I Tried DoorDash’s Tasks App and Saw the Bleak Future of AI Gig Work

Editor's take

DoorDash's "Tasks" app has begun enlisting users to film themselves performing mundane chores, effectively crowdsourcing data labeling for AI development. This initiative repurposes the gig economy model, typically associated with delivery or ride-sharing, into a direct conduit for feeding the insatiable data appetites of large language models and other AI systems.

The significance lies in the commodification of everyday human activity as raw material for AI training. This approach could reshape the gig economy, shifting focus from service provision to data generation, with potential implications for worker compensation and the very definition of "work." It also raises ethical questions about the value placed on human labor when it's primarily serving as a training dataset.

Future developments to monitor include the scalability of this data collection method, the compensation structures DoorDash implements, and whether similar platforms emerge to capitalize on this human-generated data pipeline. Observing how these "tasks" translate into tangible AI improvements, and the long-term impact on the gig worker landscape, will be crucial.