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Ryu Young-sang, CEO of South Korean telecoms giant SK Telecom, told CNBC that AI is helping telecoms firms improve efficiency in their networks.

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BARCELONA — Global telecommunications firms are talking up advances in key technologies like artificial intelligence as they look to transition away from being perceived as the “dumb pipes” behind the internet.

At the Mobile World Congress technology conference in Barcelona, CEOs of multiple telecoms companies described how they’re piling money into new technological innovations, including AI, next-generation 5G and 6G networks, satellite internet and even smart cities.

Makoto Takahashi, president and CEO of Japanese telecom giant KDDI, detailed plans to build a smart city dubbed Takanawa Gateway City in Tokyo, as well as roll out direct-to-cell satellite internet connectivity in partnership with Elon Musk’s Starlink venture.

Ralph Mupita, the CEO of Africa’s largest mobile network operator MTN, also took to the stage to share how the company has made significant strides toward becoming a company that offers both wireless connectivity and fintech services such as payments, e-commerce, insurance, lending and remittances.

“The telco business has served us well. It has iterated since. But the future is really about the future of platforms,” Mupita said in his keynote talk, adding the company has invested aggressively into other areas such as media streaming and financial services.

From ‘dumb pipes’ to ‘techcos’

Some lingo that has gathered steam in the telco industry for the last couple of years is the phrase “techco,” a portmanteau of the words “telco” and “tech.”

Watch CNBC's full interview with Deutsche Telekom CEO: 'Europe has to wake up'

The term refers to the idea of a telco firm that operates more like a tech company — one that invests in cutting-edge technology and offers digital services to consumers to help them make money from the significant capital expenditures they’ve allocated to upgrading their wireless networks.

For two decades, tech giants such as Meta, Google, Amazon, Apple, Microsoft and Netflix have flourished in a world where content can be delivered directly to people’s devices, consumers can communicate seamlessly with one another, and data can be stored or streamed online without having to own cumbersome infrastructure — all thanks to innovations like the internet, smartphones and the cloud.

However, these innovations have disrupted telecom firms’ business models, to the point where they’re now often perceived as legacy players that are only there to lay down the cables and other network infrastructure that enable internet connectivity.

It’s a dilemma that’s earned telco brands the pejorative term “dumb pipes.”

“I remember early in the industry, even before mobile internet when SMS used to be the killer app,” Hatem Dowidar, CEO of UAE state-owned telecom company e&, said in a keynote speech at MWC. “We used to make messaging revenue. We used to make voice revenue.”

“All this over the years got disrupted by over-the-top players, to the point that today, a lot of telcos around the world are reduced to being a pipe of packets just getting data across the networks,” Dowidar added. “And competition is not staying still. They have the scale, they have the investment to go and disrupt even further.”

Telcos embrace AI

Ryu Young-sang, CEO of SK Telecom, told CNBC’s Arjun Kharpal that the South Korean telecoms giant has looked to AI technology to help it improve the efficiency of its wireless network — something that was consistently on display at numerous telco operators’ booths at MWC.

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“For telcos, there are two aspects of AI. One is as a user, the other is as a supplier,” said Young-sang. “As a user, you are a telco business, you can improve your network efficiency, marketing and customer service by using the AI technology. You can improve your own operations.”

“The other aspect is, AI can be a growth engine, a new business opportunity for telcos,” he added. Data centers, the facilities that offer computing capacity needed to run generative AI applications like ChatGPT, are another key area where telcos like SK Telecom can play a key role, Young-sang said.

In the Western world, the race to build data centers is one that’s been mostly dominated by cloud computing giants — or “hyperscalers” — such as Amazon, Microsoft and Google. However, SK Telecom is aggressively expanding AI-ready data centers of its own globally, according to the firm’s CEO.

Can telcos catch up on tech?

For many telecom industry analysts, chatter about telcos seeking to transform themselves into tech players isn’t entirely new — companies in the industry have long been aware their relevance in communications and media has been dwindling.

Kester Mann, director of consumer and connectivity at market research firm CCS Insight, told CNBC that while he’s not a great fan of the “techco” term, it’s something the industry continues to focus on and has gathered pace in the context of the AI boom.

“AI can influence so many areas … and obviously that does play to that trend around telco to techco and operators positioning themselves more than just a connectivity provider,” Mann said.

Imperative that Western world leads on AI, says Bret Taylor

So-called “autonomous networks,” or networks that can be managed and fixed with limited human oversight, is an area that’s quickly gaining traction in the industry, according to Nik Willetts, CEO of telco industry association TM Forum.

“Autonomous Networks is a movement we see moving from theory to reality incredibly quickly, thanks to advancements in AI combined with a new level of ambition and industry-wide action,” Willetts said.

This tech “can unlock a step-change in operating and capital efficiency, improving EBITDA and free cashflows, as well as unlocking new revenue opportunities and much-needed improvements in customer experience,” he added.

