Pony AI (PONY) Q1 2026 Earnings Transcript

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Date

Tuesday, May 26, 2026 at 8 a.m. ET

Call participants

• Chief Executive Officer — Jun Peng
• Chief Technology Officer — Tiancheng Lou
• Chief Financial Officer — Haojun Wang
• Investor Relations Host — George Shao

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Takeaways

• Total Revenue -- $34.3 million, up 145% year over year, with core growth across all business segments.
• Robotaxi Revenue -- $8.6 million, an increase of 395% compared to $1.7 million in the same period last year, driven by higher paid order volume and fleet expansion.
• Fare Charging Revenue -- Grew 46%, bolstered by expanded operations into core downtown areas and increased service coverage during peak hours.
• Robotruck Revenue -- $10.2 million, up 31% from $7.8 million, reflecting growth in long-haul business and a diversified client base.
• Intelligent Solutions Revenue -- $15.5 million, a 246% increase, mainly from a surge in autonomous domain controller (ADC) shipments for low-speed delivery applications.
• Fleet Scale -- Robotaxi fleet exceeded 1,700 vehicles, with a revised year-end target of over 3,500 vehicles versus prior guidance of 3,000.
• Registered Users -- Grew more than 200%, supporting increased weekly average paid orders, which were up over 100% in May compared to January.
• Geographic Expansion -- Operations established in 9 countries, with public robotaxi services active in Croatia, Qatar, Singapore, and South Korea.
• Cost Structure -- Combined depreciation and operating costs per vehicle remain among the lowest globally, with continued improvement expected as scale builds.
• Gross Margin -- 16.2%, reflecting improved operating leverage as revenue scaled faster than total cost of revenue of $28.7 million.
• Operating Expenses -- $63.9 million (GAAP), up 9.5%; $59.3 million (non-GAAP), a 20.2% increase, primarily from R&D investments.
• Operating Loss -- $58.3 million, nearly flat versus $56 million, narrowing the loss margin from negative 401% to negative 170% year over year.
• Net Loss -- $53.5 million, versus $37.4 million, impacted by lower investment income and modestly higher underlying operating expenses.
• Cash Position -- $1.4 billion in cash, short-term investments, restricted cash, and long-term wealth management products as of March 31, 2026, down from $1.5 billion at the prior year-end.
• Capital Expenditures -- $12.5 million, up from $4.9 million, attributed to Gen 7 vehicle production and data infrastructure investments.
• Bond Cost Target -- Management reiterated a goal to reduce robotaxi bill-of-materials cost below RMB 230,000 for the domestic market, supported by fleet scale and ongoing system optimization.
• Business Outlook Revision -- Raised revenue target for robotaxi segment to more than 3.5x prior year, with confirmed expansion plans into over 20 cities globally by year-end.

Summary

Pony AI (NASDAQ:PONY) delivered triple-digit year-over-year revenue growth across each of its major business lines, with robotaxi revenues almost quadrupling, enabling the company to revise its fleet size and annual revenue targets upward for the full year. New market entries in Europe and the Middle East, as well as increased partnership activity domestically and internationally, contributed to both top-line acceleration and diversified revenue streams. The company reported improving gross and net loss margins even as total operating expenses rose, highlighting operational leverage as commercial scale builds. Liquidity remained ample to fund ongoing investments in vehicle production and R&D, supporting management’s confidence in both domestic and global expansion objectives.

• Management stated the company has achieved "UE breakeven" in major Chinese markets (Guangzhou and Shenzhen), supporting future fleet deployment efficiency.
• Pony AI highlighted technology differentiation, with robust fail-operational vehicle architecture and fleet management systems designed for high-safety, high-traffic environments.
• Rapid ADC shipments were credited for record sales in the Intelligent Solutions business, with over 500% year-over-year growth in this unit alone.
• The launch of a Level 4 autonomous light truck broadens Pony AI’s logistics market reach, leveraging shared technology platforms between robotaxi and robotruck units.
• Management explicitly described current regulatory discussions as having "no immediate impact" on business operations, asserting that rising safety standards are viewed as beneficial for long-term growth and industry consolidation.

