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Amazon Launches AI Shopping Tool, Meta Invests $72 Billion

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Amazon is enhancing its shopping experience with a new AI tool called 'Help Me Decide.' This feature analyzes customer browsing history, searches, and past purchases to recommend the best product, offering explanations and budget or upgrade options. The tool is available to millions of U.S. customers on the Amazon Shopping app and mobile web, utilizing generative AI and AWS services like Bedrock. Meanwhile, Meta is reportedly cutting around 600 jobs in its AI units to increase agility, though its TBD Lab remains unaffected and continues hiring. This comes as Meta invests heavily in AI, with $72 billion allocated for 2025, and works to scale its Privacy Aware Infrastructure for responsible generative AI innovation. In the financial sector, McKinsey warns that banks could face a profit loss of up to $170 billion if they don't adapt to customers using AI for financial management, as autonomous AI agents could reduce profits from low-interest accounts. The U.S. Air Force is also advancing AI adoption by planning to lease thousands of acres of land at bases like Edwards Air Force Base to private companies for AI data centers, requiring significant investments of at least $500 million. On a smaller scale, a new service called Car Edge uses AI for a $50 fee to negotiate car deals for buyers, aiming to save them money and time. In public service, Montgomery County is forming an AI Advisory Council to guide the responsible integration of AI into government operations. Elsewhere, Alberta aims to become an AI superpower by leveraging its natural gas reserves to power data centers. In higher education, universities are rapidly adopting AI, driven by labor challenges and private sector influence, raising questions about faculty autonomy. Finally, studies suggest AI now demonstrates higher perceived empathy than physicians, though this stems from linguistic precision rather than genuine emotion.

Key Takeaways

Amazon has launched 'Help Me Decide,' an AI tool that analyzes user data to recommend products with explanations and alternative options.
Meta is cutting approximately 600 jobs in its AI units to improve agility, despite a $72 billion AI investment planned for 2025.
McKinsey estimates banks could lose up to $170 billion in profits if they fail to adapt to AI-driven customer financial management.
The U.S. Air Force plans to lease land for private AI data centers, requiring companies to invest at least $500 million.
A new AI service, Car Edge, negotiates car deals for buyers for a $50 fee, aiming to save them money and time.
Montgomery County has established an AI Advisory Council to guide the ethical integration of AI in public services.
Alberta intends to become an AI superpower by using its natural gas reserves to power data centers.
Studies indicate AI exhibits higher perceived empathy than doctors in patient interactions.
Universities are accelerating AI adoption, influenced by labor issues and private enterprise, impacting faculty roles.
Meta is enhancing its Privacy Aware Infrastructure to support responsible generative AI development.

Amazon's new AI button helps you decide what to buy

Amazon has launched a new AI tool called 'Help Me Decide' to assist shoppers. This feature analyzes your browsing history, searches, and past purchases to recommend the best product for you. It provides a clear explanation for its suggestion and also offers budget and upgrade options. The 'Help Me Decide' button appears on product pages after you view similar items or can be accessed from the homepage. This tool is currently available to millions of U.S. customers on the Amazon Shopping app and mobile web.

Amazon's AI feature 'Help Me Decide' simplifies product choices

Amazon introduced 'Help Me Decide,' an AI-powered feature designed to simplify shopping by recommending the best product for you. The tool analyzes your browsing history and preferences to make a personalized suggestion, explaining why it's a good fit. It also offers budget and upgrade options. This feature aims to help customers quickly choose between similar items and is available on the Amazon Shopping app and mobile browser for millions of U.S. users. Amazon is using generative AI and AWS services like Bedrock to enhance the customer experience.

Amazon's AI tool explains why it recommends products

Amazon has launched a new AI feature called 'Help me decide' that suggests products and explains the reasoning behind its choices. The tool considers your searches, browsing, and shopping history to recommend items and justify why they are suitable. It can also suggest cheaper or more expensive alternatives. The 'Help me decide' button appears after viewing similar items or under the 'Keep shopping for' option on the homepage. This feature uses large language models and AWS services like Bedrock to personalize recommendations for U.S. customers on the Amazon app and website.

