
Amazon's (AMZN) Robotaxis Ready to Roll as NHTSA Grants Exemption
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This marks a key step for Zoox, which has always focused on building a unique self-driving shuttle with no pedals, no steering wheel, and seats that face each other. With the approval, Zoox can grow its business and start making up to 10,000 vehicles a year at its new factory in Hayward, California.
Importantly, the clearance strengthens Zoox's position as it prepares to launch its service and compete with rivals like Alphabet's (GOOGL) Waymo.
Approval Comes Under New Policy
The exemption is part of a change in U.S. policy. In April, the Department of Transportation expanded its Automated Vehicle Exemption Program to include domestically produced self-driving vehicles, not just ones imported.
It must be highlighted that as a condition of the approval, Zoox is required to 'remove or cover' any claims that its vehicles meet these specific federal safety rules. The NHTSA also closed its investigation into how Zoox certified its robotaxis, which started in March 2023.
What's Next for AMZN's Zoox
With this approval, Zoox can launch its robotaxi service later this year, starting in Las Vegas. It also plans to expand to big cities like San Francisco, Austin, Miami, Los Angeles, and Atlanta.
Similar to Waymo, Zoox has obtained permission to offer paid rides in California. Its vehicles use a full set of sensors, lidar, radar, thermal cameras, microphones, and regular cameras to safely navigate the roads.
Is Amazon a Buy, Hold, or Sell?
Turning to Wall Street, AMZN stock has a Strong Buy consensus rating based on 43 Buys and one Hold assigned in the last three months. At $264.21, the average Amazon stock price target implies a 24.83% upside potential.

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Android Authority
24 minutes ago
- Android Authority
Welcome to dystopia: I helped ChatGPT pass a CAPTCHA and doomscroll my Facebook
Calvin Wankhede / Android Authority Last week, OpenAI released what may be the most ambitious (and potentially controversial) update to ChatGPT since its launch: Agent mode. Unlike the standard conversational interface, Agent mode gives ChatGPT control over a virtual machine running Chrome, allowing it to interact with websites like a human would. It can identify elements on websites, scroll, click buttons, fill out forms, and, if granted credentials, even log into your online accounts. For the first time since the AI's launch, it can perform tasks instead of spitting out some text on how to do it yourself. On the surface, the potential seems endless. The chatbot could reply to your emails, shop for groceries, book a flight, or perform even more complex tasks spanning multiple websites. The best part is that you can watch ChatGPT 'move' its mouse cursor around the virtual web browser and navigate the internet (as you can see in the video below). Admittedly, it's a lot like a toddler struggling to walk at times, but it's endlessly fascinating nonetheless. So what can ChatGPT's Agent mode actually do with all of these capabilities? To answer that question, I tested the feature with a couple of real-world tasks — the kind you might actually want to offload to an AI assistant. Here's how it handled them, and what ChatGPT did when it encountered an obstacle. Putting ChatGPT Agent to work: A grocery run Amazon's Alexa can add toilet paper to your cart with a voice command, but ChatGPT's Agent mode can be entrusted to do a whole lot more. Specifically, it can shop your entire grocery list on any platform of your choice. Case in point: I gave the agent a simple task: buy everything I would need for a homemade pizza from Walmart. I didn't offer any specific ingredients, items, or even guidance on price just to see what it would pick. The agent booted up a virtual computer and navigated to Walmart in no time. But it ran into a roadblock almost immediately — Walmart threw up an anti-bot verification screen requiring a human to press and hold a button. Shockingly, the agent recognized this screen and asked me to briefly take control of the browser and complete the task. I took control and about ten seconds later, we were in. I handed control back, and the agent immediately got to work. It looks like CAPTCHAs will need to evolve yet again if they are to keep bots out in the future. ChatGPT summoned me when it needed a human touch, which it turns out means just solving CAPTCHAs. Moving on, I watched the agent methodically search for 'pizza dough,' 'pizza sauce,' 'mozzarella cheese,' and 'pepperoni.' But to my surprise, the agent didn't just grab the first result. Instead, it prioritized familiar and well-priced alternatives just like I personally would. In more than one instance, I watched it pick the third or fourth item in the results or call a competing product overpriced. The agent also correctly moved past inaccurate search results like a fully premade frozen pepperoni pizza when it was merely shopping for pepperoni, the ingredient. Within four minutes, my virtual cart was filled with everything I needed to make a pizza. The agent navigated to