China's Growing 'Robotaxi' Fleet Sparks Concern, Wonder on Streets

The photo taken on August 1, 2024 shows a driverless robotaxi autonomous vehicle, developed as part of tech giant Baidu's Apollo Go self-driving project driving along next to a taxi on a street in Wuhan, in central China's Hubei province. (Photo by Pedro PARDO / AFP)
The photo taken on August 1, 2024 shows a driverless robotaxi autonomous vehicle, developed as part of tech giant Baidu's Apollo Go self-driving project driving along next to a taxi on a street in Wuhan, in central China's Hubei province. (Photo by Pedro PARDO / AFP)
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China's Growing 'Robotaxi' Fleet Sparks Concern, Wonder on Streets

The photo taken on August 1, 2024 shows a driverless robotaxi autonomous vehicle, developed as part of tech giant Baidu's Apollo Go self-driving project driving along next to a taxi on a street in Wuhan, in central China's Hubei province. (Photo by Pedro PARDO / AFP)
The photo taken on August 1, 2024 shows a driverless robotaxi autonomous vehicle, developed as part of tech giant Baidu's Apollo Go self-driving project driving along next to a taxi on a street in Wuhan, in central China's Hubei province. (Photo by Pedro PARDO / AFP)

Turning heads as they cruise past office buildings and malls, driverless taxis are slowly spreading through Chinese cities, prompting both wariness and wonder.

China's tech companies and automakers have poured billions of dollars into self-driving technology in recent years in an effort to catch industry leaders in the United States.

Now the central city of Wuhan boasts one of the world's largest networks of self-driving cars, home to a fleet of over 500 taxis that can be hailed on an app just like regular rides.

At one intersection in an industrial area of Wuhan, AFP reporters saw at least five robotaxis passing each other as they navigated regular traffic.

"It looks kind of magical, like a sci-fi movie," a local surnamed Yang told AFP.

But not everyone shares Yang's awe.

Debate around safety was sparked in April when a Huawei-backed Aito car was involved in a fatal accident, with the company saying its automatic braking system failed.

A minor collision between a jaywalker and a Wuhan robotaxi last month re-ignited concerns.

Taxi drivers and workers in traditional ride-hailing companies have also raised fears of being replaced by artificial intelligence -- although the technology is far from fully developed.

- Five to 500 -

Wuhan's driverless cabs are part of tech giant Baidu's Apollo Go project, which first received licenses to operate in the city in 2022.

Initially only five robocars ferried passengers around 13 square kilometers (five square miles) of the city of around 14 million.

Baidu says the taxis now operate in a 3,000 square kilometer patch -- more than a third of the total land area of Wuhan, including a small part of the city center.

In comparison, US leader Waymo says the largest area it covers is 816 square kilometers, in Arizona.

When a car reaches its pickup point, riders scan a QR code with their phones to unlock the vehicle -- with the front seats blocked off over safety concerns.

The fares are currently heavily discounted, with a thirty-minute ride taken by AFP costing just 39 yuan ($5.43) compared with 64 yuan in a normal taxi.

"They are stealing our rice bowls, so of course we don't like them," Wuhan taxi driver Deng Haibing told AFP, using a popular Chinese term for livelihoods.

Deng said he fears robotaxi companies will push traditional drivers out of business with subsidized fares, before raising prices once they achieve domination -- similar to the strategy employed by ride-hailing apps in the 2010s.

"Currently the impact isn't too big because robotaxis aren't fully popularized and can't drive everywhere yet," Deng said.

- 'Simply not ready' -

The robotaxi fleet is a tiny fraction of the tens of thousands of taxis and ride-hailing cars in Wuhan.

More and more Chinese cities are rolling out policies to promote self-driving services though, part of a national push for tech supremacy.

Baidu and domestic rival Pony.ai have for years tested models of varying autonomy levels in industrial parks around the country.

Shanghai issued its first batch of provisional permits for fully driverless cars last month, and the capital Beijing has approved fully autonomous robotaxis in suburban areas.

The southwest city of Chongqing and southern tech hub of Shenzhen also have pilot projects underway.

Technology wise, there's still a long way to go before self-driving taxis become ubiquitous though, according to Tom Nunlist, tech policy analyst at Trivium China.

"Everybody seems to think autonomous driving is inevitable at this point, and frankly, I don't know that it is," he told AFP.

"Presently fully autonomous driving tech is simply not ready for large-scale deployment," he said.

