If you are building a startup in Hong Kong, your first source of support may be closer than you think.
Updated
May 7, 2026 1:16 PM

Main Building of the University of Hong Kong. PHOTO: ADOBE STOCK
Across Hong Kong’s public universities, entrepreneurship is now part of the campus ecosystem. Many universities offer startup funding, mentorship, training, workspace, investor access and pathways into larger incubation programmes such as Hong Kong Science and Technology Park (HKSTP) and Cyberport.
For student founders, researchers and alumni, this can be a useful place to begin. You may be able to test an idea, build a prototype, form a company or apply for early funding through your own university before looking for external investors.
The challenge is knowing where to start. Each university has its own startup programmes, eligibility rules and funding structure. Some are designed for student ideas. Others are built for research commercialization, deep tech ventures or startups already preparing to raise investment. Below is a practical guide to startup support and university startup funding at five major publicly funded universities in Hong Kong.

HKU offers a wide range of entrepreneurship support through HKU Techno-Entrepreneurship Core, also known as HKU TEC. Its programmes cover early ideas, deep tech projects, Greater Bay Area (GBA) expansion, research commercialization and investor matching.
HKU is especially relevant for founders working with university research, intellectual property or technology-led business ideas. It also has entry-level support for students and graduates who are still testing an idea.
Best fit: HKU works well for student founders, researchers and alumni who want a structured route from idea stage to technology commercialization.

CityUHK’s main startup platform is HK Tech 300. It is one of the clearest university startup pathways in Hong Kong because it is built in stages: training, seed funding, angel investment and access to external funding.
The programme is open to CityUHK students, alumni, research staff and members of the public using CityUHK intellectual property or technology.
Best fit: CityUHK is a strong choice for founders who want a step-by-step startup journey with clear funding stages.

HKUST has a broad startup ecosystem with support for students, alumni, researchers and faculty. Its entrepreneurship pathway covers idea exploration, prototyping, MVP testing, research commercialization and investment.
The university’s startup support is especially strong for technology companies, deep tech projects and teams commercialising HKUST research.
Best fit: HKUST is especially useful for tech startups, deep tech teams and founders who need a route from prototype to commercialization.

PolyU’s startup support is practical and product-focused. Its programmes cover early ideas, seed-stage teams, Greater Bay Area expansion, translational research and investment.
This makes PolyU a good fit for founders working on engineering, hardware, applied technology, social impact or commercialization of university research.
Best fit: PolyU is well suited for product-led startups, applied technology projects, GBA expansion and founders who want industry-facing support.

CUHK offers support for student founders, researchers and alumni through the Pi Centre and the Knowledge Transfer Office. Its ecosystem covers pre-incubation, TSSSU funding, early translational research, social impact projects and Greater Bay Area entrepreneurship.
CUHK is especially useful for students who want to start with an idea and later move into funding, mentorship or external incubation.
Best fit: CUHK is a good starting point for student founders who need pre-incubation support, and for researchers moving early-stage ideas toward commercial use.
There is no single best programme for every founder. The right choice depends on your stage, your university connection and the type of startup you are building.
Hong Kong’s university startup ecosystem is bigger than many founders realize. If you are a student, alumnus, researcher or university-linked founder, your campus may already offer a route into funding, mentorship, workspace and incubation.
The key is to choose a programme that matches your current stage. Some founders should start with idea validation. Others may be ready for seed funding, TSSSU support or investment.
Before applying, check the latest deadline and eligibility rules on the official university page. These programmes change often, and some funding rounds open only once or twice a year.
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A global survey shows robot anxiety drops when people encounter robots in real life
Updated
April 1, 2026 8:55 AM