Amazon's AI tool helps shoppers pick the best product

Amazon has rolled out its 'Help Me Decide' AI tool, which recommends the best product for shoppers based on their preferences. The tool appears after a user browses similar items or can be found under the 'Keep shopping for' option. It provides a main recommendation along with 'upgrade' and 'budget' alternatives. This feature is available on the Amazon shopping app and mobile browser starting October 23, 2025. It is part of a larger trend of retailers using AI to assist customers with purchasing decisions.

Amazon uses AI to simplify shopping with 'Help Me Decide'

Amazon has introduced a new AI tool called 'Help Me Decide' to make shopping easier for customers. This feature analyzes a user's browsing activity, searches, and shopping history to recommend specific products. It also explains why the product was chosen, highlighting features and customer reviews. Customers can find 'Help Me Decide' on product detail pages after viewing similar items or by tapping 'Keep shopping for' on the homepage. The tool also offers upgrade and budget options, aiming to improve the customer experience.

Amazon's 'Help Me Decide' AI tool offers personalized picks

Amazon has launched 'Help Me Decide,' an AI tool designed to help shoppers choose products. The feature uses generative AI to analyze user behavior and provide personalized recommendations with explanations. It offers a top pick, along with budget and premium alternatives. This tool builds on Amazon's other AI shopping features like Rufus, the AI shopping assistant. 'Help Me Decide' is available to U.S. customers on the Amazon mobile app and website, aiming to streamline the online shopping process.

Amazon's AI shopping assistant 'Help Me Decide' launches

Amazon has released 'Help Me Decide,' a new AI shopping feature that assists customers in choosing products. The tool analyzes user searches, browsing, and purchase history to offer tailored recommendations and explain the reasoning behind them. It utilizes large language models and AWS services like Bedrock. 'Help Me Decide' is available in the U.S. on the Amazon Shopping app and web, appearing after users view multiple similar items. This feature is part of Amazon's ongoing effort to enhance the shopping experience with AI.

Amazon's AI tool 'Help Me Decide' guides shoppers

Amazon has introduced 'Help Me Decide,' an AI-powered feature to help shoppers compare similar items and make a purchase decision. The tool analyzes browsing activity, searches, and purchase history to recommend the right product and explain why it's a good fit. It also offers upgrade and budget options. For example, it might suggest a tent based on past searches for camping gear. This feature is rolling out to millions of U.S. customers on Amazon's mobile app and website, with broader availability planned.

Amazon's AI tool helps customers choose products

Amazon has launched 'Help Me Decide,' an AI tool that provides personalized product recommendations based on customer behavior. The tool analyzes browsing activity, searches, and shopping history to suggest the best item and explain the reasoning. It appears on product detail pages after viewing similar items or can be accessed via the 'Keep shopping for' option. Customers can also explore upgrade and budget alternatives. This feature aims to simplify the shopping process and is available on the Amazon shopping app and mobile browser.

McKinsey: Banks could lose $170 billion from AI adoption

Banks may face a profit loss of up to $170 billion if they do not adapt to customers using artificial intelligence to manage their finances. McKinsey predicts that customer adoption of autonomous AI agents could significantly impact profits from low-interest accounts. This shift could lead to a 9% profit drop for banks, potentially pushing their returns below their cost of capital. While AI can offer cost savings for banks, competition is expected to erode these gains, benefiting customers more. Early adopters of AI may gain a competitive advantage.

Banks face $170 billion AI profit hit warns McKinsey

McKinsey warns that banks could lose as much as $170 billion in profits if they fail to adapt to customers using AI for financial optimization. The consultancy firm predicts that the rise of autonomous AI agents will impact profits from low-interest accounts. This could result in a 9% profit decrease for banks, potentially falling below their cost of capital. While AI offers cost savings, competition may reduce these benefits for banks, with customers likely to gain the most. Banks that adopt AI early may secure a competitive advantage.