Industry glossary

• ADC (Autonomous Domain Controller): An integrated hardware-software module that manages high-level autonomous driving tasks such as sensor fusion, perception, and decision-making in AVs.
• BOM (Bill of Materials) Cost: The total direct material and component cost to build a vehicle, excluding labor, overhead, and indirect expenses.
• Level 4 (L4) Autonomy: A class of automated driving that allows a vehicle to perform all driving functions under defined conditions without human intervention.
• UE Breakeven: The point at which unit economics (i.e., contribution margin per trip or vehicle) reach breakeven or positive within key geographic markets.

Full Conference Call Transcript

Jun Peng: Thank you, George. Hello, everyone. Thank you for joining our earnings call. We kicked off 2026 with an amazing first quarter. This strong start defines our growth momentum for the whole year. Let me start with the highlights. I'm proud to report that in Q1 2026, our total revenue grew by [ 145% ] year-over-year, and we also achieved record high quarterly robotaxi revenue. Specifically, our robotaxi revenues grew nearly 400%, powered by more than 50% surge in fair charging revenues. Our operational momentum is accelerating across the board. We have scaled our robotaxi fleet to exceed 1,700 vehicles and amplified this expansion to a massive surge in user adoption.

Now our registered users grew more than 200% year-over-year in China. In fact, our weekly average paid orders so far in May grew more than 100% compared to the beginning of the year. Lastly, we continue to expand our operating area currently broadening our service footprint into an [indiscernible]. Globally, we have been advancing our operations in the capital of Croatia, totalizing Europe first commercial robotaxi service. Looking at our overall Q1 results. I'm thrilled that our strategic and execution mode translated directly into our exponential growth in robotaxi and fare charging revenues by scaling our fleet, user base and pay the order volume. We have achieved consistent month-over-month growth this year.

This is a remarkable achievement as spring typically is a low season for ride hailing. Our dual-engine strategy that is focusing on both China and the global market and the joint deployment model started unlocking new and diversified revenue streams. China market remains our primary growth engine, where we have secured a dominant lead. We are steadily ramping up our domestic suite while simultaneously broadening our operational footprint. We expanded our operations in Guangzhou from [indiscernible] districts into [indiscernible] district, which is the heart of Guangzhou that covers high-demand areas like Canton Tower, the part CBD and the Canton complex.

In Shenzhen, we have been continuously increasing the size and the density of our fleet in [indiscernible] District, the city's 2 business areas. For key transportation hub, we are now providing comprehensive airport transfer services across Beijing, Shenzhen and Guangzhou. Our international expansion is also gaining traction. We have now established a presence in 9 countries and started the services to the public in 4 overseas markets including Croatia, Qatar, Singapore and South Korea. In the capital of Croatia Zagreb, we realized the first robotaxi commercialization in Europe. In the Middle East, our footprint in Dubai and Qatar continues to expand, currently initiating driverless deployment in Dubai.

These achievements serve as proof that our model can be applied smoothly across multiple regulatory and operational environment. Ultimately, creating solid revenue streams. As for the joint deployment model, we consistently make a significant stride because of our technology leadership, our operational success and our commercial maturity, partners increasingly recognize us as their preferred collaborator. We have seen more partners from both domestic and the international markets join forces with us starting to contribute sizable revenue in Q1. Our robotaxis success is continuously driven by our innovation and execution, which helps us to achieve a large-scale fleet excellent technology and operation and a superior user experience.

Moving forward, we will focus on reinforcing these areas to expand market share and cement our industry leadership. Operating scale fleet with consistent stability is a powerful testament to our technology and operational maturity. As we scale, we are supercharging our growth engine. We continue to build competitive barriers and trust from policymakers and fortify our brand position at the forefront of user main share. Currently, we are accelerating the rollout of Gen 7 vehicles across Toyota, Beijing Auto and Guangzhou Auto, exceeding 1,700 robotaxi vehicles. At the Beijing Auto Show last month, we debuted our 2027 version of the robotaxi for domestic market. This upgraded version will achieve further BOM cost optimization to less than RMB 230,000.

This competitive pricing facilitates rapid scaling of the robotaxi fleet for the years to follow. Safety has always been the foundation of our company, which is ensured by our technological and operational advantages. Our industry-leading L4 technology vehicle level intelligence and resilient fleet management help us to maintain an unpremised safety. This proven mastery of highly complex scenarios enable our robotaxis to navigate, pick rush hour sense urban areas and bad weather conditions, satisfying surgeon user demand. We have moved beyond a novo experience into a go-to daily transportation choice. The results speak for themselves, our robotic taxi fares maintain a premium over the entry-level ride-hailing services. Despite this premium service pricing, demand remains exceptionally robust, particularly during peak hours.

