Amazon (AMZN +0.04%) has a reasonable chance of generating strong returns from its investments in AI.
Amazon says that Meta's Muse violates its terms of services. Meanwhile, retail platforms like Walmart, Shopify, and Best Buy have recently announced integrations with Muse.
Its AWS cloud service accounts for the vast majority of Amazon's profits. AWS is also growing substantially faster than Amazon's other divisions.
Amazon is making fast, free Prime delivery available beyond Amazon.com, giving merchants another way to use the company's logistics network to compete for online shoppers, according to a Thursday (Sept. 24) press release.
Amazon spent decades trying to make itself the place where merchants sell. Its next act may be considerably more ambitious: becoming the place where merchants run their businesses, regardless of where the sale happens.
New reports this week from The New York Times and NBC's TODAY show detail how residents in Richardson, Texas, — a Dallas suburb near a major Amazon fulfillment facility — are bearing the brunt of Prime Air's ambitious expansion.
Amazon's full-stack AI strategy drives AWS, chips, retail and ad growth, while Meta faces rising costs and legal uncertainties.
On September 21, an investor post that Chamath Palihapitiya amplified claimed Amazon had cut off Meta's new Muse shopping agent from scraping its inventory, with Palihapitiya responding that he suspected everyone would start blocking everyone.
AMZN is expanding agentic AI across seller tools, advertising and AWS, but heavy AI spending raises questions about when monetization will catch up.
AWS is booming, custom silicon is fully subscribed, and Wall Street has loaded up on buy ratings, but the real question is whether Amazon can clear a target that even the bulls have not fully priced in.
Ask the market a question. Get a calculated answer.
The AI is not a chatbot bolted onto a document store. It calls the same analytics engine that powers every screen on this platform — so what comes back is a number it computed from raw history, with the command that produced it.
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Global equities, ETFs, funds, options, FX, commodities, crypto, economics, filings, transcripts and news — one normalised symbol universe with adjusted history.
A real analytics engine
Screening, backtesting, technicals, options analytics, correlations, seasonality and factor models — computed on demand from raw prices, never a stale cache.
It shows its working
Answers arrive with the charts, tables and tool calls behind them, so you can check the number instead of trusting a paraphrase.
Your own documents
Upload filings, decks and research. Ask across them and the answer cites the page it came from.
Agents and workflows
Multi-step research that runs the platform's tools for you — screen, pull the history, compute, compare, then write it up.
MCP, CLI and API
The same command catalogue from Claude, your own agent, a shell or your pipeline. The answer on screen is the answer your job gets at 4am.
You ask
“How does NVDA usually trade through earnings?”
It calls
→ ka.options_expected_move(NVDA)
It answers
NVDA has averaged a 9.2% absolute move on the day after earnings and closed higher 67% of the time. Two in three reactions land between −4.2% and +16.3% — the distribution is skewed right, not symmetric.
Every figure computed live from our own history — not scraped, not summarised.
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