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WeRide CEO pitches robotaxi safety as shares start trading in HK

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Shares of WeRide start trading on Hong Kong’s stock exchange today, just over a year after the robotaxi firm forayed into U.S. markets with a Nasdaq listing. For CEO and founder Tony Han, the offering is part of a global strategy to fund the expensive but necessary research behind the company’s autonomous-driving tech.

WeRide’s shares are now listed on both the Nasdaq and the Hong Kong Stock Exchange. WeRide elected for a dual primary listing, which will allow mainland Chinese investors to buy the stock through the city’s Southbound Stock Connect scheme.

“We want to make our stock more accessible to investors all over the world,” Han told Fortune in late October, on the sidelines of the Fortune Global Forum. “China is a very important market, both for consumers and also for investors. A Hong Kong dual listing actually helps some potential investors who can only invest in the Hong Kong stock market to buy our stock.”

Han says the funds raised through the Hong Kong listing will help the robotaxi firm continue to spend on R&D and deployment. “We will still need to raise more funds,” he said, “so this will put WeRide in a much better position to access more funds.”

Fellow robotaxi firm Pony AI also starts trading in Hong Kong today after its own IPO on that exchange. Like WeRide, Pony AI listed on the Nasdaq late last year.

Hong Kong’s IPO market is booming as Chinese firms hope to leverage the city’s access to both international and mainland Chinese capital. Firms listed in mainland China, including home appliance manufacturer Midea and battery-maker CATL, have launched secondary listings in Hong Kong in order to draw international investment. 

Yet several U.S.-listed Chinese companies are also considering primary listings in Hong Kong in order to access mainland Chinese investors. There’s also a geopolitical dimension: U.S.-listed Chinese firms may see Hong Kong as a backup in the event the Trump administration decides to delist them from U.S. exchanges, as part of a years-long dispute between Washington and Beijing over auditing standards.

The city’s Southbound Stock Connect scheme allows certified investors in mainland China to buy stocks listed in Hong Kong. Southbound flows hit a record $110 billion in the first seven months of the year, according to the South China Morning Post citing data from Wind, already greater than the entire total in 2024. 

Investors are flocking to AI firms and “new consumption”—think Pop Mart and Labubu. Hong Kong’s benchmark Hang Seng Index is up around 32% for the year so far; by comparison, the Nasdaq Golden Dragon index, which tracks U.S.-listed Chinese companies, is up 22%.

WeRide raised $308 million in its Hong Kong IPO, Bloomberg reported Tuesday. Shares were priced at 27.10 Hong Kong dollars, a slight discount to the stock’s Nasdaq price at Monday’s close.

WeRide HK-listed shares fell almost 12% on their first day of Hong Kong trading; the firm’s shares have lost over 40% of their value since the U.S. IPO. Pony AI’s HK shares fell around 14%.

Self-driving cars: A social good?

Tony Han, formerly the chief scientist at Baidu’s autonomous vehicle unit, founded WeRide in 2017. Based in Guangzhou, the self-driving vehicle company operates in several major Chinese cities, as well as markets outside of China. The company has pilot programs in Singapore, France, Spain, Saudi Arabia and the United Arab Emirates, among others. As of November, WeRide is now testing or operating vehicles in 30 cities across 10 countries. 

WeRide is a member of this year’s Future 50, Fortune’s annual ranking of companies with the greatest potential for growth. The firm is also a member of this year’s Change the World list, which highlights companies that are doing social good through their business models.

Han evangelizes the many ways that self-driving vehicles—and moving away from a car-centric culture—can improve society. He predicts that accident rates will be “drastically reduced” once cars are put in the hands of computers as opposed to humans.

Renault and WeRide’s autonomous Robo Minibus undergoing test, runs in Barcelona on February 14, 2025.

Josep Lago—AFP via Getty Images

“Most accidents, we find, are due to human factors,” Han explained, citing the effects of drinking, drowsiness, and distractions on human drivers. “Machines won’t be drunk, won’t overdose. Machines are very reliable. Fatal accident rates for robotaxis are much lower than human drivers.”

