South Korea to Require Advertisers to Label AI-Generated Ads 

Pedestrians walk on a snowy street as the season's first snow falls in downtown Seoul on December 4, 2025. (AFP)
Pedestrians walk on a snowy street as the season's first snow falls in downtown Seoul on December 4, 2025. (AFP)
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South Korea to Require Advertisers to Label AI-Generated Ads 

Pedestrians walk on a snowy street as the season's first snow falls in downtown Seoul on December 4, 2025. (AFP)
Pedestrians walk on a snowy street as the season's first snow falls in downtown Seoul on December 4, 2025. (AFP)

South Korea will require advertisers to label their ads made with artificial intelligence technologies from next year as it seeks to curb a surge of deceptive promotions featuring fabricated experts or deep-faked celebrities endorsing food or pharmaceutical products on social media.

Following a policy meeting chaired by Prime Minister Kim Min-seok on Wednesday, officials said they will ramp up screening and removal of problematic AI-generated ads and impose punitive fines, citing growing risks to consumers — especially older people who struggle to tell whether content is AI-made.

Lee Dong-hoon, director of economic and financial policy at the Office for Government Policy Coordination, said in a briefing that such ads are “disrupting the market order,” and that “swift action is now essential.”

“Anyone who creates, edits, and posts AI-generated photos or videos will be required to label them as AI-made, and the users of the platform will be prohibited from removing or tampering with those labels,” he said.

AI-generated ads using digitally fabricated experts or deepfake videos and audios of celebrities, promoting everything from weight-loss pills and cosmetics to illegal gambling sites, have become staples across the South Korean spaces of YouTube, Facebook and other social media platforms.

The government will seek to revise the telecommunications act and other related laws so the AI-labeling requirement, along with strengthened monitoring and punitive measures, can take effect in early 2026. Companies operating the platforms will also be responsible for ensuring that advertisers comply with the labeling rules, Lee said.

Officials say it’s becoming increasingly difficult to monitor and detect the growing number of false ads fueled by AI. South Korea’s Food and Drug Safety Ministry identified more than 96,700 illegal online ads of food and pharmaceutical products in 2024 and 68,950 through September this year, up from around 59,000 in 2023.

The problem is also spreading into areas such as private education, cosmetics and illegal gambling services, leaving the Korea Consumer Agency and other watchdogs struggling to keep pace, the Government Policy Coordination Office said.

Beyond deceptive ads and misinformation, South Korea is also grappling with sexual abuse enabled by AI and other digital technologies. A Seoul court last month sentenced a 33-year-old man to life in prison for running an online blackmail ring that sexually exploited or abused more than 200 victims, including many minors who were threatened with deepfakes and other manipulated sexual images and videos.

Officials plan to raise fines and also introduce punitive penalties next year to discourage the creation of false AI-generated ads, saying those who knowingly distribute false or fabricated information online or through other telecommunications networks could be held liable for damages up to five times the losses incurred.

Officials will also strengthen monitoring and faster takedown procedures, including enabling reviews within 24 hours and introducing an emergency process to block harmful ads even before deliberation is complete. They also plan to bolster the monitoring capabilities of the Food and Drug Safety Ministry and the Korea Consumer Agency — using AI, of course.

Despite risks, South Korea’s love for AI grows

Prime Minister Kim, Seoul’s No. 2 official behind President Lee Jae Myung, said during the policy meeting that it’s crucial to “minimize the side effects of new technologies” as the country embraces the “AI era.”

The plans to label AI-generated ads were announced as Lee, in a separate meeting with business leaders, reiterated his government’s ambitions for AI, pledging national efforts to strengthen South Korea’s capabilities in advanced computer chips that power the global AI race.

Government plans include more research and development spending on AI-specific chips and other advanced semiconductor products as well as expanding the country’s chip manufacturing hubs beyond metropolitan areas near the capital city of Seoul to the southern regions. South Korean chipmakers, including Samsung Electronics and SK Hynix, combined for more than 65% of the global memory chip market last year.

The science and telecommunications ministry also said Wednesday it will require the country’s wireless carriers to transition to 5G standalone networks, which are seen as optimal for advanced AI applications because of their higher bandwidth and lower latency, as a condition for renewing their 3G and LTE licenses.



