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Soaring investment from big tech companies in artificial intelligence and chatbots — amid massive layoffs and a growth decline — has left many chief information security officers in a whirlwind.

With OpenAI’s ChatGPT, Microsoft‘s Bing AI, Google‘s Bard and Elon Musk’s plan for his own chatbot making headlines, generative AI is seeping into the workplace, and chief information security officers need to approach this technology with caution and prepare with necessary security measures.

The tech behind GPT, or generative pretrained transformers, is powered by large language models (LLMs), or algorithms that produce a chatbot’s human-like conversations. But not every company has its own GPT, so companies need to monitor how workers use this technology.

People are going to use generative AI if they find it useful to do their work, says Michael Chui, a partner at the McKinsey Global Institute, comparing it to the way workers use personal computers or phones.

“Even when it’s not sanctioned or blessed by IT, people are finding [chatbots] useful,” Chui said.

“Throughout history, we’ve found technologies which are so compelling that individuals are willing to pay for it,” he said. “People were buying mobile phones long before businesses said, ‘I will supply this to you.’ PCs were similar, so we’re seeing the equivalent now with generative AI.”

As a result, there’s “catch up” for companies in terms of how the are going to approach security measures, Chui added.

Whether it’s standard business practice like monitoring what information is shared on an AI platform or integrating a company-sanctioned GPT in the workplace, experts think there are certain areas where CISOs and companies should start.

Start with the basics of information security

CISOs — already combating burnout and stress — deal with enough problems, like potential cybersecurity attacks and increasing automation needs. As AI and GPT move into the workplace, CISOs can start with the security basics.

Chui said companies can license use of an existing AI platform, so they can monitor what employees say to a chatbot and make sure that the information shared is protected.

“If you’re a corporation, you don’t want your employees prompting a publicly available chatbot with confidential information,” Chui said. “So, you could put technical means in place, where you can license the software and have an enforceable legal agreement about where your data goes or doesn’t go.”

Licensing use of software comes with additional checks and balances, Chui said. Protection of confidential information, regulation of where the information gets stored, and guidelines for how employees can use the software — all are standard procedure when companies license software, AI or not.

“If you have an agreement, you can audit the software, so you can see if they’re protecting the data in the ways that you want it to be protected,” Chui said.

Most companies that store information with cloud-based software already do this, Chui said, so getting ahead and offering employees an AI platform that’s company-sanctioned means a business is already in-line with existing industry practices.

How to create or integrate a customized GPT

One security option for companies is to develop their own GPT, or hire companies that create this technology to make a custom version, says Sameer Penakalapati, chief executive officer at Ceipal, an AI-driven talent acquisition platform.

In specific functions like HR, there are multiple platforms from Ceipal to Beamery’s TalentGPT, and companies may consider Microsoft’s plan to offer customizable GPT. But despite increasingly high costs, companies may also want to create their own technology.

If a company creates its own GPT, the software will have the exact information it wants employees to have access to. A company can also safeguard the information that employees feed into it, Penakalapati said, but even hiring an AI company to generate this platform will enable companies to feed and store information safely, he added.

Whatever path a company chooses, Penakalapati said that CISOs should remember that these machines perform based on how they have been taught. It’s important to be intentional about the data you’re giving the technology.

“I always tell people to make sure you have technology that provides information based on unbiased and accurate data,” Penakalapati said. “Because this technology is not created by accident.”

Warren Buffett on ChatGPT and AI: This is extraordinary but not sure if it’s beneficial yet

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Taiwan blacklists China’s Huawei and SMIC, further aligning with U.S. trade policy

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Taiwan blacklists China's Huawei and SMIC, further aligning with U.S. trade policy

The U.S. has placed major chip export restrictions on Huawei and Chinese firms over the past few years. This has cut off companies’ access to critical semiconductors.

Jaap Arriens | Nurphoto | Getty Images

Taiwan has added China’s Huawei and SMIC to its trade blacklist in a move that further aligns it with U.S. trade policy and comes amid growing tensions with Beijing. 

The two leading Chinese chip firms have been put on Taiwan’s “Strategic High-Tech Commodities Entity List,” along with many of their international subsidiaries.

Taiwan’s current regulations require licenses from regulators before domestic firms can ship products to parties named on the entity list. 

In a statement on its website, Taiwan’s International Trade Administration said that Huawei and SMIC were among the 601 new foreign entities, blacklisted due to their involvement in arms proliferation activities and other national security concerns.

Huawei and SMIC are also on a U.S. trade blacklist and have been impacted by Washington’s sweeping controls on advanced chips. Companies such as contract chipmaker Taiwan Semiconductor Manufacturing Co already follow U.S. export restrictions. 

