Key Points
XPeng completed first robotaxi ride in eight months from announcement.
CEO He Xiaopeng tested full service chain from hailing to destination.
Company pursuing technology export model to global partners.
XPEV trades $13.03 with Meyka B rating and $25.30 12-month forecast.
XPeng (XPEV) has officially launched internal employee testing of its robotaxi platform, with chairman and CEO He Xiaopeng becoming the first user to complete a full end-to-end journey on July 9. The milestone comes just eight months after the company announced its robotaxi initiative at XPENG AI Day 2025. The move signals XPeng’s strategic pivot from smart electric vehicles to autonomous mobility solutions powered by its proprietary Turing AI chip and VLA2.0 AI model.
From announcement to testing in eight months
XPeng moved rapidly from announcing its robotaxi plan in November 2025 to launching employee testing in July 2026. The company began regular road testing in January 2026, rolled the production vehicle off the line in May, and now has the full service chain operational. CEO He Xiaopeng said this pace exceeded initial expectations. The robotaxi is built on XPeng’s flagship GX SUV model and engineered to L4 autonomous driving standards.
How the robotaxi works and what’s next
The system allows users to open their phones, hail an XPeng robotaxi, and complete a full journey autonomously. He Xiaopeng described the process as seamless, from placing the order downstairs from the office to reaching his destination. The company plans to expand testing to internal users, local Guangzhou residents, and out-of-town visitors soon. XPeng acknowledged that large-scale rollout is a long-term process requiring continued progress on safety, experience, and generalization capabilities.
XPeng’s strategy: technology export over fleet operations
Unlike competitors building proprietary fleets for ride-hailing services, XPeng is pursuing a technology export model. The company aims to become an end-to-end robotaxi technology provider, delivering integrated hardware and software solutions to global partners. XPeng announced this strategy during its first company-wide robotaxi business meeting on July 10. The focus is shifting away from operating its own fleet to accelerating global deployment through partners.
Stock performance and investor outlook
XPEV trades at $13.03 as of July 11, down 35.8% year-to-date. Meyka rates the stock a B with a 12-month forecast of $25.30, suggesting 94% upside from current levels. However, the company faces headwinds: negative net income per share of -$4.72 TTM, a debt-to-equity ratio of 1.46, and an RSI of 40.10 indicating oversold conditions. The robotaxi milestone demonstrates execution capability, but profitability and cash flow generation remain critical tests for long-term viability.
Final Thoughts
XPeng’s robotaxi milestone shows execution speed, but the stock remains deeply unprofitable with weak fundamentals. Meyka’s B grade and $25.30 forecast suggest potential, yet the company must prove it can scale profitably and compete globally in autonomous mobility.
FAQs
XPeng began internal employee testing on July 9, 2026, with CEO He Xiaopeng completing the first full end-to-end ride. The company had announced the robotaxi plan in November 2025.
XPeng is pursuing a technology export model, licensing hardware and software solutions to global partners rather than operating its own ride-hailing fleet like some competitors.
Meyka rates XPEV a B and forecasts $25.30 in 12 months, implying 94% upside from the current $13.03 price. However, the company remains unprofitable.
The robotaxi is powered by XPeng’s in-house-developed Turing AI chip and VLA2.0 AI model. The vehicle is built on the flagship GX SUV platform and meets L4 autonomous driving standards.
Disclaimer:
The content shared by Meyka AI PTY LTD is solely for research and informational purposes. Meyka is not a financial advisory service, and the information provided should not be considered investment or trading advice.
About Author

Huzaifa Zahoor
Co FounderHuzaifa Zahoor is the engineer who built Meyka. He has spent years writing Python, training AI models, and building data pipelines specifically for financial markets. His technical articles have reached over 30,000 readers on Medium, so he knows how to make complex things easy to follow. If this article touches on how the tools work, he is the person who actually built them.
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