How delivery workers in Mexico City use WhatsApp groups to share real time info on crashes, robberies, harassment, and their deliveries in high crime areas
A 1,000-person WhatsApp community keeps delivery workers safe — a recent Tuesday night, Luisa Amezquita, a Rappi company delivery worker … Tweets: @ozm , @went1955 , and @llchristyll Tweets: OneZero / @ozm : Delivery workers in Mexico have been robbed at gunpoint and killed in crashes. Women drivers often face harassment from clients and restaurant staff. With little support, workers are forced to turn to each other to address the hazards of their jobs. http://read.medium.com/uLJA8GP Robert Went / @went1955 : Uber Delivery Workers in Mexico Are Tracking Thieves Through Google Maps and WhatsApp Networks. “No one talks about the well-being of the drivers, because the company doesn't recognize them as workers. Who supports them? They support each other” https://onezero.medium.com/... Christy Thornton / @llchristyll : An incredible story of mutual aid and worker self-organization, keeping delivery workers safe in Mexico City. By @psskow: https://onezero.medium.com/...
Context & Ripple Effects
This story sits at the start of a documented arc of gig-delivery hazard coverage in Mexico: months earlier, [[a:943538|Uber Eats couriers described dangerous streets and insurance they could never claim after accidents]]. The WhatsApp groups are what workers built in that vacuum — with platforms offering little safety support, a 1,000-person community now routes real-time reports of robberies, crashes, and harassment around Mexico City.
What looks like mutual aid is also early collective infrastructure. Within a year, worker discontent had surfaced openly in protest movements by delivery workers across Brazil, Mexico, Chile, Argentina, and Ecuador, making these quiet information networks an early signal of the organizing wave that followed.
First-order effects
- Rappi and Uber delivery workers in high-crime zones gain a live map of risk — which neighborhoods to avoid, which clients or restaurant staff harass — that neither platform provides.
Second-order effects
- Platforms face a widening gap between their official safety promises and the worker-built systems filling in for them, pressure that compounds as protests like the regional delivery-worker movements make conditions publicly visible.
Third-order effects
- If the pattern holds, consumer messaging apps become de facto labor infrastructure: Chinese couriers are already forming unofficial unions on WeChat and Douyin to counter algorithmic pressure, pointing toward worker coordination networks that operate entirely outside formal employment structures.
The trend: Gig delivery workers are self-organizing safety and coordination networks on everyday messaging apps, substituting for protections their platforms never built.