The gig economy promised to democratise everything - from taxi rides to accommodation. But what happens when the tools meant to empower everyday entrepreneurs become weapons for systematic fraud? A recent case involving an Airbnb host using AI-generated images to fabricate thousands of dollars in damages has me thinking about how quickly our technological progress can be weaponised against ordinary people.

The story is infuriating in its simplicity. A guest books a long-term stay, backs out, and suddenly faces a $9,000 damage claim complete with convincing photos of destroyed property. Except the photos were AI-generated fakes. The host, described as a “superhost” no less, had apparently decided that a bit of digital forgery was an acceptable way to extract revenge money from someone who dared to cancel their booking.

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 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.