Elon Musk called self-driving cars a ‘solved problem’ 10 years ago. So how come he’s still working on it?
In a new column, Patrick McGee examines the growing hype around robotaxis by comparing two very different approaches to autonomous ride-hailing. On one side is Waymo, which already operates fully autonomous vehicles across multiple U.S. cities and has logged millions of driverless rides. Waymo’s technology is proven and impressively safe, but it comes at a steep cost: heavily customized vehicles, complex logistics, and operating expenses far higher than traditional ride-hailing services. The result is a system that works—but one that is difficult to scale quickly, even with the backing of Alphabet.
On the other side is Tesla, whose recent robotaxi debut in Austin has sparked outsized excitement despite being limited in scope. Tesla’s long-promised vision of an “asset-lite” robotaxi network—where private owners rent out their cars—has yet to materialize, and the company has quietly shifted toward a more cautious, company-owned fleet model that increasingly resembles Waymo’s approach. McGee argues that while Tesla’s scale and ambition fuel investor enthusiasm, unresolved safety, regulatory, and business-model challenges remain significant. For now, he concludes, robotaxis are making steady progress—but widespread national rollout is still years away, and the hype far exceeds the reality.
Visit The Free Press to read the full article by WWSG exclusive speaker, Patrick McGee.
Hosting Patrick McGee as a speaker would give your audience informed, balanced insight into the geopolitical and economic dimensions of AI and more. McGee is a seasoned tech journalist with deep expertise in both U.S. innovation ecosystems and China’s technology strategy—he authored the award-winning Apple in China, a well-regarded exploration of global supply chain and tech relations.
Patrick McGee’s ability to break down complex issues like AI deployment, industrial strategy, and technological competition into clear, strategic narratives makes him ideal for audiences ranging from business leaders to policymakers. McGee can help your group understand not just the technical advances in AI, but what those advances mean for economic competitiveness, labor markets, and international relations, providing actionable context rather than hype alone.
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