Notably, our weekly average paid orders so far in May increased by more than 100% compared to the beginning of the year. significantly outpacing industry-wide growth. Beyond that, we are continuously optimizing ground operations from charging efficiency to dispatching agri This, in turn, boosts our fleet utilization and reduced operational costs. Now let me move to our [ Robotruck ] business. Our Gen 4 Robotruck is slated for mass production in the second half of the year with preproduction vehicles currently rolling off the production line. I'm also pleased to share that in Q1, Robotruck revenues were up 31% year-over-year. This was driven by scaling up long-haul operations.

We also strive to expand our addressable market across multiple fronts, particularly into city urban logistics. To this end, we launched our L4 autonomous light truck in April, leveraging our fully automotive grade and fully redundant Level 4 robotaxi architecture. In terms of Intelligent Solutions, our business we recently renamed from licensing and applications to better reflect our expanding business in this segment. Q1, the ADC, essentially the autonomous domain controller shipments in this segment surged by over 500% year-over-year. This was mainly driven by domain controller deployment in low-speed delivery application. 2026 is off to a strong start for Pony. We have achieved supercharged revenue growth in all 3 business lines without any compromise in safety.

Since the first day of our funding, we have been committed to provide safe and reliable autonomous driving services. It is our deepest moat, as it's now the perfect stage for Pony to demonstrate what a decade of rigorous engineering looks like. Our fourfold global taxi revenue growth fueled by accelerated user adoption in domestic Tier 1 cities and revenue contributions from our joint deployment model, both domestically and globally. Reflecting its powerful commercial momentum, I am now raising our 2026 annual targets that we forecasted earlier this year. First, upgraded fleet target. We are now on a clear path to surpass a fleet size of 3,500 vehicles. which is an upward revision from our initial 3,000 targets.

Second, accelerated revenue growth. We are now lifting our robotaxi revenue target higher to more than 3.5x from our previous target of triple. Third, scaling our domestic and overseas process as we continue to accelerate the scaling up in our existing markets, we are firmly confident to expand our footprint to over 20 cities, both domestically and globally. As an industry leader, our mission goes beyond our own growth. We are here to lead the development of autonomous driving that has sustainable societal benefit. By providing a safe driverless technology that is safe and profitable at scale. We are building the future of mobility that the world can trust.

With that, I'll hand it over to our CTO, Tiancheng Lou, to go over the technology that's powering our leadership. Tiancheng, please go ahead.

Tiancheng Lou: Thank you, James. Hello, everyone. This is Tiancheng. Our strong start in 2026 fully proves our solid technology foundation. Looking at our scale, our [indiscernible] fleet now surpasses 1,700 vehicles. and the Q1 robotaxi revenues skyrocketed by nearly 400% year-over-year, hitting all-time high. Building on this robust growth momentum, we are raising our full year target to over 3,500 vehicles and revenue grows to 3.5x from the level of last year. This scaling up is driven by our proven capability to expand rapidly in high-value markets. But the factory interdowntown core of Guangzhou Hydro District and launching Europe's first commercial robotaxi service. We demonstrated our true technology leadership.

Only a tech leader can deploy feed so quickly into these high-value ultra-complex urban areas. Because our technology navigate this environment safely, more users choose to call our robotaxi and more partners want to collaborate with us. It is this demonstrates the capabilities that give us the confidence to upsize over scale. Another clear testament was our performance during a series of concerts called in Guangzhou earlier this month. This event attracts tens of thousand attendees around the stadium. I'm very proud that Pony's robotaxi officially become a government-recommended transportation choice for the peak post concerted cloud.

We put this out because we can master this level of extreme localized demand seamlessly, being integrated into official local traffic plan, proves that the authorities highly trust our cities and operational capability. So ultimately, mastering this stands high-traffic environment demand that sleep in engineering by orders of magnitude. It comes down to 3 core technical pillars, an exceptional training paragraph, robust operational redundancy as well as safe and efficient fleet management. Many years ago, we realized a critical truth. The public demand a much higher safety standards for L4 drives robotaxis than procurement drivers. This means when human drivers make mistake to try to accept as a normal part of daily life.