the checkout page and then handed control back to me to complete another CAPTCHA, login, and enter my payment details securely. ChatGPT says it cannot see your inputs when you're in control of its virtual machine, presumably meaning it can't store your login or credit card info. Despite that, I didn't elect to enter my login details and therefore, spent the night without any pizza. Needless to say, this was a very impressive showing even if it was a rather straightforward task with a clear sequence of actions. But can the agent handle something more ambiguous? I decided to give it a harder challenge: find a list of used car candidates on Facebook Marketplace. Can ChatGPT find the perfect used car? I love Facebook Marketplace because there's always a great deal around the corner, but I dread scrolling through the hundreds of listings to find the right one. So I put ChatGPT's Agent mode to the task, fully expecting it to stumble at some point. Specifically, I asked it to log into my Facebook account, navigate to the Marketplace tab, and compile a list of used Honda Fit specimens. As if that wasn't difficult enough, I asked it to only look for 2015 to 2020 models within a 50-kilometer radius of Toronto. Much to my surprise, the agent started off strong and logged into my Facebook account without a hiccup. I did have to step in to provide a two-factor authentication code, but other than that, it was an entirely painless process. ChatGPT navigated to the Marketplace section, changed the location to the city I provided, and even adjusted the maximum distance filter. It then started going through individual listings and recorded important details about each car it came across. To be fair, ChatGPT's Agent mode is not faster than a human — I could probably go through individual listings faster than the agent, at least in its current state. But like any computer, ChatGPT is stubbornly persistent. After watching it look through listings for a few minutes, I walked away from my computer to grab a coffee. When I returned about ten minutes later, the agent was still meticulously clicking on individual listings. ChatGPT is stubbornly persistent, and scrolled through over a hundred listings on Facebook Marketplace. The final result was a comprehensive report of two to three dozen cars that met my criteria. As the image above shows, the agent had compiled a detailed brief for each vehicle it found. It organized the key details into columns: year and model, price and mileage, transmission, and location. It even created a notes section where it summarized the seller's description, pulling out crucial information like 'dealer listing,' 'salvage title,' or 'open to negotiation.' Finally, each line item had a screenshot of the Marketplace listing for me to peruse if I was interested in that specific vehicle. If that seems impressive, it absolutely is. Putting together a list like this manually would otherwise have taken me at least a couple of hours. And the best part is that I could probably go one step further and ask the ChatGPT agent to contact the shortlisted sellers on my behalf. It's not the responsible thing to do, but it's certainly a possibility. Not perfect, but impressive…and scary Calvin Wankhede / Android Authority ChatGPT's Agent mode is not perfect by any means; I watched it go in an endless loop countless times until I was forced to intervene. It can also follow instructions too closely, almost to a fault. For example, it refused to accept a search radius of 51km instead of the 50km I prescribed on a different used auto website. The result? The agent used its virtual mouse to 'drag' a slider back and forth for several seconds until it landed precisely on the 50km it needed. Common sense doesn't come naturally to AI, even in agent mode. I also noticed a pretty big delay between ChatGPT executing an action like clicking on a link or pressing the browser's back button. This causes the AI to retry the action, which is a big problem because it inevitably ends up on the wrong page. At times, the agent would click the back button twice and end up on the homepage. It would then restart the whole search all over again, wasting several minutes in the process. ChatGPT Agent can be a bumbling fool sometimes, but it's only going to get better. But for all its clumsy moments, the true significance of Agent mode isn't in its current speed or ability. The fact that I could walk away to make a coffee while an AI autonomously compiled a detailed report on used cars is the main value proposition here. The potential for increased productivity is massive. But at the same time, I'm not sure how I feel about an AI making decisions on my behalf. So the question now is: how much more autonomy are we willing to hand over to AI? If you'd like to use Agent mode, keep in mind that you will need a ChatGPT Plus subscription. That will set you back $20 monthly, and the feature is currently capped at just 40 messages each month. But if you're patient, I'm sure it will eventually trickle down to the free tier just like other new ChatGPT features in the past. Follow

Business Insider
an hour ago
- Business Insider
