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Data brokers have long operated in the shadows of the internet, quietly amassing unprecedented amounts of personal information on billions of people across the globe, but few realize just how deep this data collection really goes.

In an age where every move you make online — every click, every purchase, every “like” — is meticulously harvested, packaged, and sold for profit, aggregated personal data has become a valuable commodity, and the global data broker industry is proof of that.

The rise of artificial intelligence tools poses the risk of even more personal information being scraped from the internet and an already opaque world of data brokering becoming even more aggressive, and that is heightening data privacy concerns. A 2023 study from Pew Research found that the American public increasingly says it does not understand what companies do with their data. According to Pew, 67% of Americans say they “understand little to nothing about what companies are doing with their personal data, up from 59% in its previous survey on the subject in 2019. A majority of Americans (73%) think they have “little to no control” over what companies do with their data.

Many people are unaware that something as simple as their phone number can be used by data brokers and bad actors to uncover highly sensitive information, including a Social Security number, address, email, and even family details, said Arjun Bhatnagar, co-founder and CEO of Cloaked, an app that disguises your personal information by generating a unique “identity” for each online account you have.

According to Roger Grimes, an expert at cybersecurity education firm KnowBe4, while many data brokers —especially the more well-known players — sell information responsibly, some of the smaller, unknown brokerages skirt regulations, push ethical boundaries, and exploit data in ways that can lead to misuse or harm. This is partly due to the hazy regulation landscape around data brokerage, which makes it easier for these practices to go unchecked.

Some of the largest providers of data brokerage services include Experian, Equifax, TransUnion, LexisNexis, Epsilon (formerly Acxiom), and CoreLogic, according to a ranking from OneRep, an online personal data management service. People-search services Spokeo and Intelius are also among the top data brokers, according to OneRep. These companies operate across multiple industries, handling both publicly available information and more sensitive consumer data. They offer various services, ranging from marketing analytics to credit scoring and background checks, and all of them have processes for requesting your data or asking for it to be deleted. However, depending on the state you live in, they may not have to comply.

Experian, Equifax and TransUnion are a good place to begin to understand how much the data industry has grown. While many consumers know these companies for their credit services, those are now just one piece of the revenue pie, with broader digital marketing of data increasingly important, according to Jeff Chester, founder and executive director of the Center for Digital Democracy, a Washington, D.C.,-based consumer privacy advocate. And data collection spans much farther across the economy, with companies from grocery stores offering discount programs to streaming video services amassing data that others will pay for. “Today, everyone is a data broker. Having the ability to reach someone online and target has become a core part of business,” Chester said.

“I try to lock down everything as much as I can, but I’m also aware that even though I’m a security expert, I’m probably overexposed,” said Bruno Kurtic, president and CEO of data security firm Bedrock Security.

As a basic step to limit financial risks, he recommends that all individuals freeze their credit reports as a proactive measure against identity theft and to prevent malicious actors from opening new accounts or loans in their name.

Inside data brokers’ massive vault

Cybersecurity experts estimate that data brokers collect an average of 1,000 data points on each individual with an online presence.

“It behooves them to collect as much as humanly possible about you, because the larger the information pool about you and the more specific they can get, the higher the cost of that data,” said Chris Henderson, senior director of threat operations at Huntress, a cybersecurity company founded by former National Security Agency personnel.

Here’s a breakdown of the types of information data brokers typically collect, according to privacy experts interviewed by CNBC:

  • Basic identifiers. Full name, address, phone number, and email.
  • Financial data. Credit scores and payment history.
  • Purchase history. What you search for online, what you buy, where you buy it, and how often you buy certain products.
  • Health data. Your medications, medical conditions, and your interactions with health-related apps or websites.
  • Behavioral data. Insights into your likes, dislikes, and the types of ads you’re likely to click on.
  • Real-time location data. GPS data from apps that track your commute, where you shop, and how often you visit certain places.
  • Inferred characteristics. Based on you’re your browsing and media consumption — the websites you visit, articles you read, videos you watch, data brokers draw insights about your lifestyle, income, preferences, religious or political beliefs, hobbies, and even your likelihood of charitable giving.
  • Relationships with family, friends, and colleagues. By analyzing your network of friends, followers, and connections on social media and messaging apps, data brokers can map out your relationships and even track how frequently you interact with certain individuals to determine the depth of your bonds.