But if an AI driver makes a mistake, the public trust will be negatively impacted. This understanding shipped over years ago, we could not achieve true L4 by simply learning from human driving data. More importantly, knew we could not sell L4 through a simply scaling law like that large language model, meaning just increasing parameter size and data win. Turning from human driving data and scaling up parameters can give you a decent L2 driving system, but that level of AI is only good enough for L2 assistant driving when a human acts as the backup. It can never work for large-scale L4 robotaxis because they cannot significantly beat human safety level. Driving is very different from AI coding.

In coding, the AI does not need to make decisions without a low latency and the first output does not need to be perfect. The AI can try, fail and stitched errors multiple times during our agent freemwork competitors and test environment. Human expect to see a final result except the must run of trial and error. But for AI lever, the model output must be instant and correct on the first track. Therefore, we started using reinforced learning and word model years ago. Today, this approach allows our robotaxi to drive much safer than humans, especially in complex areas. This early gives us a massive first move advantage allowing us to rapidly deploy our robotaxi in high-value market globally.

However, for true L4 vehicle, achieving safety just at the algorithmic level is not enough. It system downgrade and cost accident or simply stop that on a high-speed road to wait for rescue the public will not accept it. That is why every single pony's robotaxi features a full-stack multilayer redundancy architecture for both software and hardware. This gives us through operational capability, if any component fell during that trip, the season stay fully functional, the car will continue to drive safely to the secure spot and over avoiding traffic conjection and rare and crashes. Furthermore, overcut can drive normally even when there is no network or GPS signal both of which can in drop in urban environment.

We also do not rely on high-definition map. For example, even when road layout or markings change significantly or even if we need to drive in the opposite lane our system adapt and navigate safely based on real-time load detection. We also take any event instantly over cars encrypted with impact sensors to the system note immediately if collision occurs or stop the vehicle right away. We also detect hardware for software failures and network instability instantly to ensure driving safety. We even have specialized water waiting sensors to make sure our costs do not enter the part that could cause damage. At over operation expense, keeping the entire fleet stay becomes just as critical as a single [indiscernible].

To achieve this, with scale or intelligence into citywide [indiscernible], protecting our larger operations through 3 strong lines of defects. The first line of prevention. We have a dedicated safety team to systematically eliminate risk from the very beginning, we technical design to stop safety issues before they happen, including risks from human errors of cyber attacks. For example, over remote season only provide high-level guidance, they do not control the car. The onboard module on the vehicle responsible for any conditional accident avoidance. This ensures our remote assistant cannot call the accent through wrong input or network delay. The second line detection. If demand expects and our vehicles end up heading in the same direction.

Our smart dispatching system ensure they don't arrive at the same section or one, but rather ride 1 after another. If I love this block are conducted, over system will also detected it instantly and notify the whole fleet to avoid making the traffic worse. The third line is response. We established dedicated ground sport team. If a vehicle encounter any issue on the road, overrate personnel will arrive at the same within minutes to handle the situation immediately.

Being short, our technology makes our operations safe and this last operate build over ultimate mode because we choose the right foundation from day 1 and we now have a unique capability and a first mover advantage to rapidly expand in high-value markets. By the end of this year, we target to expand our fleet to over 500 vehicles across more than 20 cities. This massive scale will allow us to unlock even greater commercial value while continuing to deliver the first most trusted alpha-rated service both domestically and globally. This concludes my prepared remarks. I will now pass the call to our CFO, Dr. Leo Wang. Leo, please go ahead.

Haojun Wang: Thank you, Tiancheng. Hello, everyone. This is Leo. I will focus on year-over-year comparisons for the first quarter of 2026, unless otherwise noted. For detailed financials, please refer to our earnings release. 2026 is the year where our commercialization strategy translates into remarkable financial performance. This quarter total revenues reached a record of USD 34.3 million, representing a 145% increase from USD 14 million in the same quarter last year. The triple-digit top line growth was driven by robotaxi revenue growth of 395% and intelligent solutions growth of 246%. We are also capturing compounding benefits as we extend our Atom driving technology from robotaxi into robo truck and other partners along the value chain. Diving deeper into robotaxis.

This segment continues to serve as our core growth engine. This quarter, we reached a record high robotaxi revenue of USD 8.6 million grew by nearly 400% compared with USD 1.7 million in the first quarter of 2025. As James mentioned, 3 key elements have helped the Pony to achieve a leadership mode in robotaxi operation. These are still fleet, excellent technology and operations as well as superior user experience. one's robotaxi has become a popular service that has captured user mind share. And this is now reflected in our financial numbers. Specifically, our fare charging revenues delivered an exceptional growth of 46%. This impressive increase was driven by several compounding factors.