Less congestion could be another benefit of automated vehicles. “Robotaxis will never speed, will never just cut in line,” he said. “Traffic will just flow much more smoothly.”

There’s a broader economic argument for self-driving cars in countries whose populations are rapidly aging as birth rates decline—a particularly thorny problem in China and elsewhere in Asia. “With such huge markets, we will need lots of labor in transport and mobility,” Han said. “If we are short-handed, then we have to use AI to replace the shortage, to fill the gap between demand and requirements.”

That extends to public transport and public services. WeRide runs robobuses, robosweepers, and other automated forms of public transit and city vehicles. “The cost of bus drivers in a developed economy is quite high,” Han explained. If these costs can be reduced through automation, he argued, then cities can expand their transit systems and “help build more eco-friendly transportation for the whole planet.”

The robotaxi business

WeRide reported $27.9 million in revenue for the first six months of 2025, a 32% jump from the same period a year earlier. Still, the company reported a $110 million net loss for that same period, due in large part to spending of $90 million on research and development, approaching the $107 million spent on R&D for all of 2024. 

Robotaxis remain an expensive and unprofitable proposition. An HSBC report in July pointed out that self-driving cars have a lot of hidden costs, including remote supervisors, charging and parking infrastructure, and tech support. The bank suggested that robotaxis might not break even until about eight years after launch.

Yet HSBC also predicted that robotaxis will likely reach their commercial potential in China first, due to greater adoption and acceptance of robotaxi technologies. 

Chinese companies are leading the global push for robotaxis. In addition to WeRide and Pony AI, Baidu is also expanding its robotaxi offerings through its Apollo Go vehicles.

China also manufactures many of the components that go into self-driving cars. One key component producer is Hesai Technology, the world’s leading producer of automotive lidar sensors, which are used by robotaxis and other autonomous vehicles to recognize their environment and avoid obstacles. 

Global ride-share companies are taking notice. WeRide is offering its Middle Eastern robotaxis through a partnership with Uber. Singaporean ride-hailing firm Grab has also made a strategic equity investment in WeRide, and is working with the Chinese firm to offer robobuses in Singapore starting next year.

Singaporean transit company ComfortDelGro, meanwhile, is working with Pony AI to explore offering robotaxis, while Lyft is collaborating with Baidu to test its Apollo Go self-driving cars in Europe.

By comparison, U.S.-based robotaxi operations are proving to be a lot slower in global expansion. Waymo currently operates in Tokyo and London

Han isn’t surprised that global firms are now embracing Chinese robotaxis. After all, if China offers the best product, why wouldn’t foreign firms want to cooperate with it?

“When I was a teenager, we bought electronics from Japan, tools from Germany and computers from the U.S. It’s very normal. It’s very normal,” Han said.

“If WeRide can supply good robotaxi technology and services to Uber, and in turn, Uber and WeRide together bring a very efficient and comfortable taxi service to ordinary people; why shouldn’t we do that?”

Fortune is hosting the Fortune Innovation Forum in Kuala Lumpur, Malaysia from Nov. 17-18. Join business leaders and policymakers as they discuss opportunities and strategies for a world marked by AI, protectionism, and geopolitical tensions. Register here!



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Jensen Huang says AI bubble fears are dwarfed by ‘largest infrastructure buildout in human history’

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Pushing back against growing skepticism regarding the sustainability of artificial intelligence spending, Nvidia CEO Jensen Huang argued against the mountain backdrop of Davos, Switzerland, that high capital expenditures are not a sign of a financial bubble, but rather evidence of “the largest infrastructure buildout in human history.”

Speaking in conversation with BlackRock CEO Larry Fink, the interim co-chair of the World Economic Forum, Huang detailed an industrial transformation that extends far beyond software code, reshaping global labor markets and driving unprecedented demand for skilled tradespeople. While much of the public debate focuses on the potential for AI to replace white-collar jobs, Huang pointed to an immediate boom in blue-collar employment required to physically construct the new computing economy.