Little oversight around data privacy

The lack of comprehensive regulation around data privacy allows data brokers to operate with little oversight, unlike the General Data Protection Regulation (GDPR) in the European Union.

“There is no comprehensive federal privacy law that specifically regulates the industry, which makes it hard to combat them,” said Chelsea Magnant, adjunct instructor of cyber leadership at NYU’s Center for Global Affairs and a director at corporate consulting firm Brunswick. “We essentially have a patchwork of state laws with varying privacy protections that these companies know how to navigate.”

California was the first to enact comprehensive legislation in 2018 with the California Consumer Privacy Act, giving residents more control over their personal data. In 2020, California voters approved an expansion of the CCPA, called the California Privacy Rights Act, which took effect in 2023. It offers the most extensive protections in the U.S., including data correction, limiting the use of sensitive information, and requiring businesses to honor opt-out preference signals. It also imposes stricter data-protection obligations on companies, such as minimizing data collection.

Since then, about 20 other U.S. states have followed suit; however, the specific rights and thresholds for which companies must comply vary widely between states.

“Different states have different business environments, economies, and viewpoints. This lack of a unified approach, something that protects all citizens across the country, leaves us vulnerable to data brokers,” said Rob Hughes, chief information security officer at RSA.

Even in states where the privacy laws are strict, there is skepticism that smaller companies on the margins of the data brokerage industry will follow them. “They have extremely sensitive data sets under their management, and they have to essentially behave like the most sensitive enterprises. And we know that some of these data brokers just don’t operate businesses like that,” Kurtic said.

How to take control of your data

To start protecting your privacy, it’s important to rethink how much personal information is shared on a daily basis, says Cloaked’s Bhatnagar. While we can’t fully hide, consumers need to develop new habits and tools to limit what we expose, from turning off permissions that track your location to saying no to cookies and refraining from posting personal details online. Additionally, using tools like secure browsers, VPNs, and tracker blockers can help.

Some of the largest technology companies in our daily lives, such as Apple, are continually updating and adding to privacy options, such as on the new iPhone and latest iOS update.

An Equifax spokeswoman said U.S. consumers can opt out of their personal information being shared in accordance with U.S. state privacy laws. On average, she said, opt-out requests made through the Equifax Privacy Preference Center are processed in less than one business day and consumers are informed of a successful submission through the company’s Preference Center. Consumers can also review the types of third-parties that companies such as Equifax share personal data within its privacy section.

Opt-out links and instructions are readily available for most of the major data brokers:

But data privacy experts says reclaiming or deleting your data from brokers can be a deliberately complex process that is not only time-consuming but frustrating. Each broker has its own opt-out requirements, and even after you’ve removed your data, it often reappears, sourced from other places.

“Removing your data from their systems impacts their bottom line, so they are disincentivized to make this easy for you,” said Henderson. “Ultimately, if you remove the information, they can’t sell that. So the more people who request their information be removed, the less attractive of a broker they are to the advertisers.”

There are data-removal services, such as DeleteMe, Kanary, OneRep, and PrivacyDuck, which charge a fee to manage these ongoing tasks, and are becoming increasingly popular. In October, Consumer Reports launched Permission Slip, a free app that helps you control which companies can collect, store and sell your personal data. It relies on donations to keep it going, either through the app or the Consumer Reports website.

For those opting for the DIY approach, here’s what the data privacy experts interviewed by CNBC recommend to get started:

Identify the brokers collecting your data. As already stated, this can be a daunting task, as many operate behind the scenes. However, there are a few methods you can use to track them down, says Henderson. One is to conduct a Google search using your name, phone number, and email address and see which brokers pop up. You’ll most likely find your name on sites like Spokeo, Whitepages, or MyLife. Another strategy is to visit the websites of the largest data brokers and search your information.

