Airtasker CEO predicts drivers will vanish before manual laborers
Tim Fung, founder and CEO of the gig economy platform Airtasker, foresees a stark divide in the job market as autonomous driving technology and artificial intelligence reshape employment landscapes. He warns that human drivers for ride-hailing services like Uber and Lyft could vanish within three to five years, supplanted by self-driving vehicles. In contrast, hands-on tasks such as building fences will likely resist automation longest, offering unexpected job security for manual workers.
This outlook comes amid accelerating investments by ride-hailing giants in autonomous tech. Companies including Uber, Lyft, and DoorDash already deploy driverless vehicles for select deliveries, though leaders acknowledge the hefty upfront costs and ongoing losses. Alphabet's Waymo unit plans to expand its robotaxi services to Orlando, Miami, Dallas, Houston, and San Antonio by 2026, signaling rapid commercialization.
Fung's predictions extend to white-collar roles, where AI poses immediate threats to data scientists, programmers, entry-level engineers, call center staff, customer service reps, accountants, bookkeepers, and technical writers. Recent studies highlight these professions as highly vulnerable, with industry watchers anticipating noticeable job cuts in lower-level office positions by 2026. He advocates for careers in arts, crafts, and trades, arguing they could bring greater fulfillment than tech-driven paths.
Airtasker, which launched in the U.S. market in 2021, connects clients with taskers who negotiate rates and showcase specialized skills for physical jobs. Meanwhile, political scrutiny intensifies over automation's toll. Senator Bernie Sanders has grilled tech executives on AI-driven job displacement, slamming Amazon's plans to eliminate around 500,000 positions through AI, automation, and robotics. He pushes for taxes on automation to aid displaced workers.
Tasks demanding physical dexterity, on-site problem-solving, and adaptability in unpredictable settings remain tough for current AI to replicate profitably. As digital automation surges, these manual skills may prove surprisingly durable in an evolving workforce.
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