There's a spending split between Americans, and it's popping up from McDonald's to Uber
If you've been waiting for the shoe to drop on the US consumer economy, keep waiting. Strong results from some retail brands during the first half of this year are defying the economic warning bells that have been ringing for several quarters now. Recent earnings calls have revealed a pattern that points to a continued split in Americans' spending, and some CEOs are approaching the gap with caution. 2 types of spending Looking at brands across the consumer economy, a tale of two shoppers emerges. While consumers with annual earnings of at least $100,000 increased their spending in the first six months of 2025, those making less than $50,000 a year did almost the exact opposite, pulling back on spending each month, Morning Consult's lead economist, Kayla Bruun, wrote last week. "The story is inconsistent across income groups," Bruun wrote. Amazon CEO Andy Jassy said last week that the e-commerce juggernaut saw the biggest-ever Prime Day event and that tariffs haven't caused much of a dent in the retail business. "In the first half of the year, in the first half, we just haven't seen diminished demand," he said. And Costco said said Wednesday that fiscal year comparable sales in the US are up 6.2% from the prior year, with visits up 4.3% in the US. Those results might be hiding a more complicated picture, and the state of the US consumer will become clearer in the coming weeks when companies including Walmart and Target report their financials. For now, though, companies are highlighting this growing divide between the wealthy and the less affluent. While McDonald's reported same-store sales growth of 3.8% on Wednesday, CEO Chris Kempczinski said the industry continues to see a decline in visits from low-income customers. It's a big focus for McDonald's because low-income customers are more frequent buyers than those in higher income brackets, he said. "This bifurcated consumer base is why we remain cautious about the overall near-term health of the US consumer. In this environment, we will continue to remain agile with respect to our value offerings to ensure the US strengthens its leadership in value and affordability," Kempczinski said. Kempczinski said that reintroducing menu items at the $2.99 price point was essential in improving customer perception of the burger chain's value, especially as lower-income household budgets tighten. Executives at Yum Brands and Chipotle have echoed the same sentiment in recent earnings calls. Both have launched value-driven promotions and limited-time menu offerings to drive foot traffic as quick-service restaurants see fewer customers coming through their doors. Hotels are seeing a similar trend, Booking Holdings' chief financial officer, Ewout Steenbergen, said on an earnings call last week. "We see generally, top end of the US consumer market will be a little stronger, spending more in the 5-star hotel category, spending more on international travel," he said. "We see at the lower end, more careful behavior," the CFO added. "Pressure on the domestic travel, on the lower-star rated hotels, so there is definitely a little bit more of the negative behavior that we see in terms of impact to the US consumer." Consumers are spending, but the devil is in the details Another company that's seeing a consumer split is Uber. Uber's ride-hailing business grew in the late spring, notching a 16% increase in revenue during the company's latest quarter. Two groups of riders appear to be driving that growth. The company cited lifts from both its higher-priced rides, such as its Comfort and Black offerings, and from some options that generally carry cheaper fares, such as its wait-and-save option. "Different parts of our demographic are sensitive to price, and then there are other parts of our demographic who want a premium product," CEO Dara Khosrowshahi said. "So what you're seeing from us is actually a barbell strategy." People also continue to spend on Uber's services, especially for food delivery. The company's delivery revenue rose 20%, beating analysts' expectations in its second-quarter earnings report on Wednesday. "At this point, we're not seeing weakness in the consumer," Khosrowshahi told CNBC on Wednesday. Foot traffic data from and Colliers indicates that while retail visits were up compared to the same period a year earlier, customers favored more affordable brands and experiences — like Chili's, Crunch Fitness, Ollie's Bargain Outlet, and HomeGoods — over bigger-ticket discretionary purchases, like home improvement and electronics. The analysis also found that brands with middle- and upper-income consumers, like Nordstrom, Staples, LA Fitness, and Barnes & Noble, saw the most significant gains in the first half of the year. "This suggests that while value matters, brands don't need the lowest prices to win customers," Colliers' national research manager for retail services, Nicole Larson, wrote about the chains that target more affluent shoppers. "Brands that effectively communicate their value proposition can thrive, no matter the final price point."


