Rise of the Robots: The Promise of Physical AI 

This picture taken on November 5, 2025 shows Hiro Yamamoto, CEO of company Enactic, tele-operating an OpenArm humanoid robotic arm at his office during an interview with AFP, in Tokyo. (AFP)
This picture taken on November 5, 2025 shows Hiro Yamamoto, CEO of company Enactic, tele-operating an OpenArm humanoid robotic arm at his office during an interview with AFP, in Tokyo. (AFP)
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Rise of the Robots: The Promise of Physical AI 

This picture taken on November 5, 2025 shows Hiro Yamamoto, CEO of company Enactic, tele-operating an OpenArm humanoid robotic arm at his office during an interview with AFP, in Tokyo. (AFP)
This picture taken on November 5, 2025 shows Hiro Yamamoto, CEO of company Enactic, tele-operating an OpenArm humanoid robotic arm at his office during an interview with AFP, in Tokyo. (AFP)

A pair of swiveling, human-like robotic arms, built for physical artificial intelligence research, mirror the motions of an operator in a VR headset twirling his hands like a magician.

With enough practice, arms like these can complete everyday tasks alone, claims Tokyo company Enactic, which is developing humanoid robots to wash dishes and do laundry in short-staffed Japanese care homes.

Welcome to the future of AI as it starts to infiltrate the material world in the form of smart robots, self-driving cars and other autonomous machines.

"The next wave of AI is physical AI," Jensen Huang, head of US chip giant Nvidia, said last year.

That's "AI that understands the laws of physics, AI that can work among us" and understands "how to perceive the world", Huang added.

Tech firms are pouring massive sums into physical AI, and Morgan Stanley predicts the world could have more than a billion humanoid robots by 2050.

The buzz is only heightened by videos showing advanced androids, often Chinese-made, dancing to Taylor Swift or pulling heavy objects with ease.

Beyond the promise of sci-fi robot butlers, the race has sparked concern over job losses, privacy and how long these innovations will take to actually be useful.

Hiro Yamamoto is the 24-year-old CEO of Enactic, whose OpenArm physical AI training devices are used by Nvidia and at top universities such as Stanford.

He plans to begin deploying new robots, currently under development, from next summer to "live alongside people in environments that are very chaotic, and where conditions are always changing" like care homes.

"So it has to be safe," with a soft exterior that won't injure anyone, Yamamoto said.

In the Chinese city of Guangzhou, a female figure with a glowing oval-shaped visor for a face, clad in white woven fabric like a fencing athlete, walked slowly across a stage last week to cheers and whispers.

It was the latest humanoid robot to be unveiled by Chinese electric vehicle maker XPeng, which is also pushing into physical AI.

Nimble machines made by US companies, such as Boston Dynamics' dog-like robots, have grabbed headlines over the years.

But government support and strong domestic supply chains are helping Chinese rivals, also including Unitree Robotics and EngineAI, race ahead.

"I haven't given much thought to how many robots we will sell annually in 10 years' time, but I think it would be more than cars," XPeng CEO He Xiaopeng told reporters.

XPeng's robots walk and even dance autonomously -- but how well they handle objects, a more complicated feat, has not been widely demonstrated.

Their dexterous fingers and flexible skin are unlikely to replace workers on China's factory floors soon, he said.

The cost of one robot hand, which needs to be replaced regularly for heavy-duty work, could pay a Chinese worker's salary for years.

But with enough data and training, AI humanoid robots could one day perform "almost any human role", from nanny to home chef or gardener, XPeng co-president Brian Gu told AFP.

Text-based AI tools like ChatGPT are trained on huge volumes of words, but physical AI models must also grapple with vision and the spatial relationship between objects.

For now, remotely operating AI robots to teach them how to do something like picking up a cup "is by far the most reliable way to collect data", Yamamoto said.

Just 30 to 50 demonstrations of each task are needed to fine-tune "vision-language-action" AI models, he added.

Enactic has approached several dozen care facilities in Japan to propose that its teleoperated robots take over menial tasks, so qualified care workers have more time to look after elderly residents.

This on-the-job experience will train physical AI models so the robots can act autonomously in future, Yamamoto said.

US-Norwegian startup 1X is taking a similar approach for its humanoid home helper NEO, which it will deliver to American homes from next year.

NEO costs $20,000 to buy, but so far, its performance is shaky, with one video in US media showing the robot struggling to close a dishwasher door, even when teleoperated.

In another embarrassing moment, a Russian humanoid robot, said to be the country's first, staggered then fell flat on its face as it made its debut on stage earlier this week.

There is currently a "big gap" between robots' AI systems and their physical abilities, which lag behind, said Sara Adela Abad Guaman, assistant professor in robotics at University College London.

"Nature has shown us that in order to adapt to the environment, you need to have the right body," Abad told AFP, giving the example of a mountain goat that stumbles on ice.

Nevertheless, big deals are being struck, even as booming investment in artificial intelligence feeds fears of a stock market bubble.

Japan's SoftBank recently called physical AI its "next frontier" as it said it was buying industrial robot maker ABB Robotics for $5.4 billion.

Automation raises questions about the future of human labor, but Abad is not too worried.

At the end of the day, "our sense of touch is incomparable", she said.



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.