We continue to add more vehicles and expanding into more regions, especially to core downtown areas with higher economic value. Operating metrics reflect our growing capacity and strong user demand. For example, our weekly average paid order so far in May grew more than 100% compared to January, registered users increased more than 200% year-over-year, and our daily order growth rate continued to outpace the industry average. We'll make this strong growth trajectory even more remarkable is our pricing power. Even after this comp, our effective sale rate per kilometer remains above entry-level pricing on wide heading platforms and is on par with the standard [indiscernible]. Our demand remains robust and is growing at a very fast piece.

We believe this is a clear reflection of the superior ride experience and the robust technology we deliver, especially during peak hours and in traffic have downtown areas. On the cost side, we continue to make good progress on both operating costs and the bond cost front. Pony's combined depreciation and operating costs per vehicle are already among the most competitive globally. And this is achieved while operating in the business downtown area during the morning and the evening peak hours and their under most demanding traffic conditions. By leveraging operational efficiency, we continue to drive operating costs even lower, and are also on track to bring robotaxi bond costs below RUB 230,000 by mid-2021 in the domestic market.

Together, these 2 levers, declining operating costs and the lowering bond costs will further enhance our robotaxi margins as we scale the fleet. Aside from their charging revenues, our joint deployment model has started to contribute meaningful revenues with both domestic and overseas partners. Such a model will enable more efficient use of capital in fleet deployment, specifically as a global technology enabler. We successfully launched the first commercial robotaxi service in the city center of [indiscernible] with our local partners, combined with our expanding operations in China, this is a strong testament to the execution of our dual-engine strategy. Turning to robotruck.

Robotruck services revenue grew 31% to USD 10.2 million this quarter. up from USD 7.8 million in the first quarter of 2025. This growth was driven by the addition of more trucks and the expansion of our diversified client base, reflecting increasing demand from downstream logistics clients in the long-haul business. We continue to see our industry-leading auto driving technology, expanding into wider use cases. for example, long haul trucking and intracity logistics. Looking ahead with the launch of Level 4 atoms light truck and again for robotruck we are firmly on track to deliver even better auto driving trucks with lower cost, superior driving performance and wider use cases, expanding into a wider addressable market.

Our Intelligent Solutions segment, formally the Licensing and Applications segment delivered a remarkable growth of 246% and reaching USD 15.5 million in the first quarter of 2026, up from USD 4.5 million in the first quarter last year. This exceptional performance was mainly fueled by strong sales of atoms domain controllers. Such strong growth is yet another testament to the opportunities of our account driving technology. as we empower other customers along the value chain. Moving to cost and margin. Total cost of revenue was USD 28.7 million, translating to a gross margin of 16.2%. Total operating expenses were USD 63.9 million, increase of 9.5%. On a non-GAAP basis, operating expense were USD 59.3 million, representing a 20.2% increase.

Such commitment, especially in R&D, have helped us to maintain our technology leadership and will effectively drive down our bond costs. Loss from operations was USD 58.3 million, remaining relatively flat compared to USD 56 million in the first quarter last year. Net loss was USD 53.5 million compared to USD 37.4 million in the first quarter last year. The increase was mainly attributable to the realization of investment income that occurred in Q1 2025, coupled with the modest increase in operating expenses excluding the impact from this investment realization, the underlying loss amount remained broadly stable.

It's worth noting that the loss from operation margin nallowed drastically, from negative 401% in the first quarter of 2025 to negative 170% this quarter. Similarly, our net loss margin narrowed from negative 267% to negative 156% year-over-year. The narrowing loss margin trends demonstrate our operating leverage driven by the rapid revenue growth and the gradual realization of commercial scale benefits. Turning to our balance sheet. Cash and cash equivalents, short-term investments restricted cash and long-term debt instruments for wealth management stood at USD 1.4 billion as of March 31, 2026, this compares to USD 1.5 billion as of December 31, 2025. We continue to maintain an exceptionally robust financial position with ample dry powder to execute our strategy.

