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More than a decade ago, teams were already testing remote driving by controlling a Mitsubishi Outlander from another country. Long before Tesla, Waymo, and today’s autonomous vehicle hype, this experiment proved one thing clearly: the technology was possible. But technology has never been the hardest problem. This conversation dives into the real challenges behind self-driving cars and AI-powered systems, including software reliability, testing complexity, signal failures, regulation, job displacement, and long-term social consequences. Autonomous vehicles are not just an AI problem. They are a software quality, governance, and societal problem. ----------------------------------- Over the next few years, founders, engineers, and builders will have to decide: -How safe is safe enough for AI-driven systems? -When does innovation move faster than regulation can handle? -Who is responsible when AI-controlled systems fail? -How do we test complex, real-world AI software at scale? -What happens to jobs when machines replace human operators? -How fast can society realistically adapt to automation? The Future of Transportation is Here and It's NOT What You Expect ----------------------------------- Timestamps:- 00:00 – Mitsubishi Outlander remote driving project 00:22 – Early experiment before self-driving hype 00:38 – Testing remote car control from Pakistan 00:55 – Software vs network signal failures 01:12 – Driving a car remotely from home 01:31 – Guinness World Record experiment 01:51 – Comparing Tesla & Waymo today 02:14 – Human side of talking to drivers 02:36 – Why software testing is critical 02:59 – Accidents & limits of self-driving tech 03:27 – Cars as taxis: Tesla + Airbnb model 04:04 – Real challenge is regulation, not tech 04:38 – Job loss & social disruption risk 05:18 – AI impact on jobs & society 06:04 – Pressure on government support systems 06:55 – Technology change is happening faster 08:10 – Reskilling instead of fearing AI 09:33 – Core skills that never change 11:03 – Skills that never change & final thoughts ----------------------------------- The future of autonomous driving is not just about AI. It is about regulation, trust, testing, and human consequences. ----------------------------------- In this discussion, we explore: -Early remote-driving and autonomous car experiments -Why software testing is critical for AI-powered vehicles -The difference between technical feasibility and social readiness -Regulation as the real bottleneck for self-driving cars -The impact of automation on jobs and society -Why adaptability and reskilling matter more than fear -The Future of Transportation is Here and It's NOT What You Expect ----------------------------------- Key takeaway: AI will keep moving forward. The real question is whether humans, systems, and institutions are prepared to move with it. Kualitatem (kualitatem.com/?utm_source=youtube&utm_medium=youtube website&utm_campaign=youtube website) is a TMMi Level 5 software testing company delivering expert functional, performance, and security testing. Our teams blend deep domain expertise with AI-driven accelerators to expand test coverage, surface risks earlier, and deliver sharper insights—so your software ships faster, safer, and with confidence. Kualitee (kualitee.com/?utm_source=youtube&utm_medium=youtube website&utm_campaign=youtube website), powered by our AI agent Hootie, helps your team fast-track test case creation and achieve 80%+ coverage. With real-time insights and streamlined collaboration, you’ll test smarter and launch better software—faster. ----------------------------------- #selfdrivingcars #autonomousvehicles #ai #futureofwork #technology #innovation #automation #waymo #tesla #softwaretesting #aisafety #techpodcast #businesspodcast #podcastshorts #emergingtech #engineering #startuplife