Apple Aims to Tell an AI Story Without AI Bills

FILED - 01 May 2023, Hamburg: The logo of the US technology company Apple can be seen at night at the Apple Store Jungfernstieg in the city center. Photo: Christian Charisius/dpa
FILED - 01 May 2023, Hamburg: The logo of the US technology company Apple can be seen at night at the Apple Store Jungfernstieg in the city center. Photo: Christian Charisius/dpa
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Apple Aims to Tell an AI Story Without AI Bills

FILED - 01 May 2023, Hamburg: The logo of the US technology company Apple can be seen at night at the Apple Store Jungfernstieg in the city center. Photo: Christian Charisius/dpa
FILED - 01 May 2023, Hamburg: The logo of the US technology company Apple can be seen at night at the Apple Store Jungfernstieg in the city center. Photo: Christian Charisius/dpa

For most of the past year and a half, Apple Chief Executive Tim Cook has fielded questions from Wall Street analysts about his plans for artificial intelligence amid grumbling that the iPhone maker has no AI story to tell.
After the company reported quarterly earnings on Thursday, Cook insisted that Apple will have concrete details about its plans for AI to talk about very soon.
"We continue to feel very bullish about our opportunity in generative AI and we're making significant investments," Cook told Reuters in an interview, noting the company has spent $100 billion over the past five years on research and development.
Apple's Big Tech rivals have spent comparable or even greater amounts on R&D over the same period, but they have also been spending heavily to build data centers to host AI services.
Microsoft shelled out $14 billion in the most recent quarter on capex, with Alphabet's Google not far behind, at $12 billion. Meta Platforms told investors last week to expect as much as $40 billion in capital expenditures this year.
Apple thinks different. Its capital expenditure for all of 2023 was just over $10 billion.
Apple, which makes most of its money selling consumer devices, has paid a price for that stance most of this year, with its shares falling 10% as investors worried the company was falling behind in the AI race. Shares of Meta, Google and Microsoft -- all of which make money selling software or advertising services -- have all soared to record highs as the companies grapple to dominate the emerging AI landscape, though investors have also flinched at skyrocketing price tags for data centers and specialized processors required to train AI models.
Apple hinted Thursday it won't take the same tack. While Apple is expected to unveil new AI features at its annual software conference next month and overhaul its product lines with AI-ready chips, Chief Financial Officer Luca Maestri said Apple investors should not expect a huge change in how the company handles capital expenditures.
Responding to an analyst's question, Maestri noted the company's longstanding practice of splitting the cost of manufacturing tools with its suppliers, which has kept Apple's costs down and its cash generation up for more than a decade.
"We do something similar on the data center side," Maestri said. "We have our own data center capacity, and then we use capacity from third parties. It's a model that has worked well for us historically, and we plan to continue along the same lines going forward."
That could be just as well for Apple, because it remains unclear whether AI features such as chatbots that run directly on a device will spur users to buy new phones, tablets or laptops, which remain Apple's biggest source of revenue and profits.
Ben Bajarin of Creative Strategies said that while better processors could serve as a "line in the sand" for some users who need AI tools for professional use, those features may not ignite a sales boom.
"It'll be something that helps lift sales, but I don't expect it to be super cycle," Bajarin said. "You have to be careful to temper expectations."



India Clears Way for Self-driving, Safety Car Tech to Reduce Road Deaths

A woman crosses street through a dust storm accompanied by rain in Jammu, India, Thursday, June 11, 2026.(AP Photo/Channi Anand)
A woman crosses street through a dust storm accompanied by rain in Jammu, India, Thursday, June 11, 2026.(AP Photo/Channi Anand)
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India Clears Way for Self-driving, Safety Car Tech to Reduce Road Deaths

A woman crosses street through a dust storm accompanied by rain in Jammu, India, Thursday, June 11, 2026.(AP Photo/Channi Anand)
A woman crosses street through a dust storm accompanied by rain in Jammu, India, Thursday, June 11, 2026.(AP Photo/Channi Anand)

India has scrapped a license requirement for radar sensors, freeing automakers to adopt technology that helps cars avoid crashes and drive themselves by sensing surrounding objects, in a bid to make some of the world's deadliest roads safer.

The world's third largest car market, India reported more than 177,000 deaths in nearly half a million ⁠road accidents in 2024, the ⁠latest figures show, according to Reuters.

In a notice on Thursday, the government waived the license requirement for radar sensors operating in the frequency band from 77GHz to 81 GHz. That lets companies ⁠enable the technology without the government having to separately assign the airwaves.

Automakers Maruti Suzuki, Tata Motors and Mahindra & Mahindra, stand to benefit from the change, as well the suppliers behind them, such as Germany's Bosch and Continental.

The radar sensors let a car gauge safe distances, and drive features such as emergency braking, adaptive cruise ⁠control ⁠and blindspot warnings, to form a basis for autonomous driving.

The change brings India in line with the United States, the European Union and a global telecoms standard, all of which dedicate the same frequency band to vehicle radar.

That lets carmakers and suppliers tap into the same off-the-shelf hardware worldwide, rather than having to build an India-specific version.


