Anker's controversial data collection scheme reveals how companies are monetizing user privacy for AI training. The Chinese security camera giant paid Eufy customers $2 per video to capture real and staged theft footage, collecting over 200,000 videos from users who turned their homes into training grounds for surveillance algorithms.
Anker just turned its customers into paid data collectors, and the implications are staggering. The Chinese company behind Eufy security cameras offered users cold hard cash - $2 per video - to capture theft footage for training its AI detection systems. The program ran from December 2024 through February 2025, but its impact on privacy and surveillance capitalism is just beginning to unfold.
The offer was surprisingly explicit about its goals. According to company documents, Anker wanted 20,000 videos each of package thefts and car break-ins. But here's where it gets weird - the company actively encouraged users to stage fake crimes. "You can even create events by pretending to be a thief and donate those events," the campaign website read. Users could potentially earn $80 by staging a single car theft scenario captured by multiple cameras.
The financial incentive worked. More than 120 users publicly confirmed their participation on the campaign's announcement page, though Anker won't reveal the total participation numbers or how much it ultimately paid out. The company collected footage through a simple Google Form where users uploaded videos alongside their PayPal details for payment.
What's more revealing is Anker's ongoing "Video Donation Program," which gamifies data collection through an "Honor Wall" ranking system. The top contributor has donated an astounding 201,531 videos, according to screenshots from the Eufy app. These aren't small clips either - they're full surveillance recordings from users' homes, driveways, and businesses.
The program exposes a troubling trend in AI development where companies are essentially crowdsourcing their training data by paying consumers to surrender their privacy. Unlike traditional data collection that happens passively, this model actively incentivizes users to create content specifically for algorithmic consumption.
Privacy advocates have long warned about surveillance capitalism, but Anker's approach represents a new frontier - surveillance participation. Users aren't just being monitored; they're being paid to participate in their own monitoring and that of others in their communities.
The program becomes more concerning when viewed against Anker's privacy track record. In 2023, The Verge discovered that Eufy had been misleading customers about encryption protections. The company advertised end-to-end encrypted camera streams, but footage was accessible unencrypted through its web portal. Only after sustained pressure did Anker admit to misleading users and promise fixes.
Now the company is asking for even more sensitive data, including footage from baby monitors. A separate program requests parents share recordings from nursery cameras, though without monetary compensation. The support documentation doesn't explain what AI training occurs with infant surveillance footage or how long the company retains these recordings.
This data collection model is spreading beyond Anker. Last month, TechCrunch reported that viral calling app Neon was paying users to share phone call recordings and transcripts for AI training. The app went offline after a security flaw exposed all users' personal data to anyone who requested it.
The regulatory response has been minimal. While the EU's AI Act addresses some training data concerns, it doesn't specifically regulate paid data collection from consumers. American privacy laws remain fragmented, leaving companies largely free to experiment with these monetization schemes.
For Anker, the video collection represents a competitive advantage in the crowded security camera market. Better AI detection algorithms could differentiate Eufy cameras from competitors like Ring or Nest. But the company is essentially using its customers' homes and neighborhoods as testing environments for surveillance technology.
The broader implications extend beyond individual privacy. When companies pay users to create training data, they're building AI systems on economically motivated content rather than naturally occurring data. This could introduce biases or blind spots in detection algorithms that rely on staged scenarios rather than real-world events.
Anker's pay-for-privacy scheme reveals how AI companies are transforming users from products into paid participants in their own surveillance. While $2 per video might seem like easy money, users are essentially training the very systems designed to monitor them and their communities. As this model spreads across the tech industry, regulators need to address not just what data companies collect, but how they incentivize users to surrender increasingly intimate aspects of their digital lives. The question isn't whether companies will continue paying for user data - it's whether society will recognize the true cost of turning privacy into a gig economy.
