Robotaxi enters the era of mass production within ten minutes

Author | Zhou Zhiyu

The Robotaxi (autonomous driving taxi) industry is entering a brutal “Warring States period.” In the past, companies would pay for stories about autonomous driving technology and conquering long-tail scenarios; now, as major players go public one after another, scale profitability has become the focus of competition.

On March 9, Geely Remote New Energy Commercial Vehicle Group signed a deepening strategic cooperation agreement with Waymo, announcing that the new front-assembly mass-produced Robotaxi GXR will roll off the line in the third quarter of this year, with 2,000 units to be delivered within the year. The production line logic is also changing: the single vehicle assembly time, previously about 1 hour in retrofit mode, has been violently compressed to under 10 minutes.

Previously, the Robotaxi industry generally faced the deadlock of “difficult mass production and high costs.” With Geely Remote and Waymo breaking through, the industry has officially moved beyond the initial prototype stage. A fierce battle over capacity, costs, and delivery has begun.

In this process, whoever can first establish a closed loop for large-scale deployment will survive in the capital market’s earnings season, and whoever can lead this elimination race will be the first to succeed.

Breakthrough

In recent years, the Robotaxi track has been lively but has never escaped the awkward label of retrofit factories.

Buying a mass-produced vehicle, disassembling, drilling, and installing radars in the after-sales workshop—this model inevitably results in poor consistency and high costs, becoming the biggest obstacle to commercialization. For Han Xu, founder and CEO of Waymo, this pain is tangible: “A car is scattered somewhere, a bunch of people rush to install, that’s not mass production, that’s a workshop.”

Front-assembly mass production has become the key tool for Waymo to break through current development bottlenecks.

One of the core highlights of this launch event is that the GXR has achieved true “native” manufacturing. Relying on Geely Remote’s mature supply chain system and steer-by-wire AI chassis technology, GXR considers the hardware requirements of autonomous driving from the very beginning (SOP stage) of vehicle design.

Geely Remote CEO Fan Xianjun used an analogy for Wall Street Journal: previously, front and rear assembly were separate, requiring two tests and two integrations. Now, front assembly is integrated, like a human’s native organs—very smooth. If a person gets a prosthetic limb, you need to re-integrate and re-recognize; but if it’s original, it’s seamless.

This “native” advantage directly reduces costs significantly. Specifically, this industrialized reduction cuts vehicle manufacturing costs by 15%. In the single-vehicle economics (UE) model of Robotaxi, vehicle depreciation is the largest explicit cost, and this reduction can bring the breakeven point forward. Meanwhile, optimized front-assembly integration also reduces the power consumption of autonomous driving kits by 50%, directly lowering daily operational energy expenses.

Han Xu estimated: “Previously, we did retrofit vehicles, which were modified by enthusiasts. Now, Geely Remote’s production line shortens the single vehicle assembly time from 1 hour to under 10 minutes. This is a hallmark of modern industrial civilization—mechanization, large-scale production.”

Beyond manufacturing efficiency, perception capabilities are also advancing in tandem, no longer just parameter stacking.

GXR is equipped with Waymo’s latest Gen8 autonomous driving suite. Its core laser radar, with a thousand lines, improves point cloud resolution by 17 times, with detection range extended to 600 meters—2-3 times the industry mainstream solutions.

This is not for show. In high-speed scenarios with dozens of tons of cargo, braking distances are physically extended infinitely. Han Xu explained that this upgrade allows the vehicle to see 2-3 times farther than others, gaining over 70% more reaction time in high-speed scenarios.

This redundancy ensures all-weather operation in heavy rain, fog, and other extreme weather—after all, true commercial operation is weather-agnostic.

A deeper breakthrough is rewriting the definition of “safety.”

Fan Xianjun revealed a detail: he argued with the product lead over a parameter for 40 minutes. Ultimately, this pillarless vehicle passed rigorous tests—top pressure withstands 45,000N, body torsion stiffness reaches 38,000N·m/deg, far exceeding safety standards.

Additionally, for common minor collisions in Robotaxi operations, both sides have made targeted engineering optimizations. Han Xu mentioned that previously, the sensing was linear, so slight height differences or impacts (like helmet hits) might not be detected. Now, the vehicle’s sensors provide full-enclosure face sensing, capable of sensitive collision detection while filtering false alarms like flying stones.

