Amazon is a technology company whose main businesses are e-commerce and cloud computing through AWS. Recent coverage has focused on its AI infrastructure spending: over $77 billion on property and equipment in Q3, 2026 cash capex expected at about $220 billion, and an $80 billion supplier loan facility. Amazon also scaled back most Nova models, reorganized AI teams, added 100+ shopping features to Alexa, and saw its shares fall after capex came in above expectations.
The AI trade cracked for a third straight week: Alphabet missed revenue estimates and fell nearly 13% in a day, erasing about $482 billion in market value; Amazon earned $1.89 a share versus $1.96 expected; Intel plunged about 28% on weak guidance. Investors rotated into defensives and Treasuries, Michigan automakers rebounded, and the Fed held rates at 3.75%-4%.
A Chicago Booth panel debated whether AI poses excessive risk to the economy, citing a Goldman Sachs report projecting global AI capital spending to exceed $1 trillion in 2026. Most agreed risks exist, noting hyperscaler debt and vendor financing increase fragility, though risk-return remains favorable.
Amazon reported higher-than-expected capex and its slowest e-commerce growth in three years, adding to concerns over Big Tech's massive AI spending. Citizens analyst Andrew Boone discussed the results on Bloomberg Open Interest.
Amazon has set up supplier financing arrangements to borrow as much as $80B against the value of hardware it buys, aiming to preserve financial flexibility as it spends hundreds of billions on AI infrastructure.
The Nasdaq 100 is set to erase more than $2 trillion in October, down over 5.8%, as Meta, Alphabet and Amazon raised AI capex forecasts. Alphabet posted its largest one-day decline on record, while Microsoft and SpaceX results showed AI investments starting to pay off.
On its Q3 earnings call, DoorDash said third-party AI agents such as Muse, Instinct and Fo have placed only "several hundred" orders, versus roughly 3 million deliveries a day. CEO Tony Xu called the area still dynamic, said DoorDash wants a healthy relationship with agent developers and floated future advertising inside agents.
Tech shares fell for a second straight day as disappointing earnings accelerated a rotation out of the AI trade. Amazon dropped 7.3% after capital spending came in above expectations, while Intel plunged 23% after its revenue forecast missed analyst estimates.
Amazon CEO Jassy reiterated AWS can become the first $1 trillion annual-revenue business, with 2026 cash capex expected at about $220 billion, mostly for AWS, and more in 2027. AWS is a $184 billion annualized run-rate business growing 39% year over year, and Jassy expects growth above 40% in both 2027 and 2028.
Amazon spent more than $77 billion on property and equipment in Q3, far above analysts' estimates, as it builds data centers to meet AI services demand.
The Nasdaq 100 fell as Alphabet's record 13% drop on an ad sales miss and Microsoft's plan to raise at least $25 billion from a bond sale revived doubts over returns on massive AI spending.
Ahead of the holidays, Amazon added over 100 shopping capabilities to Alexa, including list and subscription management, editing delivery instructions, and answering Prime billing questions. Amazon says agentic-feature usage has grown 8x this year, and 400M+ consumers used Alexa for shopping in the past 12 months.
Amazon issued new guidelines telling engineers to stop excessive AI token usage just to appear productive, stressing that AI will be central to software development but usage volume is not the goal.
Micron, a leading maker of AI memory chips, has seen its stock soar 225% this year but trades about 24% below its all-time high. Amazon raised its 2026 capex to $220 billion due to higher memory costs, and Alphabet lifted its forecast to $195-205 billion. The global memory shortage could dominate earnings discussions and drive Micron shares higher.
Bloomberg reports that Amazon, after its in-house LLMs underperformed, is scaling back most Nova models, putting text, image and video models on minimal "keep the lights on" support. Resources are shifting to a single frontier-model effort led by Pieter Abbeel, whose robotics firm Covariant Amazon acquired in 2024. The move follows last week's closure of an 80-person AGI research office in San Francisco.
TechCrunch rounded up popular AI wearables like Bee and Friend, spanning pendants, rings, and wristbands. Bee costs $49.99 with a $19 monthly subscription, while Friend is a $129 emotional companion pendant. After acquiring Bee in July 2025, Amazon launched Bee Frontier ($74.99) and Bee Eclipse ($99.99). OpenAI is also developing a compact AI companion device.
