Ever find something you want to buy online, leave it sitting in a browser tab and then completely forget where you saw it? Maybe you spotted a great pair of headphones while searching Google. Later, you found a birthday gift at another retailer. Before long, you've got a dozen tabs open and no idea which store had the better deal.

Google thinks it has a solution. On Oct. 15, the company began the U.S. rollout of Universal Cart, a new artificial intelligence-powered shopping tool that brings products from different retailers into one place. It also tracks prices, watches for restocks and helps you find savings before checkout.

With holiday shopping approaching, the timing could be especially useful. But there's another question worth asking. Will having everything in one cart help us spend less, or simply make it easier to buy more?

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What is Google Universal Cart?

Google Universal Cart is a shopping hub that works across Google Search and the Gemini app. Instead of keeping separate lists of products you might buy, you can save items from different retailers in one place. For example, you might find a coffee maker while searching Google and add it to your Universal Cart. Later, while talking with Gemini about gift ideas, you could save a pair of sneakers from another store. When you return, both products will be waiting for you. Google first previewed the tool in May 2026. Now, Universal Cart is rolling out to U.S. shoppers. It uses Google's Shopping Graph, which contains more than 60 billion continually refreshed product listings. That information helps the system monitor prices and availability across supported products.

4 ways Google's new AI shopping cart can help you save

The biggest attraction here is convenience. But Google has added several features that could also help you avoid paying more than necessary.

1. Keep products from different stores in one cart

Shopping online often means bouncing between websites. You find something at Target, check another item at Walmart and then head to Sephora for a gift. Remembering where you saw everything can become a chore. Universal Cart lets you save supported products you discover through Google Search and Gemini. More importantly, your saved items stay together when you return to shopping. That could come in handy when you're shopping for several people or making a big purchase that requires some research. You can keep your options organized without committing to buying anything right away.

2. Get alerts when prices drop or products return

Here's the feature I find particularly interesting. Universal Cart can monitor saved products and notify you when a price drops. It can also alert you when something that sold out becomes available again. Suppose you're considering a new television but aren't ready to spend the money. Rather than checking the same retailer every morning, you can save it and let Google's shopping system watch for changes. The alerts could be especially helpful heading into Black Friday and the holiday shopping season. Still, remember that a price reduction doesn't automatically guarantee the lowest price available.

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3. Find promo codes and credit card savings

This is where Google's AI starts doing some extra work. Universal Cart can surface relevant promotional codes and consider benefits associated with your payment cards. Let's say you have multiple credit cards but can't remember which one offers better rewards at a particular retailer. Universal Cart uses information from Google Wallet to understand supported credit card benefits and help you choose between payment methods. It can also show relevant promotional codes directly in your cart, potentially helping you find savings you might otherwise miss. However, I would still check the details before choosing a card. Rewards programs come with conditions, and the highest points offer may not always translate into the greatest savings.

4. Check out without starting over

Once you're ready to buy, Universal Cart offers a more streamlined checkout experience with participating retailers. In some cases, you can complete the purchase using Google Pay directly from the cart. Alternatively, Google can transfer your selected items to the retailer's website so you can finish your order there. Google says its simplified checkout experiences include retailers such as Nike, Sephora, Target, Ulta Beauty, Walmart and Wayfair, along with many Shopify merchants. However, the available checkout options depend on the retailer. Either way, the retailer remains the seller of record and handles order confirmations and customer support. That means you'll continue dealing with the merchant for delivery questions or returns.

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How to get started with Google Universal Cart

Google began rolling out Universal Cart to U.S. users on Oct. 15. The feature works across Google Search and the Gemini app, although availability may vary as the rollout continues. To explore it, open Google Search or Gemini and look for products you're interested in buying. When Universal Cart becomes available in your shopping experience, you can save supported products from different retailers. Google says those items will remain in your cart when you return, allowing you to pick up where you left off. You can also use the cart to monitor price changes, discover promotional offers and review available checkout options. However, Google hasn't provided a single set of instructions that applies to every device. The appearance and placement of these features may vary.

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Does Google's Universal Cart work with every retailer?

Not necessarily. Google says Universal Cart can organize products across retailers, but that doesn't mean every online store supports every feature. The products you can save depend on supported shopping experiences. Meanwhile, checkout options vary depending on the merchant. Some purchases can happen through Google Pay in the cart, while others require you to finish on the retailer's website. Google originally introduced Universal Cart in May with plans to bring it to Search, Gemini, YouTube and Gmail. However, its October 15 launch announcement specifically confirms availability across Search and Gemini in the U.S. Google has not announced a confirmed launch date for Universal Cart integration with Gmail or YouTube.

What's powering Google's new shopping experience?

Behind the scenes, Google uses something called the Universal Commerce Protocol, or UCP. It's a shared technical standard designed to help AI-powered shopping tools communicate with retailers and payment systems. For shoppers, the technical details are less important than what they make possible. UCP helps Google connect product discovery with checkout, reducing the need to jump between different shopping experiences. Google has also been expanding AI shopping beyond the cart. Its Let Google Call feature, for example, can use AI to contact nearby stores and check product availability. Amazon has been developing AI-powered shopping tools, while OpenAI offers AI agents that can assist with shopping-related tasks. The competition to become your digital shopping assistant is heating up.