Software Companies Fight Back Against Fears that AI Will Kill Them

Software Companies Fight Back Against Fears that AI Will Kill Them
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Software Companies Fight Back Against Fears that AI Will Kill Them

Software Companies Fight Back Against Fears that AI Will Kill Them

Oracle's Mike Sicilia is the latest software CEO to wade in to the debate on whether artificial intelligence tools that heavily automate human tasks will mean the demise of his industry. His verdict was a resounding "no."

"You've all heard ... that new companies coding quickly using AI will spell the death of SaaS (software as a service)," he told analysts on a conference call on Tuesday. "I don't agree with that at all. I do think that AI tools and their coding capabilities would be a threat if we weren't adopting them, but we are, and very rapidly."

Sicilia was responding to Wall Street concerns that new AI tools can now perform some of the tasks that traditional software companies' products were built for, such as organizing customer information or guiding people through business processes.

Those worries led to a nearly $1 trillion rout in software stocks last month after heavyweight AI startup Anthropic introduced AI plugins for its Claude Cowork agent, a digital assistant that can automate such tasks. CEOs of software companies have since used their post-earnings conference calls to fight back.

Sicilia also laid out a case that Oracle was ahead of its smaller rival Salesforce, saying his company was using AI to actually build new products and automate full business processes, not just add AI features on top of existing tools.

Salesforce, for its part, has offered a different defense, with CEO Marc ⁠Benioff last ⁠month telling analysts that his company will outlast any so-called SaaS-pocalypse, a term for last month's share rout that hit software-as-a-service companies.

Benioff brought in Salesforce customers who positioned Salesforce as a company that has transformed itself into an enterprise platform that builds, deploys and governs those AI agents, using the company's mountains of proprietary customer and sales-process data. Even Jensen Huang, an AI pioneer and the CEO of chipmaker Nvidia , last month dismissed fears that AI would replace software and related tools, calling the idea "illogical."

UNIQUE DATA IS THE BEST DEFENSE

Oracle predicted on Tuesday that the AI boom would power its revenue for several quarters to come, sending its shares up 10% on Wednesday. The company owns deep enterprise data across finance, supply chain and human resources, which is hard for AI to replicate.

Oracle offers cheaper, efficient cloud systems and a database that ⁠can run on any major cloud, said Rebecca Wettemann, CEO of technology research firm Valoir. "That flexibility gives customers choice - and that’s a powerful position to be in as the AI ecosystem evolves," she said.

Nearly a dozen tech analysts and investors surveyed by Reuters said the owners of years of exclusive financial, legal, design, or technical data likely have the best defense.

"Proprietary data is the deepest moat by far," said James St. Aubin, chief investment officer at Ocean Park Asset Management.

In the case of Salesforce, while startups are nibbling away at the company's dominance in the customer-relationship software sector, its software remains deeply embedded in corporate systems, with its real-time data platform managing more than 50 trillion records. It is also trying to reinvent itself as an AI-agent company through its Agentforce service - still a small business.

Some analysts said Salesforce is also hard to replace because businesses have spent years building their day-to-day operations around the company's products and the cost of switching away is high.

But AI is beginning to erode that barrier, making it easier to generate code and build applications with far less human effort and expense.

While businesses experiment with isolated AI tools, Salesforce has built a comprehensive system that helps it stand out, said Madhav Thattai, executive vice president of Salesforce AI, adding ⁠that the company benefits from decades of ⁠enterprise experience.

Oracle did not return emails seeking comment.

NOT ALL IS DOOM AND GLOOM

But concerns about the demise of traditional software companies have lingered, and analysts said not all data is equal.

Employee data and payroll company Workday has plenty of data, but analysts said its core products run on HR and payroll data, which tend to follow uniform, industry-standard formats. That means an AI company can more easily learn from or replicate tools built on that kind of data.

Workday brought back its founder, Aneel Bhusri, as CEO last month to lead the company "in the rapidly evolving AI era."

But the company's shares have declined by more than a third this year, hitting more than a five-year low last month after a sluggish sales forecast. Bhusri said last month that Workday systems embed two decades of business processes that AI cannot replicate.

