A Chinese AI startup called Moonshot just hooked its language model up to Wall Street's financial data feeds. The company announced partnerships with CICC and a bunch of venture capital firms who apparently looked at the current state of retail trading and thought it needed more automation.
The pitch here is that an AI trained on Chinese data will now digest real-time market information from the same terminals that actual professionals use. This means the gap between institutional incompetence and retail incompetence just got narrower. Progress.
Moonshot's model can now pull from the same Bloomberg feeds and financial databases that hedge funds pay six figures annually to access. The difference is those guys lose other people's money while you'll lose your own. But hey, at least the AI will explain why in fluent Mandarin.
CICC signed on as a partner. That's China International Capital Corporation for those keeping score at home. They're an investment bank. Investment banks partnering with AI companies to deliver faster market insights is like hiring a cheetah to chase a tennis ball. Impressive speed. Completely pointless outcome.
The venture capital firms involved presumably see a future where every day trader has access to institutional-grade data analysis powered by artificial intelligence. That future already exists. It's called losing money with confidence instead of losing money with doubt.
Moonshot joins the growing list of companies convinced that what financial markets really need is more participants making faster decisions based on data they don't understand. The model can process news, earnings reports, and market sentiment in milliseconds. It cannot process the fact that none of this will help you pick stocks.
Wall Street's leading data providers just sold shovels to another gold rush, except this time the shovels speak Mandarin and the gold is imaginary.
Photo by Gabriella Clare Marino on Unsplash
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