There is a Singapore statistic that should stop every business leader mid-sentence: deepfake fraud in the city-state rose by roughly 1,500% year-on-year in 2025.
That is not simply a cybersecurity concern. It reflects a broader erosion of trust across digital systems increasingly shaped by AI-generated, automated, and manipulated activity.
Consumer platforms and marketplaces are also facing growing pressure from synthetic participation. A recent CASE survey found that Singapore consumers are becoming more distrustful of online systems shaped by fake reviews, ticket scalping bots, and manipulated engagement signals. Nearly two-thirds of respondents said ticket scalping prevented genuine fans from attending events, while more than half encountered issues such as fake reviews and misleading online activity when shopping digitally.
Singapore’s financial sector is also among the most exposed. The industry accounts for nearly 79% of bot attacks locally, according to Thales’ 2026 Bad Bot Report, while the Monetary Authority of Singapore (MAS) has separately warned financial institutions about the growing cyber risks associated with deepfakes and synthetic identities.
Together, these developments point to a larger structural challenge emerging across the digital economy: organisations are increasingly operating in environments where it is becoming harder to distinguish genuine human activity from synthetic participation.
The imminent threat: a hollow economy
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Singapore is going all-in on agentic AI. Seventy-two per cent of businesses plan to deploy AI agents across several operational areas within two years, up from just 15% today. The government is also laying important foundations, from a National AI Council and governance frameworks for agentic AI, to broader incentives aimed at accelerating AI adoption across industries.
However, while organisations are pouring millions into making AI more capable, the infrastructure needed to anchor these systems to real, accountable humans remains underdeveloped.
Recent industry data found that 58% of internet traffic in Singapore is generated by bots, with more than half of that activity classified as malicious. What was once dismissed as the "Dead Internet Theory" — the idea that bots already dominate online activity — is now resurfacing as a legitimate operational concern for businesses and platforms alike.
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The risk is the emergence of a hollow economy: one where engagement, transactions, approvals, and demand signals can no longer be assumed to come from real people.
As AI agents scale, this distinction becomes commercially significant. Marketplaces become distorted by synthetic activity. Enterprise workflows become harder to attribute and audit. Financial systems can become more vulnerable to manipulation at machine speed.
In an economy increasingly shaped by AI-generated abundance, the ability to verify authentic human presence online may become one of the most valuable signals businesses possess.
Why identity is not the answer — and what is
Here is where many organisations go wrong. They assume the solution is more identity: stronger biometrics, deeper Know Your Customer (KYC) checks, and tighter surveillance. But identity answers "Who are you?" — a question that is becoming increasingly invasive and difficult to validate in the age of AI.
The more urgent question is simpler: “Are you a real, unique human?”
This distinction is where proof of human technology is beginning to emerge as a complementary trust layer for the AI era. It allows individuals to prove they are a unique human without revealing personal data. Through cryptographic verification, humanity can be established without requiring invasive surveillance or anonymity trade-offs.
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Furthermore, proof of human technology is inherently more resistant to fraud. Unlike passwords or conventional credentials that can be stolen, shared, or replicated, proof of human technology is designed to be unique and non-transferable, making it significantly harder to forge or synthesise at scale.
For businesses, the advantages extend beyond fraud prevention alone. Proof of human enables organisations to build systems around verified human participation rather than assumed authenticity. It helps ensure that engagement, transactions, approvals, and even AI-agent activity can be tied back to real, unique humans, rather than automated or synthetic actors.
This has meaningful implications across the digital economy: fairer marketplaces, reduced manipulation, stronger allocation systems, and more reliable signals for platforms making decisions at scale.
We are already seeing early applications emerge — from virtual collaboration platforms exploring ways to verify genuine human participation in meetings and digital workspaces, to dating and community platforms tackling impersonation, alongside live event ecosystems seeking to reduce bot-driven ticket scalping and fraudulent activity.
AI is extraordinarily effective at generating abundance in content, automation, and scale. But abundance without trust is fragile. Proof of human helps ensure that as AI systems become more autonomous, the humans behind them remain visible, accountable, and real.
Keeping humans in the loop is a business imperative
The world is entering an era where verifiable human presence online may become one of the most valuable forms of digital trust infrastructure. Proof of human is not simply a feature layered onto AI systems. It is emerging as a foundational trust layer for an internet where humans and AI agents will coexist at scale.
The organisations best positioned to preserve long-term trust and resilience will be those capable of verifying real human participation within their systems. Because in digital economies shaped by AI-generated scale, authenticity may ultimately become the scarcest and most valuable resource of all. Proof of human could become as essential to preserving trust online.
Andrew Hsu is the general manager for Singapore and Taiwan at Tools for Humanity
