Incognito Mode Isn’t Doing What You Think It’s Doing
Private browsing, for one thing, may be giving holiday shoppers a false sense of privacy
Private browsing, for one thing, may be giving holiday shoppers a false sense of privacy
There is an urban myth that says online shoppers who doggedly search for certain items on the web get tagged by algorithms that then cause them to see higher prices than others shopping for those same items.
The solution for many people: They choose private mode on their web browsers, believing that cloaking their identity can help them get better prices.
But while such “private” settings as Google Chrome’s Incognito mode or Apple’s Safari private browsing mode do offer some benefits, getting a better price isn’t one of them.
“All these private modes do for shoppers is basically erase your search history from the device you’re on and prevent the browser from using your cookies to see your browsing activity across different sites,” says Benjamin Barrontine, vice president of executive services at 360 Privacy, a company that specializes in protecting clients’ digital identity. This is a great feature if you share a laptop with your children and you want to hide the presents you’re purchasing for them, but companies’ pricing is typically based on a number of factors—timing, location, how much an item in that category’s company paid to rise to the top of your search results—that don’t have to do with you personally or how often you search for a product.
A Google spokesperson confirms that cookies, or information stored on your device, are remembered in the current Chrome browsing session while in Incognito mode but then deleted immediately after closing out the session. If you return in Incognito mode to make the purchase, the websites will see you as a new user and won’t remember what you left in your cart. You essentially have to start your search anew, but with the benefit of blocking anyone who shares that device from seeing what you were researching.
Ultimately, experts say, private modes give shoppers a false sense of anonymity and a feeling that they are gaming the system, when all they are doing is hiding past searches. “You should know that your internet-service provider and even your network administrator at work, if you’re searching on a work device or network, may still see what you’re searching,” says Barrontine. “Private mode is not so private, after all.”
In fact, the big tech companies most likely know with near certainty who it is that is doing this supposedly secret searching, even in private mode.
“When you go on to Amazon.com in private mode and search for a bathrobe, even if you’re not logged into the site, Amazon is 99.9% sure of who you are because of the digital fingerprint they’ve developed for you over time,” says Ken Carnesi, chief executive and co-founder of DNSFilter, a software firm that protects companies from attacks at the domain name system level. That’s because Amazon would still know how you arrived at its site based on the link you clicked, your IP address, your ZIP Code, many of your preference settings and loads of other device-specific attributes. A company spokesman declined to comment.
The tech firms may not know that it is specifically you scouring their sites, but they’d know the search came from your home, which operating system you’re using, which language is your default and other details that point to you.
“That’s why, even when you’re not in private mode later on, if you didn’t close out that private window, you may still see bathrobes being pitched to you,” Carnesi says. “All the tracking is likely still passed through to the company who paid for the ad you clicked on.”
Contrary to popular belief, pricing for highly fluctuating, big-ticket items isn’t impacted by private searches, says Kevin Williams, an associate professor at the Yale School of Management who recently published a paper looking at airlines’ methods of dynamic pricing. Williams says in the case of plane tickets, “Airline pricing doesn’t take into account any of your personal information except location,” as in the country of origin. Using a virtual private network (VPN) can obfuscate your device’s physical location, and may turn up a better fare, but might require some trial and error, Williams says.
There are some additional benefits for shoppers to using private mode, beyond hiding your searches from prying eyes. The search bar won’t auto-fill with prior searches, so you can start anew every time you open a new private window and not fall down an old rabbit hole. You can keep your searches private on a public device or borrowed computer. And you can use a credit card that will later be wiped so your children won’t have access to funds without permission.
For true privacy, consider shopping through a search engine like Brave.com, which doesn’t ever track your searches or your clicks. “Unlike with other search engines, you and your data are not the product here,” Carnesi says. And your partner will never know about that bathrobe you forgot to actually purchase.
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Nvidia’s earnings will test Wall Street’s confidence in the AI boom.
Chip makers are fighting to assure investors that the artificial-intelligence boom is racing forward. Wall Street might not believe it until Nvidia’s NVDA -0.98%decrease; down pointing triangle Jensen Huang says so.
When Huang steps up to the mic for his company’s earnings call Wednesday, he will have the world’s attention. What he says about Nvidia’s present will preview the future of AI, dictate the path forward for a tech-crazed stock market and influence an American economy increasingly tethered to hopes that the boom won’t go bust.