“It’s wonderful that the jobs are related to tradecraft, and we’re going to have plumbers and electricians and construction and steel workers,” Huang said. He noted the urgency to erect “AI factories,” chip plants, and data centers has radically altered the wage landscape for manual labor. “Salaries have gone up, nearly doubled, and so we’re talking about six-figure salaries for people who are building chip factories or computer factories,” Huang said, emphasizing the industry is currently facing a “great shortage” of these workers.

Ford CEO Jim Farley has been warning for months about the labor shortage in what he calls the “essential economy,” exactly the type of jobs mentioned by Huang in Davos. Earlier this month, Farley told Fortune these 95 million jobs are the “backbone of our country,” and he was partnering with local retailer Carhartt to boost workforce development, community building, and “the tools required by the men and women who keep the American Dream alive.” 

It’s time we all reinvest in the people who make our world work with their hands,” Farley said.

In October, at Ford’s Pro Accelerate conference, Farley shared that his own son was wrestling with whether to go to college or pursue a career in the trades. The Ford CEO has estimated the shortage at 600,000 in factories and nearly the same in construction.

Huang dismisses bubble fears

Fink brought up the bubble talk for a good reason: Fear of a popping bubble gripped markets for much of the back half of 2025, with luminaries such as Amazon founder Jeff Bezos, Goldman Sachs CEO David Solomon, and, just the previous day in Davos, Microsoft CEO Satya Nadella, warning about the potential for pain. Much of this originated in the underwhelming release of OpenAI’s GPT-5 in August, but also the MIT study that found 95% of generative AI pilots were failing to generate a return on investment. “Permabears” such as Albert Edwards, global strategist at Société Générale, have talked about how there’s likely a bubble brewing—but then again, they always think that.

Huang, whose company became the face of the AI revolution when it blew past $4 trillion in market capitalization (a bar recently reached by Alphabet on the positive release of its Gemini update), tackled these fears in conversation with Fink, arguing the term misdiagnoses the situation. Critics often point to the massive sums being spent by hyperscalers and corporations as unsustainable, but Huang countered the appearance of a bubble happens because “the investments are large … and the investments are large because we have to build the infrastructure necessary for all of the layers of AI above it.”

Huang went deeper on his food metaphor, describing the AI industry as a “five-layer cake” requiring total industrial reinvention, with Nvidia’s chips a particularly crunchy part of the recipe. The bottom layer is energy, followed by chips, cloud infrastructure, and models, with applications sitting at the top. The current wave of spending is focused on the foundational layers—energy and chips—which creates tangible assets rather than speculative vapor. Far from a bubble, he described a new industry being built from the ground up.

“There are trillions of dollars of infrastructure that needs to be built out,” Huang said, noting that the world is currently only “a few 100 billion dollars into it.”

To prove the market is driven by real demand rather than speculation, Huang offered a practical “test” for the bubble theory: the rental price of computing power as seen in the price of Nvidia’s GPU chips.

“If you try to rent an Nvidia GPU these days, it’s so incredibly hard, and the spot price of GPU rentals is going up, not just the latest generation, but two-generation-old GPUs,” he said. This scarcity indicates established companies are shifting their research and development budgets—such as pharmaceutical giant Eli Lilly moving funds from wet labs to AI supercomputing—rather than simply burning venture capital.

Beyond construction and infrastructure, Huang addressed the broader anxiety regarding AI’s impact on human employment. He argued AI ultimately changes the “task” of a job rather than eliminating the “purpose” of the job. Citing radiology as an example, he noted that despite AI diffusing into every aspect of the field over the last decade, the number of radiologists has actually increased. Because AI handles the task of studying scans infinitely faster, doctors can focus on their core purpose: patient diagnosis and care, leading to higher hospital throughput and increased hiring.

Fink reframed the issue, based on Huang’s pushback. “So what I’m hearing is, we’re far from an AI bubble. The question is, are we investing enough?” Fink asked, positing that current spending levels might actually be insufficient to broaden the global economy.

