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The Microsoft 365 website on a laptop arranged in New York, US, on Tuesday, June 25, 2024. 

Bloomberg | Bloomberg | Getty Images

The beginning of the year is a great time to do some basic cyber hygiene. We’ve all been told to patch, change passwords, and update software. But one concern that has been increasingly creeping to the forefront is the sometimes quiet integration of potentially privacy-invading AI into programs.   

“AI’s rapid integration into our software and services has and should continue to raise significant questions about privacy policies that preceded the AI era,” said Lynette Owens, vice president, global consumer education at cybersecurity company Trend Micro. Many programs we use today — whether it be email, bookkeeping, or productivity tools, and social media and streaming apps — may be governed by privacy policies that lack clarity on whether our personal data can be used to train AI models.

“This leaves all of us vulnerable to uses of our personal information without the appropriate consent. It’s time for every app, website, or online service to take a good hard look at the data they are collecting, who they’re sharing it with, how they’re sharing it, and whether or not it can be accessed to train AI models,” Owens said. “There’s a lot of catch up needed to be done.”

Where AI is already inside our daily online lives

Owens said the potential issues overlap with most of the programs and applications we use on a daily basis.

“Many platforms have been integrating AI into their operations for years, long before AI became a buzzword,” she said. 

As an example, Owens points out that Gmail has used AI for spam filtering and predictive text with its “Smart Compose” feature. “And streaming services like Netflix rely on AI to analyze viewing habits and recommend content,” Owens said. Social media platforms like Facebook and Instagram have long used AI for facial recognition in photos and personalized content feeds.

“While these tools offer convenience, consumers should consider the potential privacy trade-offs, such as how much personal data is being collected and how it is used to train AI systems. Everyone should carefully review privacy settings, understand what data is being shared, and regularly check for updates to terms of service,”  Owens said.

One tool that has come in for particular scrutiny is Microsoft’s connected experiences, which has been around since 2019 and comes activated with an optional opt-out. It was recently highlighted in press reports — inaccurately, according to the company as well as some outside cybersecurity experts that have taken a look at the issue — as a feature that is new or that has had its settings changed. Leaving the sensational headlines aside, privacy experts do worry that advances in AI can lead to the potential for data and words in programs like Microsoft Word to be used in ways that privacy settings do not adequately cover.

“When tools like connected experiences evolve, even if the underlying privacy settings haven’t changed, the implications of data use might be far broader,” Owens said. 

A spokesman for Microsoft wrote in a statement to CNBC that Microsoft does not use customer data from Microsoft 365 consumer and commercial applications to train foundational large language models. He added that in certain instances, customers may consent to using their data for specific purposes, such as custom model development explicitly requested by some commercial customers. Additionally, the setting enables cloud-backed features many people have come to expect from productivity tools such as real-time co-authoring, cloud storage and tools like Editor in Word that provide spelling and grammar suggestions.

Default privacy settings are an issue

Ted Miracco, CEO of security software company Approov, said features like Microsoft’s connected experiences are a double-edged sword — the promise of enhanced productivity but the introduction of significant privacy red flags. The setting’s default-on status could, Miracco said, opt people into something they aren’t necessarily aware of, primarily related to data collection, and organizations may also want to think twice before leaving the feature on.

“Microsoft’s assurance provides only partial relief, but still falls short of mitigating some real privacy concern,” Miracco said.

Perception can be its own problem, according to Kaveh Vadat, founder of RiseOpp, an SEO marketing agency.

Having the default to enablement shifts the dynamic significantly,” Vahdat said. “Automatically enabling these features, even with good intentions, inherently places the onus on users to review and modify their privacy settings, which can feel intrusive or manipulative to some.”

His view is that companies need to be more transparent, not less, in an environment where there is a lot of distrust and suspicion regarding AI.

Companies including Microsoft should emphasize default opt-out rather than opt-in, and might provide more granular, non-technical information about how personal content is handled because perception can become a reality.

“Even if the technology is completely safe, public perception is shaped not just by facts but by fears and assumptions — especially in the AI era where users often feel disempowered,” he said.

OpenAI's Sam Altman: Microsoft partnership has been tremendously positive for both companies

Default settings that enable sharing make sense for business reasons but are bad for consumer privacy, according to Jochem Hummel, assistant professor of information systems and management at Warwick Business School at the University of Warwick in England.