Atlanta-based Destined AI released Hurston-1, an Apache-2.0 narrowband TTS model strong in Southern American and regional African English accents, fine-tuned on 136 hours of consented audio from Maya1. The founder says it has supported customers like Amazon and Salesforce and generated over $500K.
AI uncovered a PHP vulnerability affecting 70% of the internet but also fueled exploits, highlighting a paradox. However, the bigger risk is AI infrastructure debt: $3.5 trillion in global spending by 2030, with US hyperscaler capex hitting $800 billion in 2026. Hidden commitments and circular investments could trigger an 'AI Enron' financial crisis.
Uber burned through its entire 2026 AI budget in four months and now caps employees at $1,500 per month per AI coding tool. Amazon, Walmart, Cisco, Meta and others are limiting access, setting spending caps or shifting work to cheaper models. Customers aren't abandoning AI but are blending price tiers and demanding proof of value, pressuring OpenAI and Anthropic.
US tech giants reported earnings, with investors scrutinizing AI spending plans. Meta's plan to spend about $825 billion over the next decade made investors nervous, while Microsoft, Alphabet, and Amazon may fare better.
Anthropic has delayed its IPO amid safety concerns and pressure from NYC's pension fund. Its leaked prospectus shows $4.6B in 2025 revenue, a $42B net loss, and a targeted $2T valuation. The market sees this as a sign of an AI bubble resembling the dot-com era.
PYMNTS Intelligence data shows nearly 45% of AI-shopping consumers purchased from new online stores, and 40% changed where they shop due to AI. Yet Amazon captures nearly 60% of recent AI-assisted purchases, revealing that AI drives discovery but not necessarily checkout conversion. For independent retailers, the opportunity lies in making transactions compelling enough to pull shoppers from trusted marketplaces.
Walmart launched Agent Gateway, an MCP-based server from Anthropic's protocol, letting approved AI agents search inventory and buy for users with spending and transaction controls across Walmart and Sam's Club. It contrasts with Amazon's blocking of AI agents; Walmart already partners with Meta's Muse and integrates ChatGPT and Gemini.
Amazon has open-sourced TorchNeuron, AI software for its Trainium chips, aiming to lower the barrier for developers and challenge Nvidia's dominance in AI accelerators. The move continues Amazon's strategy of using in-house chips and an open software ecosystem to win AI compute share.
Bloomberg reports that AI wearables from Amazon and Meta are raising privacy concerns over always-listening capabilities. The always-on devices continue to draw scrutiny over how they collect and use user data.
Billionaire David Tepper's Appaloosa Management has about 31% of its public equity portfolio in Micron Technology and Amazon. Micron accounts for 15.06% after a ~41% stake cut; its Q4 fiscal 2026 revenue jumped 379% to $54.2 billion and EPS rose 1003%.
Internal documents released in a court case show Amazon uses an in-house AI forecasting tool, Atlas, to score US, Canadian and UK warehouses on union activity risk from 100 to 900, drawing on hundreds of data points including Reddit posts and internal surveys. Workers at a Coventry site say they were unaware.
Vercel's AI gateway data shows Jev, a lightweight decision model from TypeSafe AI, was used by 35% of paid teams within two weeks of launch, nearly double the reach of second-place Sonnet 5.5 — the fastest two-week adoption Vercel has recorded. Released in limited form on September 15, Jev constrains outputs to run cheaper and faster for classification, prompting rival offerings from OpenAI and Amazon. Open source models now account for over 70% of tokens but under 25% of spend on the gateway.
Cerebras closed its May debut at $311.07, 68% above its IPO price, but the stock has since fallen 52%. Its wafer-scale chips have drawn OpenAI inference work and an AWS pairing with Trainium; a disappointing Q2 report sent shares down 20%, yet the median analyst target is about double the current price.
Amazon SVP of Devices Panos Panay said at TechCrunch Disrupt that personal computing is shifting to ambient AI devices that anticipate needs in the background instead of waiting for commands. Amazon launched its Bee AI wearables the same day, which passively record audio, process it in real time, and delete the raw audio to protect privacy.
Amazon launched two AI wearables that record and analyze a person's day, along with a $12-a-month subscription. The move reshapes Bee, the startup Amazon acquired last year, as it competes in AI hardware.
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