Samsung SmartTag 2 trackers are still available for 48 percent off for Prime Day
Luckily, right now you can still pick up a Samsung Galaxy SmartTag 2 for a record-low price thanks to continuing Prime Day deals. Our pick as the best Bluetooth tracker for Samsung devices is down to $15.50 from $30 — a 48 percent discount. The only catch is that just the white model has such a steep markdown. If you want to pick up a bunch of trackers then check out the four-pack option, on sale for $62, down from $100.
The Samsung Galaxy SmartTag 2 is a solid purchase due to features like being IP67-rated water- and dust-resistant, a sizeable keychain hoop and over 16 months of battery life. It also emits a ring louder than competitors like the AirTag or Tile. The only snag is that you must have a Samsung device in order to use it.
Get it now for 48 percent off $16 at Amazon
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CoreWeave vs. Amazon: Which AI Infra Stock Has More Upside Right Now?
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Let's break down how each company is performing and which one looks like the better investment right now. CoreWeave: A Fast-Growing Pure-Play AI Infra Provider CoreWeave is well-positioned to gain from the AI infrastructure boom. In the last earnings call, management highlighted that AI is forecasted to have a global economic impact of $20 trillion by 2030, while the total addressable market is anticipated to increase to $400 billion by 2028. Strategic partnerships with major players like OpenAI and NVIDIA bode well, along with a massive $259 billion revenue backlog. Apart from a $11.9 billion deal with OpenAI, CRWV has added several new enterprise customers and a hyperscaler client. It has signed expansion agreements with many customers, including a $4 billion expansion with a big AI-enterprise customer. CRWV added that the $4 billion expansion agreement signed with a big AI client will be reflected in revenue backlog beginning in the second quarter. Apart from scaling capacity and getting adequate financing for infrastructure, CRWV is also expanding its go-to-market capabilities. Moreover, the buyout of the Weights and Biases acquisition has added 1,400 AI labs and enterprises as clients for CoreWeave. The stock has declined sharply post its announcement of $9 billion takeover of Core Scientific. Since the announcement on July 7, CRWV has lost nearly 25%. Apart from scrutiny surrounding the company's latest acquisition bid, it also faces other headwinds. CRWV's aggressive capital deployment strategy is a key concern. CRWV expects capex to be between $20 billion and $23 billion for 2025 due to accelerated investment in the platform to meet customer demand. High capex, even with a success-based model, exposes CoreWeave to execution risks if contract revenue does not materialize on time. CoreWeave's aggressive data center buildout is being funded in part by debt, leading to ballooning interest expenses, which can exert pressure on the adjusted net income and potentially affect free cash flow generation. Stiff competition from the likes of AWS and Azure, and intense customer concentration risk remain concerning. CoreWeave's 77% of total revenues in 2024 came from the top two customers. Amazon: Aggressive Expansion AWS is the market leader in the cloud compute space and is now aggressively moving into AI infrastructure. To stay ahead of rivals, Amazon has launched custom AI chips (Trainium and Inferentia) and strengthened partnerships with the likes of NVIDIA while forging new collaborations with other AI developers to train and deploy models on AWS. AWS revenues surged 17% year over year in the first quarter of 2025, with an annualized revenue run rate pegged at $117 billion. AWS backlog reached $189 billion with a 4.1-year weighted average life, offering forward revenue visibility. In the last reported quarter, AWS signed new agreements with major companies, including Ericsson, Adobe, Uber Technologies, Nasdaq, Fujitsu and many others. Amazon highlighted that more than 85% of global IT spending is still on-premises, suggesting immense growth potential for AWS. Its increasing investments in generative AI are likely to continue aiding it in gaining momentum among cloud customers in the near term. More importantly, Amazon's AI business segment now operates at a multi-billion-dollar annual revenue run rate with triple-digit percentage growth year over year. Amazon's strategy focuses on custom silicon development, particularly its Trainium 2 chips, which offer 30-40% better price performance compared to GPU-based instances. The company has also expanded its AI model offerings through Amazon Bedrock and introduced services like Amazon Nova foundation models. AMZN has added the latest foundation models in Amazon Bedrock, including Anthropic's Claude 3.7 Sonnet, Meta's Llama 4 family of models, DeepSeek's R1 and Mistral AI's Pixtral Large. AMZN is ramping up investment to build its technology infrastructure, primarily related to AWS and for custom silicon like Trainium. Moreover, its diversified businesses and stupendous financial resources give it an edge. As of March 31, 2025, cash and cash equivalents were $66.2 billion, while operating cash flow generated in the first quarter stood at nearly $17 billion. However, capacity constraints pose a challenge. Amazon has indicated that AI demand currently outstrips available capacity, suggesting the company could drive higher revenues with additional infrastructure. The intense competition from Microsoft's Azure and Google Cloud is concerning. Heavy capex spend could strain margins if AI returns do not materialize. 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Amazon Now Employs Almost As Many Robots As People