Net cash used in operating activities was USD 74.2 million this quarter compared to USD 54.2 million in the first quarter of 2025, the increase was primarily due to an increase in the accounts receivable resulting from substantial sales revenue increase of auto-driving domain controller, along with the increase of non-GAAP loss from operations. Capital expenditures were USD 12.5 million this quarter, compared to USD 4.9 million in the first quarter last year. The increase was primarily due to Gen 7 vehicle production for the quarter. and the procurement of vehicle components for future manufacturing and investments in data centers and servers.

We believe 2026 will prove to be a defining year for the industry. and we are confident in our ability to outperform the industry in operational and financial execution. With our solid robotaxi operational excellence, continued strong cost optimization, increasing partner interest and a strong cash reserve. We are highly confident in accelerating our path towards sustainable profitable growth for our shareholders. I will now turn the call over to the operator to begin our Q&A session. Thank you.

Operator: [Operator Instructions] The first question today comes from [indiscernible] with Jefferies.

Unknown Analyst: Congrats on the strong quarter. Just 1 from me. I'd like to ask about the regulatory environment. We've seen quite a bit of movement on the policy side for the robotaxi sector, both in China and overseas. So I was hoping you could share your perspective on how this evolving regulatory landscape is shaping up. And more importantly, how you see it impacting Pony AI's business or your competitive positioning going forward?

Jun Peng: This is James, and I'll take this question. So as far as I know, most of the policy discussions, both domestically and globally, are actually centered on the safety operation of robotaxi. As you all know, safety is the cornerstone of the [indiscernible] driving industry. Therefore, I would consider the safety discussion and the result of standardized safety or even higher safety measures are beneficial for the long-term stable development of the industry.

As Pony, we have had many years of experience of successfully operating a large fleet and have the experience working with regulators to have a healthy, more transparent environment. especially in China, we have built a deep trust with regulatory authorities, and we consider that we will continue to work hand-hand with the regulators to safely bring autonomous driving to the public. Back to the safety sales. As Tim mentioned, we have established a full life cycle safety management for both autonomous driving vehicle itself and also the fleet operation. Every vehicle features a fully redundant architecture with fail operational capability, that is our vehicles actually will always sit pro over even during an extreme case of system failure.

Additionally, our fleet management has the capability to detect and respond to any unforeseen issues on the road. The whole system actually serves as a city-wide CTNet to prevent traffic jams and handle real-time road changes. This is actually how we ensure safety and scale. This highly sophisticated and robust safety system and also the safety track record have given us confidence to scale our business quickly. The current policy discussions and policy updates do not have any direct impact on our business. In contrary, we are, as you see, during the prepared remarks, I have actually raised our business targets for the whole year of 2026.

We are continuing to push forward with our Gen 7 deployment, and we are making smooth progress towards our target in fleet size, revenue and operational area expansion. So as I mentioned, there's no immediate impact. And I believe that in the mid- to long term, actually, the trends standardized regulatory environment will play directly to our advantage as we already established as the industry leader. It highlights once again that the complexity of operating robotaxis at scale in dense uber environment, which is exactly we have proven our capability. I think ultimately, these high standards will consolidate the market, filter out the unqualified players and further read entry barrier for the new players.

And as a result, it will help the long-term growth of the industry. With this, I will hand over to the operator.

Operator: Next question comes from Ming-Hsun Lee with Bank of America.

Ming-Hsun Lee: Given you raised your robotaxi fleet size to 3,500 by the end of the year and also you raised revenue. Could you elaborate more on the key drivers behind your upward revision for these 2 numbers?

Haojun Wang: This is Leo. I'll take this one. So the upward revision is definitely showing that we are encouraged by our strong commercial momentum and especially the result of Q1. To be honest, this is actually moving faster than we expected, and it's reflecting many all areas in our robotaxi business. For example, we are seeing our domestic operations are accelerating. We are seeing the pickup in revenue in paid order volume and also in the user basis in all Tier 1 cities in China.

This is really a reflection that we are providing a qualified service nonstop in Shenzhen and in Guangzhou, and we are attracting more and more repeated users because we can provide a service even during peak hours with consistency even during complex scenarios and that eventually translates into more revenues. And the other point is how we make the UE breakeven milestone in Guangzhou and Shenzhen. This also serves as a proven case for future possibility. And that's why we are seeing many of the potential partners.

