AI Personal Shoppers Hunt Down Bargain Buys 

A participant walks in front of an AI banner during the Microsoft AI Tour event in Jakarta, Indonesia, 27 May 2025. (EPA)
A participant walks in front of an AI banner during the Microsoft AI Tour event in Jakarta, Indonesia, 27 May 2025. (EPA)
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AI Personal Shoppers Hunt Down Bargain Buys 

A participant walks in front of an AI banner during the Microsoft AI Tour event in Jakarta, Indonesia, 27 May 2025. (EPA)
A participant walks in front of an AI banner during the Microsoft AI Tour event in Jakarta, Indonesia, 27 May 2025. (EPA)

Internet giants are diving deeper into e-commerce with digital aides that know shoppers' likes, let them virtually try clothes on, hunt for deals and even place orders.

The rise of virtual personal shoppers springs from generative artificial intelligence (AI) being put to work in "agents" specializing in specific tasks and given autonomy to complete them independently.

"This is basically the next evolution of shopping experiences," said CFRA Research analyst Angelo Zino.

Google last week unveiled shopping features built into a new "AI Mode".

It can take a person's own photo and meld it with that of a skirt, shirt or other piece of clothing spotted online, showing how it will look on them.

The AI adjusts the clothing size to fit, accounting for how fabrics drape, according to Google head of advertising and commerce Vidhya Srinivasan.

Shoppers can then set the price they would pay and leave the AI to relentlessly browse the internet for a deal, alerting the shopper when it finds one, and asking if it should buy using Google's payment platform.

"They're taking on Amazon a little bit," Techsponential analyst Avi Greengart said of Google.

The tool is also a way to make money from AI by increasing online traffic and opportunities to show ads, Greengart added.

The Silicon Valley tech titan did not respond to a query regarding whether it is sharing in revenue from shopping transactions.

- Bartering bots? -

OpenAI added a shopping feature to ChatGPT earlier this year, enabling the chatbot to respond to requests with product suggestions, consumer reviews and links to merchant websites.

Perplexity AI late last year began letting subscribers pay for online purchases without leaving its app.

Amazon in April added a "Buy for Me" mode to its Rufus digital assistant, allowing users to command it to make purchases at retailer websites off Amazon's platform.

Walmart head of technology Hari Vasudev recently spoke about adding an AI agent to the retail behemoth's online shopping portal, while also working with partners to make sure their digital agents keep Walmart products in mind.

Global payment networks Visa and Mastercard in April each said their technical systems were modernized to allow payment transactions by digital agents.

"As AI agents start to take over the bulk of product discovery and the decision-making process, retailers must consider how to optimize for this new layer of AI shoppers," said Elise Watson of Clarkston Consulting.

Retailers are likely to be left groping in the dark when it comes to what makes a product attractive to AI agents, according to Watson.

- Knowing the customer -

Analyst Zino does not expect AI shoppers to cause an e-commerce industry upheaval, but he does see the technology benefitting Google and Meta.

Not only do the Internet rivals have massive amounts of data about their users, but they are also among frontrunners in the AI race.

"They probably have more information on the consumer than anyone else out there," Zino said of Google and Meta.

Tech company access to data about users hits the hot-button issue of online privacy and who should control personal information.

Google plans to refine consumer profiles based on what people search for and promises that shoppers will need to authorize access to additional information such as email or app use.

Trusting a chatbot with one's buying decisions may spook some people, and while the technology might be in place the legal and ethical framework for it is not.

"The agent economy is here," said PSE Consulting managing director Chris Jones.

"The next phase of e-commerce will depend on whether we can trust machines to buy on our behalf."



Italy Watchdog Orders Meta to Halt WhatsApp Terms Barring Rival AI Chatbots

The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
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Italy Watchdog Orders Meta to Halt WhatsApp Terms Barring Rival AI Chatbots

The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)
The logo of Meta is seen at Porte de Versailles exhibition center in Paris, France, June 11, 2025. (Reuters)

Italy's antitrust authority (AGCM) on Wednesday ordered Meta Platforms to suspend contractual terms ​that could shut rival AI chatbots out of WhatsApp, as it investigates the US tech group for suspected abuse of a dominant position.

