Key Takeaways
- • DoorDash is exploring cryptocurrency-based payouts for gig workers through Tempo, a blockchain project backed by Stripe and Paradigm, enabling stablecoin payments to merchants and delivery workers globally.
- • The company launched a standalone "Tasks" app allowing its 8+ million couriers to earn supplemental income by creating training data for AI and robotics models, including photographs of dishes and video recordings.
- • Compensation for Tasks is displayed upfront and varies based on task complexity, positioning DoorDash as what industry analysts characterize as "the largest distributed data collection network in the gig economy."
- • DoorDash plans to use collected content to evaluate internal AI models and those of partner companies in retail, insurance, hospitality, and technology sectors.
- • The strategy represents a diversified revenue approach for DoorDash while providing gig workers direct compensation for training data—addressing growing legal and ethical scrutiny around unauthorized use of copyrighted materials in AI development.
Summary
DoorDash is piloting a cryptocurrency-enabled payment infrastructure for gig workers through a partnership with Tempo, a blockchain protocol backed by fintech infrastructure provider Stripe and venture capital firm Paradigm. According to The Information, the initiative will facilitate stablecoin payments to both merchants and delivery workers on a global basis, expanding DoorDash's financial services offerings beyond traditional payment channels.
Concurrent with this development, DoorDash announced a Tasks app—a standalone platform launched in June 2025—that transforms its existing courier network into a distributed data collection operation for artificial intelligence training. The app enables Dashers to complete "short activities" including photographing restaurant dishes, recording unscripted multilingual conversations, and capturing other visual and audio content during delivery shifts or as independent assignments. With over 8 million couriers across the United States, DoorDash has positioned itself to operate what industry observers describe as the largest distributed data collection network within the gig economy.
The compensation model displays payment upfront before workers accept tasks, with rates varying based on task complexity and effort required. DoorDash plans to deploy this collected data to evaluate proprietary AI models as well as systems developed by partner organizations in retail, insurance, hospitality, and technology sectors. A Bloomberg representative confirmed the company's intention to use Tasks content for internal model refinement and external partnerships.
This approach directly addresses regulatory and litigation pressures facing the broader AI industry. Multiple lawsuits have targeted AI companies for unauthorized use of copyrighted training materials, creating a market advantage for platforms that compensate content creators directly. By embedding data collection into its existing gig workforce, DoorDash creates an additional revenue stream while mitigating legal exposure and positioning its couriers as active participants in AI development rather than unknowing contributors. The dual strategy—combining cryptocurrency infrastructure for global payments with distributed AI training data collection—reflects evolving monetization opportunities within gig economy platforms.
Concurrent with this development, DoorDash announced a Tasks app—a standalone platform launched in June 2025—that transforms its existing courier network into a distributed data collection operation for artificial intelligence training. The app enables Dashers to complete "short activities" including photographing restaurant dishes, recording unscripted multilingual conversations, and capturing other visual and audio content during delivery shifts or as independent assignments. With over 8 million couriers across the United States, DoorDash has positioned itself to operate what industry observers describe as the largest distributed data collection network within the gig economy.
The compensation model displays payment upfront before workers accept tasks, with rates varying based on task complexity and effort required. DoorDash plans to deploy this collected data to evaluate proprietary AI models as well as systems developed by partner organizations in retail, insurance, hospitality, and technology sectors. A Bloomberg representative confirmed the company's intention to use Tasks content for internal model refinement and external partnerships.
This approach directly addresses regulatory and litigation pressures facing the broader AI industry. Multiple lawsuits have targeted AI companies for unauthorized use of copyrighted training materials, creating a market advantage for platforms that compensate content creators directly. By embedding data collection into its existing gig workforce, DoorDash creates an additional revenue stream while mitigating legal exposure and positioning its couriers as active participants in AI development rather than unknowing contributors. The dual strategy—combining cryptocurrency infrastructure for global payments with distributed AI training data collection—reflects evolving monetization opportunities within gig economy platforms.
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