Ameca the humanoid robot, featuring a grey rubber face. PHOTO: ADOBE STOCK
People often assume robots make people uneasy everywhere. But a new global study suggests something more nuanced. Robot anxiety tends to be highest in places where people rarely see robots in real life. Where robots are more visible, attitudes are often far more positive. That insight comes from a global study by Hexagon AB, which surveyed 18,000 participants across nine major markets. The research explored how adults and children think about robots and how those views change depending on everyday exposure.
In the United Kingdom, anxiety about robots is the highest among the countries studied. Around 52% of adults say they feel worried that something might go wrong when they think about interacting with or working alongside robots. South Korea sits at the other end of the spectrum, with only 29% reporting similar concerns. One factor appears to explain much of the gap: familiarity.
British adults are among the least likely to have encountered robots in real life. Only about 30% say they have seen or used one. In contrast, countries where robots are more visible tend to report greater comfort. China offers the clearest example. Around 75% of adults there say they have seen or interacted with robots. At the same time, 81% say they feel excited about the technology’s future potential.
The study suggests that attitudes toward robots are not fixed. Instead, they shift depending on where people encounter them and what tasks they perform. When robots are seen solving clear, practical problems, confidence tends to rise.
Across the surveyed countries, adults report the highest comfort levels with robots working in factories and warehouses. Around 63% say they are comfortable with robots in those environments. These are settings where tasks are clearly defined and safety standards are well understood. Acceptance drops in more personal spaces. Only 46% say they feel comfortable with robots in the home, while comfort falls further to 39% when robots are imagined in classrooms.
In other words, context matters. People appear more willing to accept robots when they take on physically demanding or dangerous work. Half of the respondents say improved safety is one of the main advantages of robotics in those environments. A similar share point to productivity gains as another benefit. Another finding challenges a common assumption about public fears. Job loss is often described as the biggest concern surrounding robotics. But the study suggests security risk worries people more.
Around 51% of adults say their biggest concern about robots at work is the possibility that the machines could be hacked or misused. That fear outweighs worries about physical malfunction or injury, which stand at 41%. Concerns about being replaced at work appear at the same level.
For many respondents, the issue is not simply whether robots can perform tasks. It is whether the systems controlling them are secure. According to researchers involved in the study, these concerns reflect how people evaluate emerging technologies. Instead of having a single opinion about robotics, people tend to judge each situation individually.
A robot helping assemble products in a factory may feel acceptable. The same technology operating in more sensitive environments can raise different questions. Dr. Jim Everett, an associate professor in moral psychology, says trust in artificial intelligence and robotics is often misunderstood. People are not simply asking whether they trust the technology, he notes. They are thinking about specific tools performing specific roles.
A robot assisting in a classroom or helping in healthcare carries different expectations than an AI system used in defense or surveillance. Even though these technologies are often grouped together in public debates, people evaluate them differently depending on their purpose.
Finally, the study also highlights another important factor shaping public attitudes: experience. When people actually encounter robots, fear often declines. Michael Szollosy, a robotics researcher involved in the project, says reactions tend to change quickly when individuals meet a robot for the first time.
The idea of an autonomous machine can feel intimidating in theory. But when people see a small service robot or an industrial machine performing a straightforward task, the reaction is often much calmer. Exposure can shift perceptions from abstract fears to practical understanding.
That shift matters because robotics is moving steadily into everyday environments. From manufacturing and logistics to healthcare and public services, machines capable of autonomous or semi-autonomous work are becoming more common.
As that happens, the study suggests public confidence may depend less on technical breakthroughs and more on visibility and transparency. Burkhard Boeckem, chief technology officer at Hexagon AB, argues that trust grows when people understand what robots are designed to do and where their limits lie.
Anxiety tends to increase when systems feel invisible or poorly understood. Clear boundaries and clear explanations can have the opposite effect. When people see robots working safely alongside humans, performing well-defined tasks and operating within clear rules, the technology becomes easier to accept.
In that sense, the future of robotics may depend as much on public familiarity as on engineering. The machines themselves are advancing quickly. But the relationship between humans and robots is still being negotiated. For now, the study offers a simple insight: the more people encounter robots in everyday life, the less mysterious they become. And once the mystery fades, the conversation often changes from fear to curiosity.