mutual evaluation process identifies countries with deficient AML frameworks, but the consequences for non-compliance are limited.

Jurisdictions with strong banking secrecy laws, including Switzerland, the Cayman Islands, the British Virgin Islands, and Panama, have historically served as destinations for trafficking proceeds, though pressure from the FATF, the EU, and bilateral negotiations has produced incremental improvements in transparency. The Panama Papers (2016) and Pandora Papers (2021) revelations demonstrated the scale of offshore financial secrecy and its potential connections to illicit activity including trafficking.

The financial fight against trafficking is ultimately a fight against the profitability of exploitation. If trafficking proceeds cannot be laundered, invested, or spent, the economic incentive for trafficking diminishes. Achieving this requires not only better detection and enforcement but also structural reforms to the financial system; including universal beneficial ownership transparency, real-time transaction monitoring, and meaningful penalties for institutions that fail to detect trafficking in their operations.