Companies are able to enhance their products and maintain competitiveness with more data sharing as the default, Hummel said. However, from a user standpoint, prioritizing privacy by adopting an opt-in model for data sharing would be “a more ethical approach,” he said. And as long as the additional features offered through data collection are not indispensable, users can choose which aligns more closely with their interests.

There are real benefits to the current tradeoff between AI-enhanced tools and privacy, Hummel said, based on what he is seeing in the work turned in by students. Students who have grown up with web cameras, lives broadcast in real-time on social media, and all-encompassing technology, are often less concerned about privacy, Hummel said, and are embracing these tools enthusiastically. “My students, for example, are creating better presentations than ever,” he said.  

Managing the risks

In areas such as copyright law, fears about massive copying by LLMs have been overblown, according to Kevin Smith, director of libraries at Colby College, but AI’s evolution does intersect with core privacy concerns.

“A lot of the privacy concerns currently being raised about AI have actually been around for years; the rapid deployment of large language model trained AI has just focused attention on some of those issues,” Smith said. “Personal information is all about relationships, so the risk that AI models could uncover data that was more secure in a more ‘static’ system is the real change we need to find ways to manage,” he added.

In most programs, turning off AI features is an option buried in the settings. For instance, with connected experiences, open a document and then click “file” and then go to “account” and then find privacy settings. Once there, go to “manage settings” and scroll down to connected experiences. Click the box to turn it off.  Once doing so, Microsoft warns: “If you turn this off, some experiences may not be available to you.”  Microsoft says leaving the setting on will allow for more communication, collaboration, and AI served-up suggestions.

In Gmail, one needs to open it, tap the menu, then go to settings, then click the account you want to change and then scroll to the “general” section and uncheck the boxes next to the various “Smart features” and personalization options.

As cybersecurity vendor Malwarebytes put it in a blog post about the Microsoft feature: “turning that option off might result in some lost functionality if you’re working on the same document with other people in your organization. … If you want to turn these settings off for reasons of privacy and you don’t use them much anyway, by all means, do so. The settings can all be found under Privacy Settings for a reason. But nowhere could I find any indication that these connected experiences were used to train AI models.”

While these instructions are easy enough to follow, and learning more about what you have agreed to is probably a good option, some experts say the onus should not be on the consumer to deactivate these settings. “When companies implement features like these, they often present them as opt-ins for enhanced functionality, but users may not fully understand the scope of what they’re agreeing to,” said Wes Chaar, a data privacy expert.

“The crux of the issue lies in the vague disclosures and lack of clear communication about what ‘connected’ entails and how deeply their personal content is analyzed or stored,” Chaar said. “For those outside of technology, it might be likened to inviting a helpful assistant into your home, only to learn later they’ve taken notes on your private conversations for a training manual.”

The decision to manage, limit, or even revoke access to data underscores the imbalance in the current digital ecosystem. “Without robust systems prioritizing user consent and offering control, individuals are left vulnerable to having their data repurposed in ways they neither anticipate nor benefit from,” Chaar said.

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iPhone 17 goes on sale globally as Apple faces China rivals and AI doubts

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iPhone 17 goes on sale globally as Apple faces China rivals and AI doubts

A customer holds up the new orange-colored iPhone 17 Pro Max smartphone inside an Apple retail store in Chongqing, China, on September 19, 2025.

Cheng Xin | Getty Images News | Getty Images

The iPhone 17 hit store shelves worldwide on Friday, drawing lines from Beijing to London.

But beyond the launch buzz, Apple is under pressure to prove itself, grappling with questions over its artificial intelligence plans, as well as increasing competition. 

Products on display for the first time include the iPhone 17 Pro, iPhone 17 Pro Max, and iPhone Air, as well as new Apple Watch and AirPods models.

While they were available for preorders in the U.S. from Sept. 12, the global launch holds particular significance as Apple takes on growing competition in overseas markets. 

China competition

One of those markets is China, where customers waited for hours — and even overnight — to get their hands on the new iPhone 

First in line at the Apple flagship Store in Sanlitun, Beijing, this morning, was Liu — he did not wish to be identified by his full name — who told CNBC that he had been queuing since 11 p.m. local time Thursday for his chance to pick up the iPhone 17 Pro Max.