What about your shopping privacy?

Having Google organize your shopping could be convenient, especially if you already use Search and Gemini. Still, it's worth considering how much shopping information you're comfortable keeping within your Google account. Universal Cart uses Google Wallet to help identify supported payment benefits and relevant offers. However, Google's launch announcement doesn't provide detailed information about how long Universal Cart shopping data is retained or exactly how it may be used for advertising. Before relying on the feature, review your Google account's privacy settings and Google's published privacy policies. For now, I would avoid assuming that adding something to Universal Cart keeps that shopping interest private. And if you're buying a surprise gift for someone who shares access to your Google account, think twice before saving it there. Of course, the usual online shopping precautions still apply. Before completing a purchase, check the final price and verify that you're buying from a legitimate seller. A familiar checkout experience shouldn't replace those basic habits. For more help spotting suspicious sellers, see our guide on how to tell whether an online store is real or a scam.

Kurt's key takeaways

I like the idea of having one place to keep track of everything I'm considering buying, especially when the holidays roll around. The price alerts could be genuinely helpful. And if Google's AI can find a discount code I would have otherwise missed, I'm all for it. But I'm also watching where this is heading. Google is making shopping increasingly convenient, and that convenience can be a double-edged sword. When a company knows what you're interested in buying and makes checkout easier, there's less time to reconsider a purchase. My advice? Use Universal Cart to do your homework and save money. Just don't let the technology do the deciding for you.

Would you trust Google's AI to help you shop and choose how to pay, or are we giving tech companies too much influence over what we buy? Let us know by writing to us at CyberGuy.com.

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FIRST ON FOX: The U.S. Navy is quadrupling the ceiling on a contract for AI-powered robots used to inspect warships to $300 million.

Just six months after initially tapping the technology to help get ships through maintenance and back to sea faster, the expanded agreement with Pittsburgh-based Gecko Robotics underscores the importance the U.S. military is putting on tech-based solutions. The initial ceiling for the deal was $71 million, but the Navy is pushing to improve fleet readiness amid a widening shipbuilding gap with China.

"While the U.S. may not be able to out-manufacture faster than China, we can outsmart the ways that we maintain, operate and are ready with our vessels," Gecko Robotics CEO Jake Loosararian told Fox News Digital.

Gecko says its technology can save the Navy up to $8 million in repair costs on a single ship and identify some structural issues up to 50 times faster than traditional inspection methods.

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The company is also unveiling a new robot developed specifically for the Navy that can inspect the steel beneath thick coatings on warship decks without first stripping them away.

Dubbed Komodo, the robot scans a ship's deck to map corrosion and material thickness, giving maintenance crews a picture of what needs to be repaired before more invasive work begins.

"It's essentially a CAT scan," Loosararian said. "You're basically understanding exactly what's going on."

Traditionally, determining the condition of steel beneath a ship's non-skid deck coating can require removing material before crews know the extent of the problem. Komodo is designed to gather that information without first taking the surface apart.

"The robots are able to actually understand what's wrong without having to take apart the ship to figure out what to fix," Loosararian said.

In another example cited by Loosararian, an assessment that initially called for roughly 1,200 square feet of repair work was narrowed to about 300 square feet after robotic inspections provided a more precise picture of the damage.

"You reduce and focus the kinds of repairs that you need," Loosararian said. "You're repairing less."

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The increased ceiling comes just six months after the Navy awarded Gecko a five-year, $71 million contract vehicle to expand the use of its robotic inspection technology across the fleet.

Under the initial agreement announced in March, Gecko was set to begin work on 18 ships in the U.S. Pacific Fleet, including destroyers, amphibious warships and littoral combat ships.

The company's wall-climbing robots crawl across hulls, flight decks, ballast tanks and other difficult-to-access areas, scanning for corrosion, metal loss and other structural problems. The data is fed into Gecko's AI-powered Cantilever platform to help maintenance planners determine where repairs are needed.

The goal is to find those problems earlier, before a ship enters a major maintenance period and crews discover additional work that can extend its stay in the shipyard.

"The biggest savings are just in speed," Loosararian said. "Speed — you can't put a price tag on it, especially if you're in the U.S. Navy right now."

The expansion comes as Navy leaders seek to push fleet readiness toward 80% while maintenance delays continue to sideline ships that would otherwise be available for deployment.

China already fields a larger battle force than the U.S. Navy and can produce vessels at a pace American shipyards cannot easily match. That has put additional pressure on the Pentagon to keep more of the ships already in the American fleet available for operations.

For Gecko, the longer-term goal is to move beyond finding existing damage and use years of inspection data to anticipate problems before they force ships into longer repair periods.

"You are able to predict exactly what's going to break before it does," Loosararian said, allowing maintenance planners to have workers, materials and repair plans ready when a ship reaches the pier or enters a shipyard.