This comprehensive overhaul—from microscopic sensors to macroscopic vehicle structure—marks that Robotaxi has finally shed the patchwork feel. It has become an industrial standard designed for autonomous driving.

For the industry, this means the competition dimension has shifted: it’s no longer about whose demo runs more smoothly, but about who can industrialize production at lower BOM costs and higher yield.

Disruption

A peak battle for commercializing Robotaxi has already entered a climax with the establishment of the “Iron Triangle” model.

From a market perspective, although domestic Robotaxi trials are underway in multiple cities, they face fierce competition as consumer-level advanced driver-assistance prices decline. When Tesla FSD and Huawei ADS attempt to turn passenger cars into part-time Robotaxis, dedicated L4 operational vehicles must find a broader moat.

Going overseas to find a “new continent” with stronger payment capacity and larger market space has become a consensus among top players. But going abroad is not easy, especially amid complex geopolitical situations and strict data security reviews.

Waymo and Geely Remote have explored a “tripartite” path of “AI technology (Waymo) + vehicle manufacturing (Remote) + global operation (scenarios).” This is not only a business model innovation but also a survival wisdom under geopolitical games.

Geely Remote offers not just capacity but a “compliance passport” to global markets. The prototype vehicle “Remote Super Van” has entered nearly 30 European markets.

After cooperation, Waymo no longer needs to laboriously demonstrate vehicle safety to European regulators, as Remote already holds the strictest NCAP five-star certification.

Han Xu, when discussing overseas operation challenges, expressed a mix of helplessness and confidence as a Chinese tech company: “In the Middle East, with endless yellow sand, moisture from the skin dissipates outward. Retrofit vehicles there often suffer from aging seals and door squeaks. But Remote’s vehicles have never had issues.”

He even bluntly said, “If it weren’t for geopolitical and trade protectionism, I believe this vehicle’s cost-performance ratio would easily dominate the European market. That vehicle (Remote Super Van) is far better than European competitors.”

Currently, both sides have launched operations in Abu Dhabi and Dubai, with a formal opening in Singapore on April 1. This compliance-first capability gives Waymo a broader moat in overseas regulation responses compared to pure tech service providers.

Another reality is that future commercial Robotaxi scenarios will become more complex, covering long-distance transport and cold chain logistics. In this field, pure electric solutions are not a panacea. Fan Xianjun also proposed methanol as a solution.

“As the penetration of new energy increases, commercial vehicle scenarios will extend from urban delivery to medium- and long-distance transportation,” he said. “In this field, pure electric cannot solve range issues, hydrogen is too expensive, and methanol—being a ‘liquid hydrogen’—is the best solution for energy independence and cost.”

This strategic approach holds high strategic value for Robotaxi and future Robotruck (autonomous trucks). Currently, most Robotaxis are converted from pure electric models, which face significant range anxiety in cold or long-distance scenarios. The “methanol-electric + pure electric” dual-technology route planned by Remote provides an energy interface for deploying autonomous driving in more complex commercial scenarios. That’s why Han Xu said: “Wherever people can drive, we want a universal technology to do it. In the future, whatever kind of commercial vehicle Remote makes, Waymo’s autonomous driving tech will be the best fit.”

Industry expects that driven by Geely Remote and Waymo, the Robotaxi supply chain will undergo a reshuffle. Those unable to achieve front-assembly mass production or lower hardware costs will lose competitiveness in the industrialization wave.

With the momentum of front-assembly mass production, Waymo’s fleet will surpass 2,600 units this year. This is just the beginning.

Han Xu gave a bold prediction on-site: “The growth of Robotaxi will follow a faster-than-Moore’s law curve—doubling integration every 18 months, halving prices, and increasing fleet size by 2.5 to 3 times annually. By 2030, the fleet will reach tens of thousands; by 2035, it will be 1 million units.”

By 2026, when the Robotaxi industry enters the “post-IPO era,” capital market patience will have run out. Whoever can first establish a scalable closed loop, industrialize high-tech affordability, and produce at scale will write a handsome growth curve in their financial reports.

For those still unable to solve front-assembly mass production and still screwing screws in retrofit workshops, time is running out.

The second half of Robotaxi has no room for sentiment—only the survivors will prevail.

Risk Warning and Disclaimer

Market risks exist; investments should be cautious. This article does not constitute personal investment advice and does not consider individual users’ specific investment goals, financial situations, or needs. Users should consider whether any opinions, viewpoints, or conclusions herein are suitable for their particular circumstances. Invest at your own risk.

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