Daily Technology
·05/11/2025
Artificial intelligence keeps advancing. Clear patterns now show how industries will change by 2025. The following lines list the most important shifts.
Companies already hire people through gig platforms to supply the human judgment that AI training demands. Workers receive small payments for short jobs - they label security video, record phrases in their native language or check whether a data entry is correct. Because millions of micro tasks exist, the supply of training data scales up fast.
The arrangement creates a new category of flexible work and a revenue stream for the platform. Uber offers a concrete case. Its “Digital Tasks” program, housed inside Uber AI Solutions, lets drivers plus couriers in the United States besides India earn extra cash by performing the same kinds of labeling and verification jobs. A transport network therefore doubles as a data collection service.
Robo-cars are leaving the test track and entering regular traffic. Operators want one app to dispatch both human drivers but also driverless cars so that riders experience a single, continuous service. Many planners treat this mixed fleet as the realistic step before fully autonomous roads.
Profit remains elusive and safety questions persist - yet funding continues. Uber plans to deploy 100,000 robotaxis built with Nvidia hardware. The firm also runs experimental trips in San Francisco with Nuro's small delivery pods. Waymo enlarges its own taxi zone in parallel announcements. Those moves show that the entire sector is pressing ahead.
Mass job loss is not the immediate outlook. Platforms now design systems where people as well as algorithms divide the labor. Machines handle high volume, repetitive steps - people handle exceptions, customer care and complex decisions. Companies keep efficiency gains without sacrificing human flexibility.
Uber describes the same hybrid plan for its ride network. CEO Dara Khosrowshahi states that the Uber app will list both human drivers or autonomous vehicles in one search. The platform expects to broker any form of short task labor, not only rides. This structure supplies a practical route for folding automation into everyday work.