Jeetu Patel, chief product officer of IT networking giant Cisco, said he sees telcos playing a vital role as AI drives up demand for network traffic and bandwidth.

“The reality is this: the network bandwidth appetite is going to increase exponentially with AI,” Patel told CNBC. “Today, 100% of our workforce is human. Tomorrow, you will have that being augmented by AI agents, robots, humanoids, a lot of edge devices.”

“These agents are going to be more chatty and they’re going to require more network traffic and bandwidth,” he added. “I think service providers have a significant role to play. In my mind, the opportunity is not gone for them.”

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Web giant Cloudflare to block AI bots from scraping content by default

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Web giant Cloudflare to block AI bots from scraping content by default

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Internet firm Cloudflare will start blocking artificial intelligence crawlers from accessing content without website owners’ permission or compensation by default, in a move that could significantly impact AI developers’ ability to train their models.

Starting Tuesday, every new web domain that signs up to Cloudflare will be asked if they want to allow AI crawlers, effectively giving them the ability to prevent bots from scraping data from their websites.

Cloudflare is what’s called a content delivery network, or CDN. It helps businesses deliver online content and applications faster by caching the data closer to end-users. They play a significant role in making sure people can access web content seamlessly every day.

Roughly 16% of global internet traffic goes directly through Cloudflare’s CDN, the firm estimated in a 2023 report.

“AI crawlers have been scraping content without limits. Our goal is to put the power back in the hands of creators, while still helping AI companies innovate,” said Matthew Prince, co-founder and CEO of Cloudflare, in a statement Tuesday.

“This is about safeguarding the future of a free and vibrant Internet with a new model that works for everyone,” he added.

What are AI crawlers?

AI crawlers are automated bots designed to extract large quantities of data from websites, databases and other sources of information to train large language models from the likes of OpenAI and Google.

Whereas the internet previously rewarded creators by directing users to original websites, according to Cloudflare, today AI crawlers are breaking that model by collecting text, articles and images to generate responses to queries in a way that users don’t need to visit the original source.

This, the company adds, is depriving publishers of vital traffic and, in turn, revenue from online advertising.

Read more CNBC tech news

Tuesday’s move builds on a tool Cloudflare launched in September last year that gave publishers the ability to block AI crawlers with a single click. Now, the company is going a step further by making this the default for all websites it provides services for.

OpenAI says it declined to participate when Cloudflare previewed its plan to block AI crawlers by default on the grounds that the content delivery network is adding a middleman to the system.

The Microsoft-backed AI lab stressed its role as a pioneer of using robots.txt, a set of code that prevents automated scraping of web data, and said its crawlers respect publisher preferences.

“AI crawlers are typically seen as more invasive and selective when it comes to the data they consumer. They have been accused of overwhelming websites and significantly impacting user experience,” Matthew Holman, a partner at U.K. law firm Cripps, told CNBC.

“If effective, the development would hinder AI chatbots’ ability to harvest data for training and search purposes,” he added. “This is likely to lead to a short term impact on AI model training and could, over the long term, affect the viability of models.”

WATCH: AI engineers are in high demand — but what is the job really like?

AI engineers are in high demand — but what is the job really like?

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Elon Musk’s xAI raises $10 billion in debt and equity as it steps up challenge to OpenAI

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Elon Musk's xAI raises  billion in debt and equity as it steps up challenge to OpenAI

Elon Musk announced his new company xAI, which he says has the goal to understand the true nature of the universe.

Jaap Arriens | Nurphoto | Getty Images

XAI, the artificial intelligence startup run by Elon Musk, raised a combined $10 billion in debt and equity, Morgan Stanley said.

Half of that sum was clinched through secured notes and term loans, while a separate $5 billion was secured through strategic equity investment, the bank said on Monday.

The funding gives xAI more firepower to build out infrastructure and develop its Grok AI chatbot as it looks to compete with bitter rival OpenAI, as well as with a swathe of other players including Amazon-backed Anthropic.

In May, Musk told CNBC that xAI has already installed 200,000 graphics processing units (GPUs) at its Colossus facility in Memphis, Tennessee. Colossus is xAI’s supercomputer that trains the firm’s AI. Musk at the time said that his company will continue buying chips from semiconductor giants Nvidia and AMD and that xAI is planning a 1-million-GPU facility outside of Memphis.

Addressing the latest funds raised by the company, Morgan Stanley that “the proceeds will support xAI’s continued development of cutting-edge AI solutions, including one of the world’s largest data center and its flagship Grok platform.”

xAI continues to release updates to Grok and unveiled the Grok 3 AI model in February. Musk has sought to boost the use of Grok by integrating the AI model with the X social media platform, formerly known as Twitter. In March, xAI acquired X in a deal that valued the site at $33 billion and the AI firm at $80 billion. It’s unclear if the new equity raise has changed that valuation.

xAI was not immediately available for comment.