Now they have the real interest domestically and internationally to really participate in our joint deployment business model. this could be more efficient use of our capital, but it also means we could deploy more vehicles in different markets. So given all these facts and encouragement, that's why we have the confidence to push our robotaxi revenue growth target even higher to be 3.5x of 2025 and also our [indiscernible] to be 3,500 vehicles by this year-end. And now I'll go back to the operator.

Operator: The next question comes from Wei Hong with Deutsche Bank.

Bin Wang: So I have a question on [indiscernible] recently lost or electric, the resin over show, and we'll explain the strategic considerations for launching this platform in the commentation for [indiscernible].

Jun Peng: This is James, and I'll take this question. As you consider the company vision since our founding has always been autonomous mobility everywhere. And to us, the work everywhere actually has 2 implications. One, expanding our presence across both domestic and overseas markets. And the other is scaling our technology across different vehicle platforms for both the passengers and the fleet transportation. So the launch of our L4 autonomous light truck actually aligns perfectly with our vision and our ambition. In the logistics sector, the value chain actually sends long-haul trucking, urban logistics, and the last mile delivery. We already established a robotruck division that working on the long-haul logistics.

And for the last mile delivery, we are not directly working on it, but we actually have already becoming the leading ADC provider. So the current -- the recent launch of Level 4 light truck is actually serves the purpose of completing 1 key segment in our full logistics portfolio. The platform for the Level 4 light truck also shares a nearly identical software stack as our robotaxi. It can also fully utilize our existing operational infrastructure, such as remote assistance, the ground support networks and even the cleaning charging facilities. This unified architecture creates a powerful synergy, it can actually further flesh out our light truck operating cost by half compared with the human-driven light truck fleet.

Also, we can actually lower the operational overhead of our robotaxi service because we can share a lot of their background support. In terms of the current status, we are developing the level for light trucks, and it's already well underway. For example, we codeveloped this level electric light truck with CATL, and we are establishing a solid pipeline with some of the leading logistics companies for the future application of those trucks. In addition, we all started discussing with the regulators on the licensing front and also on the fleet management. So we expect the Auto Light truck to begin scaled operation early next year. With this, I'll get back to the operator.

Operator: The next question comes from Ting Song with Goldman Sachs.

Ting Song: My question is on the technology part. So regarding the VLA visual language action model in autonomous driving, could you please share more on Pony's strategy and your future expansion technology path. Do you think the language part is still necessary as we recently noted some supply chain there start to remove the language from their models.

Tiancheng Lou: This is Tiancheng. I will take this one. Let me start from saying that the core of driving its understanding of the intention of other road users and respond appropriately. By [indiscernible] our intention layer into our onboard model training, we generate different intention combinations, and we evaluate the possibility of all other traffic participants. This design ensure our onboard model always like the [indiscernible] and have a plan ready for any event, even for low possibility adjucatons. We believe the language is not the essence of driving. Also language models take too much computer power for a car. Instead, we believe intention is the real core for driving.

When human drives they think about the intention of other cars, not natural language. Crucially, this intention data is hard to get from simple road testing we make generate it by 1 model. We believe large language models or language layers do not help on the [indiscernible] side, where old model and the generative data essential for training. In fact, top driving and large link models to very different tasks. Our large language model agent like a coding tool does not need to have very low latency. It does not need to be perfect on the first trial. It works in a low-cost environment where it can try fail and fix mistakes inside the testing box.

But the driving has the room for mistakes. If you make a mistake, it is an accident. Therefore, our tolerance for air health nation is 0. To solve this, we build a virtual driving environment in our model. This allows the system to try and fail during the training stage. not on real load. During the real-world inference stage on the car, our model does not pick the single highest possibility paths. Instead, it chooses actions that ensure safety under any our ability. With this, back to the operator.

Operator: The next question comes from Jeff Chen with Citi.

Ming Chung: How should we think about the balance between sustaining its high-growth trajectory and your increasing strategic investments, especially when you are revising of the full year target.

Haojun Wang: Jeff. This is Leo. I'll take this question. Yes, we have a very good Q1 results. which prove that our robotaxi commercialization strategy dual engine strategy is translating into accelerated top line growth. And as you can see that our top line growth is actually outpacing our expenditure, which resulted in our operating loss margin narrowed quite a lot this quarter. Given all this momentum, we are confident to raise our full year business target so that we can achieve even higher growth trajectory, which I think is really important for any growth company.

