How WeRide Built a Global Robotaxi Business in 9 Years | Tony Han, CEO WeRide

WeRide CEO Tony Han on where robotaxis actually break even, how the Uber partnership works in Abu Dhabi, and why Europe could be profitable from day one.

Most robotaxi conversations cover one city, maybe one country. Tony Han runs a company that has tested or operated in more than 60 cities across 13 countries and holds autonomous driving permits in eight of them. Daniel Abreu Marques sits down with the co-founder and CEO of WeRide — the Nasdaq and Hong Kong dual-listed operator behind robotaxis, robobuses, robovans, robosweepers and a fast-growing ADAS business — to get specific about the numbers.

This is a conversation about business models, not demos. Where each product line makes money, how deployment decisions actually get made, what regional break-even means in practice, and why Tony believes almost none of his L2 competitors qualify as robotaxi companies at all.

You'll discover:

• Where WeRide is at or near break-even today, and why Europe's higher taxi fares change the math from day one
• How the three-way Abu Dhabi structure works, and who actually decides how many vehicles run on a given day
• What happened to rider behavior after Uber launched a dedicated autonomous category — and why the surprise wasn't what you'd expect
• Why more than 80% of last quarter's new vehicles went to robotaxis rather than the other four product lines
• The "qualification process" Tony proposed a year ago, and why he argues no L2 competitor has passed the reverse version of it
• Why WeRide refuses to build robotrucks or mining trucks despite the obvious adjacency
• How WeRide selects European launch cities — population, taxi density, regulator openness, and one factor most operators ignore entirely
• Why he calls the L4-to-L2 move a "projection" and the L2-to-L4 climb a "lifting" problem

Tony also gets into the parts of the story that rarely make the earnings call: the sabbatical that turned into a Baidu AI Lab role, why he left a tenured professorship for a company with no business plan, what Taoism and Bertrand Russell have to do with building autonomous systems, and why a live connection hiccup during the recording turned out to be the best possible illustration of the physical AI reliability problem.

For anyone tracking where autonomy goes next — from the Middle East build-out to Spain, Slovakia, Denmark and the open question of Germany — this is the operating picture behind the headlines.

Timestamps

0:56 - Introduction
1:58 - Leaving a tenured professorship
2:15 - Baidu AI Lab, Andrew Ng, and an unexpected desk mate
6:36 - What philosophy has to do with autonomous driving
9:05 - Five product lines, five business models
15:15 - Why WeRide won't build robotrucks
17:52 - Inside the 3,400-vehicle fleet
18:46 - How WeRide decides what gets deployed where
21:19 - Who owns the vehicles: asset-light vs. own fleet
22:32 - The Middle East doubled in one quarter
23:13 - Abu Dhabi: how the Uber partnership actually works
24:50 - What changed when riders could choose a robotaxi
26:48 - Business class at taxi prices
28:44 - Europe: Spain, Slovakia, Denmark and what comes next
30:26 - How WeRide picks a European city
32:44 - Germany, Wittgenstein and a robotaxi in Stuttgart
34:01 - Unit economics: where WeRide breaks even
36:22 - Physical AI vs. digital AI
39:03 - L4 to L2: projection, lifting and the qualification test
42:45 - What separates the long-term winners
44:31 - Closing: a live lesson in reliability