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<\/figure>\n\n\n\nUber has one of the largest mobility platforms on the planet, with around 200 million active users each month. No autonomous vehicle manufacturer has a similar customer base on its own. For many technology companies, it is much more efficient to integrate into Uber's network than to try to create a global transportation service from scratch.<\/p>\n\n\n\n
The strategy isn't limited to car manufacturers. Uber also maintains a close collaboration with Nvidia, whose hardware and artificial intelligence platforms are becoming a benchmark for numerous autonomous driving developers. In this way, Uber contributes to creating an ecosystem where different companies can share the same technological infrastructure without depending on a single manufacturer.<\/p>\n\n\n\n
Naturally, the future is still quite open. Some alliances will evolve, others will disappear, and new partners will emerge as the technology matures. In fact, Uber has already modified some initial agreements while incorporating new manufacturers into its platform, demonstrating great flexibility in adapting to a rapidly changing market.<\/p>\n\n\n\n
What's truly interesting is that Uber no longer needs to predict which company will win the technological race. If several manufacturers manage to develop competitive robotaxis, they can all become suppliers for the platform.<\/p>\n\n\n\n
It's a smart way to diversify risk. While others compete to build the best autonomous vehicle, Uber is working to become the central hub connecting these vehicles with millions of travelers worldwide.<\/p>\n\n\n\n
The strategy seems sensible and highly pragmatic. The company remains at the forefront of the autonomous driving revolution without incurring the enormous cost of developing all the technology on its own.<\/p>\n\n\n\n
Now, all that remains is to wait for robotaxis to reach commercial maturity. If that moment arrives in the coming years, Uber will likely have positioned itself to lead the autonomous mobility of the future.<\/p>\n\n\n\n
Time will tell.<\/p>\n\n\n\n
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Views: 0 Hace apenas una d\u00e9cada, Uber so\u00f1aba con desarrollar sus propios coches aut\u00f3nomos. Corr\u00eda el a\u00f1o 2016 cuando la compa\u00f1\u00eda destin\u00f3 miles de millones de d\u00f3lares a crear una tecnolog\u00eda que promet\u00eda revolucionar el transporte. Sin embargo, los problemas t\u00e9cnicos, varios accidentes durante las pruebas y el enorme coste del proyecto acabaron obligando a […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[128,111,135,155],"tags":[],"class_list":["post-4886","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence","category-autonomous-cars-vehicles","category-technology","category-transportation"],"yoast_head":"\n