Fraud is not just financial loss but a confidence shock, driving lasting behavioural change, eroding trust, and quietly slowing digital finance adoption.
Fraud is still measured, discussed, and reported as a financial problem. Losses are aggregated into billions, tracked across markets, and benchmarked, just like other economic indicators. While this framing is neat, comparable, and easy to communicate, it’s also incomplete.
Behind every fraudulent payment sits a human response that does not appear on balance sheets. Anger, shame, anxiety and doubt are not line items; however, they still affect how people engage with financial systems. Indeed, increasing evidence suggests that fraud is less a financial event and more a confidence shock to the digital economy.
While the industry has become very good at measuring the former, it still underestimates the latter.
Beyond the transaction: What the data actually shows
LSEG Intelligence’s recent global survey on fraud makes this point uncomfortably clear. While financial losses remain significant, the emotional and behavioural consequences are more widespread and systemic.
Over half of victims report anger or frustration after being scammed, while nearly a third experience embarrassment or shame. Thus, reactions after being scammed are deep, such as anxiety around finances, loss of control, and stress-related symptoms.
More striking still is what follows. Behaviour changes are almost universal. According to research, 97% of victims alter how they act after being scammed, with victims being more cautious, sharing less information, double-checking transactions, and in many cases, withdrawing from certain digital channels altogether.
While some of these changes might appear positive, since greater caution and increased scrutiny could be interpreted as improved financial hygiene, the same data shows a parallel erosion of trust. Victims begin to doubt not only institutions and platforms, but also their own judgment.
What the data reveals is something closer to defensive behaviour. And defensive behaviour, at scale, has consequences.
Fraud as a psychological event, not just a financial one
While it might be tempting to treat these emotional responses as secondary effects (unfortunate but ultimately peripheral to the financial loss itself), this would be a mistake.
The responses we see among fraud victims resemble those more commonly associated with breaches of trust (rather than simply an economic loss). Shame is a prime example. Unlike anger, which can be externalised, shame is often internalised, discouraging reporting, isolating victims, and limiting the likelihood that sufferers seek support.
This has two important implications.
First, it distorts the data. After all, if a significant proportion of victims do not report fraud due to embarrassment, the industry is systematically undercounting the scale of fraud. What is measured as “loss”, therefore, is only a subset of what actually occurs.
Second, it prolongs the impact. A financial loss can, in theory, be reimbursed, for example, via the UK’s mandatory authorised push payment (APP) fraud reimbursement framework. Yet, a loss of confidence is harder to restore. The psychological aftereffects of fraud can subsist long after any financial resolution has been reached.
The quiet erosion of trust
Trust is the invisible infrastructure layer within digital finance. Every online transaction, whether a payment, an investment, or a simple transfer, is underpinned by the assumption that the system works and that the counterparty is, in fact, genuine. Fraud undermines this assumption.
LSEG Intelligence’s research highlights a significant shift in how people engage with digital channels after being exposed to scams. Many become hesitant to transact online. Others avoid specific platforms or types of interaction altogether. Some start to question the authenticity of communications they would previously have accepted without hesitation.
AI-enabled fraud amplifies this rise. Exposure to deepfakes, voice cloning, and highly convincing impersonation scams has led a substantial proportion of consumers to become less trusting of phone calls, video interactions, and even familiar brands.
This has meant an erosion of trust, with people far less willing to engage freely within it.
From an institutional perspective, this is, of course, difficult to measure, since there’s no single metric for lost confidence. Notwithstanding, its impact can be profound, resulting in reduced engagement, increased friction, and growing scepticism, all stifling the growth of digital services.
A generational dimension to the problem
The psychological impact of fraud is not evenly distributed. Different generations experience and respond to it in distinct ways.
Research reveals that younger consumers (particularly Gen Z and Millennials) are more likely to lose money when targeted. Nearly half of victims in these groups report financial loss, compared with around a third of older generations. Their exposure to digital channels, combined with the sophistication of modern scams, increases both the frequency and the effectiveness of attacks.