US Air Force to lease land for private AI data centers

The U.S. Air Force plans to lease thousands of acres of land, mainly at Edwards Air Force Base in California, to private companies for AI data centers. This initiative aims to support the growing need for computing power in AI development and deployment. By partnering with the private sector, the Air Force can leverage existing infrastructure and facilitate AI advancements. This move highlights the increasing importance of AI in military operations and the significant resources required to support it. Specifics of the lease agreements are expected soon.

Air Force to lease base land for private AI data centers

The U.S. Air Force is seeking to lease thousands of acres across five bases, primarily Edwards Air Force Base, to private firms for building AI data centers. This initiative supports President Trump's executive orders to speed up AI adoption and data center construction. The goal is to provide crucial infrastructure for AI development, with the Air Force stating this is an opportunity for outside organizations. Companies must meet requirements like a 100-megawatt load and a $500 million investment. Leases could extend up to 50 years.

Meta cuts 600 AI jobs for agility

Meta is reportedly cutting about 600 jobs in its artificial intelligence unit, specifically within its Superintelligence group, FAIR AI research, and AI infrastructure teams. The company states these reductions are aimed at increasing agility and making decision-making faster. Meta's TBD Lab, which works on large language models, will not be affected and continues to hire. This move comes as Meta has been investing heavily in AI hiring to improve its results. The company's AI investments for 2025 total $72 billion.

Meta scales privacy infrastructure for GenAI innovation

Meta is enhancing its Privacy Aware Infrastructure (PAI) to enable product teams to responsibly use generative AI (GenAI). This infrastructure addresses challenges like rapid data growth, evolving privacy requirements, and accelerated innovation cycles. PAI integrates privacy into product development by providing data observability, automated policy enforcement, and scalability. For example, Meta's AI glasses use GenAI for real-time information and contextual overlays, requiring robust privacy controls. This approach aims to build user trust while fostering product innovation.

Car Edge AI negotiates car deals for buyers

A new AI-powered service called Car Edge aims to simplify car buying by handling negotiations, communications, and pricing research. For a $50 fee, the AI agent contacts dealerships on behalf of the buyer, using compiled market data to negotiate the best possible price. Users can track the process via a dashboard and take over to finalize the deal. Car Edge sets realistic expectations and aims to reduce the time buyers spend at dealerships, potentially saving them around $1,500 in three days. The service seeks to level the playing field in vehicle purchasing.

Montgomery County forms AI Advisory Council

Montgomery County is holding the first meeting of its new Advisory Council on Artificial Intelligence for Public Good on October 27, 2025. The 24-member council, formed in September 2025, includes experts from public and private sectors. Its purpose is to guide policy and strategy for responsibly integrating AI into public operations to improve government services and build public trust. The council will focus on areas like smart governance, public safety, and ethical compliance. County Commissioner Neil Makhija will open the meeting.

AI shows more empathy than doctors

Artificial intelligence now demonstrates higher perceived empathy than physicians, according to recent studies. Patients feel understood and supported by AI systems, which score higher in empathy in 13 out of 15 studies. While artificial empathy is effective, it relies on linguistic precision rather than genuine feeling. This 'empathy illusion' works because AI cues acknowledgment and validation, leading humans to project emotional depth. The convergence of functional empathy and measurable outcomes raises questions about the future definition of care, especially in medicine.

Higher education's AI adoption driven by more than technology

Universities are rapidly adopting AI, a trend driven by factors beyond the technology itself. This rush reflects broader labor struggles and the influence of private enterprise on public spending and research. Universities are increasingly treated as incubators for AI companies, with administrators and donors circumventing faculty in decision-making. This shift, fueled by educational technology (Ed Tech) and donor funding, aims to capitalize on AI's potential while potentially diminishing the role of academic expertise. The trend raises concerns about the future of education and faculty autonomy.

Alberta aims to be AI superpower using gas reserves

Alberta's government plans to leverage its natural gas reserves to become a major player in artificial intelligence. Premier Danielle Smith's government aims to attract AI data centers and build new pipelines to reduce economic reliance on resource exports. The province seeks to become an 'AI superpower,' combining its energy resources with computing power. Alberta's abundant natural gas supplies are seen as ideal for powering data centers, supported by a highly educated population. This strategy aims to position Alberta as a leader in both energy and AI.