AI Robot Cleaners Leave the Lab for China's Living Rooms

The service is a baby step towards a future in which robots increasingly take over manual labor from humans. WANG Zhao / AFP
The service is a baby step towards a future in which robots increasingly take over manual labor from humans. WANG Zhao / AFP
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AI Robot Cleaners Leave the Lab for China's Living Rooms

The service is a baby step towards a future in which robots increasingly take over manual labor from humans. WANG Zhao / AFP
The service is a baby step towards a future in which robots increasingly take over manual labor from humans. WANG Zhao / AFP

Beijing cleaner Lin Meiqiong found her work a little easier the day she was paired with an unlikely new colleague -- a tall, wheeled robot with AI-powered tidying skills.

The 56-year-old and her white-and-silver partner, fitted with cameras and two mechanical claws, are part of a new human-robot cleaning service offered by Chinese household help platform 58.com.

It's a baby step towards a future espoused by tech evangelists in which robots increasingly take over manual labor from humans -- though at the moment, such services are largely a data-gathering exercise for companies and a novelty for curious customers.

"It's definitely different," Lin told AFP in between cleaning the kitchen and wiping down windows.

"I used to have to do everything myself," she said. "It's reduced the workload a bit."

The cleaning service, a collaboration between 58.com and Chinese robotics company X Square, costs 149 yuan ($22) for three hours and is available in Beijing and tech hub Shenzhen.

Helped into the apartment by an X Square engineer, the AI-operated Quanta X1 Pro robot uses its cameras to identify areas it could spruce up.

As Lin scrubbed the floor on her knees, it picked up rubbish and folded clothes strewn across a sofa.

Grasping a pair of dark grey trousers, it raised its upper body to stretch the fabric taut, before laying it flat and arranging it into neat halves.

The process took several minutes and resembled a child learning to fold clothes for the first time.

Future iterations of the robot will respond to voice commands and even be able to chat, said the engineer, Hu Bowen.

- 'Better than a lab' -

Around 200 households have booked the service since it was rolled out in March.

Tan Pei, who works in advertising and booked the robot to clean her Beijing flat, said she had chosen the service because she was interested to "see what it could do".

"Even though it's not that perfect, there are still parts of it that surprised me," such as folding a pair of trousers "quite well", she said.

China's robots have wowed audiences with fluid dancing and set-piece martial arts displays onstage, but their application and performance in real-life settings remains limited.

For companies like X Square, the logic of launching an imperfect service lies in data collection for so-called embodied artificial intelligence.

Unlike large language models trained on vast quantities of internet content, robots lack comparable real-world datasets.

"We don't have a robot internet yet," Christoforos Mavrogiannis from the University of Michigan told AFP.

"It is much more informative to put the robot out there and study what happens than staying forever in the lab."

X Square engineer Hu said he sends his robots to work in a "completely unfamiliar environment".

"That is very challenging, but this unfamiliar data is also very helpful for the robot's growth."

As investment into embodied AI booms, similar trials in China include robots directing traffic in cities like Hangzhou or working on factory floors.

On the domestic help front, firm GigaAI also plans to deploy 100 humanoid robots into households in central Wuhan this autumn for free home-service trials.

Investors have poured more than 57.7 billion yuan ($8.5 billion) into China's embodied AI industry so far this year, already soaring past the total for last year as a whole, according to business database ITjuzi.

- 'Very elementary stage' -

But a myriad of hurdles stand in the way of widespread deployment.

As the Quanta X1 Pro's clothes folding demonstrated, robots still can't match human dexterity.

"Even though many companies are working on building better hands and building autonomy for hands, we don't have that yet," the University of Michigan's Mavrogiannis said.

There are multiple regulatory issues even once the physical capability is there.

Privacy will become a big issue, as robots would have access to huge amounts of personal data.

"We don't know where that data is going, where it's located... who is looking at that information," said Valeria Alessandra Macalupu Chira from Queensland University of Technology.

The safety of clients and their homes is another unresolved issue.

"I think we are still at a very elementary stage," said Yang Jianfei from Singapore's Nanyang Technological University.

Robots currently require supervision by humans who can activate emergency stop functions, he noted, and there are not yet recognized industry-wide safety standards.

Experts agree broad adoption seems a long way off.

Asked whether she thought robots would revolutionize her industry, cleaner Lin did not seem too concerned.

"Compared with people, it's obviously still not quite there," she said. "After all, it's a robot."


Saudi Arabia Participates in GPAI Paris Meeting for First Time as Member

Saudi Arabia Participates in GPAI Paris Meeting for First Time as Member
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Saudi Arabia Participates in GPAI Paris Meeting for First Time as Member

Saudi Arabia Participates in GPAI Paris Meeting for First Time as Member

Saudi Arabia, represented by the Saudi Data and Artificial Intelligence Authority (SDAIA), participated for the first time as a member of the Global Partnership on Artificial Intelligence (GPAI) during the partnership’s fifth plenary meeting, held at the Organization for Economic Co-operation and Development (OECD) headquarters in Paris from June 9–11, the Saudi Press Agency said on Thursday.

The event brought together member countries, experts, and AI policymakers from around the world to discuss the future of artificial intelligence and international cooperation in the field.

The Kingdom was represented at the meeting by Rehab Alarfaj, General Manager of Strategic Partnerships and Indices at SDAIA, who participated in sessions and discussions focused on AI governance, the implementation of the OECD AI Principles, and the future direction of the GPAI’s work.

Alarfaj stressed the importance of developing practical tools to translate AI principles into actionable, real-world applications. These tools should account for differences in national priorities and levels of institutional maturity among countries, while ensuring the principles remain globally consistent and locally applicable.