Newsweek
an hour ago
- Newsweek
Amazon's 'Project Blue' Rejected Amid Water Fears
Based on facts, either observed and verified firsthand by the reporter, or reported and verified from knowledgeable sources. Newsweek AI is in beta. Translations may contain inaccuracies—please refer to the original content. The Tucson City Council in Arizona has unanimously voted to reject Amazon's Project Blue data center. At a meeting on Wednesday, council members voted 7-0 to block the project, citing strong public opposition and concerns about the high water use. Newsweek has contacted the council and Amazon for comment via emails sent outside regular business hours. Why It Matters Project Blue was billed as an investment that could generate $250 million in tax revenue and create 3,000 temporary construction jobs and up to 180 permanent jobs, according to the Tucson Sentinel, which cited the developers. But critics argued the environmental costs far outweighed the benefits. Demand for data centers has surged with the rise of cloud computing and artificial intelligence. While advocates say they generate strong tax revenue for local governments and require a huge number of construction jobs to build, critics say the centers themselves employ relatively few people. And some communities have pushed back over concerns about the environmental and social impact. In an aerial view, an Amazon Web Services data center is shown situated near single-family homes on July 17, 2024 in Stone Ridge, Virginia. In an aerial view, an Amazon Web Services data center is shown situated near single-family homes on July 17, 2024 in Stone Ridge, To Know Government officials and representatives of developers had refused to confirm Amazon was behind Project Blue, citing the requirements of nondisclosure agreements. But Councilmember Rocque Perez mentioned Amazon by name during Wednesday's meeting, the Sentinel reported. Pima County supervisors had approved the sale of 290 acres of land for the project, according to local station KGUN 9. But it needed approval to annex the site into city limits so that it could procure the huge amounts of water needed to cool the center's operations each day. The first two sites combined would have required almost 2,000 acre-feet of water each year, making them Tucson Water's biggest customer, the Sentinel reported. City officials said the project would become "net water positive" because developers would invest in projects to secure new water resources offset their water use. The project would use drinkable water for the first two years before switching to reclaimed water once a developer-funded pipeline is built. The project faced criticism at three public meetings in recent weeks, including two in-person meetings that attracted up to 1,000 residents. Many cited the high water use, saying data centers should not be built in Tucson's desert environment. What People Are Saying Ward 1 Councilmember Lane Santa Cruz said, per KGUN 9: "Construction jobs might come, but they'll leave as fast as they arrive. And the reality is, data centers require very few long term workers. This won't bring good, paying jobs, dignified jobs, the people actually need in this community. So let's talk about the basics, water and energy. Headline after headline, city after city, we've seen how these facilities drain power and water." Ward 4 Councilmember Nikki Lee said during Wednesday's meeting: "Project Blue represents a lot of things to a lot of people right now, more than just the data center and the project itself. It's a distrust in government. It's a distrust in corporations. It's a very large distrust in tech companies, a distrust in technology and privacy in general, and a fear of artificial intelligence and how fast things are moving and how little control we have." The No Desert Data Center Coalition, which opposed Project Blue, said in a statement: "The rejection of Project Blue by Tucson City Council is a huge victory for our desert community and would not have happened without thousands of Tucsonans coming out to vehemently oppose it. We thank the Mayor and Council for standing strong and not folding to Beale's intimidation tactics and greenwashing propaganda. Tucson made the right decision to halt Amazon's harmful data center in its tracks and protect our water, air and a liveable climate. We will remain vigilant because we know big corporations like Amazon, Beale and TEP have a hard time taking no for an answer and we are committed to stopping any data center they try to force on us within our watershed." What's Next The vote ordered city staff to stop working with the project's developers. The city council also voted for the city continue to develop regulations for future data center proposals.