At the same time, older consumers tend to report stronger emotional responses. Feelings of anger, shame, and distress are often more pronounced, even when financial losses are lower.
This creates a nuanced landscape. Younger users face greater exposure and higher loss rates, while older users may experience more severe emotional consequences. Both dynamics contribute to the broader erosion of trust, but through different mechanisms.
Importantly, these patterns challenge a common industry assumption: that digital familiarity equates to safety. The data suggests the opposite. Greater exposure to digital environments often increases vulnerability, particularly when scams are designed to mimic those environments with high precision.
The implications are far-reaching, shaping how institutions think about user experience and engagement.
The industry’s blind spot
Over the past decade, financial institutions have invested heavily in fraud detection and prevention. These efforts have yielded measurable improvements. Systems are faster, more sophisticated, and better able to identify suspicious activity in real time.
However, the focus has largely remained on preventing fraud before it occurs. The question arises: what happens after a scam? This question has received comparatively less attention.
The survey data highlights a clear gap in this area. Only a small minority of consumers fully understands the protections or reimbursements available to them in the event of fraud. Many are unaware of their rights entirely. Even among those who have been scammed, awareness remains low.
A broader issue is at play here. The system is optimised for prevention, not recovery. When prevention fails, the response is often fragmented, unclear, or insufficiently communicated.
From a psychological perspective, this matters as much as the fraud itself. A lack of clear support can reinforce feelings of helplessness and mistrust. It can also shape how victims perceive the institution involved, regardless of whether the fraud originated within that institution’s systems.
Put differently, the post-fraud experience is not simply a customer service issue; it’s a trust issue.
Rethinking fraud as a confidence shock
If fraud is understood primarily as a financial loss, the logical response is to minimise it. This leads to a focus on detection, prevention, and reimbursement.
If, however, fraud is understood as a confidence shock, then the response must surely be broader.
It’s not surprising that confidence shocks affect participation. After all, they influence whether individuals choose to engage with digital services, how frequently they do so, and how much they’re willing to trust those services. In aggregate, these decisions shape the trajectory of the digital economy.
Reframing fraud in this way does something important by placing financial loss within a wider context.
Several implications follow.
- Measurement needs to evolve. Financial loss alone is an incomplete indicator of impact. Emotional responses, behavioural changes, and trust metrics should be considered alongside traditional figures.
- Recovery should be treated as a core component of fraud strategy. Clear communication, accessible support, and visible resolution processes can help rebuild confidence after an incident.
- Education needs to be more targeted and more transparent. The current gap in awareness around protections and reimbursements suggests that existing efforts are not reaching consumers effectively.
- Coordination across the ecosystem becomes essential. Fraud does not occur in isolation. It spans banks, payment providers, platforms, and regulators. Addressing its psychological impact requires a similarly joined-up approach.
The quiet risk to digital growth
Digital finance depends on participation. It relies on individuals being willing to transact, share information, and engage with increasingly complex systems. Fraud introduces friction into this process. Not always in visible ways, as we have seen, but in subtle shifts in behaviour and perception.
When people hesitate before making a payment, avoid certain channels, or question the legitimacy of communications, the system becomes less efficient. When enough individuals do this, growth slows. This is the quieter risk that sits beneath the headline figures. Not a collapse of trust, but a gradual withdrawal from it.
The data suggests this process is already underway. Confidence is falling even as awareness rises. Consumers are adapting, surely, but not always in ways that support continued digital expansion.
Worryingly, if this trend continues, the implications extend beyond fraud itself, affecting how financial institutions interact with customers, how platforms design user experiences, and how regulators think about consumer protection.
A shift in perspective
Fraud is not going away. If anything, it’s becoming more sophisticated, scalable, and difficult to detect. Advances in technology, particularly in artificial intelligence, are accelerating this trajectory.
The industry’s response must keep pace. But keeping pace is about understanding what is actually at stake. The industry knows the financial cost of fraud is significant. The psychological cost, however, may be greater. And the systemic cost, in terms of lost confidence, could be greater still. Recognising this does not require abandoning existing approaches. It requires expanding them.