Submit opt-out requests. If you live in a state with data privacy regulations, you can submit a request to delete your data on the opt-out page of these companies’ websites, including at the links listed above, so they cannot share your data with third-party companies. It’s important to note that each broker may have different processes for handling these requests and state laws vary when it comes to what types of data are covered. Some data brokers may also require you to provide identification or verify your identity.

Check your results. After submitting opt-out requests, revisit the data brokers’ sites periodically to ensure your data has been removed. It may take several weeks or months for your request to be processed.

Engage in digital hygiene practices. Regularly reviewing and updating your online security practices is essential. Secure passwords, two-factor authentication, and encryption tools can help protect your information. Using virtual identities, such as alternative email addresses and phone numbers, can further safeguard your personal information.

Seek legal recourse if necessary. If a data broker refuses to comply with a deletion request, you may be able to file a formal complaint with regulatory authorities such as the Federal Trade Commission, which has brought cases against the industry.

However, it’s important to understand that not every state provides the same level of protection. Consult a privacy attorney if you believe your rights have been violated.

‘The future is unfortunately dark’

Experts say deleting the data is an imperfect solution, “a Band-Aid to address a gaping wound,” according to Chester.

“Consumers have been placed in a bad position,” he said. “Data is now a form of payment,” he added, referring to cases where the consumer wants a discount in the grocery store or pharmacy. “This is a comprehensive privacy problem which requires Congress or the FTC. The idea an individual can take care of their privacy … you can shut down a tiny bit of it, but you would need to spend a great deal of time, and once you opt-in to get a discount at a store, it all starts over again.”

The future of the data broker industry looks both promising and troubling as technological advancements continue. Javad Abed, assistant professor of information systems at Johns Hopkins Carey Business School, warns that data brokers will continue to evolve as AI and machine learning advance.

“With AI, data brokers will create even more detailed and predictive profiles, incorporating everything from biometric data to behavioral tracking,” Abed said. “The problem will increase, and things are going to become more complicated.”

Abed sees potential in blockchain and privacy-enhancing technologies, which could disrupt the data brokerage model by increasing transparency and giving individuals more control over their digital identities. However, he remains skeptical: “The future is unfortunately dark. It needs to be collaborative work. I don’t see the motivation right now from the main actors for a collaborative change.” 

“Telling our grandmothers or a child to configure settings on their social media and their browsers and search engines is not a winning proposition,” Kurtic said. “It’s going to take a combination of regulation, technology on the vendor side, and know-how on our own personal side.”

Until regulation steps in, data brokers will continue to collect as much data as possible. “These are revenue streams for companies that might not have other recurring revenue streams,” Henderson said. “And given there’s no regulation stopping businesses from selling information about you, I don’t see the practice stopping, especially given how lucrative it is.”

The rising tide of real estate cyber crime

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Global investors battle between long- and short-term wins amid Nvidia volatility

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Global investors battle between long- and short-term wins amid Nvidia volatility

Global investors are bracing for a battle between long and short-term wins amid a dramatic sell-off in artificial intelligence-related stocks. 

AI darling Nvidia buoyed an otherwise deflated market when it reported strong earnings after the bell on Wednesday, sending its own stock soaring and carrying related names alongside it. However, the rally quickly reversed on Thursday with Nvidia ultimately ending the trading session 3% lower.  

While the U.S. chipmaker’s earnings initially appeared strong enough to quell concerns over an AI bubble, economic speculation put global investors back on the defensive as hopes dimmed of a December rate cut by the Federal Reserve. The U.K.’s hotly anticipated Autumn Budget is also expected next week.  

Asia-Pacific markets fell Friday, led by tech heavyweight SoftBank, which plunged more than 10%. European stocks followed suit with a negative open. Stateside, however, appetite may have already reversed – again – as futures rose.  

“I think the market is quite confused as to why this is happening,” Ozan Ozkural, founding managing partner at Tanto Capital Partners, told CNBC’s “Squawk Box Europe” on Friday.  

