Scam trends by year
How digital scams have shifted from 2023 to 2026, and what is likely next. Each year summarises the top scams, the platforms most affected, the common red flags, and links to check specific messages. To check a message now, use the message checker.
- 2023
Scam Trends in 2023: Delivery Smishing, Bank Alerts and Early AI Phishing
2023 saw a sharp rise in package-delivery and bank-alert text scams, the emergence of QR-code phishing (quishing), and growing awareness of long-running pig-butchering romance-investment scams. AI tools began appearing in phishing emails and fake websites.
- 2024
Scam Trends in 2024: The Text-Scam Explosion and Investment Fraud Surge
In 2024 text-message scam losses reached about US$470 million - roughly five times the 2020 figure, according to FTC data. Task and remote-job scams grew, pig-butchering and crypto-investment fraud surged, and AI voice-cloning awareness rose.
- 2025
Scam Trends in 2025: AI-Assisted Fraud, Government Imposters and Digital Arrests
2025 brought an explosion of AI-assisted fraud - deepfake voices, AI-generated job ads and websites. Government-imposter scams rose sharply (the FTC noted a 40% increase tied to overdue-toll texts), and Canada's anti-fraud centre recorded about C$704 million in reported losses, led by investment and spear-phishing fraud.
- 2026
Scam Trends in 2026: AI-Driven, Emotion-Engineered and Multi-Channel Fraud
Early 2026 indications point to AI-driven, emotion-engineered scams that move victims across multiple channels. Digital-arrest and sextortion scams are surging, employment and recovery scams are resurfacing, and AI voice-cloning is increasingly used to impersonate relatives and executives.
- 2026–2028
Future Scam Trends 2026–2028: Likely Trends and Emerging Risks
Based on the research and expert predictions, these are likely trends and emerging risks for 2026–2028. They are forecasts, not confirmed events - treat each as a reason to strengthen habits like independent verification, not as a certainty.
Figures and trends are summarised from official and cybersecurity sources - see the sources and methodology page for how we select and label them.