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Scott Dresser, vice president of Amazon Robotics, said DeepFleet will reduce robots' travel times by about 10 percent. 'Think of DeepFleet as an intelligent traffic management system for a city filled with cars moving through congested streets,' Dresser wrote in a blog post detailing the upgrade. 'Just as a smart traffic system could reduce wait times and create better routes for drivers, DeepFleet coordinates our robots' movements to optimize how they navigate our fulfillment centers. This means less congestion, more efficient paths, and faster processing of customer orders.' DeepFleet, like many of today's AI-based technologies, will only become more effective as it ingests further data and warehouse scenarios in real time, Dresser said. While Dresser's blog post did not make it clear whether the two projects were interconnected, researchers at the Massachusetts Institute of Technology (MIT) announced last year that they had been using deep-learning models to segment warehouse robots in an effort to control traffic and curtail accidents—and MIT disclosed that Amazon supported that project at the time. According to Amazon, robots have a role in handling three-quarters of all customer orders globally. The company contends that in the process of building out its robotic fleets it has also upskilled more than 700,000 employees in an effort to prepare them for the future of work, which indubitably involves AI systems, robots and more. Still, in a memo last month, CEO Andy Jassy noted that the company will likely shed jobs because of the further proliferation of AI—and, in particular, generative AI. 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Byte-Sized AI: Google's User Try-On Goes Live; Nike Beta Tests In-App Conversational AI
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And with the recent news that OpenAI may soon look to take commissions on sales made through the ChatGPT interface, brands and retailers are likely looking for ways to entice their existing shoppers on their own platforms. Erdirik Dogan said the tool has already started enriching Nike shoppers' e-commerce experiences. 'The early signs are exciting. Consumers are engaging with NikeAI the way we hoped they would, using it to discover products that truly fit their needs,' Erdirik Dogan wrote. Startup expands Series B round with support from Amazon Redmond, Wash.-based startup Lumotive announced this week that it had reopened its Series B round to allow Amazon's Industrial Innovation Fund and ITHCA Group, the technology investment arm under Oman's sovereign wealth fund, the Oman Investment Authority. The additional funds brought Lumotive's Series B to $59 million, up from the $45 million it initially announced in February. 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We're excited to support their mission and see broad potential for their technology in industrial automation, robotics and beyond.' The retail and logistics giant's investment comes as it continues to scale up its aspirations and deployment of robots and drone-based delivery. Last month, the company announced it had deployed its millionth robot, bringing the number of robots it has deployed close to parity with the number of human employees it has. Recent reports have also noted that Amazon is working to test humanoid robots as part of its delivery strategy; Lumotive chips can be used to upgrade the capabilities of humanoids, in addition to non-mobile robots, like the ones Amazon deploys in its fulfillment centers and warehouses. Google goes live with previously teased AI shopping features Google announced this week that users across the U.S. can now use photos of themselves for virtual try-on. The tool had previously been launched as an experiment in Google's Search Labs, but after tests yielded successful results, it rolled out to all users on Thursday. In May, Google said the tool primarily focuses on giving the user a rough idea of what a specific garment would look like, and noted that fit considerations would likely be added into the model powering the experience over time. To use the tool, consumers submit a well-lit, full-body photo, ideally wearing form-fitting clothes. The launch comes as consumers indicated strong demand for seeing items on their own body prior to purchasing, even though Google also offers customers a view of what the same items would look like on AI-generated digital avatars. Beyond its now-launched virtual try-on upgrade, Google also announced that it has started rolling out an AI-enabled press tracking tool, which it first shared details about in May. The tool allows consumers to put a price tracker on a specific item, down to the exact color and size they prefer. From there, the tool sends an alert when that product hits the price the consumer has set. In May, Google said the tool would eventually allow an AI agent to purchase the product on behalf of the consumer once the price hit the desired point; the company did not mention that feature of the tool being part of the now-started rollout. For now, consumers will instead receive an alert from Google when the item being tracked has hit a specific price point, Danielle Buckley, director of product, consumer shopping, said in a blog. 'The Shopping Graph has products and prices from all across the web—so we'll let you know when there's an offer that meets your criteria. No more constantly checking to see if that bag you're eyeing is finally at the right price for you or forgetting to come back to a product you loved!' she wrote. Google's AI Mode feature, which will allow consumers to conversationally seek products with queries like, 'I'm looking for style inspo for a green flowy dress for a garden party' rather than searching for the product directly, is expected to roll out in the fall. The company uses vision match technology to pair users' queries with the most applicable products for their searches.