Biggest single-day U.S. stock market swing since April

Market moves this year have been driven by sentiment, momentum, AI and innovation, “with sprinkles of geopolitical risk,” he said. “Although we haven’t got a specific reason why there has been a sell-off on the back of the strong Nvidia results, to me it’s not that surprising, because [it’s] only a matter of time until sentiment just shifts, because we just live in a much more uncertain world.” 

There also doesn’t need to be a catalyst, he added. However, the “most dangerous place we can be at” is a sustained sell-off, even if it’s a slow burn, Ozkural warning, noting that this could lead portfolio managers to lock in gains and cash out.  

Asset managers are driven by compensation cycles which is why they don’t like to hedge their bets, he said. “No one cares about the long term. Everyone is dead in the long term. No one even cares about the medium term. It’s all about short term cycles,” he said.  

“But the reality is, it’s year end, people need to get paid their bonuses, and it doesn’t pay to be bearish unless we see a sustained level of a sell-off.”  

Investors with cash in an AI ETF or index may be cashing out due to a mixture of year-end risk management and continued concerns over an AI bubble. Those who may have made a lot of money on the back of the AI trade will probably want to step back and sell, said Stephen Yiu, investment chief at Blue Whale Growth Fund, which has a position in Nvidia.  

The market is quite confused by sell-off, says Tanto Capital

However, for Julius Bendikas, European head of macro and dynamic asset allocation at Mercer, “it’s the battle between the solid fundamentals and questions being raised about multiples and maybe positioning getting a touch stretched.”

Despite solid fundamentals and earnings exceeding expectations, Bendikas told CNBC’s “Europe Early Edition” that investors are now starting to question whether the price is right and have started to sell as a result.

On technicals, “arguably, a lot of people have rushed into equities,” he said, noting that a recent Bank of America survey found cash levels are low. “So people have been quite long equities, maybe too long equities. And I think what we’ve seen yesterday is the valuations and technicals [narrative] overpowering the fundamental narrative, which came in quite strong post the Nvidia earnings overnight, a day ago.”

Nick Patience, AI lead at The Futurum Group, added: “Investors are also concerned about the circular nature of deals between Nvidia and other ecosystem players, questioning whether massive capital expenditures from hyperscaler customers represent sustainable demand.”

Fed rate cut

The moves may also reflect economic pressure. “The [Thursday] afternoon decline coincided with some negative macroeconomic signals in the form of the delayed September jobs report released in the morning that showed the US economy added 119,000 jobs – more than the expected 50,000 – but the unemployment rate rose to 4.4%, the highest level since October 2021,” Patience said.

The last bit of big news the market is expecting is the Fed’s December rate decision; investors had anticipated a cut but are now split on whether it will happen.  

The central bank opting to not cut rates is “not an issue,” Yiu said, but could lead investors who had expected it to cut, to pause and recalibrate ahead of next year.  

“I think people just want to probably lock in and derisk, and take a break from [President Donald] Trump as well, who knows what Trump is going to next,” he added.  

Amid the hype, it’s difficult to work out the AI winners and losers, Yiu said, but he expects a differentiation between the companies investing in AI and those on the receiving end of that cash, which he called AI infrastructure. As the market shakes out, Yiu is placing his bets on the latter.  

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Foxconn highlights growing AI ambitions at ‘Tech Day’ as it grows beyond iPhone assembler identity

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Foxconn highlights growing AI ambitions at 'Tech Day' as it grows beyond iPhone assembler identity

The entrance to a Foxconn construction site in Mount Pleasant, Wisconsin, in May 2019.

Katie Tarasov | CNBC

Foxconn showcased its push into artificial intelligence at its annual ‘Hon Hai Tech Day’ in Taiwan on Friday, underscoring the world’s largest contract manufacturer’s efforts to evolve beyond its role as the biggest assembler of Apple’s iPhones. 

The company, officially known as Hon Hai Precision Industry Co., has also become a major player in the AI hardware space, with its event taking place the same day it announced a partnership with ChatGPT maker OpenAI. 

