Shanghai Securities News Exclusive Interview with Wu Gansha: The Second Decade of Autonomous Driving — From "Securing the Floor" to "Competing for the Ceiling"

2026-06-29

The following is the content of Shanghai Securities

News exclusive interview with Wu Gansha, Co-founder, Chairman and CEO of UISEE.

Reporter: Yu Xiangming

After a decade of market baptism, UISEE officially

listed on the Hong Kong Stock Exchange on May 20.

"We do not regard the listing as a

particularly significant milestone," said Wu Gansha, Co-founder, Chairman

and CEO of UISEE, in an exclusive interview with Shanghai Securities News.

Before founding UISEE in 2016, Wu Gansha worked at

Intel for exactly 16 years. Having witnessed too many internal innovations fail

in the "valley of death," he firmly committed to the autonomous

driving track and prepared for a "protracted war." For this reason,

Wu Gansha prefers to divide the companys development into "the first

decade" and "the second decade."

He told reporters that in the first decade, UISEEs

core mission was to "secure the floor" — both ensuring the floor of

the companys survival and guaranteeing the floor of product safety. The listing

on the Hong Kong Stock Exchangemarks the end of this phase.

"In the second decade, we will compete for the

ceiling," said Wu Gansha. This shift has been quietly reflected in the

companys internal theme setting. From

technology to strategy, from R&D to commercialization, from autonomous

driving to "Physical AI," UISEE is vigorously advancing toward

higher-level autonomous driving capabilities.

"Counter-Common Sense" +

"Counter-Consensus"

<a name="heading_1">UISEE Blazes Its Own Trail</a>

Whether in entrepreneurship or investment, choosing

a path less traveled requires both courage and wisdom. Wu Gansha has deep

insights into this.

"Counter-consensus and counter-common sense

are actually two different concepts," said Wu Gansha. At the beginning of

his entrepreneurship, the track he chose appeared to have two points of

"counter-consensus" in the industry: in the field known as the super

track of autonomous driving, UISEE chose to do the dirty and tiring work,

focusing on small scenarios; among small scenarios, it chose the most difficult

airport as its entry point. Surprisingly, on top of the two "counter-consensus"

points, UISEE also ran head-on into the "common sense fallacy" of the

industry at that time.

"At that time, everyone thought autonomous

driving had suddenly reached 99 points, and 100 points were just around the

corner. But in fact, for autonomous driving, first of all, 99 points equals 0

points, and secondly, the last 1 point is extremely difficult to conquer. We

have summarized a 1-99 principle: you reach 99 points quickly, but the last 1

point requires 99% of the time and effort. This is a very painful

process," he said.

Ultimately, "protracted war" and

"longevity" have become UISEEs winning formula. Relying on the

self-developed U-Drive® system, since reaching cooperation with Hong Kong

International Airport in 2018, UISEEs autonomous vehicle fleet has accumulated

over 3.7 million kilometers of safe operation at Hong Kong Airport, covering

all business scenarios such as baggage towing, passenger transfer, and security

patrol. According to the Frost & Sullivan report, based on 2025 revenue,

UISEE holds a 90.5% market share in the L4-level commercial vehicle autonomous

driving market for airport scenarios in Greater China; it also ranks first in

the factory scenario with a 31.7% market share.

Wu Gansha told reporters that today, UISEE is

providing L4-level autonomous driving technology services to various industries

worldwide. As a steady industry leader in commercial vehicles for closed

scenarios such as airports and factories, the business is steadily extending from closed scenarios to open

scenarios, with service scope expanding from logistics to passenger-carrying

scenarios, covering all levels of autonomous driving applications from L2 to L4.

Focusing on Full-Scenario L4-Level Autonomous

Driving

Autonomous driving is a super track where companies

at home and abroad compete fiercely. Facing competitors such as Tesla, Waymo,

Pony.ai, WeRide, CIDI, and Neolix, how to continue accelerating and achieve

breakthroughs after "blazing its own trail" has become a must-answer

question for Wu Gansha.

His answer is: in the next decade, UISEE will

"compete for the ceiling," focusing on full-scenario L4-level autonomous driving.