Last year, xAI raised $6 billion at a valuation of $50 billion, CNBC reported.

Morgan Stanley said the latest debt offering was “oversubscribed and included prominent global debt investors.”

Competition among American AI startups is intensifying, with companies raising huge amounts of funding to buy chips and build infrastructure.

OpenAI in March closed a $40 billion financing round that valued the ChatGPT developer at $300 billion. Its big investors include Microsoft and Japan’s SoftBank.

Anthropic, the developer of the Claude chatbot, closed a funding round in March that valued the firm at $61.5 billion. The company then received a five-year $2.5 billion revolving credit line in May.

Musk has called Grok a “maximally truth-seeking” AI that is also “anti-woke,” in a bid to set it apart from its rivals. But this has not come without its fair share of controversy. Earlier this year, Grok responded to user queries with unrelated comments about the controversial topic of “white genocide” and South Africa.

Musk has also clashed with fellow AI leaders, including OpenAI’s Sam Altman. Most famously, Musk claimed that OpenAI, which he co-founded, has deviated from its original mission of developing AI to benefit humanity as a nonprofit and is instead focused on commercial success. In February, Musk alongside a group of investors, put in a bid of $97.4 billion to buy control of OpenAI. Altman swiftly rejected the offer.

CNBC’s Lora Kolodny and Jonathan Vanian contributed to this report.

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China’s Huawei open-sources AI models as it seeks adoption across the global AI market

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China's Huawei open-sources AI models as it seeks adoption across the global AI market

In recent years, the company has transformed from a competent private sector telecommunications firm into a “muscular technology juggernaut straddling the entire AI hardware and software stack,” said Paul Triolo, partner and senior vice president for China at advisory firm DGA-Albright Stonebridge Group.

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Huawei has open-sourced two of its artificial intelligence models — a move tech experts say will help the U.S.-blacklisted firm continue to build its AI ecosystem and expand overseas. 

The Chinese tech giant announced on Monday the open-sourcing of the AI models under its Pangu series, as well as some of its model reasoning technology.

The moves are in line with other Chinese AI players that continue to push an open-source development strategy. Baidu also open-sourced its large language model series Ernie on Monday. 

Tech experts told CNBC that Huawei’s latest announcements not only highlight how it is solidifying itself as an open-source LLM player, but also how it is strengthening its position across the entire AI value chain as it works to overcome U.S.-led AI chip export restrictions.

In recent years, the company has transformed from a competent private sector telecommunications firm into a “muscular technology juggernaut straddling the entire AI hardware and software stack,” said Paul Triolo, partner and senior vice president for China at advisory firm DGA-Albright Stonebridge Group.

In its announcement Monday, Huawei called the open-source moves another key measure for Huawei’s “Ascend ecosystem strategy” that would help speed up the adoption of AI across “thousands of industries.”

The Ascend ecosystem refers to AI products built around the company’s Ascend AI chip series, which are widely considered to be China’s leading competitor to products from American chip giant Nvidia. Nvidia is restricted from selling its advanced products to China. 

A Google-like strategy?

Pangu being available in an open-source manner allows developers and businesses to test the models and customize them for their needs, said Lian Jye Su, chief analyst at Omdia. “The move is expected to incentivize the use of other Huawei products,” he added.

According to experts, the coupling of Huawei’s Pangu models with the company’s AI chips and related products gives the company a unique advantage, allowing it to optimize its AI solutions and applications. 

While competitors like Baidu have LLMs with broad capabilities, Huawei has focused on specialized AI models for sectors such as government, finance and manufacturing.

“Huawei is not as strong as companies like DeepSeek and Baidu at the overall software level – but it doesn’t need to be,” said Marc Einstein, research director at Counterpoint Research. 

“Its objective is to ultimately use open source products to drive hardware sales, which is a completely different model from others. It also collaborates with DeepSeek, Baidu and others and will continue to do so,” he added. 

Nvidia CEO: Huawei ‘has got China covered’ if the U.S. doesn’t participate

Ray Wang, principal analyst at Constellation Research, said the chip-to-model strategy is similar to that of Google, a company that is also developing AI chips and AI models like its open-source Gemma models.

Huawei’s announcement on Monday could also help with its international ambitions. Huawei, along with players like Zhipu AI, has been slowly making inroads into new overseas markets.

In its announcement Monday, Huawei invited developers, corporate partners and researchers around the world to download and use its new open-source products in order to gather feedback and improve them.

“Huawei’s open-source strategy will resonate well in developing countries where enterprises are more price-sensitive as is the case with [Huawei’s] other products,” Einstein said. 

As part of its global strategy, the company has also been looking to bring its latest AI data center solutions to new countries. 

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