Huang appeared to say: not really. “I think the the opportunity is really quite extraordinary, and everybody ought to get involved. Everybody ought to get engaged. We need more energy,” he said, adding the industry needs more land, power, trade, scale and workers. Huang said the U.S. has lost its workforce population in many ways over the last 20-30 years, “but it’s still incredibly strong,” and in Europe, pointing around him in Switzerland, he saw “an extraordinary opportunity to take advantage of.” He noted 2025 was the largest investment year in venture capital history, with $100 billion invested around the world, mostly on AI natives.”

Huang concluded by emphasizing this infrastructure buildout is global, urging developing nations and Europe to engage in “sovereign AI” by building their own domestic infrastructure. For Europe specifically, he highlighted a “once-in-a-generation opportunity” to leverage its strong industrial base to lead in “physical AI” and robotics, effectively merging the new digital intelligence with traditional manufacturing. Far from a bubble, he seemed to be saying, this is just the beginning.



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Nearly 400 millionaires and billionaires are demanding Davos leaders to tax them more: ‘Tax us. Tax the super rich.’

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While the wealthiest business leaders from U.S. president Donald Trump to Nvidia CEO Jensen Huang touch down in the Swiss town of Davos to discuss the state of the world, a cohort of the ultra-rich are already sounding the alarm. Hundreds of millionaires and billionaires released an open letter in time for the World Economic Forum, calling on leaders attending the conference to fight raging wealth inequality with taxes. 

“Millionaires like us refuse to be silent. It is time to be counted. Tax us and make sure the next fifty years meet the promise of progress for everyone,” the letter stated

“Extreme wealth has led to extreme control for those who gamble with our safe future for their obscene gains. Now is the time to end that control and win back our future.”

So far, nearly 400 millionaires and billionaires across 24 countries have signed the letter condemning extreme wealth, including the likes of Hollywood actor Mark Ruffalo, Disney heirs Abby and Tim Disney, and real estate developer Jeffrey Gural.

The open letter is part of a “Time to Win” campaign, led by wealth redistribution organizations including Patriotic Millionaires, Millionaires for Humanity, and Oxfam. It criticized global oligarchs with riches who have “bought up” democracies, exacerbated poverty, stifled tech innovation, dampened press freedom, and overall, “accelerated the breakdown of our planet.” After all, 77% of millionaires from G20 nations think extremely wealthy individuals buy political influence, and 71% believe those with riches can significantly influence elections, according to a poll conducted for Patriotic Millionaires.

The Time to Win wealthy signatories offer a simple solution: “Tax us. Tax the super rich.”

“As millionaires who stand shoulder to shoulder with all people, we demand it,” the open letter continued. “And as our elected representatives—whether it’s those of you at Davos, local councillors, city mayors, or regional leaders—it’s your duty to deliver it.

Stars and billionaires are calling out the super-rich for being ungenerous 

As the world mints hundreds of thousands of millionaires yearly and billionaire wealth soars to record highs, some leaders can’t stand to stay quiet. Celebrities and the ultra-rich haven’t just sent a message to money-hoarders with the Time to Win letter—some have even called out billionaires in person, questioning their existence. 

“If you’re a billionaire, why are you a billionaire? No hate, but yeah, give your money away, shorties,” Eilish said onstage last year at the WSJ Magazine Innovator Awards with Meta mogul Mark Zuckerberg, worth $214 billion, in attendance. 

Even the most philanthropic members of the ultra-rich club are wary of their peers’ lack of charity. Billionaires have started their own initiatives like Warren Buffett, Melinda French Gates, and Bill Gates’ The Giving Pledge, which attracted more than 250 billionaires who pledged to donate at least half of their wealth during their lifetimes, or in their wills. But efforts have largely fallen short. Last year, French Gates admitted that the signatories haven’t given enough; And in a letter to shareholders, Buffett fessed up to the fact that billionaires aren’t following through. 

“Early on, I contemplated various grand philanthropic plans. Though I was stubborn, these did not prove feasible,” Buffett wrote. “During my many years, I’ve also watched ill-conceived wealth transfers by political hacks, dynastic choices, and, yes, inept or quirky philanthropists.”