A customer shows off his new iPhone 17 at Apple’s Regent Street store on Sept. 19.

Arjun Kharpal | CNBC

He said he was excited about the smartphone’s new color and exterior design, which Apple says has improved the phone’s heat dissipation. 

Notably, Liu also said he has changed to Apple from Huawei in recent years, saying he preferred the iPhone for daily use and entertainment. 

Another person, who wished to be identified only by his surname, Yang — an erstwhile Xiaomi user — said he had been waiting to get his hands on the latest iPhone, preferring its operating system. 

First reactions as iPhone 17 hits London

Apple’s latest iPhone models are shown on display at its Regent Street, London store on the launch day of the iPhone 17.

Arjun Kharpal | CNBC

So far, the signs are positive for the iPhone 17 series in China. Last Friday, JD.com — one of China’s largest ecommerce platforms — saw the first minute of iPhone 17 series preorders surpass the first-day preorder volume of last year’s iPhone 16 series, the company reported

At 10 a.m. local time on Friday, JD.com said that iPhone 7 trade-in sales were four times higher than the same period last year.

Other markets 

In the much smaller but affluent market of Singapore, the redesigned iPhone 17s were also met with fervor, with long lines forming outside Apple outlets across the city. 

Iman Isa and Daniel Muhamed Nuv, two young professionals in Singapore, both queued for hours at Apple’s outlet in the city’s iconic Marina Bay mall to buy iPhone 17 Pros, which they said were their first new phones in years. 

Citing the fresh design, longer battery life and improved camera, they said the new phones offer enough to keep them loyal to the Apple ecosystem.

WSJ’s Tim Higgins: Apple is facing a situation similar to the one Microsoft faced a generation ago

People lined up outside Apple’s Regent Street, London store on Sept. 19 to get their hands on the latest iPhone 17.

Arjun Kharpal | CNBC

“For the last five years, I’ve been in a pattern of constantly upgrading my phone, because every year Apple is bringing something new to the table,” one customer, Jasmine, said. “I just love having that experience of Apple every year.”

Meanwhile, Michael, who described himself as a content creator, said he was drawn by the battery and camera.

“I thought about going for the [iPhone] Air, but I just don’t know whether or not the battery is going to be able to hold up. And that single camera? I don’t know, it’s just a little bit off-putting on the back,” he said of Apple’s thin iPhone 17 offering.

Apple intelligence 

A successful iPhone 17 launch could help reassure Apple investors after a somewhat underwhelming rollout of its artificial intelligence features, which began late last year.

Speaking to CNBC’s “Squawk Box Europe” last week, Ben Wood, chief analyst at CCS Insight, lauded Apple’s latest product launches but said the company now needed to deliver on artificial intelligence. 

'Apple need to deliver on AI': says analyst

“There is no question that Apple needs to deliver on AI,” he said, noting that the company had “dropped the ball” last year by making big promises that failed to materialize.

“Apple has to catch up [in AI], but right now, I think they’ve got enough runway to be able to cope in the intervening period.”

– CNBC’s Eunice Yoon contributed to this report

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Nvidia just spent over $900 million to hire Enfabrica CEO, license AI startup’s technology

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Nvidia just spent over 0 million to hire Enfabrica CEO, license AI startup's technology

Co-founder and chief executive officer of Nvidia Corp., Jensen Huang attends the 9th edition of the VivaTech trade show in Paris on June 11, 2025.

Chesnot | Getty Images Entertainment | Getty Images

Nvidia has just shelled out over $900 million to hire Enfabrica CEO Rochan Sankar and other employees at the artificial intelligence hardware startup, and to license the company’s technology, CNBC has learned.

In a deal reminiscent of recent AI talent acquisitions made by Meta and Google, Nvidia is paying cash and stock in the transaction, according to two people familiar with the arrangement. The deal closed last week, and Enfabrica CEO Rochan Sankar has joined Nvidia, said the people, who asked not to be named because the matter is private.

Nvidia has served as the backbone of the AI boom that began with the launch of OpenAI’s ChatGPT in late 2022. The company’s graphics processing units (GPUs), which are generally purchased in large clusters, power the training of large language models and allow for big cloud providers to offer AI services to clients.