However, the addition of Huawei and SMIC to the Taiwan blacklist is likely aimed at the reinforcement of this policy and a tightening of existing loopholes, Ray Wang, an independent semiconductor and tech analyst, told CNBC. 

He added that the new domestic export controls could also raise the punishment for any potential breaches in the future. 

UBS GWM: Taiwan's security means it needs to remain relevant to the world, including China

TSMC had been embroiled in controversy in October last year when semiconductor research firm TechInsights found a TSMC-made chip in a Huawei AI training card. 

Following the discovery, the U.S. Commerce Department ordered TSMC to halt Chinese clients’ access to chips used for AI services, according to a report from Reuters. TSMC could also reportedly face a $1 billion as penalty to settle a U.S. investigation into the matter.

Huawei has been working to create viable alternatives to Nvidia‘s general processing units used for AI. But, experts say the company’s advancement has been limited by export controls and a lack of scale and capabilities in the domestic chip ecosystem. 

Still, Huawei is believed to have acquired several million GPU dies from TSMC for its AI chips by using previous loopholes before they were discovered, according to Paul Triolo, partner and senior vice president for China at advisory firm DGA-Albright Stonebridge Group. 

A die refers to a small piece of silicon material that serves as the foundation for building processors and contains the intricate circuitry and components necessary to perform computations. 

The Taiwanese government’s crackdown on exports to SMIC and Huawei also comes amid tense geopolitical tensions with Mainland China, which regards the democratically governed island as its own territory to be reunited by force, if necessary.

In April, the U.S. reaffirmed its commitment to support the existing status quo as China conducted large-scale military exercises off the coast of the island.

In statements reported by state media on Sunday, China’s top political adviser Wang Huning echoed Beijing’s position, calling for the promotion of national reunification with Taiwan and for resolute opposition to Taiwan independence. 

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AI is disrupting the advertising business in a big way — industry leaders explain how

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AI is disrupting the advertising business in a big way — industry leaders explain how

An AI assistant on display at Mobile World Congress 2024 in Barcelona.

Angel Garcia | Bloomberg | Getty Images

Artificial intelligence is shaking up the advertising business and “unnerving” investors, one industry leader told CNBC.

“I think this AI disruption … unnerving investors in every industry, and it’s totally disrupting our business,” Mark Read, the outgoing CEO of British advertising group WPP, told CNBC’s Karen Tso on Tuesday.

The advertising market is under threat from emerging generative AI tools that can be used to materialize pieces of content at rapid pace. The past couple of years has seen the rise of a number of AI image generators, including OpenAI’s DALL-E, Google’s Veo and Midjourney.

In his first interview since announcing he would step down as WPP boss, Read said that AI is “going to totally revolutionize our business.”

“AI is going to make all the world’s expertise available to everybody at extremely low cost,” he said at London Tech Week. “The best lawyer, the best psychologist, the best radiologist, the best accountant, and indeed, the best advertising creatives and marketing people often will be an AI, you know, will be driven by AI.”

Read said that 50,000 WPP employees now use WPP Open, the company’s own AI-powered marketing platform.

“That, I think, is my legacy in many ways,” he added.

Outgoing WPP CEO says AI will 'revolutionize' advertising business

Structural pressure on creative parts of the ad business are driving industry consolidation, Read also noted, adding that companies would need to “embrace” the way in which AI would impact everything from creating briefs and media plans to optimizing campaigns.

A report from Forrester released in June last year showed that more than 60% of U.S. ad agencies are already making use of generative AI, with a further 31% saying they’re exploring use cases for the technology.

‘Huge transformation’

Read is not alone in this view. Advertising is undergoing a “huge transformation” due to the disruptive effects of AI, French advertising giant Publicis Groupe’s CEO Maurice Levy told CNBC at the Viva Tech conference in Paris.

He noted that AI image and video generation tools are speeding up content production drastically, while automated messaging systems can now achieve “personalization at scale like never before.”

Read more CNBC tech news

However, the Publicis chief stressed that AI should only be considered a tool that people can use to augment their lives.

“We should not believe that AI is more than a tool,” he added.

And while AI is likely to impact some jobs, Levy ultimately thinks it will create more roles than it destroys.

“Will AI replace me, and will AI kill some jobs? I think that AI, yes, will destroy some jobs,” Levy conceded. However, he added that, “more importantly, AI will transform jobs and will create more jobs. So the net balance will be probably positive.”

This, he says, would be in keeping with the labor impacts of previous technological inventions like the internet and smartphones.

AI is moving from curiosity to action, Publicis' Maurice Levy says

“There will be more autonomous work,” Levy added.

Still, Nicole Denman Greene, analyst at Gartner, warns brands should be wary of causing a negative reaction from consumers who are skeptical of AI’s impact on human creativity.