Billionaire and millionaire wealth is on the rise 

There’s more people rolling in riches than ever before, and it’s fueling an equity crisis at the bottom of the economic ladder. 

In 2024 alone, the U.S. minted 379,000 new millionaires—over 1,000 millionaires every day—as the proportion of Americans in the ultrawealthy club swelled by 1.5%, according to a 2025 report from investment bank UBS. This cohort held about $107 trillion in total wealth at the end of that year: more than four times the amount they owned at the turn of the millennium. 

In 2000, there were only 13.27 million everyday millionaires, but by the end of 2024, the group swelled to 52 million people worldwide. 

While it might appear that eye-watering riches are spreading out to a larger number of individuals, it’s mainly concentrating at the top. America’s top 20% household earners—averaging a net worth of $4.3 million—accounted for about 71% of the U.S.’s total wealth at the end of 2024, according to 2025 data from the Federal Reserve. 

Meanwhile, the bottom half of American households, averaging about $60,000 in wealth, owned just 2.5% of the country’s wealth. For the vast majority of U.S. citizens, joining the millionaire club—and even more so, the billionaire club—is a total pipe dream.



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Trump fast tracks ‘three-week’ nuclear approval for big tech to fuel AI race

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President Donald Trump offered Silicon Valley an extraordinary deal on Wednesday: Build your own nuclear power plants to fuel AI, and his administration will approve them in just three weeks.

Speaking at the World Economic Forum in Davos, Switzerland, Trump addressed a room of tech executives struggling with an aging U.S. electrical grid.

“I came up with the idea,” Trump said. “You people are brilliant. You have a lot of money. You can build your own electric generating plants.”

Trump talked for about 10 minutes about energy in his speech, making it clear Trump views a straining electric grid as a central economic risk of 2026. As artificial intelligence pushes electricity demand to record highs, the administration is framing power shortages as an existential threat to growth and national security. Slashing approval timelines, Trump argued, is a necessary response to an energy system he said he believes is fundamentally unprepared for the AI era.

“We needed more than double the energy currently in the country just to take care of the AI plants,” Trump said. 

The proposal marks a radical departure from the traditional Nuclear Regulatory Commission (NRC) process, which historically requires four to five years for environmental and design approvals as well as rigorous site selection. Trump claimed that while tech leaders initially “didn’t believe him,” he assured them the government would deliver approvals for oil and gas plants in just two weeks, with nuclear projects following in three.

Trump said he wasn’t “a big fan” of nuclear power before, but now sees it as a newly viable solution due to safety improvements. 

“The progress they’ve made with nuclear is unbelievable,” he said. “We’re very much into the world of nuclear energy, and we can have it now at good prices and very, very safe.” 

While the potential upcoming wave of small modular nuclear reactors (SMR) could receive regulatory approvals in less than two years, there is little basis for going through an approval process with the Nuclear Regulatory Commission in closer to three weeks, and such an expedited process would trigger widespread concerns about safety and environmental risks.

Trump also touted a new energy alliance with Venezuela, noting the U.S. secured 50 million barrels of oil last week following the “end of an attack” on the nation that led to the deposition of President Nicolás Maduro. He said the new cooperation between the two nations would make Venezuela “fantastically well” while driving U.S. gasoline prices toward $2.00 a gallon.

Gasoline prices are the main inflationary measure by which costs have fallen during the first year of the new Trump administration. But they’re nowhere close to $2.00 per gallon. The national average for a gallon of regular unleaded is $2.76 per gallon this week, down 32 cents from a year ago, primarily because of rising OPEC oil production.

But Trump drew a sharp contrast with Europe’s energy landscape. Trump mocked the “Green New Scam,” citing a 64% spike in German electricity prices and the “catastrophic” decline of energy production in the United Kingdom. He targeted the North Sea and the proliferation of wind farms, which he labeled “losers” that “kill the birds.”

“Stupid people buy” wind farms, Trump laughed.



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