Below you will find pages that utilize the taxonomy term “Gig-Economy”
The Great Uber Shuffle: When Rideshare Becomes a Game of Chance
The notification pings on my phone: “Your driver has cancelled your trip.” Then another. And another. Five cancellations in ten minutes for what should be a straightforward $50 ride across Melbourne. Sound familiar? If you’ve been using rideshare apps lately, you’ll know this frustrating dance all too well.
What started as a revolutionary solution to Melbourne’s transport needs has morphed into something that feels increasingly like the old taxi system we were so eager to escape. The promise was simple: tap a button, get a ride, everyone wins. The reality? It’s become a bizarre game where drivers cherry-pick their trips while passengers stand on street corners playing rideshare roulette.
The Dark Side of Delivery App Algorithms: When AI Becomes Your Boss
The recent discussions about delivery app algorithms have really struck a chord with me. While I’m fascinated by AI technology and its potential, the current implementation in the gig economy seems more dystopian than revolutionary.
Reading through various comments and experiences from delivery drivers, it’s becoming clear that these algorithms aren’t just tools for efficiency - they’re sophisticated systems designed to manipulate human behavior. The pattern is disturbingly similar to how poker machines work: hook new drivers with better opportunities initially, then gradually reduce their earnings once they’re invested in the system.