Economic crime in 2026: What leaders are seeing and why it matters

Economic crime in 2026: What leaders are seeing and why it matters
Apr 20, 2026
The roundtable event highlighted a clear consensus: economic crime is now a systemic, technology‑enabled threat that cannot be addressed through reactive investigation alone.

Economic crime remains one of the most pervasive and damaging threats facing the UK and the global economy.

Fraud is now the most prevalent crime type in the UK. Organised criminal groups exploit digital channels, global financial systems and regulatory gaps at scale, while law enforcement, regulators and industry face rising demand and finite capacity.

Against this backdrop, our Economic Crime Leadership Event brought together senior leaders from across government, regulation, law enforcement and industry to reflect on how the threat is evolving. While discussions were held under Chatham House Rules, several broad themes emerged that reflect challenges being faced across the board.

A threat shaped by scale, reach and technology

The scale of economic crime is significant:

  • Fraud accounts for around 40% of all recorded crime in England and Wales
  • An estimated £100 billion is laundered annually through UK‑linked financial systems
  • Thousands of organised criminal groups operate internationally, using economic crime to fund wider criminal activity

Economic crime is now global, networked and increasingly enabled by technology. Criminals use digital platforms, social engineering, cyber techniques, crypto‑assets and fast payment systems to reach victims and move illicit funds at speed.

What was once sporadic or opportunistic has become persistent and industrialised. Technology has reduced barriers to entry, enabled scale and obscured traditional distinctions between fraud, cybercrime and financial crime.

There is also growing recognition that economic crime cannot be addressed in isolation. It sits within a broader threat ecosystem, increasingly linked to serious organised crime and, in some cases, national security concerns.

Converging threats, rising harm

A defining feature of today’s landscape is convergence.

Fraud, money laundering, cybercrime and sanctions evasion increasingly overlap and are often driven by the same organised networks. High‑volume offending can mask high‑harm criminality, with proceeds funding drugs trafficking, exploitation, environmental crime and other serious offences.

There is also increasing overlap with geopolitical risk, including the use of complex financial structures and professional enablers to evade sanctions and conceal beneficial ownership. This convergence raises the stakes.

Economic crime is no longer simply a question of financial loss or regulatory compliance. Its impact extends to system resilience, public trust and national security, undermining confidence in institutions, markets and public services.

Shared pressures across the system

While organisations operate in different contexts, several common challenges are widely recognised.

Demand consistently exceeds capacity
The volume and complexity of economic crime make it impossible to pursue all activity. Choices about where to focus effort are unavoidable.

Data volumes are vast and growing
Digital activity has driven an explosion in data from multiple sources and systems. The challenge has shifted from collection to data quality, structure and exploitation.

Cases are increasingly complex
Investigations are more likely to be long‑running, multi‑jurisdictional and evidentially demanding, with significant disclosure and governance requirements.

Together, these pressures reinforce a shared conclusion: the system cannot investigate its way out of economic crime using reactive, case‑by‑case approaches alone.

A move towards prioritisation and prevention

Strong alignment is emerging around the need to rethink how economic crime is addressed.

Rather than responding to individual referrals or alerts in isolation, leaders are increasingly focused on:

  • Prioritising activity based on threat, risk and harm, not volume
  • Shifting towards intelligence‑led and preventative operating models
  • Disrupting criminal networks earlier, upstream of harm
  • Using insight to guide operational decisions at scale

This reflects a broader recognition that success cannot be measured solely through investigation and prosecution. Prevention, disruption and harm reduction are becoming equally important measures of effectiveness.

The role of technology – with caution

Technology and AI feature heavily in conversations about the future response to economic crime, but with an important caveat.

Technology delivers value only when it is embedded within coherent operating models. Used well, it can support prioritisation, reduce burden, strengthen governance and enable collaboration. Used poorly, it can add complexity without improving outcomes.

The challenge is not simply adopting new tools, but integrating technology with people, process and leadership so it supports – rather than overwhelms – frontline work.

Looking ahead

Economic crime will continue to evolve alongside technology, geopolitics and global financial systems. While it cannot be eradicated, its impact can be reduced through better prioritisation, stronger collaboration and intelligence‑led approaches that focus on prevention as well as response.

Many of the themes highlighted at the event are explored further in the Economic Crime Threat Assessment, which examines the scale of fraud and illicit finance, the convergence with organised crime and national security, and the implications for organisations operating in high‑demand, data‑rich environments.

The assessment provides a detailed overview of the current threat landscape and outlines practical considerations for strengthening resilience, improving prioritisation and reducing harm.

By continuing to share insight and challenge assumptions at a system level, there is an opportunity to move beyond reactive responses and towards more coordinated, preventative and effective ways of tackling economic crime.

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