"AI, for all of its incredible capabilities, is probabilistic by nature," he told analysts on the post-earnings conference call. "It reasons, predicts and recommends based on patterns and likelihoods. Maybe it will eventually become a state machine - a system that follows the same steps and gets the same result, every time - but it is not there today."

Asked for a comment for this story, a Workday spokesperson referred Reuters to Bhusri's comments on the call.

Some analysts believe the enterprise software industry will prove more resilient than valuations currently indicate, arguing that higher productivity brought by AI could spur hiring and growth.

"I would not write the obituary for some of these companies just yet because there is an opportunity for them to reinvent themselves with AI," Ocean Park's Aubin said.


Meta Unveils Plans for Batch of In-house AI Chips

Mark Zuckerberg outside the court where he testified in a landmark trial (Reuters)
Mark Zuckerberg outside the court where he testified in a landmark trial (Reuters)
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Meta Unveils Plans for Batch of In-house AI Chips

Mark Zuckerberg outside the court where he testified in a landmark trial (Reuters)
Mark Zuckerberg outside the court where he testified in a landmark trial (Reuters)

Meta Platforms on Wednesday unveiled a roadmap of four new chips that the company is making in-house, as it rapidly expands its data centers.

Like many big tech companies such as Alphabet and Microsoft, Meta has invested heavily in building a team that can design chips in-house in addition to purchasing off-the-shelf products made by Nvidia and Advanced Micro Devices.

Making chips designed to tackle the specific types of data crunching Meta requires can lead to designs that use less energy and at a better cost.

The new chips are part of the company's Meta Training and Inference Accelerator (MTIA) program and the first of the new chips called the MTIA 300 is in use powering the company's ranking and recommendation systems. The other three will be rolled out this year and in 2027, with the final two chips, the MTIA 450 and 500 being designed to perform inference, the process when an AI model such as the one that powers the ChatGPT app responds to customer queries and requests.

"We see inference demand exploding at the moment and that's what we're currently focused on," Yee Jiun Song, Meta's vice president of engineering, said in an interview.

Meta has had some success with inference chips but has struggled with its long-time ambitions to make a generative AI training chip, capable of building the large models that power AI apps.

Beginning with the MTIA 400, which the company says is on the path to being used in its data centers, Meta has designed an entire system around the chips, which is roughly the size of several server racks and includes a version of liquid cooling.

The company plans to release the new chips at six-month intervals because it is rapidly expanding the number of data centers it uses to run apps like Instagram and Facebook, Song said.

"That is the reality of how quickly our infrastructure is being built out," Song said.

The company said in January it expects capital spending of between $115 billion and $135 billion this year.

Meta contracts Broadcom to help with some elements of the designs, though Song did not specify which chips. The company uses Taiwan Semiconductor Manufacturing Co to fabricate the processors.

In February, Meta signed big deals with Nvidia and AMD to buy tens of billions of dollars worth of chips.


SDAIA Unveils Logo for Saudi Arabia's Year of Artificial Intelligence 2026

The logo integrates symbolism in its elements
The logo integrates symbolism in its elements
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SDAIA Unveils Logo for Saudi Arabia's Year of Artificial Intelligence 2026

The logo integrates symbolism in its elements
The logo integrates symbolism in its elements

The Saudi Data and AI Authority (SDAIA) has launched the official logo for the Year of Artificial Intelligence 2026, after it was approved by the Cabinet.

This move underscores the Kingdom’s commitment to advancing artificial intelligence, reinforcing its role as a global hub in data and AI, and highlighting key achievements in this cutting-edge sector.

The logo integrates symbolism in its elements: the palm tree signifies the national emblem and the Kingdom’s cultural heritage, while the letters ‘AI’ highlight the technological and innovative aspects central to promoting digital inclusion as part of Vision 2030.

The palm tree’s green color symbolizes the Saudi flag and the Kingdom’s national identity, while the accompanying blue color represents digital technology and the Kingdom’s progression toward advanced technological development.

The logo is accompanied by the official hashtag for the Year of Artificial Intelligence: #SaudiAIYear.