Enfabrica, founded in 2019, says its technology can connect more than 100,000 GPUs together. It’s a solution that could help Nvidia offer integrated systems around its chips so clusters can effectively serve as a single computer.

A spokesperson for Nvidia declined to comment, and Enfabrica didn’t provide a comment for this story.

While Nvidia’s earlier AI chips like the A100 were single processors slotted into servers, its most recent products come in tall racks with 72 GPUs installed working together. That’s the kind of system inside the $4 billion data center in Wisconsin that Microsoft announced on Thursday.

Nvidia previously invested in Enfabrica as part of a $125 million Series B round in 2023 that was led by Atreides Management. The company didn’t disclose its valuation at the time, but said that it was a fivefold increase from its Series A funding.

Late last year, Enfabrica raised another $115 million from investors including Spark Capital, Arm, Samsung and Cisco. According to PitchBook, the post-money valuation was about $600 million.

Tech giants Meta, Google, Microsoft and Amazon have all poured money into hiring top AI talent through deals that resemble acquihires. The transactions allow the companies to bring in top engineers and researchers without worrying about the regulatory hassles that come with acquisitions.

The biggest such deal came in June, when Meta spent $14.3 billion on Scale AI founder Alexandr Wang and others and took a 49% stake in the AI startup. A month later, Google announced an agreement to bring in Varun Mohan, co-founder and CEO of artificial intelligence coding startup Windsurf, and other research and development employees in a $2.4 billion deal that also included licensing fees.

Last year, Google made a similar deal to bring in the founders of Character.AI. Microsoft did the same thing for Inflection, as did Amazon for Adept.

While Nvidia has been a big investor in AI technologies and infrastructure, it hasn’t been a significant acquirer. The company’s only billion-dollar-plus deal was for Israeli chip designer Mellanox, a $6.9 billion purchase announced in 2019. Much of Nvidia’s current Blackwell product lineup is enabled by networking technology that it acquired through that acquisition.

Nvidia tried to buy chip design company Arm, but that deal collapsed in 2022 due to regulatory pressure. In the past year, Nvidia closed a $700 million purchase of Run:ai, an Israeli company whose technology helps software makers optimize their infrastructure for AI.

On Thursday, Nvidia announced one of its most sizable investments to date. The chipmaker said it’s taken a $5 billion stake in Intel, and announced that the two companies will collaborate on AI processors. Nvidia also said this week that it invested close to $700 million in U.K. data center startup Nscale.

— Correction: A prior version of this story mistakenly included the name of a company as an investor in Enfabrica.

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Nvidia CEO: Delighted to work with Intel in 'great partnership'

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CrowdStrike pops nearly 13% on upbeat long-term guidance at investor day

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CrowdStrike pops nearly 13% on upbeat long-term guidance at investor day

CrowdStrike logo is seen in this illustration taken July 29, 2024.

Dado Ruvic | Reuters

CrowdStrike shares popped about 13%, a day after the cybersecurity firm issued better-than-expected long-term guidance at its investor day.

The company on Wednesday said it expects net new annual recurring revenues to grow at least 20% in 2027, ahead of analysts’ expectations. CrowdStrike plans for ARR to hit $10 billion by 2031, and then double to $20 billion by 2036.

Earlier this week, the firm said it was buying AI security platform Pangea and announced a partnership with Salesforce.

“CrowdStrike is by far the most advanced security platform in the industry, and the plethora of AI-based solutions announced today will further separate CrowdStrike from the competition,” wrote Wells Fargo analyst Andrew Nowinski in a note following the event.

Some Wall Street firms also boosted their price targets.

Read more CNBC tech news

Cybersecurity has taken center stage this year as businesses beef up security in the age of artificial intelligence. Many companies have harnessed AI tools to strengthen their offering as threats rise in sophistication.

This year’s biggest tech deals have included Google’s $32 billion acquisition of Israeli cybersecurity startup Wiz and Palo Alto Networks’ $25 billion CyberArk deal.

Cybersecurity firm Netskope hit the public market Thursday, while Thoma Bravo-backed SailPoint debuted earlier this year.

During its recent earnings report, CrowdStrike’s revenue guidance for the third quarter fell short of analysts’ expectations.

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CrowdStrike shares drop 8% despite quarterly beat

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