According to a Gartner survey from September, 82% of consumers said firms using generative AI should prioritize preserving human jobs, even if it means lower profits.

“Pivot from what AI can do to what it should do in advertising,” Greene told CNBC.

“What it should do is help create groundbreaking insights, unique execution to reach diverse and niche audiences, push boundaries on what ‘marketing’ is and deliver more brand differentiated, helpful and relevant personalized experiences, including deliver on the promise of hyper-personalization.”

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Nvidia-mania took over Europe this week. Here’s what I learned from Jensen Huang

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Nvidia-mania took over Europe this week. Here's what I learned from Jensen Huang

Jensen Huang, co-founder and chief executive officer of Nvidia Corp., left, and Emmanuel Macron, France’s president at the 2025 VivaTech conference in Paris, France, on Wednesday, June 11, 2025.

Nathan Laine | Bloomberg | Getty Images

Nvidia boss Jensen Huang has been on a tour of Europe this week, bringing excitement and intrigue to everywhere he visited.

His message was clear — Nvidia is the company that can help Europe build its artificial intelligence infrastructure so the region can take control of its own destiny with the transformative technology.

I’ve been in London and Paris this week following Huang around as he met with U.K. Prime Minister Keir Starmer, French President Emmanuel Macron, journalists, fans, analysts and gave a keynote at Nvidia’s GTC event in the capital of France.

Here’s the what I saw and the key things I learned.

The draw of Huang is huge

Huang is truly the current rockstar of the tech world.

At London Tech Week, the lines were long and the auditorium packed to hear him speak.

The GTC event in Paris was full too. It was like going to a music concert or sporting event. There were GTC Paris T-shirts on the back of every chair and even a merchandise store.

Nvidia GTC in Paris on 11 June 2025

Arjun Kharpal

The aura of Huang really struck me when, after a question-and-answer session with him and a room full of attendees, most people lined up to take pictures or selfies with him.

Macron and Starmer both wanted to be seen on stage with him.

Nvidia positions itself as Europe’s AI hope

Nvidia’s key product is its graphics processing units (GPU) that are used to train and execute AI applications.

But Huang has positioned Nvidia as more than a chip company. During the week, he described Nvidia as an infrastructure firm. He also said AI should be seen as infrastructure like electricity.

His pitch to all countries was that Nvidia could be the company that will help countries build out that infrastructure.

“We believe that in order to compete, in order to build a meaningful ecosystem, Europe needs to come together and build capacity that is joint,” Huang said during a speech at the Viva Tech conference in Paris on Wednesday.

Jensen Huang, CEO of Nvidia, speaks during the Viva Technology conference dedicated to innovation and startups at Porte de Versailles exhibition center in Paris, France, June 11, 2025.

Gonzalo Fuentes | Reuters

One of the most significant partnerships announced this week is between French startup Mistral and Nvidia to build a so-called AI cloud using the latter’s GPUs.

Huang spoke a lot during the week about “sovereign AI” — the concept of building data centers within a country’s borders that services its population rather than relying on servers located overseas. Among European policymakers and companies, this has been an important topic.

Huang also heaped praise on the U.K., France and Europe more broadly when it came to their potential in the AI industry.

China still behind but catching up

On Thursday, Huang decided to do a tour of Nvidia’s booth and I managed to catch him to get a few words on CNBC’s “Squawk Box Europe.”

A key topic of that discussion was China. Nvidia has not been able to sell its most advanced chips to China because of U.S. export controls and even less sophisticated semiconductors are being blocked. In its last quarterly results, Nvidia took a $4.5 billion hit on unsold inventory.

I asked Huang about how China was progressing with AI chips, in particular referencing Huawei, the Chinese tech giant that is trying to make semiconductor products to rival Nvidia.

Huang said Huawei is a generation behind Nvidia. But because there is lots of energy in China, Huawei can just use more chips to get results.

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

“If the United States doesn’t want to partake, participate in China, Huawei has got China covered, and Huawei has got everybody else covered,” Huang said.

In addition, Huang is concerned about the strategic importance of U.S. companies not having access to China.

“It’s even more important that the American technology stack is what AI developers around the world build on,” Huang said.

Just reading between the lines somewhat — Huang sees a world where Chinese AI tech advances. Some countries may decide to build their AI infrastructure with Chinese companies rather than American. That in turn could give Chinese companies a chance to be in the AI race.

Quantum, robotics and driverless is the future

Nvidia boss Jensen Huang delivers a speech on stage talking about robotics.

Arjun Kharpal | CNBC

During his keynote at GTC Paris on Wednesday, he also address quantum computing, saying the technology is reaching “an inflection point.”

Quantum computers are widely believed to be able to solve complex problems that classic computers can’t. This could include things like discovering new drugs or materials.

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