Even in Wuhan's Apollo Go taxis -- which can spot obstacles and wait scrupulously at intersections -- ultimate responsibility for safety still lies with human officers monitoring rides remotely.

During one ride in an Apollo Go car, one manipulated the car's built-in touchscreen to remind AFP reporters to put on their seatbelts.

"Safety personnel provide strong assurances for your ride via remote 5G assistance technology," the Apollo Go app tells users.

Robotaxis are also far from able to replicate the human touch.

"Some customers have disabilities and (driverless cars) definitely wouldn't be able to help them, and some passengers are carrying large items," ride-hailing driver Zhao told AFP.

"Only a human can help."



India Eyes $200B in Data Center Investments as It Ramps Up Its AI Hub Ambitions

FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
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India Eyes $200B in Data Center Investments as It Ramps Up Its AI Hub Ambitions

FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)

India is hoping to garner as much as $200 billion in investments for data centers over the next few years as it scales up its ambitions to become a hub for artificial intelligence, the country’s minister for electronics and information technology said Tuesday.

The investments underscore the reliance of tech titans on India as a key technology and talent base in the global race for AI dominance. For New Delhi, they bring in high-value infrastructure and foreign capital at a scale that can accelerate its digital transformation ambitions.

The push comes as governments worldwide race to harness AI's economic potential while grappling with job disruption, regulation and the growing concentration of computing power in a few rich countries and companies.

“Today, India is being seen as a trusted AI partner to the Global South nations seeking open, affordable and development-focused solutions,” Ashwini Vaishnaw told The Associated Press in an email interview, as New Delhi hosts a major AI Impact Summit this week drawing participation from at least 20 global leaders and a who’s who of the tech industry.

In October, Google announced a $15 billion investment plan in India over the next five years to establish its first artificial intelligence hub in the South Asian country. Microsoft followed two months later with its biggest-ever Asia investment announcement of $17.5 billion to advance India’s cloud and artificial intelligence infrastructure over the next four years.

Amazon too has committed $35 billion investment in India by 2030 to expand its business, specifically targeting AI-driven digitization. The cumulative investments are part of $200 billion in investments that are in the pipeline and New Delhi hopes would flow in.

Vaishnaw said India’s pitch is that artificial intelligence must deliver measurable impacts at scale rather than remain an elite technology.

“A trusted AI ecosystem will attract investment and accelerate adoption,” he said, adding that a central pillar of India’s strategy to capitalize on the use of AI is building infrastructure.

The government recently announced a long-term tax holiday for data centers as it hopes to provide policy certainty and attract global capital.

Vaishnaw said the government has already operationalized a shared computing facility with more than 38,000 graphics processing units, or GPUs, allowing startups, researchers and public institutions to access high-end computing without heavy upfront costs.

“AI must not become exclusive. It must remain widely accessible,” he said.

Alongside the infrastructure drive, India is backing the development of sovereign foundational AI models trained on Indian languages and local contexts. Some of these models meet global benchmarks and in certain tasks rival widely used large language models, Vaishnaw said.

India is also seeking a larger role in shaping how AI is built and deployed globally as the country doesn’t see itself strictly as a “rule maker or rule taker,” according to Vaishnaw, but an active participant in setting practical, workable norms while expanding its AI services footprint worldwide.

“India will become a major provider of AI services in the near future,” he said, describing a strategy that is “self-reliant yet globally integrated” across applications, models, chips, infrastructure and energy.

Investor confidence is another focus area for New Delhi as global tech funding becomes more cautious.

Vaishnaw said the technology’s push is backed by execution, pointing to the Indian government's AI Mission program which emphasizes sector specific solutions through public-private partnerships.

The government is also betting on reskilling its workforce as global concerns grow that AI could disrupt white collar and technology jobs. New Delhi is scaling AI education across universities, skilling programs and online platforms to build a large AI-ready talent pool, the minister said.

Widespread 5G connectivity across the country and a young, tech-savvy population are expected to help with the adoption of AI at a faster pace, he added.

Balancing innovation with safeguards remains a challenge though, as AI expands into sensitive sectors such as governance, health care and finance.

Vaishnaw outlined a fourfold strategy that includes implementable global frameworks, trusted AI infrastructure, regulation of harmful misinformation and stronger human and technical capacity to hedge the impact.

“The future of AI should be inclusive, distributed and development-focused,” he said.