The technology could also reduce the amount of dangerous and labor-intensive inspection work performed by shipyard workers as the industrial base struggles with shortages of skilled labor.

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Loosararian said the combination of robotics and AI is ultimately aimed at allowing a limited workforce to spend more time fixing ships and less time determining what needs to be fixed.

For a Navy racing to keep pace with a rapidly expanding Chinese fleet, he argued, getting more out of the ships already in the water could prove just as important as building new ones.

"While the U.S. may not be able to out-manufacture faster than China," Loosararian said, "we can outsmart the ways that we maintain, operate and are ready with our vessels."

America seems to be on the precipice of a future technological golden age. Whether we take steps toward that future could depend on which political vision prevails over the next few election cycles.

Speaking alongside President Donald Trump at the White House in September, Elon Musk predicted a world where artificial intelligence and advanced robotics create an "age of abundance." Musk suggests these technologies could eventually provide your average person with better medical care than what today’s wealthiest individuals enjoy.

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This optimistic vision aligns well with Trump’s repeated promises of a new American golden age. Yet, as his administration works to accelerate technological advancement, an increasingly influential wing on the far left appears determined to slam on the brakes.

Trump’s vision of a golden age

The Trump administration has made American leadership in artificial intelligence a cornerstone of its economic agenda. Through its AI Action Plan and executive orders, the administration has prioritized eliminating regulatory barriers, constructing data centers and expanding energy infrastructure necessary to power the AI revolution.

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Treasury Secretary Scott Bessent has argued that AI and automation could help create a new era of American manufacturing. In an interview from 2025, Bessent suggested that the advanced "smart factories" of tomorrow could overcome labor-cost issues, making manufacturing in the United States far more economically feasible.

Imagine a future in America where advanced robotics makes domestic manufacturing globally competitive, where AI leads to major medical breakthroughs and where technological innovation produces unprecedented economic prosperity.

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Of course, there are legitimate questions about how this societal transformation will unfold, but the potential benefits are incredible.

The far left wants to hit the brakes

While many in the Trump administration plan for a golden age, Vermont Independent Sen. Bernie Sanders and his fellow democratic socialists are promoting an entirely different future.

In March, Sanders and New York Democrat Rep. Alexandria Ocasio-Cortez proposed a nationwide moratorium on new data center construction until Congress establishes a sufficient regulatory system for the industry.

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These positions have quickly become commonplace for Democratic Socialists of America (DSA) activists and candidates. Many of these DSA-endorsed candidates support data center moratoriums and push these sorts of proposals at the state and local level.

But Sanders’ anti-AI sentiment goes way further. His American AI Sovereign Wealth Fund Act would effectively nationalize 50% of the AI industry, converting those stakes into a government-controlled fund. The plan would also include stacking the boards of these companies with federally picked appointees to influence corporate decisions.

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More recently, Sanders introduced legislation that would permanently prohibit the development of artificial superintelligence. This plan would establish a new federal AI agency and halt other advanced AI development until regulators approve continued efforts. Under this proposal, individuals who violate the research bans could face up to 20 years in federal prison.

Think about that. At a time when America is competing with China for technological supremacy, one of the country’s most prominent socialist politicians wants federal bureaucrats to target AI scientists with potential prison time for developing AI research it deems too advanced.

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The cost of standing still

To be sure, the AI revolution comes with many legitimate concerns that deserve conversation. Potential job displacement, privacy violations, algorithmic manipulation and the possible misuse of advanced AI are issues that will likely need to be addressed.

However, the consequences of deliberately suppressing technological innovation are rarely given equal attention.

Consider the potential benefits of AI-assisted drug discovery, which could lead to better treatments for cancer, Alzheimer’s and many other conditions. AI-enhanced robotics and logistics could transform manufacturing, increase agricultural output and help elderly and disabled Americans maintain their independence.

Imagine the lives and the industries that could be saved and the economic opportunities that could spring up from these technologies that we have only now begun to understand.

Under the far left’s proposals, we may never see these benefits materialize. Sanders says he is concerned that average Americans will be left behind in the AI revolution, but his proposed restrictions threaten to undermine the very innovations that could cause growth in societal prosperity.

China won’t be hitting the brakes

Perhaps the most concerning consequence of the far left’s vision is America’s geopolitical future.

Like America, China is also pursuing AI at breakneck speeds. While America has enjoyed a substantial lead in this race, the recent Stanford University 2026 AI Index showed the performance gap between American and Chinese models has effectively disappeared.

The proposals from Sanders and the far left to stall AI research and data center construction give the Chinese Communist Party opportunity to pull ahead in the AI race. If China were to take the lead in the AI race, America’s global status economically and geopolitically could be severely diminished.

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At the same White House meeting where Musk outlined his optimistic vision of the future, Trump warned that Chinese President Xi Jinping "will take every data center that we don’t want."

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The AI revolution carries great potential for increased prosperity unlike anything we have seen in our lifetime. It would be a historic tragedy if America surrendered that opportunity because our politicians were more afraid of technological progress than our geopolitical rivals.