"Waymo and Tesla have chosen passenger

vehicles and open roads, which are undoubtedly extremely difficult, with

complex and non-converging scenarios, and extremely complex business model

calculations," said Wu Gansha. UISEE has more precisely chosen scenarios

with long working hours, high labor

intensity, and harsh working environments.

"These scenarios are numerous, and the

problems are often fragmented and non-standard. Although the ceiling of each

niche market is not high, they require serving large customers with stricter

requirements. We first develop the technology in these scenarios, then validate

the business model, build capabilities, and further develop cross-scenario

capabilities," Wu Gansha frankly stated. UISEE positions itself as a

"decathlete," and currently the company has formed a cross-scenario technology platform, achieving significant

reduction in marginal costs through cross-scenario migration.

Wu Gansha repeatedly emphasized the strategic value

of "full scenarios" — enough vehicles, enough scenarios, and enough

data. Citing a classic industry judgment: "The core moat of AI in the future is data with professional barriers."

He bluntly stated that data on public roads can be

collected by anyone, but proprietary data in closed or semi-closed scenarios

such as airports, ports, mines, and factories can only be possessed by

companies like UISEE. "These data form our data flywheel and constitute a

unique competitive advantage."

This is exactly why UISEE insists on full

scenarios, which is rooted in Wu Ganshas initial profound understanding of the

autonomous driving track — autonomous driving is a "20 or even 30-year

protracted war" that cannot always rely on external capital. Therefore,

the company must develop its own "blood-making ability."

When asked whether it would disclose

"per-vehicle profitability" data like Pony.ai, Wu Gansha clearly

stated: "What we pursue is not per-vehicle profitability, but the companys

overall break-even. Narrowing losses and gradually moving toward profitability

is what we care about."

"Over the past decade, we have achieved positive unit economics with some

customers, and have the capability for large-scale unmanned operations,"

Wu Gansha said. The next goal is to become the first autonomous driving company

to truly achieve break-even and profitability.

Capital Interaction

Aiming at Global Common Problems

UISEEs IPO cornerstone investors include Xiongan

local state-owned assets, 58 Group, and Star Fortune. "We expect to bring

capital returns to shareholders, and even more look forward to generating more

synergy at the strategic and business levels."

"We believe that Xiongan has the conditions for city-scale large-scale application of

autonomous driving, forming the Xiongan Solution, and building the worlds first

autonomous driving-friendly city, which can then be replicated to other parts

of China and the world. This is a vision we are very optimistic

about," Wu Gansha told reporters. Beyond Xiongan, there are also scenarios

such as airports, ports, factories, and large logistics in Hebei Province,

where more large-scale applications are expected.

58 Group is one of Chinas largest blue-collar

recruitment platforms, providing blue-collar labor to a large number of B-end

customers, a significant portion of which are drivers. "We look forward to

cooperating with them, and in the next

few years, a large number of drivers will become AI drivers, which also

provides a good foundation for cooperation."

In terms of overseas business, Wu Gansha clearly

stated: "This is our top priority." Wu Gansha said that what UISEE

aims to build is "world-class products" that solve "common problems that exist everywhere in

the world" — driving scenarios with long working hours, high labor

intensity, and harsh working environments.

As of the latest practicable date of the

prospectus, UISEE has launched a total of 52 adapted vehicle models, deployed

over 1,000 sets of L4-level autonomous driving vehicles or kits globally, with

cumulative unmanned autonomous driving mileage exceeding 9.2 million

kilometers. Among them, airport scenarios have accumulated over 4.63 million

kilometers of actual operation data, building the worlds largest airport

autonomous driving database, covering over 8,000 long-tail scenarios.

"This year, the company has participated in

important exhibitions in Europe and the Americas, and has successively

established a large number of partners in various industries and regions. In

the next three to five years, the companys overseas revenue will increase

significantly," Wu Gansha revealed, adding that more overseas progress

will be disclosed in due course.

Wu Gansha believes that UISEE itself is a Physical

AI company. He has set an extremely ambitious goal — in the next decade, to

become one of the worlds largest AI driver labor dispatch companies.