OpenAI CEO Sam Altman, in a video statement streamed at the event, said that the two firms would “share insight into emerging hardware needs across the AI industry.”

He added that Foxconn would use those insights to design and prototype new equipment that could be manufactured in the United States.

The partnership will center on Foxconn’s server business, which earlier this year became its largest revenue driver and helped drive record profit in the September quarter.

Describing Foxconn and OpenAI as “natural partners,” Kirk Yang, an adjunct finance professor at National Taiwan University, told CNBC, “OpenAI needs strong partners, not only to manufacture products, but to quickly introduce all the products to the market.”

“So I think it makes perfect sense for OpenAI to work with Foxconn. And Foxconn is probably the strongest partner that open AI can find,” he added.

Hon Hai shows off AI capabilities at Tech Day

Foxconn also announced a partnership with Intrinsic, a unit of Alphabet to build so-called “artificial intelligence factories.” 

The Taiwanese manufacturer highlighted deeper work with Nvidia as well, showcasing its compute trays for the chip designer’s cutting-edge Blackwell chips.

Speaking at the Friday event, Alexis Bjorlin, vice president and general manager of Nvidia’s DGX Cloud unit, said the partners would work on deploying advanced AI infrastructure much faster to meet customer demand.

AI hardware orders have surged this year, with Nvidia beating third-quarter expectations on Wednesday and providing a strong forecast for the current quarter.

Despite Nvidia’s results showing that demand for AI hardware remains strong, concerns persist in the market about a potential AI bubble and the sustainability of heavy AI spending. 

Speaking to CNBC’s Emily Chan on the sidelines of Hon Hai Tech Day, Foxconn Chairman Young Liu expressed confidence that the company would be protected from a potential AI bubble.

“No matter what [AI] models or [AI] model players will win, they all need hardware, and no matter what GPU player will win, they all need system and component suppliers to support them,” he said.

— CNBC’s Emily Chan contributed to this report

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SoftBank sinks over 10% as Nvidia-fueled rout sweeps Asian chip names

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SoftBank sinks over 10% as Nvidia-fueled rout sweeps Asian chip names

The logo of Japanese company SoftBank Group is seen outside the company’s headquarters in Tokyo on January 22, 2025. 

Kazuhiro Nogi | Afp | Getty Images

A sector-wide pullback hit Asian chip stocks Friday, led by a steep decline in SoftBank, after Nvidia‘s sharp drop overnight defied its stronger-than-expected earnings and bullish outlook.

SoftBank plunged more than 10% in Tokyo. The Japanese tech conglomerate recently offloaded its Nvidia shares but still controls British semiconductor company Arm, which supplies Nvidia with chip architecture and designs.

SoftBank is also involved in a number of AI ventures that use Nvidia’s technology, including the $500 billion Stargate project for data centers in the U.S.

South Korea’s SK Hynix fell nearly 10%. The memory chip maker is Nvidia’s top supplier of high-bandwidth memory used in AI applications. Samsung Electronics, a rival that also supplies Nvidia with memory, fell over 5%. 

Taiwan Semiconductor Manufacturing Company, the world’s largest contract chipmaker and manufacturer of Nvidia’s chip designs, was down over 4% in Taipei. 

Taiwan’s Hon Hai Precision Industry, also known as Foxconn, which manufactures server racks designed for AI workloads, dipped 4%.

The retreat in major Asian semiconductor giants comes after Nvidia fell over 3% in the U.S. on Thursday, despite beating Wall Street expectations in its third-quarter earnings the night before. 

The company also provided stronger-than-expected fourth-quarter sales guidance, which analysts said could lift earnings expectations across the sector. 

However, smaller chip players in Asia were not spared either.

In Tokyo, Renesas Electronics, a key Nvidia supplier, fell 2.3%. Tokyo Electron, which provides essential chipmaking equipment to foundries that manufacture Nvidia’s chips, was down 5.32%. 

Another Japanese chip equipment maker, Lasertec, was down over 3.5%.

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