Amazon Tightens Its Grip: From Business Credit Cards to AI Shopping Assistants

Amazon is quietly weaving a tighter web around its customers, blending financial services, artificial intelligence, and cloud computing into a single, sticky ecosystem. The latest moves – a pair of new business credit cards and the rebranding of its shopping chatbot Rufus to “Alexa for Shopping” – may seem incremental on their own. Taken together, they reveal a company determined to lock in spending, whether from small firms ordering office supplies or consumers asking a voice assistant for product recommendations.

Banking on Business Buyers

The e-commerce giant has partnered with U.S. Bank and Mastercard to launch Prime Business and Amazon Business Credit Cards, aimed at small, medium, and larger enterprise customers. The cards are designed to embed financing directly into the procurement workflow. Companies already buy regularly through Amazon Business; now Amazon wants them to handle payment, credit lines, and rewards within its own system as well.

The logic is straightforward: monetize the high frequency of business purchases. Last year, Amazon delivered more than 13 billion items on the same or next day globally. That speed makes the platform especially sticky for recurring corporate orders. The credit card push is a natural extension of that logistics advantage.

A Unified Shopping Brain

On the consumer side, Amazon launched Alexa for Shopping on May 13, folding the Rufus chatbot into a broader AI assistant that works across the app, web, and Echo devices. No Prime subscription is required. Rufus had already amassed over 300 million users in 2025, with monthly active users jumping 115% year-over-year. Rather than abandon that base, Amazon is migrating it into a more powerful framework.

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The new assistant goes beyond simple Q&A. It includes automatic price monitoring, scheduled auto-purchases when a target price is hit, reordering for household staples, and personalized shopping guides. These features are less about novelty and more about building recurring revenue infrastructure. The move also counters the creeping encroachment of other AI platforms that are integrating shopping capabilities into their own assistants.

Cloud Powering the Real Engine

Investors, however, are laser-focused on Amazon Web Services. The cloud division generated $37.59 billion in revenue in the first quarter, with growth accelerating to 28% – its fastest clip in 15 quarters. The primary driver is demand for AI infrastructure, and Amazon is benefiting not just through data centers but also its own chips.

The chip business has reached an annualized revenue run rate of $20 billion, growing at triple-digit percentages. That momentum underpins the bull case that Amazon can play a major role in the AI infrastructure market. OpenAI has committed to two gigawatts of Trainium capacity starting in 2027, while Anthropic is securing up to five gigawatts. The current Trainium2 architecture is already running with roughly 1.4 million chips.

The Cost of Ambition

All this expansion comes with a hefty price tag. Capital expenditures could reach $200 billion this year, a figure that dwarfs the company’s recent free cash flow of just $1.2 billion. That tension – buying growth through massive upfront investment – is the central debate around the stock.

The market is willing to accept the trade-off as long as AWS keeps accelerating and AI clients sign long-term capacity commitments. Amazon’s cloud business is approaching an annualized base of $150 billion. Analyst price targets now stretch as high as $333 to $350 per share. TD Cowen, for instance, has a $350 target and notes that the recent uptrend remains intact.

Alexa’s New Workmates

Beyond retail and cloud, Amazon is also adding specialized AI agents for enterprise customers through AWS. Four new agentic solutions have been bolted onto Amazon Connect: Connect Decisions for supply chains, Connect Talent for recruiting, Connect Customer for conversational AI, and Connect Health for healthcare applications. The standout is Connect Talent, which promises to shrink hiring processes from weeks to days.

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Early adopters include United Airlines and U.S. Bank. United deployed the customer service module within three months. For AWS, such real-world productivity gains are critical as corporate clients demand measurable results rather than AI showpieces.

Stock Holding Its Ground

Amazon shares recently traded at €226.30 in Europe, little changed on the day. Over the past month the stock has gained 11.18%, and it is up 17.06% year-to-date. In the primary listing, the equity sits at around €230.15, just 1.69% below its annual high. The 13.07% monthly advance reflects the high expectations already priced into the name.

The near-term focus will be on two transitions: the migration of Rufus users into Alexa for Shopping, and the adoption rate of AWS’s new AI agents among corporate clients. If both succeed, the $200 billion infrastructure bill gains a clearer justification. If usage lags behind reach, the cost pressure will move front and center – and the stock’s premium will hinge ever more on whether Amazon can convert its massive AI bets into margin-rich cloud growth.

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