Report: SpaceX Competing to Produce Autonomous Drone Tech for Pentagon 

The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
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Report: SpaceX Competing to Produce Autonomous Drone Tech for Pentagon 

The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)

Elon Musk's SpaceX and its wholly-owned subsidiary xAI are competing in a secret new Pentagon contest to produce voice-controlled, autonomous drone swarming technology, Bloomberg News reported on Monday, citing people familiar with the matter.

SpaceX, xAI and the Pentagon's defense innovation unit did not immediately respond to requests for comment. Reuters could not independently verify the report.

Texas-based SpaceX recently acquired xAI in a deal that combined Musk's major space and defense contractor with the billionaire entrepreneur's artificial intelligence startup. It occurred ahead of SpaceX's planned initial public offering this year.

Musk's companies are reportedly among a select few chosen to participate in the $100 million prize challenge initiated in January, according to the Bloomberg report.

The six-month competition aims to produce advanced swarming technology that can translate voice commands into digital instructions and run multiple drones, the report said.

Musk was among a group of AI and robotics researchers who wrote an open letter in 2015 that advocated a global ban on “offensive autonomous weapons,” arguing against making “new tools for killing people.”

The US also has been seeking safe and cost-effective ways to neutralize drones, particularly around airports and large sporting events - a concern that has become more urgent ahead of the FIFA World Cup and America250 anniversary celebrations this summer.

The US military, along with its allies, is now racing to deploy the so-called “loyal wingman” drones, an AI-powered aircraft designed to integrate with manned aircraft and anti-drone systems to neutralize enemy drones.

In June 2025, US President Donald Trump issued the Executive Order (EO) “Unleashing American Drone Dominance” which accelerated the development and commercialization of drone and AI technologies.


SVC Develops AI Intelligence Platform to Strengthen Private Capital Ecosystem

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
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SVC Develops AI Intelligence Platform to Strengthen Private Capital Ecosystem

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA

Saudi Venture Capital Company (SVC) announced the launch of its proprietary intelligence platform, Aian, developed in-house using Saudi national expertise to enhance its institutional role in developing the Kingdom’s private capital ecosystem and supporting its mandate as a market maker guided by data-driven growth principles.

According to a press release issued by the SVC today, Aian is a custom-built AI-powered market intelligence capability that transforms SVC’s accumulated institutional expertise and detailed private market data into structured, actionable insights on market dynamics, sector evolution, and capital formation. The platform converts institutional memory into compounding intelligence, enabling decisions that integrate both current market signals and long-term historical trends, SPA reported.

Deputy CEO and Chief Investment Officer Nora Alsarhan stated that as Saudi Arabia’s private capital market expands, clarity, transparency, and data integrity become as critical as capital itself. She noted that Aian represents a new layer of national market infrastructure, strengthening institutional confidence, enabling evidence-based decision-making, and supporting sustainable growth.

By transforming data into actionable intelligence, she said, the platform reinforces the Kingdom’s position as a leading regional private capital hub under Vision 2030.

She added that market making extends beyond capital deployment to shaping the conditions under which capital flows efficiently, emphasizing that the next phase of market development will be driven by intelligence and analytical insight alongside investment.

Through Aian, SVC is building the knowledge backbone of Saudi Arabia’s private capital ecosystem, enabling clearer visibility, greater precision in decision-making, and capital formation guided by insight rather than assumption.

Chief Strategy Officer Athary Almubarak said that in private capital markets, access to reliable insight increasingly represents the primary constraint, particularly in emerging and fast-scaling markets where disclosures vary and institutional knowledge is fragmented.

She explained that for development-focused investment institutions, inconsistent data presents a structural challenge that directly impacts capital allocation efficiency and the ability to crowd in private investment at scale.

She noted that SVC was established to address such market frictions and that, as a government-backed investor with an explicit market-making mandate, its role extends beyond financing to building the enabling environment in which private capital can grow sustainably.

By integrating SVC’s proprietary portfolio data with selected external market sources, Aian enables continuous consolidation and validation of market activity, producing a dynamic representation of capital deployment over time rather than relying solely on static reporting.

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights, enabling SVC to identify priority market gaps, recalibrate capital allocation, design targeted ecosystem interventions, and anchor policy dialogue in evidence.

The release added that Aian also features predictive analytics capabilities that anticipate upcoming funding activity, including projected investment rounds and estimated ticket sizes. In addition, it incorporates institutional benchmarking tools that enable structured comparisons across peers, sectors, and interventions, supporting more precise, data-driven ecosystem development.