The $5 trillion chip maker has provided the key building blocks for AI since the launch of ChatGPT in 2022 set off a race for dominance among OpenAI, Anthropic and established Silicon Valley giants. Now, as Nvidia backstops sprawling data-center projects and an exotic money pipeline to boost chip demand, the company’s influence is arguably bigger than ever.
But there are signs of trouble ahead. Political pushback to AI is growing. A bond selloff propelled borrowing costs to their highest levels in years. The hyperscalers that include some of Nvidia’s key customers—once cash-printing machines—are relying more on debt. OpenAI recently told investors its revenue rose by a tepid 18% in the second quarter while its losses deepened.
Nvidia is increasingly stepping in to shore up potential weak points across the market. Earlier this month, the company teamed up with six of Wall Street’s biggest firms on a $500 billion AI-financing plan, pledging to backstop lending to customers that can’t afford its chips otherwise. The chip maker last week also took a stake in Cloverleaf Infrastructure, which arranges power for data centers, and struck a $6 billion deal with startup Poolside aimed at developing a powerful open-weight AI model.
After watching shares in other chip makers and the so-called Magnificent Seven tech companies swing wildly in recent months, Wall Street is hoping Nvidia can beat expectations—again. The countdown is on.
“It’s kind of becoming more and more like the World Cup final than the Super Bowl at this point,” said Brian Mulberry, chief market strategist at Zacks Investment Management. “It’s just gotten to be that big.”
The company has smashed analysts’ earnings estimates for each of the 14 quarters since the AI boom kicked into high gear. Nvidia posted 210% annual growth in net income in its last three-month period, according to FactSet, making Wall Street’s 126% projection look pedestrian.
Expectations for a blowout second quarter have risen rapidly over the course of this year. All Nvidia will have to do to beat this target: outrun 95% annual earnings growth to more than $51.5 billion. Analysts project the chip maker will report record sales of $92 billion for the period, up from a forecast of $78 billion at the start of this year.
In July, big-tech earnings sparked volatility. Concerns about runaway capital spending spread across the sector after Alphabet’s and Tesla’s results, driving a $890 billion wipeout that contributed to the unwind of hedge fund Situational Awareness. Microsoft posted the largest one-day gain in market capitalization by any company, ever, after a quarter proving that it could still show investors the money. SpaceX rocketed higher after a record-breaking initial public offering, only to see $1 trillion in value evaporate.
Surging memory prices and borrowing costs have fueled fears that those and other companies will be unable to keep plowing more money into supplies including Nvidia chips. Shaia Hosseinzadeh, founder of OnyxPoint Global Management, has recently bought dips in AI-infrastructure stocks when Wall Street has strained to absorb massive debt issued by Silicon Valley.
“The macro data is really quite robust,” he said. “Of course, there’s a level at which everything breaks.”
Investors have kept pumping money into the AI trade despite concerns around chip consumers—and to the benefit of chip producers. That is why Nvidia’s outlook for semiconductor demand could send ripples through counterparts such as Micron Technology and Sandisk, developers of the data centers in which their chips reside, and a supply chain of power producers, contractors and other specialists that underpin the globe-spanning AI build-out.
“We joke internally that we’re all Nvidia analysts now,” said David Lefkowitz, head of U.S. equities at UBS Global Wealth Management.
The irony is that investors have tended to sell Nvidia stock immediately after blockbuster earnings, with shares falling each trading session after its four past quarterly reports. Some are betting that will be the case this time around, too.
The options market is pricing in a 5.3% swing, higher or lower, in Nvidia shares during the session following earnings, according to Option Research & Technology Services. That is higher than the 4.8% average move in Nvidia’s stock over the last 12 months after the company reports quarterly results.
In recent days, some of the most actively traded Nvidia options have been put contracts tied to the stock falling from its Friday value of $214.75 to $205 and $210 apiece, according to Cboe Global Markets data. Put options give the right to sell a stock by a set price and typically represent a bearish wager.
Many analysts remain optimistic. Frank Lee, global head of tech hardware and semiconductor research at HSBC Global Investment Research, recently raised his price target for Nvidia shares to $360 from $325, citing, among other things, Nvidia’s strategic partnerships with suppliers and its role as a top contributor to open-source AI.