In the meanwhile, we need to make strategic increased investment in certain areas, tends to keep our advantages in the industry. using example is we are actually on track to decrease our total bond cost to be less than RMB 20,000 in the domestic market by mid-next year. Through our R&D works and deepen collaboration with our OEMs. And we think this definitely will be a payback for our future deployment and will attract more joint deployment business model partners. So I think that this is a balancing regarding, again, the expenditure and also investment versus the trajectory of our growth. We are definitely putting the growth trajectory as our highest top priority.

But we will always follow a value-driven and disciplined approach for these front-loaded expenditures. Thank you. I'll go back to the operator.

Operator: The next question comes from Purdy Ho with Huatai Securities.

Purdy Ho: Management, congratulations on the solid results. I'd like to focus on your international expansion strategy given the recent commercial traction we are seeing overseas. Could you provide more colors on your road map for global fleet expansion? Specifically, as you are evaluating different markets such as the Middle East, Europe and Asia, what it takes your prioritization across this region.

Jun Peng: This is James. Let me take this one. as my answer to the last question, our company vision is autonomous mobility everywhere. And you can see that global expansion has always been part of our strategic efforts. Our dual-engine strategy is rapidly accelerating our global expansion. As more international countries introduce regulations in supporting autonomous driving and also there's many more partners who want to work with us. Because of these 2 factors, we are seeing actually tremendous growth opportunities abroad. In fact, several international markets have already started contributing to our -- contributing sizable revenues to us in Q1.

So it's actually, we're capitalizing on this window because our technology and commercial operations in China's Tier 1 cities have already given us extensive experience in handling the most complex urban environments, and also we have already achieved UE breakeven in Shenzhen and Guangzhou. So this proven technical capability and cost advantage. Also because of the overseas policy opening. This is actually the underlying driving force for our accelerated global efforts. In terms of our international footprint, we are actually, as you mentioned, scaling quickly across all these key regions. We have now established our presence in 9 countries and started local taxi services to the public in 4 overseas markets, including Croatia, Qatar, Singapore and South Korea.

In Europe, we partnered with Uber and [ Vern ] to launch the region's first commercial robotaxi in [indiscernible]. In the Middle East, where advancing fare charging services in Doha and initiating fully driverless operations in Dubai. In Asia, we have deployed public robo taxi services in Singapore and currently are conducting robust testing in South Korea. So certainly, moving forward, we'll continue to collaborate closely with all the local regulators and our trusted partners to accelerate our commercialization. We'll certainly double down on our investment and fully committed to expand our footprint to over 20 cities worldwide by this year. With this, get back to the operator.

Operator: The next question comes from Eugene Hsiao with Macquarie Capital.

Eugene Hsiao: In the earnings release, some of the CapEx in Q1 was for stock building of [indiscernible] I'm wondering if you could please update us on if there's any material input cost impact for rising component costs. And I think Neil mentioned earlier that we're still on track for the [indiscernible] cost reduction to reach 230,000 by next year. So what areas are we targeting to reach this target?

Haojun Wang: Yes, I'll take this question. This is Leo. Thank you for asking this question. In terms of bond cost reduction, we have always been using a holistic approach, meaning we are looking into all aspects regarding the base vehicle regarding the auto-driving hardware to get the overall bond costs down along the road. So I think several factors will drive down our future bond costs. First of all, we are deploying more and more vehicles. Our vehicle total fleet size will increase with a larger volume, especially with more and more deployment partnership coming in, we could give a more quantity order to our suppliers definitely they'll help us to negotiate with the pricing from our suppliers.

Second is now we already have our Gen 7 vehicle on the street and accumulating millions of kilometers giving us real data showing where we can refine our system where we can simplify our system where we can optimize our system. Based on these real data, definitely we can do our R&D work to further cut down our bond cost. Of course, the supply chain itself has a certain uncertainty. However, Pony has been dealing this uncertainty along the years. So for this year, for example, the memory, of course, there is certain shortage. However, we act quickly last year to secure the supply for memories. So again, this is showing our capability on handling these shortages.

That's why we are very confident to hit that bond cost target by mid-next year. Thank you.

Operator: As there are no further questions, I'd like to turn the call back over to the host for closing remarks.

George Shao: Thank you once again for joining us today. If you have any further questions, please feel free to contact our Investor Relations team. We look forward to speaking with you in the next quarter.

Operator: This concludes today's conference call. You may now disconnect your lines. Thank you.

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