Deepfakes: Factsheet 2024-25
Blog post description.
7/24/20252 min read
Deepfakes 2024–2025: Key Facts & Figures
Prevalence & Growth
10x increase in global deepfake incidents detected across all sectors in the past year.
3000% rise in AI-powered fraud attacks from 2022 to 2023.
700% surge in deepfake-enabled financial scams (2023).
60% of consumers globally have encountered a deepfake video in the past year; only 15% say they have never seen one.
95% of all deepfake videos made using open-source DeepFaceLab software.
Main Threats & Impact Areas
88% of deepfake fraud targets the cryptocurrency sector.
96% of deepfake videos online are pornographic/non-consensual.
80% increase in deepfake-related cybercrime in South and East Asia in the last year.
400+ companies per day targeted by deepfake audio/video CEO scams (USA).
$500,000: Average cost of a deepfake scam for affected businesses (2024).
Notable Incidents (2024–2025)
$25 million lost: Arup (Hong Kong) – deepfake Zoom scam with AI-cloned CFO and team.
$620,000 lost: Inner Mongolia businessman scammed by AI video call (China).
Pentagon fake explosion image: Caused real-world panic and stock market dip (USA, 2023).
US Election: AI-voice of Joe Biden used in robocalls urging voters not to vote.
AI Voice Cloning
3 seconds of audio needed to clone a voice with ~85% accuracy.
1 in 10 people report receiving a scam call using an AI-cloned voice of a loved one.
77% of those targeted by AI voice scams lost money.
Detection Challenges
51% accuracy: Average human ability to detect AI-generated images (no better than random guess).
65% success rate: Best AI detection algorithms against advanced deepfakes.
704% increase in deepfake attacks on ID verification systems (2023).
Nepal-Specific Data
68% of Nepali youth aware of generative AI; 46% actively use AI tools (2024).
635 cybercrime cases involving children (2023–24), up 260% from the previous year; most involve AI-manipulated images.
No current law specifically criminalizes deepfakes in Nepal (as of 2025).
Future & Security Risks
By 2027: Up to $40 billion in annual global losses from AI-driven fraud (U.S. estimate).
30% of enterprises by 2026: Standard identity verification controls predicted to be insufficient due to deepfakes.
Real-time deepfake impersonation now possible in live video/voice calls.
Widespread “liar’s dividend”: Growing public skepticism toward all visual and audio evidence.
Source: Compiled from global cybersecurity reports, World Economic Forum, Reuters, Time, local Nepali media, UNICEF/ChildSafeNet studies, and expert analyses (2024–2025).
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