A spokesperson for Meta called the decision "fundamentally flawed," and said the emergence of AI chatbots "put a strain on our systems that ‌they were ‌not designed to support".

"We ‌will ⁠appeal," ​the ‌spokesperson added.

The move is the latest in a string by European regulators against Big Tech firms, as the EU seeks to balance support for the sector with efforts to curb its expanding influence.

Meta's conduct appeared capable of restricting "output, market ⁠access or technical development in the AI chatbot services market", ‌potentially harming consumers, AGCM ‍said.

In July, the ‍Italian regulator opened the investigation into Meta over ‍the suspected abuse of a dominant position related to WhatsApp. It widened the probe in November to cover updated terms for the messaging app's business ​platform.

"These contractual conditions completely exclude Meta AI's competitors in the AI chatbot services ⁠market from the WhatsApp platform," the watchdog said.

EU antitrust regulators launched a parallel investigation into Meta last month over the same allegations.

Europe's tough stance - a marked contrast to more lenient US regulation - has sparked industry pushback, particularly by US tech titans, and led to criticism from the administration of US President Donald Trump.

The Italian watchdog said it was coordinating with the European ‌Commission to ensure Meta's conduct was addressed "in the most effective manner".


Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)
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Amazon Says Blocked 1,800 North Koreans from Applying for Jobs

Amazon logo (Reuters)
Amazon logo (Reuters)

US tech giant Amazon said it has blocked over 1,800 North Koreans from joining the company, as Pyongyang sends large numbers of IT workers overseas to earn and launder funds.

In a post on LinkedIn, Amazon's Chief Security Officer Stephen Schmidt said last week that North Korean workers had been "attempting to secure remote IT jobs with companies worldwide, particularly in the US".

He said the firm had seen nearly a one-third rise in applications by North Koreans in the past year, reported AFP.

The North Koreans typically use "laptop farms" -- a computer in the United States operated remotely from outside the country, he said.

He warned the problem wasn't specific to Amazon and "is likely happening at scale across the industry".

Tell-tale signs of North Korean workers, Schmidt said, included wrongly formatted phone numbers and dodgy academic credentials.

In July, a woman in Arizona was sentenced to more than eight years in prison for running a laptop farm helping North Korean IT workers secure remote jobs at more than 300 US companies.

The scheme generated more than $17 million in revenue for her and North Korea, officials said.

Last year, Seoul's intelligence agency warned that North Korean operatives had used LinkedIn to pose as recruiters and approach South Koreans working at defense firms to obtain information on their technologies.

"North Korea is actively training cyber personnel and infiltrating key locations worldwide," Hong Min, an analyst at the Korea Institute for National Unification, told AFP.

"Given Amazon's business nature, the motive seems largely economic, with a high likelihood that the operation was planned to steal financial assets," he added.

North Korea's cyber-warfare program dates back to at least the mid-1990s.

It has since grown into a 6,000-strong cyber unit known as Bureau 121, which operates from several countries, according to a 2020 US military report.

In November, Washington announced sanctions on eight individuals accused of being "state-sponsored hackers", whose illicit operations were conducted "to fund the regime's nuclear weapons program" by stealing and laundering money.

The US Department of the Treasury has accused North Korea-affiliated cybercriminals of stealing over $3 billion over the past three years, primarily in cryptocurrency.


KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo
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KAUST Scientists Develop AI-Generated Data to Improve Environmental Disaster Tracking

King Abdullah University of Science and Technology (KAUST) logo
King Abdullah University of Science and Technology (KAUST) logo

King Abdullah University of Science and Technology (KAUST) and SARsatX, a Saudi company specializing in Earth observation technologies, have developed computer-generated data to train deep learning models to predict oil spills.

According to KAUST, validating the use of synthetic data is crucial for monitoring environmental disasters, as early detection and rapid response can significantly reduce the risks of environmental damage.

Dean of the Biological and Environmental Science and Engineering Division at KAUST Dr. Matthew McCabe noted that one of the biggest challenges in environmental applications of artificial intelligence is the shortage of high-quality training data.

He explained that this challenge can be addressed by using deep learning to generate synthetic data from a very small sample of real data and then training predictive AI models on it.

This approach can significantly enhance efforts to protect the marine environment by enabling faster and more reliable monitoring of oil spills while reducing the logistical and environmental challenges associated with data collection.